Fundamentals of algorithmics / Gilles Brassard, Paul Bratley. Englewood Cliffs : Prentice-Hall, 1996
Data Structures and Algorithms in Python / Michael T. Goodrich, Roberto Tamassia, Michael H. Goldwasser. John Wiley & Sons, 2013.
Introduction to algorithms / Thomas H. Cormen ... [et al.]. Cambridge, Mass. : MIT Press, 2001
Programming pearls / Jon Bentley. Reading : Addison-Wesley, 1986
Continuing evaluation: homework assignments (30%), midterm (20%)
Exam: written with oral consultation (50%)
To succesfully complete the course, student has to obtain at least 50% of points on the final exam
Final grade: A 90%, B 80%, C 70%, D 60%, E 50%
Computational complexity. Sorting algorithms. Priority queue. Dictionary. Text search. Methods of designing efficient algorithms (greedy algorithms, dynamic programming, divide and conquer). Representations of graphs and elementary graph algorithms. NP-hard and NP-complete problems.
http://compbio.fmph.uniba.sk/vyuka/eads
50/50
Students will learn the basics of data structures and will be able to use basic methods of designing efficient algorithms. They will be able to work with basic concepts of computational complexity.
actual documentation for each technology
w3schools.com
own electronic texts published on the website or in the Moodle environment
Intermediate assessment: practical assignments
Exam: practical (at least 70% of the semester points are needed)
Indicative evaluation scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
- HTML: document structuring, content formatting elements, basic page elements including multimedia objects, code validation, tables, forms and their appropriate structuring.
- Cascading Style Sheets (CSS): properties and their values, selectors, pseudo-classes, properties for formatting fonts and text, tables and other objects, colors, backgrounds, lengths, units, box model, object placement, visual document formatting, styles for different devices, Media Queries, other CSS options with respect to current versions.
- Introduction to CSS frameworks, e.g. Bootstrap + responsive pages.
- Basic information on website accessibility.
https://sluzby.fmph.uniba.sk/moodle/1-AIN-112
20/80
After completing the course, students will be able to create a correct web page (in HTML) with the correct structure and correctly formatted content. The design will be implemented using CSS and will be adapted to different devices (using MediaQueries or CSS framework). The pages will fulfil the basic conditions of accessibility for people with special needs.
Students will be introduced to the basics of JavaScript, which will allow them to work with HTML elements, edit CSS and work with forms.
Discrete and combinatorial mathematics : An applied introduction / Ralph P. Grimaldi. Boston : Pearson/Addison-Wesley, 2004
Teória čísel / Štefan Znám. Bratislava : Alfa, 1986
Kombinatorika a teória grafov / Štefan Znám. Bratislava : Univerzita Komenského, 1989
Kombinatorika a teória grafov I / Martin Knor. Bratislava : Univerzita Komenského, 2000
Množiny a všeličo okolo nich / Lev Bukovský. Košice : Univerzita Pavla Jozefa Šafárika, 2005
Kapitoly z diskrétní matematiky / Jiří Matoušek, Jaroslav Nešetřil. Praha : Karolinum, 2007
Concrete Mathematics : A Foundation for Computer Science / Ronald L. Graham, Donald E. Knuth, Oren Patashnik. Upper Saddle River : Addison-Wesley, 1994
T. Jajcayova, J. Komara: elektronic texts published on web page and in MOODLE
Continuous assessment: graded homework, quizzes, activities in exercises, tests. The student must obtain at least 55% of points from the semester in order to take the final exam.
Examination: an examination consisting of a written and an oral part. The student must obtain at least 50% from the written part. Approximate scale: A 90%, B 80%, C 70%, D 60%, E 55%
Slovak, English
Introduction to combinatorics.
Basic enumeration principles and combinatorial configurations.
Basic combinatorial identities: Pascal's formula, binomial and multinomial theorems.
Inclusion/exclusion principle
Fundamentals of logic.
Logic formulae: propositional-logical conjunctions, quantifiers.
Basic types of mathematical proofs:
proof of equality and equivalence,
direct and indirect proofs, proof by contradiction,
proof by case analysis.
(Illustrated on basic number theory: divisibility, prime numbers, etc.)
Inductive definitions and mathematical induction.
Fundamentals of set theory.
Basic set relations and operations.
Binary relations: basic concepts, composition of relations, reverse relations.
Mappings: basic concepts, composition of functions, discrete functions used in computer science.
Injective, surjective and bijective functions.
Inverse function.
Introduction to discrete probability.
Experiment and random event.
Bernoulli's scheme.
Conditional probability.
Bayesian theorem.
https://dai.fmph.uniba.sk/w/Course:Mathematics_1_-_Introduction_to_Mathematical_Reasoning/en
50/50
The lecture will provide students with the mathematical foundations necessary for the study of computer science. Students will also learn mathematical culture, way of thinking, and argumentation in mathematics, as well as basic proof techniques.
After completing the course, they will have built a broad base of examples, on which they can demonstrate concepts and methods in mathematics, and also in other subjects, e.g. programming. They will have practical skills in working with concepts in discrete mathematics.
Summerfield: Programming in Python 3, Addison-Wesley Professional 2009
Miller: How to Think Like a Computer Scientist: Interactive Edition, web: http://interactivepython.org/runestone/static/thinkcspy/index.html
Continuing evaluation: homework assignments (30%)
Exam: midterm (20%) , written exam (50%)
To successfully complete the course, student has to obtain at least 50% of points
Final grade: A 90%, B 80%, C 70%, D 60%, E 50%
slovak, english
Python programming language development environment;
programs, functions, recursion, modules;
data structures, lists, strings, files, dictionaries, sets;
graphical applications, events;
object-oriented programming, inheritance, polymorphism.
http://python.input.sk/
30/70
Students will gain basic programming skills in the Python object-oriented programming language, become familiar with the basic data structures of the language, and gain their first skills with object-oriented programming.
Design patterns : Elements of reusable object-oriented software / Erich Gamma ... [et al.]. Boston : Addison-Wesley, 1995.
Architektúra softvérových systémov : Architektúra internetových systémov a architektúra orientovaná na služby / Ľubor Šešera, Peter Grec, Pavol Návrat. Bratislava : Slovenská technická univerzita, 2011.
Aplikačné architektúry softvérových systémov / Ľubor Šešera. Bratislava : Slovenská technická univerzita, 2012.
Čistý kód / Robert C. Martin ; překlad Jiří Berka. Brno : Computer Press, 2009.
Software engineering : Modern approaches / Eric J. Braude, Michael E. Bernstein. Hoboken : Wiley, 2011.
Sun Certified Enterprise Architect for Java EE study guide / Mark Cade, Humphrey Sheil. Upper Saddle River : Prentice Hall, 2010.
Jacobsen et al: The Essentials of Modern Software Engineering, Association for Computer Machinery and Morgan & Claypool Publishers, 2019.
Evaluation during semester: tests, midterm, active participation on team meetings
Exam: practical form - video presentation about the realized project
Approximate grading: A 90%, B 82%, C 73%, D 64%, E 55%
Slovak, English
- Stages in development of information system
- Tranditional development models
- Agile methods of IS development
- Specification of requirements of IS
- UML
- Design of IS
- Design patterns
- Integration of applications
- Source code repositories
- Clean code
- Soft skills
- Social and ethical aspects of information technology
- Introduction to running business and launching startups
https://dai.fmph.uniba.sk/w/Course:Information_Systems_Development/sk
50/50
Students will know in detail phases and models of information systems development including agile methods, clean code principles, they will be able to read and draw basic UML diagrams, use design patterns, understand and use software version control systems and they will have experienced a complete information system development from requirements specification till deployment team project with combined model of development, while they will have acquired the skills and experiences of team cooperation and communication. They will also be acquainted with elementary principles of and social and ethical aspects of information technology and learn about running a business and launching startups.
P.Kaprálik, J.Galanová, M.Polakovič: Logické systémy, STU 2009 ISBN 978-80-227-3205-5
J. M. Bernard, J. Hugon: Od logických obvodu k mikroprocesorum I- IV SNTL, Praha 1984
Alan Clements: Principles of Computer Hardware, Oxford University Press, Fourth edition 2006, ISBN 0-19-927313-8
Logické systémy / Norbert Frištacký ... [et al.]. Bratislava : Alfa, 1990
Continuing evaluation: tests
At least 50% aggregate score from tests is required for the admission to the exam.
Exam: exam
Indicative grading scheme: A 90%, B 80%, C 72%, D 65%, E 60%
Supplementary classification in case of repair test - oral exam is possible.
Slovak, English
Principles of circuits DDL, DTL and TTL
Boolean functions - combinatorial logical networks and their optimization
Selected combinatorial curcuits (adder, multiplexer, demultiplexer)
Physical implementation of automata (sequential circuits and their applications)
RS and D flip-flops, counter, shift register, three-state output, memory control R/W, parallel code converter, RS232 interface, static and dynamic RAMs and their organization
Microprocessors
Microprocessor structure
Arithmetic-logic unit (ALU) structure
Implementation of instructions and their classification
Addressing methods, internal and external memory
Auxiliary devices, their connection and data transfer, bus
Implementation of coupling circuits for memory and peripherals
Characteristics affecting computer performance, clock fequency, access time, transmission capacity, register size
Programming of single-chip microcomputers in higher and low-level programming language
Fundamentals of robotics, types of signals, their processing and control
http://davinci.fmph.uniba.sk/~gregus2/PPH/index.html
or MOODLE
70/30
Students acquire essential knowledge of principles and properties of basic digital circuits. Gain practical experience to design and construct digital electronic devices and programing selected microprocessors and simple robotic systems.
J. Korbas: Linearna algebra a geometria I
J. Smital, E. Gedeonova, S. Znam: Uvod do linearnej algebry
J. Smii tal, E. Gedeonova: Linearna Algebra
P. Zlatos: Linearna algebra a geometria
Jim Hefferon: Linear Algebra
Robert A. Beezer: A First Course in Linear Algebra
Steven J. Leon: Linear Algebra with Applications, 9th Edition, Pearson Education
Continuous assessment: graded homework, quizzes, activities in exercises, midterms. The student must obtain at least 55% of points from the semester in order to take the final exam.
Examination: an examination consisting of a written and an oral part. The student must obtain at least 50% of the points from the written part. Approximate scale: A 90%, B 80%, C 70%, D 60%, E 55%
Slovak, English
Matrices and matrix operations, determinants.
The concept of a group, specific matrix groups.
Systems of linear equations.
Solution spaces, vector spaces.
Scalar product, vector product in 3-dimensional space.
Linear and affine spaces.
Eigenvectors and eigenvalues.
https://sluzby.fmph.uniba.sk/moodle/1-AIN-152
50/50
After completing the course, students will be familiar with the fundamentals of linear algebra needed in informatics and computer graphics.
Discrete and combinatorial mathematics : An applied introduction / Ralph P. Grimaldi. Boston : Pearson/Addison-Wesley, 2004
Teória čísel / Štefan Znám. Bratislava : Alfa, 1986
Kombinatorika a teória grafov / Štefan Znám. Bratislava : Univerzita Komenského, 1989
Kombinatorika a teória grafov I / Martin Knor. Bratislava : Univerzita Komenského, 2000
Množiny a všeličo okolo nich / Lev Bukovský. Košice : Univerzita Pavla Jozefa Šafárika, 2005
Kapitoly z diskrétní matematiky / Jiří Matoušek, Jaroslav Nešetřil. Praha : Karolinum, 2007
Concrete Mathematics : A Foundation for Computer Science / Ronald L. Graham, Donald E. Knuth, Oren Patashnik. Upper Saddle River : Addison-Wesley, 1994
T. Jajcayova, J. Komara: electronic texts published on web page and in MOODLE
1-AIN-121/15 Discrete Mathematics 1
Continuous assessment: graded homework, quizzes, activities in exercises, tests. The student must obtain at least 55% of points from the semester in order to take the final exam.
Examination: an examination consisting of a written and an oral part. The student must obtain at least 50% of the points from the written part. Approximate scale: A 90%, B 80%, C 70%, D 60%, E 55%
Slovak, English
Relations on a set, representations of relations (sets, graphs and matrices), properties of relations,
(Illustrated on basic number theory: divisibility, prime numbers, modular arithmetic, etc.)
important relations (equivalence, partial orders), partitions of a set.
Graph theory, basic concepts.
Advanced enumeration: principles, algorithms and complexity analysis of these algorithms.
Set theory - cardinalities of sets, countable and uncountable sets. (Illustrated on the basic theory of formal languages and combinatorics on words.) Cantor's diagonalization method.
Recurrence relations, homogeneous, inhomogeneous, solutions of recurrence equations of the 1st and 2nd order (in the case of complex roots, review of basic operations and properties, trigonometric form of complex numbers.) Applications to the complexity analysis of algorithms.
Genrating functions.
https://dai.fmph.uniba.sk/w/Course:Mathematics_3_-_Discrete_Mathematics/en
50/50
The lecture continues to build the mathematical foundations, as well as more advanced concepts of discrete mathematics necessary for the study of computer science, with an emphasis on the algorithmic approach, applications in computer science and programming. Students will be trained in mathematical culture and way of thinking and argumentation in mathematics.
Robin R. Murphy: Introduction to AI Robotics, Second Edition
MIT Press, 2019.
From Animals to Animats, Proceedings to conferences 1-16, 1991-2021.
Evaluation during semester: reports, projects
Approximate evaluation scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak or English
The topics of the seminar include also: robotic control architectures, probabilistic robotics, multi-robot systems, evolutionary robotics, sensor systems and actuators, educational robotics, robotic contests, entertainment robotics, service robotics, embedded systems.
https://kempelen.dai.fmph.uniba.sk/rg/
100/0
A student will understand control and programming of robots, processing signals from sensors, he or she will experience preparation and realisation of a individual or group project with robotic technologies in a lab with the support of the teacher.
https://drive.google.com/drive/folders/0B-KEfquAkWGzb0FoN1BDaUIwR2s
Miller, Ranum: Problem Solving with Algorithms and Data Structures using Python, Interactive Edition, web: http://interactivepython.org/runestone/static/pythonds/index.html
Continuing evaluation: homework assignments (30%)
Exam: midterm (20%) , written exam (50%)
To successfully complete the course, student has to obtain at least 60% of points
Final grade: A 88%, B 81%, C 74%, D 67%, E 60%
more advanced data structures: stacks, queues, linked lists, trees, graphs
various applications and basic algorithms with linked data structures
basic sorting, searching and generating algorithms
http://python.input.sk/
30/70
Students will be introduced to more advanced linked data structures and basic algorithms on these structures.
Principles of Object Programming, Learning Programming Language C++, Developing Algorithmic Skills, Programming Small Applications, Training Test Driven Development Methodology
Principles of Object Programming, Learning Programming Language C++, developing algorithmic skills, principles of agile programming , Training Test Driven Development Methodology, learning clean code programming and demonstrating errors we make.
1. Virius, Miroslav, Jazyky C a C++, Grada, 2011
2. Virius, Miroslav, 1001 tipů a triků pro C++, Computer Press, a.s., Brno
2011
3. Sutter, Herb, Alexandrescu, Andrei, C++ - 101 programovacích technik,
Addison-Wesley, Zoner Press, Brno, 2005
4. Eckel, Bruce, Myslíme v C++, Grada, 2000
5. Eckel, Bruce, Allison, Chuck, Myslíme v C++ (2. díl), Grada, 2006
6. Virius, Miroslav, Pasti a propasti jazyka C++, 2. aktualizované a
rozšířené vydání, CP Books, Computer Press, Brno, 2005
Continuing evaluation: homework assignments (40%))
Exam: written with oral consultation (33%)
Project: (27%)
To successfully complete the course, student has to obtain at least 75% of points on the homework assignement and to obtain at least 60% of points on the final exam.
Final grade: A 90%, B 86%, C 80%, D 70%, E 60%
Slovak, English
Statements, variable types, arrays, multi-dimensional arrays
Functions, operators and their overloading
Pointers, arrays, pointers to pointers, pointers to functions
Global, local, static variables, type definitions
Structures, classes
Class hierarchy, abstract classes, dynamic inheritance, multiple inheritance
Class constructors and destructors
Function and method arguments, return values
Streams, work with files
Templates, STL, intelligent pointers
Exceptions
Parallelism
https://dai.fmph.uniba.sk/~gyarfas
40/60
The students will be able to use learned algorithms to design object programs in C++ language, they will be able to solve practical assignments and independently propose and implement application in the language. They will be able to employ the methodology of test-driven programming.
design of algorithms in object-oriented environment, programming in JAVA and design of applications with the user's interface with JavaFX library.
2 hrs. lessons, 2 hrs. excersise
Eckel,B.: Thinking in Java, Prentice Hall, 1997 Goodrich,M.T, Tamassia,R.: Data Structures and Algorithms in Java, 3rd Ed., John Wiley & Sons, 2004 Herout,P.: Učebnice jazyka Java, Kopp,2003, Weiss M.A.: Data Structures & Problem Solving Using Java, Addison Wesley, 1998.
1-AIN-172 Programovanie (4)
regular exercises, small programming project, 2xquadterms+midterm 70/30 2xQuadterms 1xmidterm exam homeworks (12x3), 2xquadterms (2x15), midterm (25), project (15), exam (30)
A 90%, B 80%, C 70%, D 60%, E 50%
Slovak
basic programming constructs of the language, comparison with C++
- basic data types and language components
- fundamental JAVA libraries
- linear data structures
- object-orient programming in JAVA, classes, inheritance, interfaces
- Java Collections
- Java I/O, serialization
- data structures and algorithms
- threads and concurrent programs
- design of applications with user's interface – JavaFX
- Java Reflection Model
http://dai.fmph.uniba.sk/courses/JAVA/
70% (homeworks, excercises, projekt) 30% (exam)
design of algorithms in object-oriented environment, programming in JAVA and design of applications with the user's interface with JavaFX library
exam with computer
Remzi H. Arpaci-Dusseau, Andrea C. Arpaci-Dusseau and Peter Reiher: Operating Systems: Three Easy Pieces, Arpaci-Dusseau Books, August, 2018.
Andrew S. Tanenbaum and Herbert Bos: Modern Operating Systems, Fourth Edition,
Pearson, 2014.
Students read in advance selected chapters from the textbook (Remzi & Arpaci-Dusseau). In the classroom, students fill-out a quiz in order to verify completion of this task. In addition, they solve practical tasks related to the topic. Students can complete the tasks at home. To qualify for a final credit, students need to correctly answer 70% of quiz questions, and solve 70% of practical tasks. The grade is calculated proportionally to the score achieved.
Slovak, English
Address spaces, segmentation and paging, swapping, multithreaded and parallel programs, synchronization mechanisms: mutexes, semaphores, condition variables, input/output devices, organization of hard drives and ssd, file systems, journaling, data integrity and security, user maintenance.
https://dai.fmph.uniba.sk/w/Course:Operating_Systems/sk
100/0 during semester, with the possiblity of exam in case of lack of points
Students will be able to use typical services of operating systems in their C programs. They will understand concepts from the theory and practice of operating systems: memory management, process and thread synchronization, input/output devices and file systems, user maintenance, and internal principles of modern operating systems. They will be able to apply the knowledge in operating systems administration and application development.
Mikroprocesory Intel Pentium a spol. / Michal Brandejs, available at http://www.fi.muni.cz/usr/brandejs/Brandejs_Mikroprocesory_Intel_Pentium_2010.pdf
Remzi H. Arpaci-Dusseau and Andrea C. Arpaci-Dusseau: Operating Systems: Three Easy Pieces, CreateSpace Independent Publishing Platform, 2018.
Andrew S. Tanenbaum and Herbert Bos: Modern Operating Systems, Fourth Edition, Pearson, 2014.
Students solve practical exercises in the lessons, where they need at least 70% to pass, and they also fill-in a quiz to verify they have learned the theoretical material, where they similarly also need to get 70% of points. For the struggling students, there is a possibilty to earn extra bonus points for extra work. In the second (shorter) part, students read in advance given chapters from the textbook Remzi & Arpaci-Dusseau, but the evaluation is the same in both parts.
Layered computer model, computer systems organization, representations of numbers in computers, bit operators, machine code level - specific example Intel® Pentium®, practical programming in assembly, compilation and linking, modules, selected services of operating systems from the point of view of application developer and their practical usage. Process management and scheduler.
https://dai.fmph.uniba.sk/w/Course:Principy_Pocitacov_Systemove_Programovanie/sk
100/0
After completing this course, students will understand the principles of computer architecture at the level of machine code, they will be able to write simple programs in assembly language. They will be able to use typical operating system services in their C programs. Students will understand the concepts from the theory of operating systems> process management and scheduler, they will understand internal principles of how modern operating systems work. They will be able to apply the acquired skills in administration of operating systems and while developing applications.
Matematická analýza 1 / Milan Gera, Vladimír Ďurikovič. Bratislava : Alfa, 1990
Matematika : diel 1 : pre štúdium technických vied / Igor Kluvánek, Ladislav Mišík, Marko Švec. Bratislava : Alfa, 1971
Matematická analýza 1 / Jiří Brabec, František Martan, Zdeněk Rozenský. Praha : Státní nakladatelství technické literatury, 1985
For the semester, the student can get 30 points for exercises, 30 points for written exams, the final written exam has a weight of 30 points. The student must obtain at least 25 points per semester and at least 15 points from the final written exam. Grading: A (82-90 points), B (73-81 points), C (64-72 points), D (55-63 points), E (46-54 points), Fx (0-45 points).
Weight of the ongoing / final assessment: ongoing assessment 67% (33% exercise + 33% written exams) / 33% final written exam.
Slovak, English
Real numbers. Elementar functions. basic properties of functions (monotonicity, local extrema). Continuity and limit. Derivation and its geometrical interpretation, derivation as a velocity of change. General rules for differentiation. Applications of the derivative. Antiderivatives and indefinite integrals, general rules for integration. The idea of Riemann integral, the fundamental theorem.
67/33
After completing the course the student is able to use the terms limit, derivative and integral in describing the results of events described using the functions of one variable and will master the basic methods of calculations of limits, derivatives and integrals.
actual documentation for each technology
w3schools.com
own electronic texts published on the website or in the Moodle environment
1-AIN-112 Introduction to web technologies
Intermediate assessment: practical assignments, project (max 20%)
Exam: practical (at least 70% of the semester points are needed)
Indicative evaluation scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
- Server-side web applications
- Introduction to PHP
- Basic language structures (1)
- Variables, constants, strings, operators, conditions, loops
- Basic language structures (2)
- working with date and time, arrays, functions to work with arrays and strings
- Reusing code
- Form processing, input processing and treatment
- SESSION, COOKIES
- Introduction to working with a database
- Basic database queries
- SELECT, INSERT, UPDATE, DELETE
- Linking PHP to the database
- Working with multiple tables at the same time
https://sluzby.fmph.uniba.sk/moodle/1-AIN-189
20/80
After completing the course, students will be able to create a simple server-side web
application with personalized access to individual parts of the application. The data will be
stored in a database.
Continuous assessment: papers
Examination: written-oral examination
Indicative assessment scale: A 90%, B 80%, C 70%, D 60%, E 50%
Brief introduction to the main areas of theoretical computer science:
- Alphabets, Words, Languages and algorithmic problems
- Finite machines
- Turing machines
- Computability (introduction)
http://edi.fmph.uniba.sk/~winczer/uti.html
Introduction to theoretical computer science, to acquaint with classical and current areas of research, in which there are basic questions: Can all problems be solved algorithmically? How effective is the solution? What are the solution techniques?
After completing the course, students will know the formal definition of the computational medal (deterministic finite state machine, Turing machine and their nondeterministic variants), they will be able to prove that their proposed KA is the correct solution required by the assignment, or that the KA that solves the given problem does not exist. They will be able to modularly design KA and systematically also TS.
The end of the course introduces the basics of computability and the method of problem reduction.
Date, C: An Introduction to Database Systems, Pearson; 8th edition, 2004.
- Garcia-Molina, H, Ullman J.D., Wisdom, J.: Database Systems: The Complete Book, Prentice-
Hall, 2002
- Winand, M.: SQL Performance Explained, 2012.
- preparation and submission of all mandatory assignments and projects
- obtaining min. 20 points from:
- continuous tests (15% / points of the final grade), from which the student must obtain at least 6
points
- project (30% / points of the final grade)
- final test 55% / points of the final mark
Indicative rating scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
1. Introduction, motivation and basic concepts of database systems
2. Data modeling - conceptual level, E-R model
3. Relational model, transformation of conceptual model into schema in relational database
4. SQL language - DDL, DML, Relational algebra
5. SQL language - SELECT, JOIN
6. SQL language - Aggregations, CTE
7. SQL language - Constraints, Triggers
8. SQL language - Window Functions
9. Database connectors, O / R mapping, architectural patterns of data sources
10. Normalization of data models
11. Indices, demand optimization
12. ACID, Transactions, Parallelism
http://dai.fmph.uniba.sk/w?title=Introduction/sk&setlang=sk
45/55
The student will gain theoretical and practical knowledge of data modeling and database
technologies, can design and implement a program that uses persistence
relational database data.
Exam: evaluation of the document.
Evaluation scale:
A 92% (excellent document)
B 84% (very-well written document)
C 76% (well-written document)
D 68% (satisfactory written document)
E 60% (sufficient document)
Slovak, English
The student chooses a topic either in agreement with one of the teachers or from a list of free topics for year projects. He carries out the work on the project in cooperation with this teacher. The project can serve as a preparation for the Bachelor's thesis, so the student through this project can begin to meet the objectives of their Bachelor's thesis and then use the project as a basis for the final work. The output of the project is a written work with a structure similar to a Bachelor's thesis with a smaller scope.
https://dai.fmph.uniba.sk/w?title=Course:RPBP/en
0/100
Students will encounter for the first time the design and implementation of a larger software project or their own research, in the case of a theoretically focused project. They will acquire the ability to independently prepare a technical publication, they will get acquainted with the principles of technical writing, with the required structure of the Bachelor's thesis, with the literature and citing, etc.
talk, 2h/week, online synchronous
training, 2h/week, online synchronous
Priebežné hodnotenie: practical computer exercises
Skúška: practical computer exam
Orientačná stupnica hodnotenia: A 92%, B 84%, C 76%, D 68%, E 60%
- JavaScript basics
- Objects and classes in JavaScript
- Node.js
- Window, BOM a DOM
- Node.js: module Express
- Node.js: module Socket.IO , Promise
- Node.js: module mysql, Sessions
- HTML canvas
- Animations
- Media processing
- Drag&Drop and Web Worker
- Web Audio API
Graduate:
- knows advanced JavaScript syntax, HTML DOM structure and its JavaScript API
- creates JavaScript programs
- recognizes and uses the Node.js application and its modules Express, Socket.IO and Mysql
- understands distributed architecture, unidirectional and bidirectional communication between server and clients
- creates an interactive real-time web application using bidirectional communication
- creates graphic animations, sound effects, ... to increase the user-friendliness of the web application
During the exercises, the student must master the technologies taken over, through the implementation of a small project. At the end of the teaching part of the semester, the student must present his project implemented by modern technologies. For solved tasks, the student can get points in the continuous assessment.
Indicative rating scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
1. 3D scanning technologies
2. Representation of 3D data and work with them
3. 3D data processing
4. Robotic Operating System as an abstraction interface for robotics, Gazebo as a simulation tool
5. Neural networks, framework caffe, other tools for rapid prototyping
6. Establishment of a startup, obtaining an investment, patent protection, business plan
http://3d.photoneo.com
100/0
By completing the course the student will gain basic knowledge about current technologies of 3D imaging (Structured Light, Parallel structured light, Stereo vision, Photogrammetry, Time-of-Flight cameras) and storage of 3D data processing (depthmap, pointcloud).
The potential of these technologies for intelligent robotics and artificial intelligence (object recognition, object capture) will be presented.
Next, techniques that can be applied to the obtained data will be discussed: geometric algorithms, neural networks, convolutional neural networks, other machine learning algorithms.
Possible applications for industry and the consumer area will also be presented. As an additional topic will be the presentation of basic knowledge in the business application of academic ideas (i.e. how to establish a technological start-up).
Digital image processing / Rafael C. Gonzalez, Richard E. Woods. Upper Saddle River : Prentice-Hall, 2002
Hughes: Computer Graphics Principles and Practice, ISBN: 978-0-321399-52-6
Continuing evaluation: exercise assignments (50%).
Exam: written exam (50%).
To successfully complete the course, student has to obtain at least 50% of points on the exercise assignments and at least 50% on the final exam.
Final grade: A 90%, B 80%, C 70%, D 60%, E 50%.
Slovak, English
Rendering of 3D graphics, calculation of light and shadows, photorealism.
Representations of 3D objects (parametric, polygonal).
Modeling techniques (box modeling, parametric modeling, procedural).
Computer animation (keyframe technique, tweening, procedural animation)
Color spaces, additive and subtractive color models. Color depth.
Raster and vector graphics. 2D graphic formats.
Multimedia, 2D image compression, video compression, codecs.
Computer graphics applications: industrial and graphic design, computer games, virtual reality, scientific visualization.
Image digitization and its properties
Image preprocessing (image filtering, edge detection)
Segmentation (basic approaches)
Case studies (selected topics)
https://dai.fmph.uniba.sk/w?title=Course:Pocitacove_videnie/en&setlang=en
Continuing evaluation/Exam: 50/50.
The graduate will master the basic techniques of image processing, such as basic image transformations, basic techniques of image preprocessing (image filtering, edge detection), basic principles of segmentation.
The graduate is familiar with the basics of modeling and rendering procedures, computer animation and multimedia, can implement selected graphics algorithms and understands their mathematical background.
Liberty, J., MacDonald, B.: Learning C# 3.0. ISBN: 970-0-596-52106-6
Albahari, J., Albahari, B.: C# 4.0 Pocket Reference. ISBN: 978-1-441-39401-1
www.edi.fmph.uniba.sk/~salanci/C/index.html
Any available information about C# programming
1-AIN-210 Algorithms and data structures
Active work on practice lessons at which a student solve assigned tasks is required. At least 80% of completed practice lessons are need to be admitted to the final examination. During the final examination, the student solves a practical assignment on a computer and according to obtained score, he/she receives a grade: A (90%), B (80%), C (70%), D (60%), E (50%) or FX (less than 50%).
Slovak, English
Introduction to C#
Basic data types and program constructs
Properties and events, input and output
Files, arrays, objects
Dynamic data structures
Graphics, multimedia
Comparison of C# with other programming languages
Comparison of C# algorithms and data structure implementations with other programming languages
https://www.edu.fmph.uniba.sk/~salanci/C/index.html
0/100
Students will be able to solve problems in the C# programming language that require the design and use of custom data structures, object-oriented programming, and event-driven programming. They can evaluate the pros and cons of the C# programming language and compare it with other programming languages.
Official Unreal Engine technology documentation.
Own electronic texts.
3D game engine design : A practical approach to Real-Time computer graphics / David H. Eberly. Amsterdam: Elsevier, 2007
Real-time rendering / Tomas Akenine - Möller , Eric Haines, Naty Hoffman. Wellesley : AK Peters, 2008
none
Preliminary assessment: the project implementation
The indicative evaluation scale : A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
Review from basic ch gaming systems Description of game system architecture , editing options , creation of objects, import of models and materials, creation of own materials, creation of game maps, creation of terrain, procedural map generation, visual programming using Blueprints (functions, macros, structures, classes) and their connection with the scene . Working with input (mouse, keyboard) , playing sounds, playing and mixing animations, physics simulations, particle systems , explosions , player interaction with game objects, collisions, spatial triggers, projectiles and hits , laser beams , control of characters by the player - movement, jumping, flying, swimming, falling; working with the camera, playing cut scenes, computer-controlled characters, artificial intelligence, decision trees, blackboard, perception and reaction to events in the environment. Map switching, state transfer between maps, saving and loading game state , GUI and HUD programming, loading screens . Network games and connection with external programs.
https://db.dai.fmph.uniba.sk/teaching/ge1/
Scale of assessment (preliminary/final): 100/0
After completing the course, students will be able to work with freely available game systems and will be able to create a game and other visualization applications using these systems. Primarily, they will be able to work with the Unreal Engine environment.
[1] Russell, Stuart and Norvig, Peter: Artificial Intelligence: A Modern Approach (3rd Edition), Prentice Hall, USA, 2010.
[2] Návrat, Pavol a kol.: Umelá inteligencia (3. vydanie), Vydavateľstvo STU, Bratislava, 2015.
The course assessment consists of three parts: exercises (30%), semestral exams (20%), and final exam (50%). Student should get at least half of the achievable points from both exercises and the semestral exams, in order to meet the minimal condition to sit the final written exam. Grading: A (100-91), B (90-81), C (80-71), D (70-61), E (60-51), Fx (50-0).
English, Slovak
In the first half of the course, we provide the description of simple rational agents, logical agents, uninformed and informed search in the solution space, the basics of game theory, problems with restrictive conditions, optimization, more complex agents capable of inference including the propositional logic and inference using the knowledge base. In the second half of the course, we tackle learning from examples: supervised learning, classification and regression, multilayer feedforward neural network and its applications, model selection, generalization, unsupervised learning and self-organization. We also introduce some nonparametric models, like K-means clustering and K-nearest neighbour method.
http://dai.fmph.uniba.sk/w/Course:Introduction_to_artificial_intelligence
Practical work 50% (30% exercises + 20% tests) / 50% final exam.
The course covers the basics of symbolic and nature-inspired methods of artificial intelligence. The objective is to provide the students with insight into the area of problem-solving by means of Artificial Intelligence. Theory is combined with practical exercises. Gained knowledge and skills can be further extended in the related master programmes.
Learning OpenCV 3, Computer Vision in C++ with the OpenCV Library By Gary Bradski, Adrian Kaehler, O'Reilly Media, 2016
learnopencv.com
pointclouds.org
programming language Python
Preliminary assessment: homeworks, Final assessment:exam (written test at computer)
The indicative evaluation scale : A 90%, B 80%, C 70%, D 60%, E 50%
slovak, english
1. Image representation and its processing, color models, conversions between them
2. Morphological operations with image and contour detector and structural analysis
3. Filters and kernels. Edge operators.
4. Blending, apparent cloning, morphing, inpainting
5. Image segmentation. MeanShift filter. GrabCut. Intrinsic image.
6. Image alignment and registration. Phase correlation. ECC. Image features: SIFT, SURF, BRIEF, ORB.
7. Camera and video. Optical flow. Stereovision. Camera calibration
8. Machine learning: PCA, eigen images, SVM, cascade regressor
9. Object detectors. Hough's transformation. Haarov detector. HOG detector. LBPH
10. Tracking the movement of objects. Kalman filter. CamShift. MIL tracker. Motion detector.
11. Use of deep learning models: Colorization, YOLO detectors, vectorization and recognition, EAST text detector, Tesseract OCR, GOTURN
12. Usage of deep learning models: background removal, 3D reconstruction from 2D, 2D pose estimation, semantic segmentation.
13. Representation of 3D data and method of their acquisition. Reconstruction of 3D models, 6 DoF position estimation for gripping parts 14. Virtual reality, augmented reality
15. Applications: tracking the movement of cars from traffic cameras, tracking eye movement, processing 3D scans of characters
http://www.agentspace.org/praktikum
The scale of assessment (preliminary/final): 50/50
After completing the course, students will acquire basic skills in working with basic libraries for 2D and 3D data processing (images, scans): OpenCV and PCL. They will be able to use it in various programming projects using artificial intelligence methods, especially machine learning results.
Official Unreal Engine technology documentation.
Own electronic texts.
3D game engine design : A practical approach to Real-Time computer graphics / David H. Eberly. Amsterdam: Elsevier, 2007
Real-time rendering / Tomas Akenine - Möller , Eric Haines, Naty Hoffman. Wellesley : AK Peters, 2008
1-AIN-303 Game Engines
Preliminary assessment: the project implementation
The indicative evaluation scale : A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
Use of C ++ in the Ureal Engine environment . Linking Blueprint code with C ++ code . Comparison of game environments Unity, Unreal and others. Organization of a team of game developers. Ways of financing game creation. Types of games. Basic means of development of these types of games. Implementation of game mechanics such as dialogues, inventories, skill trees, crafting, game tasks, interactive tutorials. Using design patterns in games . Advanced player interaction with the game, the use of touch input devices, gamepads, game steering wheels, joysticks, devices for tracking the player's head position and gaze direction. Solving specific problems when developing your own game project . Using external means for creating shaders, 3d models and animation. Tuning, profiling games. Automated game testing. Customization and export of games for PC, mobile and TV-connected platforms.
https://db.dai.fmph.uniba.sk/teaching/ge2/
The scale of assessment (preliminary/final): 100/0
students will gain advanced experience working with game environments and among game developers of various professions (graphics, game designers).
https://dai.fmph.uniba.sk/w/Course:Embedded_Linux/en
Neil Gershenfeld, Fab: The Coming Revolution on Your Desktop-From Personal Computers to Personal Fabrication. ReadHowYouWant.com. 2011. 381 s. ISBN 978-1- 4596-1057- 6.
Student will be able to use the digital technologies in the subject of study, he or she will document it by realizing a small project. Student must present his or her project that was implemented with the use of digital technologies. During the semester, student can get points for solving tasks. Approximate evaluation scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
the meetings take place in Fablab (5 min. walk from faculty building)
1. Elementary tools and safety in Fablab.
2. CAD 2D, 2.5D, 3D.
3. Computer controlled cutting.
4. Electronic construction.
5. 3D scanning and printing.
6. Computer aided manufacturing (CNC).
http://dai.fmph.uniba.sk/courses/dtv/
100/0
Student will acquire basic information and knowledge about digital technologies of production, how to prepare a computer code and transform it into real objects. Students will be able to transform their ideas to a prototype and document their ideas with practical experience with production tools. They will know about various formats of codes, and the process of their transformation to physical objects. Students will learn how to use the tools of digital production Fab Lab for rapid prototyping, how to use CAD software modelling, vinyl cutter, laster cutter, 3D printer, 3D scanner, CNC machine, electronic construction of circuit boards.
Course based on lectures, discussions, writing short essays, making some tasks, preparing and presenting final short presentations.
Susskind, Jamie, The Digital Republic, On Freedom and Democracy in the 21st Century, Bloomsbury Publishing, 2022, Bergstrom, Carl T., West, Jevin D., Calling Bullshit, The Art of Skepticism in a Data-Driven, World, Random House, New York, 2020,
Graham, Mark, Dutton, William H., Society & The Internet, How Networks of information and Communication are Changing Our Lifes, Oxford University Press, 2019
Singer, P.W., Brooking, Emerson T., LikeWar, The Weaponization of Social Media, Eamon Dolan/Houghton Mifflin Harcourt, 2018
Stephens-Davidowitz, Seth, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are, Dey Street Books, 2017
O'Neil, Cathy, Weapons of math destruction: How big data increases inequality and threatens democracy, Crown Publishing Group, Penguin Random House, UK, 2016
Pariser, Eli, The Filter Bubble, What the Internet is Hiding from You, Viking, Penguin Books, London, 2011
Barabási, Albert-László, V pavučine sítí, Paseka, Praha, 2005
Blackmoreová, Susan, The Meme Machine, Oxford University Press, 1999
During the semester: Active seminar participation, short essays and tasks
At the end: Final presentation
Evaluation: Continuous evaluation: short essays and tasks (50%), final presentation (50%)
Final grade: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
Brief history of information, Internet society and their changes. Grow and decline of collective intelligence, social bubbles. Scale free network of internet, memetics. Artificial intelligence and internet. Complicated relations of states and internet. Social control, elections. Copyright, laws, reality, time. Subjectivity od the truth, fake news. AI and art.
http://dai.fmph.uniba.sk/courses/IAIS
50/50
Students will be able to think and discuss deep changes, that brought first internet and later artificial intelligence into global human society. There will be able to discussed societal, psychological, social, economic and philosophical impacts on today society.
Harman, R., Filová, L.: Základy pravdepodobnosti pre študentov informatiky a dátovej vedy, FMFI UK, 2022.
Janková, K., Pázman, A.: Pravdepodobnosť a štatistika, UK Bratislava, 2011.
Teaching period: written exam
Examination period: written exam
Evaluation (in %): A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
Random events and probability, Independence of events, Conditional probability, General random variables, Distribution function, Discrete random variables and their basic types, Continuous random variables and their basic types, Numerical characteristics of random variables (for instance the mean value and the variance), Random vectors, Correlation and dependence of random variables, Law of large numbers, Central limit theorem, Introduction to the random variates generation, Introduction to the probabilistic information theory, Statistical inference for the simple random sample, Statistical inference for the regression line, Outlier detection
30/70
After finishing the course the students understand the mathematical foundations of probability and statistics. They can solve the most common types of probabilistic problems and execute the simplest statistical analyses.
G. Dorren: Babel. Around the World in 20 Languages. Profile Books, 2019
S. Pinker: Language Instinct. Brilliance Audio, 2014
S. Pinker: The Stuff of Thought. Language as a Window Into Human Nature. Penguin Books 2008
S. Pinker: Words and Rules. The lngredients of Language. Basic Books 2015
Continuous assessment: presentations, bonus assignments
Indicative assessment scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
The course focuses on the most important aspects of natural language research (the most complex cognitive function): basic properties of language (arbitrariness, generative productivity, dynamism, structuring at many levels), mechanisms of speech production and perception, language acquisition, innate and acquired factors of language development.
http://dai.fmph.uniba.sk/~rybar/
100/0
Acquisition of the most important current theories and methods of studying natural language and cognitive processes.
S. Blackmore, E.T. Troscianko: Consciousnes. An Introduction. Routledge, third edition 2018.
M.S. Gazzaniga, R.B. Ivry, G.R. Mangun: Cognitive Neuroscience. The Biology of the Mind. W.W. Norton & company, fifth edition 2019.
J. Friedenberg, G. Silverman: Cognitive Science. An Introduction to the Study of Mind. Sage 2012.
T. Metzinger: The Ego Tunnel. The Science of the Mind and the Myth of the self. Basic Books 2009.
Continuous assessment: presence (30%), presentation (40%), bonus assignments (30%)
Indicative assessment scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
The subject of the course is the human mind and brain from the perspective of neuroscience, computer science, psychology, and philosophy. It is mainly focused on the interdisciplinary study of consciousness: its neural correlates, neuroscience and behavioral research methods, and major theories.
100/0
The course objectives are to make the students familiar with major theories and methods of mind/brain research.
CogLab / Greg Francis, Ian Neath, Daniel R. VanHorn. Thomson/Wadsworth, 2014
Interim evaluation: presentations
Indicative assessment scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
Demonstration of 40 standard experiments in the fields of neurocognition, mechanisms of perception, attention systems, memory processes, speech production and perception, knowledge representation (concepts and mental ideas), judgment and decision-making processes.
http://dai.fmph.uniba.sk/~rybar/
100/0
Acquisition of methods for studying various cognitive phenomena (data collection and analysis) using an online cognitive laboratory.
First-Order Logic / Raymond M. Smullyan. Springer, 1968.
Logika: Neúplnost, složitost a nutnost / Vítězslav Švejdar. Praha : Academia, 2002.
Language, Proof and Logic. / Dave Barker-Plummer, Jon Barwise and John Etchemendy. Stanford, CA : CSLI Publications, 2011.
Continuous assessment: Tests, assessed homework.
Final exam admission condition: At least 60 % of the continuous assessment.
Final exam: Written exam consisting of two parts (problem solving and theory). At least 60 % of each part.
Continuous assessment / final exam proportion: 60/40
Scale: A ≥ 92 %, B ≥ 84 %, C ≥ 76 %, D ≥ 68 %, E ≥ 60 %.
Slovak, English
- Propositional logic
- First-order logic with equality
- Formalization and modeling in logic
- Tarski’s semantics and an introduction to classical model theory
- Introduction to proof theory, logical calculus (e.g., tableaux), soundness and completeness
- Inference problems and their algorithmization
- Overview of logic and inference applications, e.g., in databases, knowledge representations, artificial intelligence
https://dai.fmph.uniba.sk/w/Course:Logic_for_CS/en
60/40
The course introduces students to mathematical and computational logic. In particular, they learn to model and solve problems using the methods of logic, construct formal proofs and understand their relationship to informal ones. Students also acquire the fundamentals of theoretical concepts (model, semantics, soundness, completeness), enabling them to study more advanced logical methods with applications in computer science.
Introduction to Algorithms, 3rd Edition/ T. H. Cormen, C. E. Leiserson, R. L. Rivest, C. Stein. MIT Press (2009)
Modern graph theory / Béla Bollobás. New York : Springer, 1998
Graph theory / Reinhard Diestel. Berlin : Springer, 2005
Lineárne programovanie / Ján Plesník, Jitka Dupačová, Milan Vlach.
Bratislava : Alfa, 1990
Vlastné elektronické texty vyučujúceho predmetu zverejňované prostredníctvom web stránky predmetu.
Linear programming/ V. Chvátal
Zbierka príkladov z grafov a optimalizácie/T.Jajcayová, P. Náther - elektronic text
1-AIN-160/15 Discrete Mathematics 2
Continuous assessment: graded homework, quizzes, activity at recitations, tests. The student must obtain at least 55% of points from the semester in order to take the final exam.
Examination: an examination consisting of a written and an oral part. The student must obtain at least 50% of the points from the written part. Approximate scale: A 90%, B 80%, C 70%, D 60%, E 55%
Slovak, English
Basic concepts in graph theory, examples, properties, representation of graphs in a computer, Isomorphism of graphs
Significant graph classes, trees
Important graph algorithms for searching graphs, finding the optimal spanning tree of a graph, finding the shortest path in a graph, the problem of a business traveler, analysis of these algorithms
Matching and flow in networks; Hall's theorem
Practical implementation of some algorithms
50/50
After completing the course, students will master the basic concepts of graph theory, several important graph algorithms and optimization algorithms and will be able to do a complex analysis of these algorithms.
Bannister, F., Connolly, R. (2014). ICT, public values and transformative government: A framework and programme for research. Government Information Quarterly, 31(1), 119–128.
Janssen, M., Charalabidis, Y., Zuiderwijk, A. (2012). Benefits, adoption barriers and myths of open data and open government. Information Systems Management, 29(4), 258–268.
Regulacká, M. (2010). Vývoj IS vo verejnej správe – integračné architektúry, globálna architektúra ISVS. Bratislava: BRM.
Zákon č. 211/2000 Z. z. o slobodnom prístupe k informáciám (tzv. infozákon)
Zákon č. 305/2013 Z. z. o elektronickej podobe výkonu pôsobnosti orgánov verejnej moci (zákon o e-Governmente)
Zákon č. 95/2019 Z. z. o informačných technológiách vo verejnej správe
Zákon č. 177/2018 Z. z. o údajoch (tzv. zákon proti byrokracii)
Zákon č. 69/2018 Z. z. o kybernetickej bezpečnosti
N/A
(50 %) Active participation in seminars / (50 %) Analysis of existing ISVS in the form of presentations
slovak, english (because of some pieces of recommended literature
1. Data and Data Authorities in Public Administration
2. Information Systems in Public Administration: Definition and Specifics
3. Architecture and Modularity of Public Sector Information Systems
4. Information as a Public Output: Clarity, Dignity, Accessibility
5. Data Integration and Sharing
6. Infrastructure and Cloud Strategies
7. IS Security and Critical Infrastructure
8. Digital Sovereignty and the Global IT Environment
9. Open Technologies and Public Sector Innovation
10. People, Processes, and Decision-Making in ISVS
11. Stakeholders and Impact: ISVS as Social Infrastructure
12. The Future of ISVS and Digital Transformation
soon
50/50
Upon completing the course, the student will be able to understand the architecture, operation, and societal significance of information systems in public administration (ISVS). They will gain an overview of the data, technical, and legal aspects of these systems, learn to identify key stakeholders, and assess the impact of ISVS on citizens and state institutions. The student will be able to analyze ISVS in terms of data quality, security, digital sovereignty, user accessibility, and long-term sustainability.
Shannon Vallor (2016): Technology and the Virtues.
Batya Friedman, Peter H. Kahn Jr., Alan Borning (2006): Value Sensitive Design and Information Systems.
Selbst et al. (2019): Fairness and Abstraction in Sociotechnical Systems.
Binns, R. (2018): Fairness in Machine Learning: Lessons from Political Philosophy. Communications of the ACM.
none
(50 %) active participation in seminars / (50 %) final presentation of the selected topic
Slovak / English (recommended literature)
1. The role of ethics in IT and AI
2. Values and technology
3. Transparency and accountability of algorithms
4. Bias and fairness in AI systems
5. Privacy and digital identity
6. Control, surveillance and autonomy
7. Societal impacts of informatization and artificial intelligence
8. Ethics of interaction: chatbots, assistants and social AI
9. Sustainability of digital systems
10. Interoperability, standards and digital inclusion
11. Research ethics and academic integrity with a focus on the use of AI tools
12. Democracy, power and regulation in the age of AI
soon
50/50
After completing the course, students will be able to:
- Identify basic ethical issues related to the development and use of IT and AI technologies.
- Apply ethical frameworks to analyze specific cases in computer science.
- Understand the relationship between technology, values, and society.
- Consider the impacts of IT and AI decisions on user privacy, responsibility for their data, and the transparency of the processes of those processing them.
- Recognize dilemmas from the perspective of the different interests of different stakeholders.
- Approach critically the design, use, and regulation of digital systems.
Petrovic P. (2020) Spike up Prime Interest in Physics, Robotics in Education 2020.
Alan G. Smith: Introduction to Arduino. A piece of cake! IntroToArduino.com, 2011.
During semester: active participation at seminars and/or events
Grading: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak or English
This course can be taken in either of the two semesters, but counts only one time. We welcome students of all study years from the whole university.
- hands-on workshops with LEGO Spike Prime
- robotic sets as educational tool
- sensors and actuators
- simple navigation, simulation, learning
- analysis of robot behavior
- practical building and programming of robot models
- elementary electronics for Arduino robots
- praktical workshops with Arduino
- praktical workshops with other robotic platforms – Jupiter, Nico, Mikeš
- robotic contests
https://kempelen.dai.fmph.uniba.sk/rg/
100/0
The course has an irregular schedule and it is typically organized as a set of practical hands-on workshops with the duration of 3-5 hours, where the students learn about various robotic plattforms in a playful way, learn about the basics of control and programming of robots, processing signals from sensors at various levels of abstraction. Student will be able to build, program and run his or her own robotic product and use 3D printing for that end. He or she will have verified the knowledge in practical situations.
Petrovic P. (2020) Spike up Prime Interest in Physics, Robotics in Education 2020.
Alan G. Smith: Introduction to Arduino. A piece of cake! IntroToArduino.com, 2011.
During semester: active participation at seminars and/or events
Grading: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak or English
This course can be taken in either of the two semesters, but counts only one time. We welcome students of all study years from the whole university.
- hands-on workshops with LEGO Spike Prime
- robotic sets as educational tool
- sensors and actuators
- simple navigation, simulation, learning
- analysis of robot behavior
- practical building and programming of robot models
- elementary electronics for Arduino robots
- praktical workshops with Arduino
- praktical workshops with other robotic platforms – Jupiter, Nico, Mikeš
- robotic contests
https://kempelen.dai.fmph.uniba.sk/rg/
100/0
The course has an irregular schedule and it is typically organized as a set of practical hands-on workshops with the duration of 3-5 hours, where the students learn about various robotic plattforms in a playful way, learn about the basics of control and programming of robots, processing signals from sensors at various levels of abstraction. Student will be able to build, program and run his or her own robotic product and use 3D printing for that end. He or she will have verified the knowledge in practical situations.
2 hrs. lessons, 2 hrs. excerses
Programming language pragmatics / Michael L. Scott. Amsterdam ; Boston : Elsevier/Morgan Kaufmann Pub.,, 2009
Programming in Haskell / Graham Hutton. Cambridge : Cambridge University Press, 2008
Pearls of functional algorithm design / Richard Bird. Cambridge : Cambridge University Press, 2010
The art of Prolog : Advanced programming techniques / Leon Sterling, Ehud Shapiro ; with a foreword by David H. D. Warren. Cambridge, Mass. : MIT Press, 1994
Haskell the craft of functional programming / Simon Thompson. Harlow : Pearson, 1999
Real world Haskell / Bryan O'Sullivan, John Goerzen, Don Stewart. Sebastopol : O'Reilly Media, Inc., 2009
Grades: A 90%, B 80%, C 70%, D 60%, E 50%.
Slovak
- Brief history of programming languages
- Introduction to programming paradigms
- Concurrent programming in GO
- Functional programming in Haskell
- Logic programming in Prolog
- Constraint logic programing CLP
http://dai.fmph.uniba.sk/courses/PARA/
regular exercises, midterm 70/30 midterm, exam, homeworks (12x3), midterm (25), exam (30)
Introduction to three programming paradigms: Concurrent programming, Functional Programming, Logic Programming
[1] Specification and Verification of Programs / Ján Komara. Online.
[2] Recursive Functions / Ján Komara. Online.
[3] Úvod do deklaratívneho programovania / Ján Kľuka. Online.
Preliminary assessment: two tests 60%.
Final exam: test 40%.
Scale: A 90%, B 80%, C 70%, D 60%, E 50%.
slovak, english
1. Declarative Programming. Primitive recursion. Recursion with measure. Iterative recursion.
Recursion on notation. Pairing function and arithmetization. Structural recursion.
2. Specification-verification System. Peano Arithmetic. Mathematical induction. Extensions of arithmetic. Derived induction principles: complete induction, measure induction, structural induction.
3. Data Structures. Strings. Lists. Basic operations over lists. Sorting of lists. Applications of lists. Binary trees. Basic operations over binary trees. Binary search trees. Applications of trees. Symbolic expressions. Interpreter of programming language. Universal function.
https://dai.fmph.uniba.sk/w/Course:Specification_and_Verification_of_Programs/en
60/40
The course develops students' ability to demonstrate the correctness of programs, formally specify the required properties and proving them using various methods, particularly structural induction. Graduates gain knowledge of a particular formalization of recursive programs, proving their properties within a single logical theory Peano arithmetic. They also get hands-on experience with the specification and verification of a large number of programs.
2hrs. lessons, 2hrs. exercises, homworks and excercises, no final exam
Neil Smyth: Android Studio 4.0 Development Essentials - Kotlin Edition, 2020
Bruce Eckel & Svetlana Isakova: Atomic Kotlin, 2021
no
Grades: A 90%, B 80%, C 70%, D 60%, E 50%.
Slovak
- MIT App Inventor
- Activity, views, intents, fragments
- MVVM design pattern and JetPack
- Persistency
- Maps and location, gsm, wifi, gps
- Retrofit – REST Client
- Room – sql client
- Firebase
- sensor and sensor data
http://dai.fmph.uniba.sk/courses/VMA/
100% (30% exercises+ 70% homeworks) / 0% final exam
Design of mobile applications using Kotlin language in Android Studio
talk, 1h/week, online synchronous
training, 2h/week, online synchronous
Priebežné hodnotenie: practical computer exercises
Skúška: practical computer exam
Orientačná stupnica hodnotenia: A 92%, B 84%, C 76%, D 68%, E 60%
The tasks are solved in a specialized software tool, which also enables effective distance synchronous education.
- History and philosophy of GNU / Linux. Text console. File system navigation. (pwd, ls, cd, less, cat, man, w, exit, ssh, mosh, ...)
- Directories and files (mkdir, rmdir, rm, cp, mv, ...)
- Users, groups, redirects and search. Regular expressions. (id, su, passwd, grep, ...)
- File and directory attributes (chown, chgrp, chmod, ...)
- Text editor vim
- File content sorting and selection commands (sort, head, tail, nl, uniq, tac, shuf)
- File system searching (find)
- Processes (ps, top, kill)
- sed - stream editor
- Processing by awk
- Basics of bash scripts
Graduate:
- knows the principle and function of the command line
- knows the principles of operation of the GNU/Linux operating system
- knows and understands the basic components of the GNU/Linux OS such as process, file system, user administration, access rights, ...
- recognizes and applies a set of commands according to scenarios
- creates a "oneline compound command" or a simple script to solve task assignment
talk, 1h/week, online synchronous
training, 2h/week, online synchronous
1-AIN-500 Linux for Users
Priebežné hodnotenie: practical computer exercises
Skúška: practical computer exam
Orientačná stupnica hodnotenia: A 92%, B 84%, C 76%, D 68%, E 60%
The tasks are solved in a specialized software tool, which also enables effective distance synchronous education.
- Virtual machine and package system
- File system
- Logical Volume Manager
- Redundant Array of Inexpensive Disks (RAID)
- File and directory rights system
- Processes
- Connecting computers and the Internet
- TCP and UDP transport layer network model
- Encryption, keys and ssh
- System initialization
- Apache and MariaDB
- Compiling and GNU Make
Graduate:
- knows the principles of operation of the GNU/Linux operating system
- knows and understands the basic principles of GNU/Linux OS components such as process, file system, user management, access rights, ...
- recognizes and applies a set of commands according to administration-user scenarios
- knows and understands the basics of the network model
- applies encryption principles in GNU/Linux OS
- creates a "oneline compound command" or script to solve an administrative-user task
- creates a simple Makefile
Introduce the basic multimedia trends to the students and review the current sotware products for graphics, audio, and animation manipulation.
Holsinger, E.: Jak pracují multimedia, Brno, UNIS 1995
Kireš, M., Šnajder, Ľ., Kalakay, R.: Multimédiá pre učiteľa, Bratislava, ÚIPŠ 2002
Ružický, E.: Úvod do počítačovej grafiky, Bratislava, UK 1991
Salanci, Ľ.: Práca s grafikou. Bratislava, SPN 2000
www.w3schools.com/media
www.scantips.com
none
active attendance, presentations, homework, final project
Continuing evaluation: homework assignments (40%)) Exam: written with oral consultation (33%) Project: (27%) To successfully complete the course, student has to obtain at least 75% of points on the homework assignement and to obtain at least 60% of points on the final exam. Final grade: A 90%, B 86%, C 80%, D 70%, E 60%
Multimedia, basic terms, examples, multimedia production, computer graphics - basic terms, multimedia formats, software for image manipulation, animation - introduction, animation formats, software for animation production, audio - basic terms, audio formats, audio editing software, digital video - basic terms, DV formats, DV production software, authoring software.
http://www.sccg.sk/~lucan/
40/60
Geometric Modeling with Splines / R. F. Riesenfeld, E. Cohen, G. Elber: A K Peters/CRC Press; 1 ed. 2001
Fundamentals of CAGD / J. Hoschek, D. Lasser: A K Peters/CRC Press; 1 ed., 1996
Geometric Concepts for Geometric Design / W. Boehm, H. Prautzsch. Publ. by A K PETERS, 1993
Bézier and B-Spline Techniques / H. Prautzsch, W. Boehm, M. Paluszny. Springer-Verlag Berlin Heidelberg, 2002
Curves and Surfaces for CAGD, Fifth Edition: A Practical Guide / Gerald Farin. Morgan-Kaufmann, 2002
For the semester, the student can get 50% for exercises and 50% for the final exam. The student must obtain at least half of the points for the exercises in order to pass to the final exam. During the semester, the student can obtain 37.50% for programming assignments and 12.5% for written homework assignments, there is no minimal requirement for homework assignments.
The final exam consists of a written (40%) and an oral part (10%). If the student does not get half of the points for the written part of the final exam, he / she is not admitted to the oral part and the grade is Fx. Upon successful completion of the written part of the exam, participation in the oral part of the final exam is voluntary.
Grading: A (100-91), B (90-81), C (80-71), D (70-61), E (60-51), Fx (50-0).
english
1. Representation of cubic segments in Hermite and Bernstein basis, computational algorithms.
2. Geometric and parametric continuities for curve segments and creating:
a) interpolating splines (Hermite spline, cardinal spline, Catmull-Rom spline)
b) approximating splines (Bézier spline, Beta spline, B-spline).
Rational curves (Bézier, NURBS) and the weights as shape parameters.
3. Representation of surfaces defined by
a) geometric transformation (surfaces of revolution)
b) boundary curves (ruled surfaces, Coons surfaces)
c) control nets (tensor-product surfaces, Bézier, B-spline, NURBS).
https://flurry.dg.fmph.uniba.sk/webog/sk/kudlickova-vyucba/311-reprezentacie-geometrickych-objektov
Preliminary assessment 50% (37.50% programming assignments + 12.5% written homework assignments) / 50% final exam (40% written part + 10% oral part).
The course graduate gains basic knowledge of the cubic curve segments, spline curves, patches and spline surfaces. Spline curves and surfaces are studied with parametric or geometric continuities, the shape parameters are applied for modeling. The computational algorithms of the curve segments are presented.
Create an opportunity for learning and training different forms of creative writing focused to scientific, journalistic, internet and artistic forms of writing and publishing.
Lester, James D., Lester, James D. Jr., Principles of Writing Research Papers, Penguin Academics, 2003
Dočekalová, Markéta, Creative writing for all (in czech), Grada Publishing, 2006
Seley, Hans, Secrets fo science (in czech), Orbis Praha, 1964
King, Stephen, About writing, Memoirs about writing (in czech), BETA- Dobrovský, Praha, 2002
Bradbury, Ray, ZEN and Art of Writing, Essays about creativity (in czech), PRAGMA, Praha, 1998
active seminar participation, presentations, seminar essays
Continuing evaluation: homework assignments (100%)
Final grade: A 90%, B 80%, C 70%, D 60%, E 50%
Principles of creative writing
Techniques of writing
Writing Research Papers
Journalistic genres
Specifics of internet writing
Art of editing
Creativity, originality and rules
https://dai.fmph.uniba.sk/~gyarfas
final essay
Type of educational activities: 2/2 (lecture/exercise) Number of credits: 6 Recommended semester: applied informatics 3/S Educational level: I Prerequisites: none Course requirements: Examination: examination is in written and oral form, two programmning tasks and one theoretical question Continuous assessment: 0 Approximate evaluation scale: A 90%, B 80%, C 70%, D 60%, E 50% Scale of assessment (preliminary/final): 0/100
Recommended literature: Giarratano, Joseph C., and Gary D. Riley. Expert systems: principles and programming. Brooks/Cole Publishing Co., 2005. Tadeusiewicz, Ryszard. "Introduction to intelligent systems." Intelligent systems. CRC Press, 2018. Smith, Suzanne, and Abraham Kandel. Verification and validation of rule-based expert systems. CRC Press, 2018. Krishnamoorthy, C. S., and S. Rajeev. Artificial Intelligence and Expert Systems for Artificial Intelligence Engineers. CRC press, 2018.
None
Examination: examination is in written and oral form, two programmning tasks and one theoretical question Continuous assessment: 0 Approximate evaluation scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
Class syllabus: - The principles and architecture of expert/knowledge systems - Production systems - Handling with facts and rules - Inference in production systems - Database examples - A simulation of recursion - A simulation of backward chaining - Memorising - Sorts in production systems - Solving problems by constraint satisfaction - Examples from the field of artificial intelligence - Stratification - Controlling inference in production systems - Introduction to fuzzy mathematics and inference
http://dai.fmph.uniba.sk/~guller/clips/
0/100
Learning outcomes: To provide students knowledge in the field of expert/knowledge systems and rule-based programing.
Introduce and open a discussion about contemporary internet with concentration on psychological, sociological, economical and philosophical consequences of internet in society.
1. Stephens-Davidowitz, Seth, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are, Dey Street Books, 2017
2. Mayer-Schonberger, Viktor, Cukier, Kenneth, Big Data, A Revolution That Will Transform How We Live, Work and Think, John Murray (Publishers), London, 2013
3. O'Neil, Cathy, Weapons of math destruction: How big data increases inequality and threatens democracy, Crown Publishing Group, Penguin Random House, UK, 2016
4. Pariser, Eli, The Filter Bubble, What the Internet is Hiding from You, Viking, Penguin Books, London, 2011
5. Barabási, Albert-László, V pavučine sítí, Paseka, Praha, 2005
6. Blackmoreová, Susan, Teorie memů, Kultura a její evoluce, Portál, Praha, 1999
7. Don Tapscott, Anthony D. Williams, WIKINOMICS, How Mass Collaboration Changed Everything, Portfolio, Penguin Books, New York, 2006
active seminar participation, presentations, seminar essays
Continuing evaluation: homework assignments (40%)
Final presentation: (35%), final essey (25%)
To successfully complete the course, student has to obtain at least 80% of points on homeworks.
Final grade: A 90%, B 80%, C 70%, D 60%, E 50%
Brief history of information
Internet and physical space, virtualization
Internet and authors
Small worlds and internet
Power of searching machines
Wikinomics and Wisdom of Crowd
Internet and social networks
https://dai.fmph.uniba.sk/~gyarfas
final essay
depending on the topic of the bachelor thesis, and recommendation of the thesis advisor
information sources on the Internet
During semester: priebežné referáty
Final grade depends on presentation of the final thesis results
Evaluation scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
- student in cooperation with the advisor of bachelor thesis and with the teacher of the seminar formulates goals and stages of his or her work,
- principles of research and scientific work, evaluation and presentation,
- principles of producing scientific publications,
- regular presentation of interim results of the bachelor thesis in a seminar study group
http://dai.fmph.uniba.sk/w/Bachelor_seminar/en
100/0
Students will get acquainted with research work and with writing scientific publications. They will discuss about project approach to problem solving, and they will be introduced to the basics of acquiring and presenting research results.
1.
M. Základné kombinatorické konfigurácie. Binomické koeficienty. Princíp zapojenia a vypojenia.
P. Prefixové stromy. Kompresia textov a Huffmanovo kódovanie. Porovnanie implementácií v rôznych jazykoch.
A. Správa pamäti: jednoduchá správa pamäti, virtuálna pamäť, stránkovanie, segmentovanie. Algoritmy výmeny stránok.
2.
M. Typy dôkazov. Priamy a nepriamy dôkaz. Dôkaz sporom. (Ilustrovat na zakladnej teorii cisel. Delitelnost, prvociselnost, atd. ) Matematická indukcia.
P. Rozdeľuj a panuj triediace algoritmy. Využitie rekurzie, možné problémy s rekurziou v rôznych jazykoch. Vlastnosti algoritmu merge-sort zdola nahor.
A. Bezpečnosť sietí – bezpečnostné problémy a mechanizmy na rôznych vrstvách – VLAN.
3.
M. Diskrétna pravdepodobnosť. Experiment a náhodný jav. Bernoulliho schéma. Podmienená pravdepodobnosť. Bayesova veta.
P. Efektívne realizácie dátových štruktúr Set a Multiset. Porovnanie implementácií v rôznych jazykoch.
A. Navrhovanie databáz: relačný model dát, entitno relačný model dát, kardinalita vzťahov, roly entít, n-árne vzťahy, transformovanie entitno relačneho modelu na relačný, reprezentovanie podmnožín, kontextualizácia dát, reifikovanie, meta modelovanie, typy a ich explicitné uchovávanie.
4.
M. Relácie na množine. Relácia ekvivalencie a rozklady množín. Čiastočne usporiadané množiny.
P. Ošetrovanie chýb, assert, výnimky, testy, rozdiely v rôznych jazykoch.
A. Modelovanie a návrh: entitno-relačný diagram, diagram dátových tokov, UML diagramy: use-case, stavový, activity, sekvenčný, komponentný, triedny, deployment. Študent vie nakresliť príklad každého diagramu a vysvetliť ho.
5.
M. Injektívne, surjektívne a bijektívne zobrazenia. Spočítateľné a nespočítateľné množiny. Cantorova diagonalizačná metóda.
P. Efektívne reprezentácie dátovej štruktúry graf. Využitie problému Union-find pri hľadaní kostry grafu.
A. Sieťová architektúra, vrstvové modely, služby – vrstva, rozhranie, protokol, fyzický a logický tok údajov. Kľúčové problémy pri návrhu sietí.
6.
M. Limita a spojitosť funkcii jednej reálnej premennej.
P. Efektívne realizácie dátovej štruktúry asociatívneho poľa. Riešenie kolízií. Implementácie asociatívneho poľa v rôznych jazykoch.
A. Správa zariadení a správa súborov: radič, spôsoby prenosu údajov medzi radičom a pamäťou. software správy zariadení. Pojem súbor a adresár, druhy súborov, spôsoby kódovania znakov v textových súboroch.
7.
M. Derivácia funkcii jednej reálnej premennej a jej využitie pri vyšetrovaní priebehu funkcii.
P. Efektívna realizácia operácií prioritného frontu PriorityQueue. Porovnanie implementácií v rôznych jazykoch.
A. Operačný systém pri pohľade zvonku (služby, ich význam z pohľadu vyšších vrstiev vrstvového modelu počítača) a zvnútra (správa procesov, správa pamäti, správa zariadení a správa súborov). Hlavné úlohy jednotlivých správ.
8.
M. Primitívna funkcia a metódy jej výpočtu.
P. Algoritmy prechádzania stromových dátových štruktúr. Možnosti realizácie pomocou lazy algoritmov v rôznych jazykoch.
A. Organizácia počítačových systémov - vrstvový model počítača, súvislosti medzi vrstvami. Procesor (mikroprocesor, ALU, realizácia inštrukcií), vnútorná a vonkajšia pamäť, prídavné zariadenia, zbernica z hľadiska hardvéru aj softvéru.
9.
M. Logika prvého rádu: Syntax (symboly, termy, formuly) a sémantika (štruktúra, hodnota termu, splnenie formuly a teórie). Vyplývanie, nezávislosť, nesplniteľnosť a ich vzťah.
P. Stromové dátové štruktúry. Rozdiely v implementácii pomocou dynamických dátových štruktúr v rôznych jazykoch.
A. Počítačové systémy: Základné logické funkcie a ich realizácia. Boolovské funkcie. Niektoré kombinačné obvody (sčítačka, multiplexor a demultiplexor).
10.
M. Deterministický konečný automat (definícia, konfigurácia, krok výpočtu, výpočet, jazyk, ktorý akceptuje).
P. Spôsoby prehľadávania stavového priestoru, do hĺbky a do šírky, Dijkstrov algoritmus. Porovnanie implementácií v rôznych jazykoch.
A. Klientské vs. serverové webové aplikácie, princíp fungovania, vysvetlenie sieťovej komunikácie a jej spracovania.
11:
M. Nedeterministický konečný automat (definícia, konfigurácia, krok výpočtu, výpočet, jazyk, ktorý akceptuje).
P. Asymptotická výpočtová zložitosť, notácia veľké O, amortizovaná zložitosť.
A. Synchronizácia procesov a vlákien – zdieľanie údajov, časová závislosť, vzájomné vylúčenie, kritická sekcia, deadlock, busy waiting.
12.
M. Turingov stroj, porovnanie s konečným automatom. Existuje jazyk, ktorý sa nedá rozpoznať žiadnym TS?
P. Lineárne dátové štruktúry (zoznam, front, zásobník), efektívna implementácia pomocou dynamických dátových štruktúr. Rozdiely v implementácii v rôznych jazykoch.
A. Webové aplikácie na strane servera, primárne jazyk PHP (alt. Python, Ruby,...), prepojenie PHP (alt. Python, Ruby,...) s databázou, spracovanie a ošetrenie dát od používateľa, prenos dát medzi stránkami.
13.
M. Tablový alebo rezolvenčný kalkul: Pravidlá kalkulu pre logiku prvého rádu. Vyslovte vetu o korektnosti a úplnosti, vysvetlite jej vzťah k vyplývaniu.
P. Úloha abstraktného dátového typu, rozdiely v implementácii v rôznych jazykoch.
A. Web: základná štruktúra dokumentu, metadáta, sekcie a nadpisy, zgrupovanie a elementy s text-level sémantikou, formuláre. Vlastnosti CSS, ich hodnoty, selektory, box model, statické, relatívne, absolútne a fixné polohovanie, media queries.
Exam: State exam
Indicative rating scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
The exam consists of material taught in compulsory subjects in the field of: discrete mathematics, mathematical analysis, algebra and logic, programming, databases, web applications, computer principles - (hardware, system programming, operating systems, computer networks) and the creation of information systems.
A more detailed and updated content of the questions will be published in advance in each academic year through the academic information system. As a rule, specific issues in state studies will integrate several areas related to the topic of a specific bachelor's thesis.
https://dai.fmph.uniba.sk/w/State_examinations_for_Bachelor_program_in_Applied_Informatics/en
0/100
https://dai.fmph.uniba.sk/w/State_examinations_for_Bachelor_program_in_Applied_Informatics/en
Computer Networks / Andrew S. Tanenbaum, David J. Wetherall. Boston : Pearson education, 2011
Computer Networks / Andrew S. Tanenbaum. Upper Saddle River : Prentice-Hall, 2003
Data and computer communications / William Stallings. Upper Saddle River : Prentice-Hall, 2004
During semester: Exercises - practical assignments (50%), mid-term test (50%)
Final exam: written test (at least 50% required) and oral final exam (may be waived)
Approximate grading scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
Basic network terminology, layer models, OSI, TCP/IP
Physical layer - cables, wireless transmission
Data link layer - Ethernet, WiFi.
Network layer – IP, routing, ICMP, ARP.
Transport layer – UDP, TCP, NAT.
Application layer – DNS, DHCP, Web, Mail, FTP, ...
IPv6
Security – firewall, VPN, SSL/TLS, security at the application layer (Web, Mail).
40/60
Students will be familiar with basic terminology of computer networks and principles of their operation. They will have practical experience with usage and configuration of technologies commonly used on local networks and on the internet.
1. Cybersecurity Body of Knowledge Resources & Publications (cybok.org)
2. NIST SP 800 series NIST Special Publication 800-series General Information
NIST
3. BSI Štandardy BSI - IT-Grundschutz (bund.de)
4. SO/IEC 27001 — Information security management systems — Requirements.
5. ISO/IEC 27002 — Code of practice for information security management.
6. ISO/IEC 27005 — Information security risk management.
7. Zákon č. 69/2018 Z. z. o kybernetickej bezpečnosti a o zmene a doplnení niektorých zákonov
8. Vyhláška Národného bezpečnostného úradu č. 362/2018, ktorou sa ustanovuje obsah bezpečnostných opatrení, obsah a štruktúra bezpečnostnej dokumentácie a rozsah všeobecných bezpečnostných opatrení
9. Zákon č. 95/2019 Z. z. o informačných technológiách vo verejnej správe a o zmene a doplnení niektorých zákonov
10. Vyhláška Úradu podpredsedu vlády Slovenskej republiky pre investície a informatizáciu č. 179/2020 Z. z., ktorou sa ustanovuje spôsob kategorizácie a obsah bezpečnostných opatrení informačných technológií verejnej správy
Final exam, A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
The role of information security. The major security attributes of information (confidentiality, availability, authenticity, integrity, privacy, etc.) Basic notions of information security (system, asset, threat, vulnerability, risk). Building a new or securing an existing IT system. Security projects (description of the system and of its environment, identification of relevant threats, qualitative risk analysis, contrameasures). Risk management (incident handling, disaster recovery, business continuity planning). Management of information security. Evaluation and certification of IT system/product. Introduction to cryptology and PKI.
0/100
The course provides an overview of information security, legal requirements for data protection and systems, threats and measures to eliminate the risks that arise from them. The student knows the classification of data, the method of risk analysis, the content of a security policy, the method of developing a security project as well as the basic standards and recommended procedures in the field of information security.
Continuous assessment: homework, individual work
Examination: written, oral
Indicative assessment scale: A 92%, B 84%, C 76%, D 68%, E 60%
For the semester, the student can get 50% for exercises, 30% for homework, the final written exam has a weight of 20% and the oral exam is voluntary for 20%. The student must solve at least 30% of each homework in order to pass the final written exam. Grading: 92-100 A, 84-91 B, 76-83 C, 68-75 D, 60-67 E. Details on the subject page.
Slovak, English
The concept of geometric, quantitative and organizational model. Hierarchy in geometric models. Tools for defining objects, modifying them and storing them. Primitive (basic) objects and their most well-known characteristics. Local modifications and global operations with solids. CSG representation of objects (standard CSG primitives, regularized Boolean operations, identity transformations). Algorithm for construction of CSG - objects. Boundary representations of bodies (B - rep). Euler - Poincare formula and its meaning. Platonic bodies. Euler's operators. Boolean operations at border representations. Wall, edge and top representations of polyhedrons with non-variety surface. Solid modeling with polygonal meshes. Body modeling by sweeping methodology (extruded solids). Rendering techniques for shaded and color images. Object description-based rendering using implicit functions and CSG description. Basic principles of voxel rendering, image - oriented rendering and photo - modeling. Rendering of polygonal meshes. Rendering based on object or image redistribution techniques.
https://dai.fmph.uniba.sk/w/Course:Modelling_and_Rendering_Techniques_(Materials)/en
30/70
It acquaints students with the basic principles of geometric modeling, especially modeling of rigid teties, with the possibilities of local modifications of bodies and global operations on bodies represented by common techniques. Students will deepen their knowledge of rendering techniques.
Basic practising and improving of locomotive faculties in the particular chosen sports. Developing harmonic personality in the sense of "kalokagatia" - cultivate his/her mental and physical values.
Grades: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
Introduction to the basic history of the selected sport, with the basic principles of compensation of one-sided psychological burden of the individual's body. Development of basic motor skills with a stop to all kinds of endurance, coordination, increasing the level of joint mobility. Training of individual game activities in collective sports games. In individual sports disciplines, practice of basic techniques of individual elements.
100/0
Orientation in the history of the selected sports discipline, mastering the basic principles of compensation of mostly mental burdens of the individual. Creating a positive, lasting relationship to physical education and sports in the sense of calocagation. Mastering the demands for the development of motor abilities, skills, proper technique of performing individual movements in individual sports, individual game activities in collective sports games.
Grades: A 90%, B 80%, C 70%, D 60%, E 50%.
The condition for the award of 1 or 2 credits is the completion of a multi-day course in its full scope, or the completion of one-day courses in the scope of 4 days. Candidates can apply to the leaders of individual courses. From the presented offer of courses, you can choose the one that suits your interests, abilities and deadlines.
Slovak
KTVŠ does not rent ski equipment.
The student can sign up for the outdoor sports courses offered by the department: skiing, snowboarding and other hobby sports. The lessons in the courses are focused on the development of basic and special movement skills and, mastering the techniques needed for the sports.
Acquisition and development of basic motor skills and abilities in selected sports: skiing and snowboarding. Mastering the correct technique of performing individual movements, which are necessary for skiing and snowboarding.
Acquisition and improving of locomotive faculties in the particular sport. Development of the harmonic personality in the intention of "kalokagatia". To build up and increase resilience of the youth against different vicious and dangerous factors.
Grades: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
Completing a positive lasting relationship to physical education and sport. Development of motor skills with a focus on the development of strength, with an emphasis on dynamic strength and endurance in strength. In collective sports games, improving individual game activities, practicing basic game combinations, playing with modified rules, tasked games. In individual sports disciplines, the development of motor abilities and skills necessary for the acquisition of more complex elements of lower difficulty techniques.
100/0
Addressing a positive and lasting relationship with physical education and sport by understanding the importance of physical development and maintaining its optimal level throughout life. The use of strength and other motor skills to more rationally manage the game activities of the individual, while improving the acquisition of more complex elements of technology. In everyday life in providing basic necessities.
The objective of the subject is to provide the students with experience and knowledge of technical English and thus make them ready to use English sources of information for later study and professional career.
Anglický jazyk pre študentov FMFI UK : Kurz pre mierne pokročilých / Alena Zemanová.
Učebnica je nepublikovaná, k dispozícii v elektronickej podobe na webovej stránke KJP.
Anglický jazyk pre študentov FMFI UK : Aplikovaná matematika / Alexandra Maďarová, Ľubomíra Kožehubová.- učebnica publikovaná online
Anglický jazyk pre študentov FMFI UK : Matematika: Alexandra Maďarová, Eva Foltánová.
Učebnica je nepublikovaná, k dispozícii v elektronickej podobe na webovej stránke KJP.
Anglický jazyk pre študentov FMFI UK : Fyzika / Alena Zemanová.
Učebnica je nepublikovaná, k dispozícii v elektronickej podobe na webovej stránke KJP.
Anglický jazyk pre študentov FMFI UK : Informatika / Elena Klátiková.
Učebnica je nepublikovaná, k dispozícii v elektronickej podobe na webovej stránke KJP.
test, essay, presentation
Grades: A 93%, B 85%, C 77%, D 70%, E 65%
Course prerequisites:
https://fmph.uniba.sk/microsites/kjp/katedra-jazykovej-pripravy/poziadavky-na-udelenie-priebezneho-hodnotenia-aj1aj2aj3-ostatne-kurzy/
Slovak, English
On entering the first semester, students´ knowledge of English is tested and they are divided into groups according to the results of the placement test. In the groups of pre-intermediate and intermediate students, fundamentals of technical English are taught. Advanced students take classes of technical English for their field of study: English for mathematics, for physics, for computer science, English for management and economic and financial mathemathics.
100/0
The objective of the subject is to provide the students with experience and knowledge of technical English and thus make them ready to use English sources of information for later study and professional career.
The objective of the subject is to provide the students with experience and knowledge of technical English and thus make them ready to use English sources of information for later study and professional career.
Anglický jazyk pre študentov FMFI UK : Kurz pre mierne pokročilých / Alena Zemanová.
The textbook has not been published. It is at students' disposal in an electronic format.
test, essay, presentation
Grades: A 93%, B 85%, C 77%, D 70%, E 65%
Course prerequisites:
https://fmph.uniba.sk/microsites/kjp/katedra-jazykovej-pripravy/poziadavky-na-udelenie-priebezneho-hodnotenia-aj1aj2aj3-ostatne-kurzy/
Slovak, English
This is a continuation of the course English (1) designed for pre-intermediate students. Fundamental vocabulary is presented through selected topics in mathematics, physics and informatics. The lessons also contain revision of elementary grammar. Generally, it is a necessary preliminary to advanced programs.
100/0
The objective of the subject is to provide the students with experience and knowledge of technical English and thus make them ready to use English sources of information for later study and professional career.
Study materials are created by the teacher and available in electronic form.
Raymond Murphy: Essential Grammar in USe, Cambridge University Press, 1998
Michael McCarthy, Felicity O'Dell: English Vocabulary in Use, Cambridge University Press, 1994
tests, homework
English
Texts dealing with the most important topics for FMPI majors combining grammar revision with vocabulary needed to pass the A4 English exam.
100/0 credit - ongoing evaluation
Minimum 65 percent of the total points for the assigned work is needed to pass the course. Points can be awarded for attendance, completed homework tasks, and short tests assigned during the course.
A 100-93 %
B 92-85 %
C 84-77 %
D 76-70 %
E 69-65 %
Course prerequisites:
https://fmph.uniba.sk/microsites/kjp/katedra-jazykovej-pripravy/poziadavky-na-udelenie-priebezneho-hodnotenia-aj1aj2aj3-ostatne-kurzy/
Study materials are created by the teacher and available in electronic form. Raymond Murphy: Essential Grammar in USe, Cambridge University Press, 1998 Michael McCarthy, Felicity O'Dell: English Vocabulary in Use, Cambridge University Press, 1994
tests, homework
English
Texts dealing with the most important topics for FMPI majors combining grammar revision with vocabulary needed to pass the A4 English exam.
100/0 EN
credit - ongoing evaluation Minimum 65 percent of the total points for the assigned work is needed to pass the course. Points can be awarded for attendance, completed homework tasks, and short tests assigned during the course. A 100-93 % B 92-85 % C 84-77 % D 76-70 % E 69-65 %
Course prerequisites:
https://fmph.uniba.sk/microsites/kjp/katedra-jazykovej-pripravy/poziadavky-na-udelenie-priebezneho-hodnotenia-aj1aj2aj3-ostatne-kurzy/
To master the fundamentals of the common language and basic technical terms of particular fields of study; with pre-intermediate students emphasis on reading technical texts and presentations of technical articles, application of French Internet websites.
Capelle Guy, Menand Robert: Le Nouveau taxi 1, Hachette FLE Paris, France 2009, ISBN 978-2-01-155548 - 9
test
French language is taught at two levels: beginner and intermediate. Students opt for one of them depending on whether they wish to obtain the fundamentals of the language or wish to maintain and/or improve previous knowledge of French.
100/0
To master the fundamentals of the common language and basic technical terms of particular fields of study; with pre-intermediate students emphasis on reading technical texts and presentations of technical articles, application of French Internet websites.
Capelle Guy, Menand Robert: Le Nouveau taxi 1, Hachette FLE Paris, France 2009, ISBN 978-2-01-155548 - 9
test
The subject continues the program of French language (1) and provides courses of essential and intermediate French language.
100/0
To master the fundamentals of the common language and basic technical terms of particular fields of study (depending on the student's level of German proficiency )
Appropriate study material is supplied by teacher based on the participants’level of German proficiency.
test
German language is taught at three levels: beginner, intermediate and advanced. Students opt for one of them depending on whether they need to learn the fundamentals or maintain and/or improve their previous knowledge.
This course’s focus is to master the fundamentals of the common language and basic technical terms of particular fields of study (depending on the student's level of German proficiency )
100/0
To master the fundamentals of the common language and basic technical terms of particular fields of study (depending on the student's level of German proficiency )
To master the fundamentals of the common language and basic technical terms of particular fields of study (depending on the student's level of German proficiency )
Appropriate study material is supplied by teacher based on the participants’level of German proficiency
test
German language is taught at two levels: beginner and intermediate. Students opt for one of them depending on whether they wish to obtain the fundamentals of the language or wish to maintain and/or improve previous knowledge of German.
This course’s focus is to to master the fundamentals of the common language and basic technical terms of particular fields of study (depending on the student's level of German proficiency )
100/0
To master the fundamentals of the common language and basic technical terms of particular fields of study (depending on the student's level of German proficiency )
To master the fundamentals of general Russian. The language level is A1.
Learning the Cyrillic (Russian) alphabet, gaining basic language competence, building up skills and confidence in dealing with unfamiliar authentic and semi-authentic texts.
The textbook: : Точка Ру A1 (Ольга Долматова, Екатерина Новачац), рracovné karty Падежи 1 (Л.С. Безкоровайная, В.Е. Штыленко).
test
To master the fundamentals of general Russian. The language level is A1.
Learning the Cyrillic (Russian) alphabet, gaining basic language competence, building up skills and confidence in dealing with unfamiliar authentic and semi-authentic texts.
The subject provides a course in Russian language for beginners.
100/0
Basic communication in Russian, developing other Russian language skills - listening comprehension, reading and writing.
To master the fundamentals of general Russian.
Learning the Cyrillic (Russian) alphabet, gaining basic language competence, building up skills and confidence in dealing with unfamiliar authentic and semi-authentic texts.
Textbook: Точка Ру A1 (Ольга Долматова, Екатерина Новачац), рracovné karty Падежи 1 (Л.С. Безкоровайная, В.Е. Штыленко).
test
To master the fundamentals of general Russian.
Learning the Cyrillic (Russian) alphabet, gaining basic language competence, building up skills and confidence in dealing with unfamiliar authentic and semi-authentic texts.
The subject continues the program of Russian language (1) and provides a course of Russian for beginners.
100/0
Basic communication in Russian, developing other Russian language skills - listening comprehension, reading and writing.
Krížom- Krážom Slovenčina 1, additional material to further support the covered topics.
tests
Course prerequisites:
https://fmph.uniba.sk/microsites/kjp/katedra-jazykovej-pripravy/poziadavky-na-udelenie-priebezneho-hodnotenia-aj1aj2aj3-ostatne-kurzy/
The sylabus is targeted at the comprehension of the basics of the Slovak language for the absolute beginners (A1).
100/0
This course is aimed for foreign students to learn the fundamentals of the Slovak language with the focus on basic communication as well as all other language skills- listening comprehension,reading and writing.
Krížom- Krážom Slovenčina 1, additional material to further support the covered topics
tests
Course prerequisites:
https://fmph.uniba.sk/microsites/kjp/katedra-jazykovej-pripravy/poziadavky-na-udelenie-priebezneho-hodnotenia-aj1aj2aj3-ostatne-kurzy/
The sylabus is targeted at the comprehension of the basics of the Slovak language for the absolute beginners (A1) and this course is a follow up course to the Slovak language course 1.
100/0
This course is aimed for foreign students to learn the fundamentals of the Slovak language with the focus on basic communication as well as all other language skills- listening comprehension,reading and writing.
By means of physical education and sports to effectively act and advance a physical ability, fitness, performance and health of students.
Slovak, English
To practise game combinations, tactical - mechanical elements in basketball, volleyball, soccer, floorball, ice hockey, badminton, competition rules in the sports specialization.
100/0
Grades: A 90%, B 80%, C 70%, D 60%, E 50%
The condition for the award of 1 or 2 credits is the completion of a multi-day course in its full scope, or the completion of one-day courses in the scope of 4 days. Candidates can apply to the leaders of individual courses. From the presented offer of courses, you can choose the one that suits your interests, abilities and deadlines.
Slovak
KTVŠ will provide sports equipment.
The student can sign up for the outdoor sports courses offered by the department: water tourism - river rafting, windsurfing, beach volleyball, hiking and other hobby sports. The lessons in the courses are focused on the development of basic and special movement skills and, mastering the techniques needed for the sports.
Creating a positive and lasting relationship with physical activity. Acquisition and mastery of basic motor skills and abilities in outdoor sports: windsurfing, beach volleyball, water tourism - river rafting, hiking and other sports according to interest. Training and improving the technique needed for the sports.
Grades: A 90%, B 80%, C 70%, D 60%, E 50%
The condition for the award of 1 or 2 credits is the completion of a multi-day course in its full scope, or the completion of one-day courses in the scope of 4 days. Candidates can apply to the leaders of individual courses. From the presented offer of courses, you can choose the one that suits your interests, abilities and deadlines.
Slovak
KTVŠ does not rent ski equipment.
The student can sign up for the outdoor sports courses offered by the department: skiing, snowboarding. The lessons in the courses are focused on the development of basic and special movement skills and, mastering the techniques needed for the sports.
Acquisition and development of basic motor skills and abilities in selected sports: skiing and snowboarding. Mastering the correct technique of performing individual movements, which are necessary for skiing and snowboarding.
Grades: A 90%, B 80%, C 70%, D 60%, E 50%
The condition for the award of 1 or 2 credits is the completion of a multi-day course in its full scope, or the completion of one-day courses in the scope of 4 days. Candidates can apply to the leaders of individual courses. From the presented offer of courses, you can choose the one that suits your interests, abilities and deadlines.
Slovak
KTVŠ will provide material equipment.
The student can sign up for the outdoor sports courses offered by the department: water tourism - river rafting, windsurfing, beach volleyball, hiking and other hobby sports. The lessons in the courses are focused on the development of basic and special movement skills and, mastering the techniques needed for the sports.
Creating a positive and lasting relationship with physical activity. Acquisition and mastery of basic motor skills and abilities in outdoor sports: windsurfing, beach volleyball, water tourism - river rafting, hiking and other sports according to interest. Training and improving the technique needed for the sports.
To strengthen the procedural side of the physical education and sports with the emphasis on health and psychological value as well as to enhance the physical condition of students.
Slovak, English
Preparation for sport championships of the Faculty in the chosen sport at modified rules. The selection of talented students into the teams of the University and Faculty leagues and other faculty sport events.
100/0
The objective of the classes is to provide the students with knowledge of technical English in their field of study and experience with technical English sources sufficient to make the able to use technical language for their later study and professional purposes.
Anglický jazyk pre študentov FMFI UK : Kurz pre mierne pokročilých / Alena Zemanová.
Učebnica je nepublikovaná, k dispozícii v elektronickej podobe na webovej stránke KJP.
Anglický jazyk pre študentov FMFI UK : Aplikovaná matematika / Alexandra Maďarová, Ľubomíra Kožehubová.- učebnica publikovaná online
Anglický jazyk pre študentov FMFI UK : Matematika: Alexandra Maďarová, Eva Foltánová.
Učebnica je nepublikovaná, k dispozícii v elektronickej podobe na webovej stránke KJP.
Anglický jazyk pre študentov FMFI UK : Fyzika / Alena Zemanová.
Učebnica je nepublikovaná, k dispozícii v elektronickej podobe na webovej stránke KJP.
Anglický jazyk pre študentov FMFI UK : Informatika / Elena Klátiková.
Učebnica je nepublikovaná, k dispozícii v elektronickej podobe na webovej stránke KJP.
test, essay/presentation
Grades: A 93%, B 85%, C 77%, D 70%, E 65%
Course prerequisites:
https://fmph.uniba.sk/microsites/kjp/katedra-jazykovej-pripravy/poziadavky-na-udelenie-priebezneho-hodnotenia-aj1aj2aj3-ostatne-kurzy/
Slovak, English
The subject continues the program of English (2). Students take classes of special English for their field of study: English for mathematics, English for physics, English for computer science, English for management and economic and financial mathemathics.
The subject requires advanced knowledge of general English.
100/0
The objective of the classes is to provide the students with knowledge of technical English in their field of study and experience with technical English sources sufficient to make the able to use technical language for their later study and professional purposes.
The objective of the classes is to provide the students with knowledge of technical English in their field of study and experience with technical English sources sufficient to make them able to use technical language for their later study and professional purposes.
Anglický jazyk pre študentov FMFI UK : Kurz pre mierne pokročilých / Alena Zemanová.
Učebnica je nepublikovaná, k dispozícii v elektronickej podobe na webovej stránke KJP.
Anglický jazyk pre študentov FMFI UK : Aplikovaná matematika / Alexandra Maďarová, Ľubomíra Kožehubová.- učebnica publikovaná online
Anglický jazyk pre študentov FMFI UK : Matematika: Alexandra Maďarová, Eva Foltánová.
Učebnica je nepublikovaná, k dispozícii v elektronickej podobe na webovej stránke KJP.
Anglický jazyk pre študentov FMFI UK : Fyzika / Alena Zemanová.
Učebnica je nepublikovaná, k dispozícii v elektronickej podobe na webovej stránke KJP.
Anglický jazyk pre študentov FMFI UK : Informatika / Elena Klátiková.
Učebnica je nepublikovaná, k dispozícii v elektronickej podobe na webovej stránke KJP.
Examination: an examination consisting of a written and an oral part.
Grades: A 93%, B 85%, C 77%, D 70%, E 65%
Course prerequisites:
https://fmph.uniba.sk/microsites/kjp/katedra-jazykovej-pripravy/skuska-z-predmetu-anglicky-jazyk-4/
Slovak, English
Students take classes of special English for their field of study: English for mathematics, English for physics, English for computer science, English for management and economic and financial mathemathics.
0/100
After completing the course, students will be able to work independently with professional literature in English
written and oral examination
Continual improvement of all language skills focused on communication/speaking, listening comprehension and writing. The emphasis is on discourse, lexicology and morphology, word-bank broadening of communicational English as well as English for specific purposes appropriate for university students. This course is a follow up of the previously taught ESP course.
Appropriate study material is supplied based on the participants’level of English by the lecturer.(Sources- The Guardian, The Herald Morning Sun. The Nine News, The West Australian, BBC News and podcasts, CNN podcasts).
tests, oral presentations, essays
tests, presentations, essays
Course prerequisites:
https://fmph.uniba.sk/microsites/kjp/katedra-jazykovej-pripravy/poziadavky-na-udelenie-priebezneho-hodnotenia-aj1aj2aj3-ostatne-kurzy/
This course’s focus is to broaden spoken/communicational English for students with B2/C1 level of English knowledge.
100/0
Continual improvement of all language skills focused on communication/speaking, listening comprehension and writing. The emphasis is on discourse, lexicology and morphology, word-bank broadening of communicational English as well as English for specific purposes appropriate for university students. This course is a follow up of the previously taught ESP course.
tests
Continual improvement of all language skills focused on communication/speaking, listening comprehension and writing. The emphasis is on discourse, lexicology and morphology, word-bank broadening of communicational/spoken English as well as English for specific purpose appropriate for university students. This course is a follow up of the Conversational English course 1.
Appropriate study material is supplied based on the participants’level of English by the lecturer.(Sources- The Guardian, The Herald Morning Sun. The Nine News, The West Australian, BBC News and podcasts, CNN podcasts).
tests, oral presentations, essays
tests, oral presentations, essays
Course prerequisites:
https://fmph.uniba.sk/microsites/kjp/katedra-jazykovej-pripravy/poziadavky-na-udelenie-priebezneho-hodnotenia-aj1aj2aj3-ostatne-kurzy/
This course’s focus is to broaden spoken/communicational English for students with B2/C1 level of English knowledge( Upper-Intermediate/Lower Advanced).
100/0
Continual improvement of all language skills focused on communication/speaking, listening comprehension and writing. The emphasis is on discourse, lexicology and morphology, word-bank broadening of communicational/spoken English as well as English for specific purpose appropriate for university students. This course is a follow up of the Conversational English course 1.
tests
Improvement of common language, deepening the knowledge of technical terms, reading technical texts, presentations of popular scientific articles.
Capelle Guy, Menand Robert: Le Nouveau taxi 1, Hachette FLE Paris, France 2009, ISBN 978-2-01-155548 - 9
test
The subject provides a course of intermediate French language, covering not only general, but also technical language.
100/0
Improvement of common language, deepening the knowledge of technical terms, reading technical texts, presentations of popular scientific articles.
Menand Robert: Le Nouveau taxi 2, Hachette FLE, Paris, France 2009, ISBN 978-2-01-155551 - 9
test
The subject provides a course of intermediate French covering not only general, but also technical French language.
100/0
Deepening the knowledge of the common language and basic technical terms of particular fields of study (depending on the student's level of German proficiency).
Appropriate study material is supplied by teacher based on the participants’level of German proficiency.
test
The course is a follow-up to the German language (1,2). The subject provides a course of intermediate or advanced German language.
This course’s focus is to deepen the knowledge of the common language and basic technical terms of particular fields of study (depending on the student's level of German proficiency).
100/0
Master the basics of general language and basic professional terminology of individual fields of study (depending on the advanced level of students)
Deepening the knowledge of the common language and basic technical terms of particular fields of study (depending on the student's level of German proficiency).
Appropriate study material is supplied by teacher based on the participants’level of German proficiency.
test
The course is a follow-up to the German language (1-3). It provides a course of intermediate and advanced German language.
This course’s focus is to deepen the knowledge of the common language and basic technical terms of particular fields of study (depending on the student's level of German proficiency).
100/0
Master the basics of general language and basic professional terminology of individual fields of study (depending on the advanced level of students)
Learning the handwritten Russian (Russian Cursive Cyrillic), developing further language skills, gaining knowledge of Russian culture, history and way of life, pre-intermediate to intermediate grammar and vocabulary.
Точка Ру A2 (Ольга Долматова, Екатерина Новачац) a Short Stories in Russian (Olly Richards, Alex Rowlings)
test
Learning the handwritten Russian (Russian Cursive Cyrillic), developing further language skills, gaining knowledge of Russian culture, history and way of life, pre-intermediate to intermediate grammar and vocabulary.
The course "Russian for Intermediate Students" is a follow-up to "Russian for Beginners". The subject of the course is general Russian in the range appropriate to the given level.
100/0
Basic communication in Russian, developing other Russian language skills - listening comprehension, reading and writing.
Learning the handwritten Russian (Russian Cursive Cyrillic), developing further language skills, gaining knowledge of Russian culture, history and way of life, pre-intermediate to intermediate grammar and vocabulary.
Точка Ру A2 (Ольга Долматова, Екатерина Новачац) a Short Stories in Russian (Olly Richards, Alex Rowlings)
test
Learning the handwritten Russian (Russian Cursive Cyrillic), developing further language skills, gaining knowledge of Russian culture, history and way of life, pre-intermediate to intermediate grammar and vocabulary.
The course "Russian for Intermediate Students" is a follow-up to "Russian for Beginners". The subject of the course is general Russian in the range appropriate to the given level.
100/0
Learning the handwritten Russian (Russian Cursive Cyrillic), developing further language skills, gaining knowledge of Russian culture, history and way of life, pre-intermediate to intermediate grammar and vocabulary.
Krížom-Krážom Slovenčina 2, additional material to further support the covered topics.
tests
Course prerequisites:
https://fmph.uniba.sk/microsites/kjp/katedra-jazykovej-pripravy/poziadavky-na-udelenie-priebezneho-hodnotenia-aj1aj2aj3-ostatne-kurzy/
The sylabus is targeted at the comprehension of all the language skills of the Slovak language , and it is a follow up course to the Slovak language course 2.
100/0
This course is aimed for foreign students to better comprehend all the language skills important to enable correct usage of the Slovak language – listening comprehension, reading, writing and speaking.
Krížom-Krážom Slovenčina 2, additional material to further support the covered topics.
tests
Course prerequisites:
https://fmph.uniba.sk/microsites/kjp/katedra-jazykovej-pripravy/poziadavky-na-udelenie-priebezneho-hodnotenia-aj1aj2aj3-ostatne-kurzy/
The sylabus is targeted at the comprehension of all the language skills of the Slovak language , and it is a follow up course to the Slovak language course 3.
100/0
This course is aimed for foreign students to better comprehend all the language skills important to enable correct usage of the Slovak language – listening comprehension, reading, writing and speaking.
To optimize the programmes of the sport recreational activities as a basic precondition of health strengthening, acquirement of physical capability, fitness, regaining of working energy and readiness of body to confront stress situations and dangerous factors.
Slovak, English
Preparation and participation of individuals and teams in the system of university sport competitions and sport events.
100/0
To mediate information and instructions from different fields of physical education and sports to students, to broaden know-how of sport performance in free time.
Slovak, English
Using the communication in the physical education and sport and organizing the sport championships to achieve expressive motion of the sport and health in a valuable orientation the students.
100/0
- Lechta, V. (ed): Inkluzivní pedagogika. Praha: Portál, 2016, ISBN 978-80-262-1123-5
- Slowík, J.: Komunikace s lidmi a postižením. Praha: Portál, 2010, ISBN 978-80-7367-691-9
- Kol. autorov: Od integrácie k inklúzii. VÚDPaP: Bratislava, 2018, ISBN 978-80-89698-27-1
Continuous assessment: active participation in class (elaboration of assigned tasks, participation in discussions)
An exam: -
Indicative assessment level: e.g. A 90%, B 80%, C 70%, D 60%, E 50%
Slovak
- Characteristics of basic concepts.
- Disability models.
- Disability legislation.
- Human, communication, information and architectural barriers.
- Impact of disability on education.
- Segregation - integration - inclusion.
- Information access technologies for people with disabilities.
- Possibilities and limits of creating equal conditions for the education of pupils with specific educational needs.
- Inclusive school - education for all.
- The importance of education for the social inclusion of people with disabilities.
100/0
The student:
- They will get acquainted with the basic characteristics of types of health disadvantage (HR) and will know the consequences of HR on education.
- Gain personal experience from meetings with people with disabilities and will be able to explain and apply the rules of communication with them.
- Can characterize the forms of education of students with SEN and assess the possibilities of their pedagogical, technical and human support, which positively affect the success of education.
EN
After completing the course, students will be able to use the methods and techniques Extreme Programming methodology: pair programming, writing and using unit tests, test driven programming, clean code, refactoring, code review, working with legacy code. Agile using of ChatGPT – advantages and drawbacks. Principles of agile project management methodology in the form of extreme programming.
Beck, Kent, 1999: Extreme Programming Explained, Addison-Wesley Professional, Martin, Robert C. 2008: Clean Code: A Handbook of Agile Software Craftsmanship, Pearson; 1st edition, Fowler, Martin, 2018: Refactoring: Improving the Design of Existing Code, Addison-Wesley
Langr, Jeff, 2013: Modern C++ Programming with Test-Driven Development, The Pragmatic programmers, LLC Amr Noaman, 2018: Refactoring to Clean Code. Concepts and Techniques for Taming Wild Code, The Pragmatic Bookshelf, Dallas, http://leanpub.com/RefactoringToCleanCode Feathers, Michael C, 2005: Working Effectively with Legacy Code, Prentice Hall Bernstein, David Scott, 2015: Beyond Legacy Code, Nine Practices to Extend the Life (and Value) of Your Software, The Pragmatic Bookshelf, Dallas, Texas – Raleigh, North Carolina Whittaker, James A., 2011, Exploratory Software Testing, Addison-Wesley, Callaghan, Michael D., 2023, Pair Programming with ChatGPT, Independently published
No
Continuous evaluation: exercises, presentations, homework assignments (50%), final exam (30%), final essay: (20%). Final grade: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
History of software engineering, life cycle of software systems, traditional and agile methodologies, pillars of extreme programming (XP): pairwise programming, test driven programming, typology of tests and their use, refactoring and its techniques, principles of writing clean code, code review, legacy code, principles of project management in XP. ChatGPT in programming: advantages and drawbacks.
https://dai.fmph.uniba.sk/~gyarfas
50/50
After completing the course, students will be able to use the methods and techniques of extreme programming methodology: pair programming, defining and use of unit tests, test driven programming, clean code, refactoring, code review, working with legacy code. Using Chat GPT in programming: advantages and drawbacks. They will be able to organize work according methodology of extreme programming.
Staab, S. and Studer, R. eds., 2010. Handbook on ontologies. Springer Science & Business Media.
Allemang, D. and Hendler, J., 2011. Semantic web for the working ontologist: effective modeling
in RDFS and OWL. Elsevier.
Selected relevant recent scientific papers.
Semester: project (60pts), ongoing work assessment (20pts)
Exam: written exam (20pts)
Min. passing requirements: 50% from the semester and 50% from the exam
Indicative assessment scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
- Ontologies and their applications
- Well-known ontologies
- Ontological representation languages (RDF, RDF Schema, OWL)
- Ontologies and databases
- SPARQL query language
- Linked Open Data network
- Ontology engineering
- Applications of ontologies in informatics
80/20
Students become acquainted with ontologies, with their role in data representation and sharing,
with ontological representation and query languages, and with ontology engineering
methodologies. They will also get acquainted with Semantic Web standards and with the principles
and possibilities of publishing data in the Linked Open Data network, as well as the use of such
data in knowledge-based applications.
- S. Russell: Human compatible. Artificial intelligence and the problem of control. Viking, 2019.
- J. Havens: Heartificial intelligence. Embracing our humanity to maximize machines. Penguin, 2016.
- P. Boddington: Towards a code of ethics for artificial intelligence. Springer, 2017.
- M. Shanahan: The technological singularity. MIT Press, 2015.
- C. MacKellar, C.: Cyborg Mind: What Brain–Computer and Mind–Cyberspace Interfaces Mean for Cyberneuroethics. Berghahn Books, 2019.
- G. Bel, J. Gemmell: Total Recall, How the e-Memory Revolution will change everything. Dutton, 2009.
- S. Zuboff: The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. PublicAffairs, 2019.
- C. O'Neil: Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown Publishers, 2016.
- M. Tegmark: Life 3.0. Allen Lane, 2017.
Semestral evaluation: active participation
Final evaluation: essay
Weight of the final evaluation: 60%
To achieve an A, 90% is needed, for B at least 80%, for C 70%, for D, 60% and for an E, at least 50% of overall assessment.
English
Big data: privacy, politics and power,
Internet of things, it usefulness and threats,
Assistant AI and its place in future society,
Job market and inequality,
Enhancements and human rights and the right to change self and others,
Initiatives for responsible research,
Artificial minds,
Hybridization between species and between AI and organic minds,
Future of minds and trans-humanism,
Artificial emotional intelligence,
An after human era.
http://dai.fmph.uniba.sk/courses/STH/
The students will gain awareness of the contemporary and potential future challenges posed by scientific and technological innovations and their impact on human behaviour, culture and society.
1-INF-160 Introduction to combinatorics and graph theory
Approximate scale of evaluation: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English.
Basic terminology: trees, bipartite graphs, graph and labyrinth search. Eulerian graphs. matchings in graphs, König's theorem, Hall theorem and its corollaries. measuring of graph connectivity. Menger's theorem, Planar graphs, Euler's theorem. Kuratowski's theorem. Graph coloring: some NP-hard problems, greedy algorithm. Brooks' theorem. Vizing's theorem. Coloring of planar graphs. Flows, Ford–Fulkerson algorithm and its applications. Integer and group flows, relationship to coloring. Hamiltonian graphs. Chvátal's theorem. Random graphs, probabilistic models, properties of random graphs.
20/80
maximum 20% of evaluation can be obtain by solving homoworks
The course will provide students with solid foundations of graph theory by proving key classical theorems and explaining the most important graph algorithms. Emphasis is also placed on motivation from other scientific disciplines and technology and possible applications of the covered topics.
Course notes provided on the course website, freely available electronic materials
Practical assignments (both during the semester and on final exam)
Approximate grading scale: A 92%, B 84%, C 76%, D 68%, E 60%
Slovak, English
users, groups, passwords
access permissions for files and directories, ACL
filesystem structure
character and block devices
special filesystem objects (symlink, pipe)
mounting and unmounting of filesystems to the directory hierarchy (mount, umount, /etc/fstab)
creating filesystems
system startup and shutdown - /etc/inittab, runlevels
job scheduling (cron, at, batch)
TCP/IP configuration (ifconfig, route)
network services (/etc/services, /etc/inetd.conf, /etc/protocols, /etc/hosts, ...)
DNS – client (/etc/resolv.conf)
DNS – server
NFS
Firewall
SystemD
Assumptions:
good user-level knowledge of UNIX systems, directory hierarchy navigation, creating and editing
files (vi, joe), shell programming (sh/bash), commands find, grep, cat, cut, ls, awk.
40/60
After completing the course the students will know the principles of UNIX system administration and they will be able to practically carry out the basic duties of a system administrator.
Computer Networks / Andrew S. Tanenbaum, David J. Wetherall. Boston : Pearson education, 2011
Computer Networks / Andrew S. Tanenbaum. Upper Saddle River : Prentice-Hall, 2003
Data and computer communications / William Stallings. Upper Saddle River : Prentice-Hall, 2004
1-INF-283
practical assignments during semester, written final test (at least 50% required) and oral final exam (may be waived)
Approximate grading scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
802.1q, STP, DOCSIS , IP routing protocols (BGP, OSPF), advanced topics in TCP (syn-cookies, ECN, ...).
Theoretical principles of data transmission, maximal bandwidth, CRC, modulation techniques, multiplexing, FDMA, TDMA, CDMA, synchronous and asynchronous links, PPP.
40/60
Students will be familiar with principles and practical application of advanced technologies in computer networks and data communication.