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.
Michael Baye: Managerial Economics and Bussines Strategy.
Continuous test.
Final test-
Slovak, English
Market forces - demand, supply.
Costs, cost function.
Basic market models.
Perfect competition.
Monopoly.
Monopolistic competition.
Oligopoly markets.
Pricing.
The role of government in a market economy.
40/60
Students will understand the basics of neoclassical, textbook economics.
Olivier Blanchard: Macroeconomics
Mid-term test, final test.
Slovak, English
Gross domestic product. Total demand in the economy. IS-LM model. Government fiscal policy. Central bank monetary policy. Labor market. Total supply in the economy. Inflation. AS-AD model. Open economy.
40/60
Understanding the basics of how the country's economy as a whole works. The role of government and central bank.
Data envelopment analysis : A comprehensive Text with Models, applications, references and DEA- Solver software / William W. Cooper [et al.]. Boston : Kluwer , 2004
M. Halická: Učebné texty k predmetu DEA modely dostupné na www.iam.fmph.uniba.sk/institute/halicka/text/TextDEA35.pdf
Continuous assessment: project 30%, small written exams or homeworks 20% , a necessary condition to obtain at least 10% of the 30% evaluation for the project
Examination: written 50%, possible oral exam (improvement or deterioration of the achieved evaluation by one degree)
Indicative assessment scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
Introduction to DEA modelling, different approaches to DEA modeling, efficiency and effectiveness, CCR model, BCC model, range efficiency, additive model, basic model properties, model invariance, monotonous efficiency, input / output additions, returns to scale, superefektivity, rules for correct application of DEA models, SBM model, AR model.
50/50
Upon completion of the course students will understand the fundamentals of DEA models and will be able to use them for evaluating the effectiveness of units within a given group.
Experimental economics introduces the subject matter, methods, and results of experimental economics. It will stress interaction of theory and experiment, seeking to relate questions in the theories of markets, games, and decisions to issues in experimental design and the analysis and the interpretation of results. These themes will be developed by discussing series of related experiments.
The Handbook of experimental economics / Editors John H. Kagel, Alvin E. Roth. Princeton : Princeton University Press, 1995
Theodore Bergstrom - John H. Miller: Experiments with Economic Principles: Microeconomics, McGraw-Hill, 2000.
Homeworks, Participation on Experiments
Continuous assessment: based on the evaluation of written protocols from the performed experiments
Indicative assessment scale: A 100-90%, B 89-80%, C 79-70%, D 69-60%, E 59-50%
Slovak, English
1. Competitive Markets (Supply and Demand. Shifting Supply.)
2. Market Intervention and Public Policy (A Sales Tax. Prohibition. A Minimum Wage.)
3. Imperfect Markets (Externalities. Monopolies and Cartels.)
4. Firms a technology (Entry and Exit. Network Externalities. Measuring Productivity. Comparative Advantage.)
5. Information, Auctions, Bargaining (Adverse Selection. Auctions. Bargaining.)
100/0
Students will be able to verify the principles on which economic theory is built. They can construct an experiment to support / refute new hypotheses in further research.
Gruber, J. 2016. Public Finance and Public Policy. Macmillan.
Harris, J. M., and Roach, B. 2018. Environmental and Natural Resource Economics: A Contemporary Approach. ME Sharpe.
Schotter, A. 2009. Microeconomics: A Modern Approach. Cengage Learning.
Evaluation of the course consists of the final exam (60%), homework (30%) and exercises during lectures (10%). In addition, it is necessary to obtain a minimum of 50% from both the interim assessment and the final exam.
Grading scale: A 100-91%, B 90-81%, C 80-71%, D 70-61%, E 60-51%
English, Slovak
The course is a part of the cooperation of the EFM study program with CERGE-EI on their Distance learning program. The course will be conducted in a partially cumulative form: (3P+1C) per week during 6 weeks from the beginning of the semester. The final exam will be held the week after the end of the course, the make-up exam a week later. Lectures on the subject will take place in electronic form in English, exercises in person.
The the course aims to provide a deeper theoretical insight into the issue of economic externalities, such as global warming. The course will introduce several classic economic tools that are used to solve externalities in the field of public finances (Pigou's tax, cap-and-trade programs, subsidies, etc.). The second part of the course will be devoted to the issue of decarbonization technologies, such as heat pumps or electric cars. In the context of solving the problem of global warming, we will evaluate the economic benefit of these technologies and present the current progress in the field.
40/60
The student will gain an overview of economics of decarbonization technologies and teconomic instruments suitable for addressing externalities.
Students should gain basic knowledges and skills of the Mathematical Analysis in the below listed Subjests.
Rudin, Walter: Principles of mathematical analysis, ISBN 0-07-054235-X
Hildebrandt, Stefan: Analysis I, ISBN 3-540-42838-0
Forstter, Otto: Analysis I, ISBN 3-528-57224-8
Neubrunn, Tibor a Vencko, Jozef: Mathematical Analysis I, textbook of FMFI UK
Kubáček, Valášek: Cvičenia z Matematickej analýzy 1,2
For the semester, the student can get 15 points for exercises, 40 points for written exams, the final written exam has a weight of 30 points, the final oral exam weighs 15 points. The student must obtain at least 45 points from the exercises, written exams and the final written exam, at least 15 points from the final written exam and at least 5 points from the final oral exam. Grading: A (91-100 points), B (81-90 points), C (71-80 points), D (61-70 points), E (51-60 points), Fx (0-50 points).
Weight of the ongoing / final assessment: ongoing assessment 55% (15% exercise + 40% written exams) / 45% (30% final written exam, 15% final oral exam).
For the semester, the student can get 15 points for exercises, 40 points for written exams, the final written exam has a weight of 30 points, the final oral exam weighs 15 points. The student must obtain at least 45 points from the exercises, written exams and the final written exam, at least 15 points from the final written exam and at least 5 points from the final oral exam. Grading: A (91-100 points), B (81-90 points), C (71-80 points), D (61-70 points), E (51-60 points), Fx (0-50 points).
Weight of the ongoing / final assessment: ongoing assessment 55% (15% exercise + 40% written exams) / 45% (30% final written exam, 15% final oral exam).
Slovak, English
Real numbers, functions of real variables. Limit of the function, basic theorems on limits. Compact sets. Continuity of a function in a point and on a set, basic properties of continuous functions on intervalas and compact sets. Derivative and general rules for differentiation. Repeated differentiation. Mean value theorems. Applications of the derivative. L´Hospital´s rule. Taylor´s polynomials.
55/45
After completing the course, the student can use the apparatus of differential calculus of functions of one real variable in solving appropriate problems of theoretical and practical focus.
test and oral examination
Salanci, L.: www.salanci.sk - web page with lectures and exercises
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
Expressions and variables.
Loops.
Program branching.
Subroutines and functions.
List.
Solving mathematical and geometrical problems.
User interaction.
https://www.edu.fmph.uniba.sk/~salanci/Python/index.html
0/100
Students are able to solve problems algorithmically, to process large number of data and to communicate with the user using basic constructions and data types of programming language Python.
Students should gain basic knowledges and skills of the Mathematical Analysis in the below listed Subjests.
Rudin, Walter: Principles of mathematical analysis, ISBN 0-07-054235-X
Hildebrandt, Stefan: Analysis I, ISBN 3-540-42838-0
Forstter, Otto: Analysis I, ISBN 3-528-57224-8
Neubrunn, Tibor a Vencko, Jozef: Mathematical Analysis I, textbook of FMFI UK
Kubáček, Valášek: Cvičenia z Matematickej analýzy 1,2, textbook of FMFI UK
tests
For the semester, the student can get 15 points for exercises, 40 points for written exams, the final written exam has a weight of 30 points, the final oral exam weighs 15 points. The student must obtain at least 45 points from the exercises, written exams and the final written exam, at least 15 points from the final written exam and at least 5 points from the final oral exam. Grading: A (91-100 points), B (81-90 points), C (71-80 points), D (61-70 points), E (51-60 points), Fx (0-50 points).
Weight of the ongoing / final assessment: ongoing assessment 55% (15% exercise + 40% written exams) / 45% (30% final written exam, 15% final oral exam).
Antiderivatives and indefinite integrals and techniques of integration. The definite integral and its properties. Integral as a limit of integral sums. Derivatives with variable endpoints. The fundamental theorem. Mean value theorems. Applications of the integral. Series of positive terms. Absolutely and conditionally convergent series. Series of functions. Pointwise and uniform convergence. Power series. Taylor series.
55/45
After completing the course, students will be able to use the apparatus of integral calculus of functions of one real variable, series and series of functions to solve appropriate computational and theoretical problems.
test and oral examination
-
Salanci, L.: www.salanci.sk - web page with lectures and exercises
Programming 1
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
Strings.
Objects.
Many objects.
Turtle graphics.
Recursion.
Files,
Solving mathematical and geometrical problems.
User interaction.
https://www.edu.fmph.uniba.sk/~salanci/Python/index.html
0/100
Using object-oriented programming in the Python programming language, students are able to solve problems algorithmically, process structured data and interact with the user.
-
The aim of the lecture is to teach the students differential calculus of functions of several variables.
J. Filo, K. Rostás: 2^2 × 13 prednášok z matematickej analýzy, Vydavateľstvo UK, 2016.
W. Walter: Analysis 2. Springer, Berlin, 2002.
W. Rudin: Principles of mathematical analysis. McGraw-Hill, Singapore, 1976.
B. P. Demidovich: Problems in Mathematical Analysis, Beekman Books, 1975.
I. Kluvánek, L. Mišík, M. Švec: Matematika 1. SVTL, Bratislava, 1966.
W. Fleming: Functions of Several Variables, Springer-Verlag, New York-Heidelberg-Berlin 1997.
test
For the semester, the student can get 20 points for exercises, 30 points for written exams, the final written exam has a weight of 30 points, the final oral exam weighs 20 points. The student must obtain at least 40 points from the exercises, written exams and the final written exam, at least 15 points from the final written exam and at least 10 points from the final oral exam. Grading: A (91-100 points), B (81-90 points), C (71-80 points), D (61-70 points), E (51-60 points), Fx (0-50 points).
Weight of the ongoing / final assessment: ongoing assessment 50% (20% exercise + 30% written exams) / 50% (30% final written exam, 20% final oral exam).
Slovak, English
1. Metric spaces
n-dimensional Euclidean space Rn, convergence and Cauchy sequence in Rn, metric spaces, convergence in a metric space, complete metric space, normed space, Banach space, Banach fixed point theorem, topology of metric spaces, compact and convex sets, convex functions
2. Limit and continuity
limit and continuity in metric spaces, continuous vector functions, continuity and compactness
3. Differential calculus of functions of several variables
partial derivatives, gradient, total differential and differentiability, derivative of a compound function, directional derivative, Taylor theorem and local extrema
4. Implicitly given functions
implicit function theorem, constrained extrema, Lagrange multipliers
50/50
Absolvent of the subject has basic knowledge of metric spaces and differential calculus of scalar and vector functions of several variables and is capable of applying it for solving particular tasks in differential calculus of functions of several variables.
examination
To obtain basic knowledges in numerical mathematics, which are requisite for solving problems of mathematical analysis, algebra, applied mathematics and practice with computer.
Lars Eldén, Linde Wittmeyer-Koch: Numerical analysis An Introduction ACADEMIC Press, INC, San Diego, 1990.
J. Babušíková, M. Slodička, J. Weisz : Numerická matematika , UK Bratislava, 1999 (skriptá).
S. Míka: Numerické metody algebry, SNTL Praha 1982.
P. Přikryl: Numerické metody matematické analýzy, SNTL Praha 1985.
A. Ralston: A first course in numerical analysis, New York, 1965.
R. L.Burden, J. D. Faires: Numerical Analysis, Cengage Learning, 2010.
tests
Preliminary assessment: 2 written tests 10 points each, individual work 10 points
Final examination: written exam for 50 points and oral exam for 20 points
Indicative assessment scale: A 88%, B 78%, C 68%, D 58%, E 48%
Slovak and English
Position of numerical mathematics in solving of real problems. Concept of stability. Errors and computational arithmetic. The solution of nonlinear equations. Solution of system nonlinear equations. Approximation of functions. Interpolation - Lagrange's and Newton's interpolation polynomial and their errors. Optimal selection of interpolations point. Chebyshev polynomials. Linear and cubic splines. The least square method. Numerical differentiation. Numerical quadrature.
The solution of simultaneous linear equations.
30/70
After completing the course, students will be able to solve numerical mathematics problems from mathematical analysis, algebra, applied mathematics and practice using computers and available software.
examination
The study of elements of probability and statistics
Janková, K., Pázman, A.: Pravdepodobnosť a štatistika, Vydavateľstvo UK 2011
Harman, R., Honschová, E., Somorčík, J.: Zbierka úloh zo základov teórie pravdepodobnosti, Paci Bratislava 2009
G.R.Grimmett, D. Stirzaker: Probability and Random Processes. Oxford University Press 2001
test
Preliminary semester evaluation: a test
Examination: written examination
Approximate grade thresholds: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
Probability space. Classical probability models. Random variable and distribution function. Elementary discrete and continuous distributions, expectation and variance. Independence and correlation. Normal distribution and the central limit theorem. Random sample, sample mean, sample variance. Sampling normal distribution. Estimation of parameters, maximal likelihood, confidence intervals for the mean of a normal distribution.
50/50
After completing the course the student will be able to use classical probability models, axiomatic approach to the definition of probability. He will master one dimensional discrete and continuous random variables. He will be given an introduction to selected statistical procedures: point and interval estimates of parameters sampling normal distribution.
written exam
Introduction of elementary concepts and relations in probability and mathematical statistics.
Janková, K., Pázman, A.: Pravdepodobnosť a štatistika, Vydavateľstvo UK 2011
K. Zvára, J. Štěpán: Pravděpodobnost a matematická statistika, Matfzypress 1997
Harman, R., Honschová, E., Somorčík, J.: Zbierka úloh zo základov teórie pravdepodobnosti, Paci Bratislava 2009
G.R.Grimmett, D. Stirzaker: Probability and Random Processes. Oxford University Press 2001
test
Preliminary assessment: test
Examination: written examination
Approximate final assessment: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
Multiple random variables, their distribution and characteristics. Elementary introduction to Lebesgue integral. Marginal and conditional distributions and densities. Independence, sums of independent random variables. Characteristic functions and their applications. Convergence of sequences of random variables, central limit theorems and weak law of large numbers. Statistical inference: estimation of parameters, maximal likelihood estimates, hypothesis testing. Neyman Pearson lemma. Regression models: least squares and maximal likelihood estimation of parameters. Goodness of fit tests.
30/70
After completing the course the student will master multivariate discrete and continuous distributions. He will be able to calculate distributions of sums, products and ratios of independent random variables. He will know the technique of characteristic functions and will be able to apply it to the multidimensional normal distribution. The knowledge of probability methods will be applied to selected statistical problems of parameter estimation and hypotheses testing.
The aim is to introduce to students the basic mathematical tools for creating and analyzing models of biological processes.
J. Hofbauer, K. Sigmund: The Theory of Evolution and Dynamical systems, Cambridge University Press, Cambridge 1988.
individual task
Selection dynamics and population genetics: Hardy-Weinberger law for two and more alleles, the selection equation, the mutation selection equation, the selection recombination equation.
Models of population ecology: logistic equation, Lotka-Volterra equations for predator-prey systems with and without intraspecific competition.
40/60
examination
Othe aim is to introduce to students the basic mathematical tools for creating and analzying models of biological processes.
J. Hofbauer, K. Sigmund: The Theory of Evolution and Dynamical systems, Cambridge University Press, Cambridge 1988.
individual task
Models of population ecology: the equilibria and their stability, Lotka-Volterra equations for more than two populations.
Game dynamics: evolutionary stable strategies, evolution of phenotypes, equations for asymmetric games.
examination
MATLAB - SIMULINK I / Stefan Kozak, Slavomir Kajan. Bratislava: Slovak University of Technology, 1999 Matlab / Jela Babušíková. Bratislava: FMFI UK Library and Publishing Center, 2007
Kozák Š., Kajan S., Matlab - Simulink, 1. Slovak University of Technology in Bratislava, 1999. ISBN Dušek F., MatLab and Simulink, University of Pardubice, 2000
mathworks.com/help
Continuous assessment: activity
Examination: group project, practical computer exam
slovak
Format and conversion of variables, vectors and matrices
Programming environment, so-called M-file
Reading from a file and protting data
Creating functions
Graphical GUI environment
20/80
Students will learn the basics of using MATLAB software. They will be able to use MATLAB to calculate some mathematical problems, read files or write to files, plot computed data, create complex functions for reuse and create a graphical user interface GUI for their programs.
To obtain knowledge in numerical mathematics which are requisite for solving problems of mathematical analysis, algebra, applied mathematics and practice with computer and accessible software.
Lars Eldén, Linde Wittmeyer-Koch: Numerical analysis An Introduction ACADEMIC Press, INC, San Diego, 1990.
Jela Babušíková, Marián Slodička, Juraj Weisz: Numerické metódy, Bratislava : Univerzita Komenského, 2000
Stanislav Míka: Numerické metody algebry, Praha : Státní nakladatelství technické literatury, 1985
Petr Přikryl: Numerické metody matematické analýzy, Praha : Státní nakladatelství technické literatury, 1985
R. L.Burden, J. D. Faires: Numerical Analysis, Cengage Learning, 2010.
A. Ralston: A first course in numerical analysis, New York, 1965.
Preliminary assessment: 2 written tests 20 points each
Final examination: written exam for 40 points and oral exam for 20 points
Indicative assessment scale: A 88%, B 78%, C 68%, D 58%, E 48%
Continuous assessment: individual work, test
Exam: Written and oral test
Slovak, English
Polynomial interpolation and various types of cubic splines. General least square mehod - trigonometric polynomial, Chebyshev expansions. Polynomial roots - Graeff and Bairstow methods. Gauss quadrature. Approximation of eigenvalues and eigenvectors.
40/60
After completing this course, students are able to numerically solve more specific mathematics problems.
Explanation of the basic notions and the algebraic apparatus needed for other mathematical branches and for understanding of mathematical methods in economics, finance, and management.
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
test
Ongoing evaluation during the semester: homeworks, midterm
Final exam: written and oral
Approximate grade scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
Basic concepts (integers, sets, mappings, binar relations, groups, rings, fields). Vector spaces, subspaces. Linear dependence, basis and dimension. Linear sums of the subspaces. Linear mappings, matrices. Regular mappings, inverse matrices. Systems of linear equations, determinants. Euclidean vector spaces.
50/50
Explanation of the basic notions and the algebraic apparatus needed for other mathematical branches and for understanding of mathematical methods in economics, finance, and management.
examination
The aim of the lectures is to guide students in their studies, to explain crucial problems, to show different approaches to problems, and to lead students to creativity in formulating the theoretical problems as well as to practical problem solving of managerial tasks.
The main goal of the seminars is to enhance the knowledge acquired during the lectures and from individual study prior to the seminar.
[1] COPUŠ, L. a kol. Manažment. Bratislava: Univerzita Komenského v Bratislave, 2024.
[online]. Dostupné na: https://stella.uniba.sk/texty/FM_LCakol_manazment_2ed.pdf
[2] ROBBINS, P. R. – COULTER, M. Management. Harlow: Pearson, 2021.
[3] Collective of authors. 2020. Principles of Management. Minneapolis: University of Minnesota. [online]. Dostupné na: https://saylordotorg.github.io/text_principles-of-management-v1.1
[4] STACHO, Z. – STACHOVÁ, K. Základy manažmentu. Trnava: Univerzita sv. Cyrila a Metoda v Trnave, 2020. [online]. Dostupné na: https://www.ucm.sk/files/sk/ine-pracoviska/centrum-informacnych-zdrojov-ucm-trnave/referat-informacnych-sluzieb/e-zdroje/ucebne-texty-k-stiahnutiu/zaklady_manazmentu.pdf
[5] WOJČÁK, E. a kol. Manažment. Bratislava: Univerzita Komenského v Bratislave, 2017.
[6] MAJTÁN, M. a kol. Manažment. Bratislava: Sprint dva, 2016.
[7] SEDLÁK, M. – LIŠKOVÁ, C. Manažment. Bratislava: Wolters Kluver, 2016.
[8] Databases of the Academic library Comenius University, Center of science-technical information SR.
Essay (10%), presentation of the essay (10%), midterm test (15%), active participation in solving case studies, final test (25%)
Continuos evaluation (60%) - case studies, midterm test, final test. Exam (40%).
Slovak and English language
1. Management and managers.
2. Management theory development - first half of the 20th century.
3. Management theory development - second half of the 20th century and the beginning of the 21st century.
4. Organizational environment.
5. Management in a global environment.
6. Organizational culture.
7. Managerial ethics and social responsibility.
8. Strategic management.
9. Planning in management.
10. Managerial decision-making.
60/40
After completing the course, the student will gain comprehensive knowledge from selected areas of management theory and become familiar with the basic procedures for identifying and solving problems in managerial practice. The content of the course also focuses on developing the managerial skills and abilities of the students. Through discussions and solving case studies, the student improves the correct use of management terminology as a scientific discipline, expands his knowledge and improves the necessary skills for further study and managerial practice.
40% oral exam
The aim of the subject is to give the students comprehensive basic knowledge of the theory of management. The second aim is to develop managerial skills of students and their ability to apply knowledge in practice.
[1] WOJČÁK, E. - RUDY, J. - BAJZÍKOVÁ, Ľ. a kol. Manažment, UK Bratislava, 2017.
[2] PIŠKANIN A. – RUDY J. a kol.: Manažment klasické teórie a moderné trendy, UK Bratislava, 2010.
[3] SEDLÁK M.: Manažment. Iura Edition, Bratislava 2009.
[4] ROBBINS, P. R. - COULTER, M.: Management, Harlow : Pearson education limited, 2018, 14th edition. p 751. ISBN 978-1-292-21583-9
[5] ROBBINS, P. R. - COULTER, M. with contributions by MARTOCCHIO, J. J., KONG, L. K.: Management, Harlow : Pearson education limited, 2016, 13th edition. p. 717 . ISBN 978-1-292-09020-7
[6] Journal of Human Resource Management. ISSN 2453 – 7683-[online] www.jhrm.eu
Oral exam (max. 100%).
English language
1. Basics of organizing.
2. Job design.
3. Human resource management.
4. Individual and group behavior.
5. Motivation of employees.
6. Leadership theories.
7. Communication and interpersonal skills.
8. Controlling as a function of management.
9. Change management.
10. Self management and time management.
0/100
The result of the course is to provide basic knowledge of management, while students in lectures acquainted with the main approaches and principles of selected areas of management.
100% oral exam
Understand the role of accounting in the company's information system, describe basic accounting concepts, balance sheet accounting theory, accounting documents, valuation issues, financial statement processes and international accounting harmonization, and taxes from the aspect of decision making process.
1. Paul D. Kimmel, Jerry J. Weygandt, Donald E. Kieso- Financial Accounting: Tools for Business
Decision Making, WileyPLUS, 7th Edition, 2013
2. Jerry J. Weygandt, Paul D. Kimmel, Donald E. Kieso- Financial and Managerial Accounting,
WileyPLUS, 2nd Edition, 2015
test
Continuous assessment for the term (40 percent), exam (60 percent).
The condition for completing the course is to complete two control papers during the course (with a success rate of at least 50 percent - the result is the bonus points for the exam). Present the knowledge outlined in the brief syllabus.
The evaluation of the course is in accordance with the Study Regulations of Comenius University and the individual levels of the classification scale are awarded on the basis of the applied points system, which reflects the degree of success of completing the course.
english
1. The importance of accounting as part of a business information system
2. The objectives and functions of accounting
3. General accounting principles
4. Assets and liabilities
5. Balance sheet, its content and role. Impact of economic operations on a balance sheet.
6. Double-entry accounting (bookkeeping) system
7. Accounting documents, books of account
8. Valuation of assets and liabilities in the double entry accounting (bookkeeping). Understanding the cycle of assets by the double entry accounting (bookkeeping)
9. The financial statements and its structure
10. Conceptual framework of IFRS and principles of IFRS conversion from Slovak financial statements to the financial statements according to the IAS / IFRS
11. Accounting and taxes
12. Taxes and decision making process
40/60
The student is able to give a comprehensive picture of accounting with regard to its subject and understand the role of accounting in the company's information system, describe basic accounting concepts, balance sheet accounting theory, accounting documents, valuation issues, financial statement processes and international accounting harmonization, and taxes from the aspect of decision making process.
examination
To build an extension over the theory of vector spaces. Linear groups and relevant matrices theory. To learn a ground of the theory of algebraic structures - groups, rings, fields...
J. Korbas: Linearna algebra a geometria I
J. Smital, E. Gedeonova, S. Znam: Uvod do linearnej algebry
J. Smital, 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
test
Ongoing evaluation during the semester: quizzes, homeworks, midterms
Final exam: written and oral
Approximate grade scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
Groups of linear transformations of a vector space. Similar matrices (eigenvalues, eigenvectors , characteristic and minimal polynomial). Bilinear and quadratic forms (spectral decomposition of the symetric matrix). Groups (subgropus, cyclic groups). Finite groups (Lagrange theorem). Homomorphisms of groups (quotient group). Rings, integral domains, fields. Polynomial rings (selected facts about polynomials).
50/50
To build upon the previously introduced concepts of the theory of vector spaces (LaG1) - groups of linear transformations and the corresponding matrix theory. Master the basics of the theory of algebraic structures - groups, rings, fields, ...
examination
Continuous assessment: active participation in classes, elaboration of assignments, continuous test
Final evaluation: written exam
Innovation and innovation potential. Blockchain. FinTech. Banking transformation. Trends in banking and investment. Opportunities and threats of technology in the light of cyber security. Big data and data management. Artificial intelligence at financial markets. Financial innovation valuation models. Crisis periods and innovations. Innovative vrz. alternative finance. Multichannel banking alternatives. Cloud solutions for financial markets. P2P technology. Micro/nano-services in the finance.
40/60
By completing this course, the student will gain an overview of the basic innovative approaches to investment and financial markets. Student will be able to process a large amount of information and data, gain an overview of their availability in the field of innovative potential of financial products and, using several analyzes, process information on banking transformation, innovation trends and indices across countries. In connection with current situation at the market, student will be able to evaluate the riskiness of a given innovation and its effects on the financial sector.
0/2
Active participation, submission of assignments.
Grades: A (100-91), B (90-81), C (80-71), D (70-61), E (60-51), Fx (50-0).
Slovak, English
Fundamentals of mathematics in Python. Related libraries. Python and functions and their evaluation. Graphs of functions. Functions as tables. Vector features. Parametric graphs. Areas. Extremalization tasks. Derivation and integration, numerical and symbolic.
100/0
The student will gain practical knowledge with the possibilities of the Python programming language in the problems of mathematical analysis and linear algebra in the range of basics. (Differential and integral calculus, difference equations, numerical and symbolic derivation and integration, working with graphs and dependencies. Solving linear algebra problems.)
teaching is based on the practice and professional experience of lecturers
Weight of the mid-term / final evaluation: mid-term evaluation 20% / final evaluation 80% (seminar work 40% + oral exam 40%).
Continuous assessment of the student is associated with his participation in classes. The final evaluation consists of elaboration of a seminar work on a topic that the student chooses at the beginning of the semester (and during the lessons he / she continuously acquires the knowledge he / she develops in the work) and an oral exam.
Submission of the work is a necessary condition for obtaining the final evaluation, and the work must be evaluated min. 20% of the total rating.
Grading: A (100-85), B (84-75), C (74-65), D (64-55), E (54-45), Fx (44-0).
Slovak
The semester begins with a simulation program in which students go through model families with a period of 30 years of productive life and make standard financial decisions (that people encounter). They monitor the impact of their actions on financial assets. Subsequently, the semester goes through the topics of social security, investment, pension systems, credit segments. They apply the knowledge at the end of the semester again in simulations, where to see the differences in the final result based on the acquired knowledge.
20 / 80
The aim of the course is to acquaint students of applied mathematical disciplines with the functioning of financial institutions, the functioning of financial instruments, the behavior of people to financial products, the principles of asset management. It wants to bring closer the market to which students theoretically prepare during their university studies. It would help them to find a link between lexical knowledge and the market in which it will be applied. Students acquire knowledge in the field of financial literacy at the level necessary for future functioning in the professional and personal field.
Acquaint students with main functions of personnel management in firms and to show their roles in nowdays transition economy in Slovakia.
Bajzíková, Ľ. et al. 2013. Manažment ľudských zdrojov. Bratislava: Univerzita Komenského v Bratislave.
Carbery, R., Cross, C. 2013. Human Resource Management – A Concise Introduction. Houndmills, Basingstoke, Hampshire: Palgrave Macmillan.
Milkovich T., Boudreau J. 1996. Human Resource Management. Boston: Richard Irwin, 8th edition.
Koubek J. 2007. Řizení lidských zdroju. Praha: Management press.
Journal of Human Resource Management. Bratislava: Comenius University, Faculty of Management. ISSN 2453-7683.
Selected case studies.
Case study (15%), midterm and final tests (30%), in-class activities (15%), oral exam (40%).
Scale of assessment (preliminary/final): 60/40
For the „A“ evaluation 91 points at least are needed, for the „B“ evaluation 81 points at least are needed, for the „C“ evaluation 73 points at least are needed, for the „D“ evaluation 66 points at least are needed, for the „E“ evaluation 60 points at least are needed.
Assignments during the semester:
Case study (team assignment) - 15%
Midterm test - 15%
Final test - 15%
In-class activities - 15%
Oral exam in the exam period: 40%
Slovak, English
The role of HR management in the organization.
HR planning and job analysis.
Employee recruitment and selection.
Performance management and performance appraisal.
Employee training, development and career.
Employee compensation and motivation.
Employee and labor relations.
International HRM.
60/40
The aim of this course is to familiarize students with the major functions of HR management (e.g. job analysis, recruitment and selection, training and development, career management, compensation, etc.) and their relations to other fields of management as well as to explore the link between business strategy and individual HR functions. Students develop a basic understanding of the implementation of individual HR functions from both employer and employee points of view.
40 % – oral exam.
2/0 two tests during the semester (can be alternated with work on an exercise, which is supplementary) and an exam
Fourierove rady a Fourierov integrál / Michal Demetrian. Bratislava : Univerzita Komenského, 2012 Matematika pre štúdium technických vied : 2. diel / Igor Kluvánek, Ladislav Mišík, Marko Švec. Bratislava : Alfa, 1970 Zbierka úloh z vyššej matematiky : 1. časť / Jozef Eliaš, Ján Horváth, Juraj Kajan. Bratislava : Alfa, 1971
Interim and final examination. Continuous exam: writing sessions on exercises (60) (it is possible to substitute), final exam (40).
Grades: A (100-91), B (90-81), C (80-71), D (70-61), E (60-51), Fx (50-0).
Slovak, English
1. Improper integral in R ^ 1.
2. Parametric integrals
3. Integrals in R ^ n
4. Fourier series.
60/ 40
The student will gain practical skills in working with improper integrals on a straight line, with integration in a plane and space and will get acquainted with the concept and use of Fourier series theory.
To teach students basic techniques of linear programming with the aim of gaining the aptitude of mathematical modelling of real problems.
Mária Trnovská: Lineárne programovanie, online text.
Lineárne programovanie / Ján Plesník, Jitka Dupačová, Milan Vlach. Bratislava : Alfa, 1990
Robert J. Vanderbei: Linear programming: Foundations and extensions, Kluwer Academic Publishers, 2000.
individual homeworks
Continuous assessment: exercises: 40%, Exam: 60%.
The student must obtain at least half of the points for the exercises in order to pass the final written exam.
Grading: A (100-91), B (90-81), C (80-71), D (70-61), E (60-51), Fx (50-0).
Slovak, English
Geometric approach to solving linear programming problems. Practical problems formulation in the form of LP. Fundamentals of convex analysis (convex set, polyhedrons, extreme points, separation theorems, theorems of alternatives). Basic solutions and connection with extreme points. Simplex method (basic idea, two-phase and dual simplex method). Duality theory (duality and complementarity theorems) and its applications and economic interpretation. Idea of interior point methods for linear programming, central path. Modern applications of linear programming.
40% / 60%
Students master the basics of linear programming (simple models of real problems, relevant geometry, duality theory and some of the simplex methods, the idea of interior point methods). At the same time, they will gain an overview of possible applications of linear programming in other scientific fields, or in practice.
final project
The importance of differential equation theory for applications, basic methods of solving and an introduction to the theory.
1. Greguš, M., Švec, M., Šeda, V.: Obyčajné diferenciálne rovnice, Bratislava, Alfa, 1985.
2. Kluvánek, I., Mišík, L., Švec, M.: Matematika II, SVTL Bratislava, 1961.
3. Bock, I., Marko, Ľ. : Diferenciálne rovnice, skriptá, FEI STU, 1993.
4. D. K. Arrowamith, C. M. Place: Ordinary Diferrential Equations. A Qualitative Approach
with Applications, Chapman and Hall, London, New York 1982.
5. E. A. Coddington, N. Levinson: Theory of Ordinary Differential Equations, McGraw-Hill
Book Company, Inc., New York, Toronto, London 1955.
tests
interim and final exam:
continuous examination: tests(45%); final exam: written test(35%) and oral examination(20%)
Grades:
100-91% (A); 90-81% (B); 80-71% (C); 70-61% (D); 60-51% (E), 50-0% (Fx)
slovak
The notion of the differential equation, solution and initial value problem. The creation of mathematical models, methods of integration. Linear n-th order differential equations. The existence and uniqueness of solutions (the Picard´s theorem). Applications in natural and economic sciences.
45/55
The graduate of the course will know the importance of differential equations for applications, the creation of mathematical models, gain skills in solving differential equations and acquire basic knowledge from the introduction to the theory of ordinary differential equations.
aim
Financial management. Theory and practice: Eugene F. Brigham, Michael C. Ehrhardt. Cengage Learning, 16th edition, 2019
Principles of Corporate Finance: Richard A. Brealey, Stewart C. Myers, Franklin Allen. McGraw Hill, 13th edition, 2019
Routledge Handbook of Social and Sustainable Finance: ed. Othmar M. Lehner. Routledge, 2018
exam
Continuous assessment: active participation in classes, continuous test, condition for the exam is min. 70% of the interim evaluation (i.e. 28 points)
Exam: written exam - theoretical and computational part
English
Introduction to the financial management: financial markets, investments, products, instruments, environment, value management of a business entity.
Financial statement analysis: ratios, cash flow analysis, comparative market analysis and trend analysis, critical financial statement analysis, bankruptcy and creditworthiness models, economic value added.
Risk and return: financial assets and their risks, required/expected return, measurement of isolated risk, portfolio risk, diversification and volatility of investment portfolios, security market line (SML), effective set, indifference curves, optimal portfolio, capital asset pricing model (CAPM).
Time value of money: future value, present value, annuity, perpetuity, effective annual interest rate (EAR), discount.
Valuation models: general valuation model, types and basic properties of securities, present value of the bond; yield, interest rate and reinvestment risk of bonds; valuation of preference and ordinary shares, discounted dividend model.
Weighted average cost of capital: price of individual components of capital, weighted average cost of capital (WACC), optimal capital budget.
Evaluation of capital investments: net present value of the project (NPV), internal rate of return of the project (IRR), profitability index of the project, project financing.
Evaluation based on ESG factors: sustainable investments, green investments, evaluation parameters of business entities.
40/60
To provide students with basic knowledge of the financial management of business entities, asset valuation and the basic ability to independently decide on the possibility of investing based on preferences and market conditions.
exam
2/2
Nonlinear programming / Dimitri P. Bertsekas. Belmont : Athena Scientific, 1999
Convex optimization / Stephen Boyd, Lieven Vandenberghe. Cambridge : Cambridge University Press, 2004
Evaluation during the semester: written test - solving optimization problems, homework
Exam: Written exam
Slovak, English
Examples of nonlinear optimization problems in one and more dimensions and an introduction to minimization methods. Convex sets and convex optimization. Numerical implementation of minimization of a function of several variables. Euler's condition for the extremum of a functional, numerical extremalization of a functional.
70/30, Details: Homework 40, midterm 30, final exam 30
Students get practical knowledge in the field of minimization of nonlinear functions.
Carl D. Meyer: Matrix Analysis and Applied Linear Algebra, SIAM, 2001
G. Strang: Linear Algebra and Its Applications, 4th edition, Cengage Learning, 2006
M. Fiedler: Speciální matice a jejich použití v numerické matematice, SNTL, Praha, 1981
Semester: homework, midterm exam
Exam: written exam
Approximate grade scheme: A 75%, B 65%, C 55%, D 45%, E 35%
English, Slovak
Examples of the occurrence of matrices in practical tasks. LU-decomposition of a matrix and its modifications. Matrix norms. Projective (orthogonal and nonorthogonal) matrix. Last square problem. Generalized inverse matrix. QR-decomposition of a matrix (Gram-Schmidt orthogonalization, Householder's construction). Singular value decomposition of a matrix. Spectral properties of matrix. Gershgorin's theorem. Schur´s theorem. Several canonical forms of matrix. Hessenberg form of a matrix. Matrix functions defined over spectra of matrices. Normal matrix. Symmetric, positive definite, Hermitian matrix. The introduction to Perron-Frobenius's theory of nonnegative matrices. Practical applications for problems of numerical algebra.
http://thales.doa.fmph.uniba.sk/niepel/MC/matice.html
50/50
Student will gain basic theoretical knowledge to master the mathematical apparatus, which is standardly used to solve problems of applied mathematics. This course will provide her/him an overview how to solve various problems of numerical algebra.
Familiarize students with basic elements of the financial mathematics: theory of interest rates, portfolio theory and pricing of derivatives.
Baxter M., Rennie A.: Financial Calculus
Hull J.: Options, Futures and Other Derivatives
Luenberger D.: Investment Science.
FMFI.KAMŠ/1-EFM-250/00 - Mathematical Analysis (4) or FMFI.KAMŠ/1-
DAV-102/20 - Calculus (1)
2 projects
Evaluation during the semester: Project (40%), written test (40%), activity during exercises (20%)
Written exam. Voluntary oral examination to improve the final evaluation.
Informative evaluation scale: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
Coupon and zero-coupon bonds, term structure of interest rates, bootstrap method, yield to maturity, forward rates, duration.
Risk aversion, properties of utility functions, utility functions and mean-variance analysis, the
problem of Markowitz, Capital Asset Pricing Model (CAMP).
Binomial tree model, risk-neutral probabilities, risk-neutral pricing formula, Black-Scholes
formula, pricing of american options.
50/50
After completing the course, students will understand the basic principles of interest rate theory and
bond investment management. They will also get acquainted with the principles of stock portfolio
management. In the last part of the lecture, they will learn to price derivatives of the European and
American type using binomial trees and will also get acquainted with Black-Scholes formulas for
pricing put and call options.
examination
Adopting the basic knowledge and techniques of individual marketing activities of a company. Especially planning, organizing and controling the marketing actvities in a company, as well as conducting a market research, identifying the target market and designing a marketing strategy for a company development.
[1] BARTÁKOVÁ, G. – CIBÁKOVÁ, V. – ŠTARCHOŇ, P.: Základy marketingu. 2. rozšírené vydanie. Bratislava: 2007. ISBN 978-80-969834-4-5
[2] KOTLER, P. – ARMSTRONG, G.: Marketing. Praha: Grada 2007. ISBN 80-247-0513-3
[3] KOTLER, P. – WONG, V. – SAUNDERS, J. – ARMSTRONG, G.: Moderní marketing. Praha: Grada Publishing 2007. ISBN 8024715457
[4] BAINES, P. – FILL, C. – PAGE, K.: Marketing. Oxford: Oxford University Press 2011. ISBN 978-0-19-957961-7
[5] BLYTHE, J.: Principles and Practice of Marketing. 2nd Editon. Hampshire: Cengage Learning EMEA 2009. ISBN 978-1-4080-114-78
[6] ARMSTRONG, G. – KOTLER, P.: Marketing: An Introduction. 8th Editon. Upper Saddle River: Pearson Education, Inc. 2007. ISBN 0-13-186591-9 – vybrané kapitoly.
[7] BRASSINGTON, F. – PETTITT, S.: Principles of Marketing. Harlow: Prentice Hall 2006. ISBN 0-273-69559-2
[8] Marketing Science and Inspirations, Marketing&Media.
With regard to new and available resources, supplementary literature will be updated on a continuous basis.
test
40 % interim evaluation:
- active attendance on seminars (in case of unjustified absence or unpreparedness on seminar loss of 10 %)
- interim evaluation (2 written intermediate tests 10 %)
- semester project – application of theoretical knowledge on selected organization – 30 %
60 % final evaluation:
- exam – written test (corrective dates – oral exam)
The overall student rating consists of the sum of the percentages for active attendance on seminars the semester project, and of the percentage obtained from the exam. Exam is written. System of interim evaluation is set on the beginning of semester.
Slovak, English
1. Position and importance of marketing in company development.
2. The nature of the marketing concept.
3. Strategic planning and marketing management.
4. Importance of marketing planning.
5. Marketing environment.
6. Marketing information system and marketing research.
7. Shopping behavior of consumers in organizations.
8. Market segmentation, target group selection and creation of market position.
9. Marketing mix and advanced marketing mix.
10. Product as a marketing mix tool.
11. Pricing and pricing strategy of the company.
12. Distribution channels and physical distribution.
13. Marketing communication and marketing communication mix.
14. International marketing.
40/60
The aim of the course is to acquire the basic knowledge from the various areas of marketing theory. The subject emphasizes the importance and benefits of basic marketing postulates in terms of the interconnection of the organization and its customers. Emphasis is placed on acquiring skills in marketing decision-making and performing individual marketing activities of the organization, especially in strategic and marketing planning, market segmentation and market positioning, marketing research, analysis of marketing environment and consumer and organizational purchasing behavior in designing of marketing mix and in exploitation of international marketing. The subject also emphasizes the impact of the online environment and the selected specifics of digital marketing. In addition to gaining theoretical knowledge, the subject is also aimed at stimulating the students' ability to apply the marketing concept in economic practice.
examination
[1] BARKER, M. – BAKER, D. – BORMANN, N. – NEHER, K.: Social Media Marketing. A
Strategic Approach. South-Western, Cengage Learning, 2013. ISBN 978-1-133-58927-3
[2] BERGER, J.: Jak stvořit pecku na trhu. Brno: Vydavateľstvo Jota, 2013. ISBN:
9788074623318
[3] CATMULL, E. – WALLACE, A.: Creativity, Inc.: Overcoming the Unseen Forces That Stand
in the Way of True Inspiration. New York: Random House, 2014. ISBN 978-0812993011
[4] FREY, P.: Marketingová komunikace. Nové trendy 3.0. Praha: Management Press, 2018.
[5] GODIN, S.: Permission Marketing: Turning Strangers Into Friends & Friends Into Customers.
New York: Simon & Schuster, 1999. ISBN 978-0684856360
[6] HANDLEY, A.: Everybody Writes: Your Go-To Guide to Creating Ridiculously Good
Content. New York: Wiley, 2014. ISBN: 978-1-118-90555-5
[7] HESKOVÁ, M. – ŠTARCHOŇ, P.: Marketingová komunikace a moderní trendy v marketing.
Praha: Oeconomia, 2009. ISBN 978-80-245-1520-5
[8] KOTLER, P. – KARTAJAYA, H. – SETIAWAN, I.: Marketing 4.0: Moving from Traditional
to Digital. Wiley, 2016. ISBN: 978-1-119-34120-8
[9] KOTLER, P. – KELLER, K. L. – BRADY, M. – GOODMAN, M. – HANSEN, T.: Marketing
Management. 2nd edition. Harlow: Pearson Education Limited, 2012. ISBN 978-0-273-7461-3
[10] LEHU, J. M.: Branded Entertainment: Product Placement & Brand Strategy in the
Entertainment Business. London: Kogan Page, 2009. ISBN 978-0749453374
Marketing Science and Inspirations, Trend, Stratégie a ďalšie vybrané zdroje.
60% - active participation in seminars (in case of unjustified absence or unpreparedness
10% loss per seminar), semester project - application of acquired theoretical knowledge to selected
organization - 30%, semester work on a pre-selected and approved topic - 30%, 40% - final
written test via MS Forms.
Weight of the intermediate / final evaluation: 60:40
1. Evolution of marketing thinking, trends and approaches in marketing. Holistic marketing.
2. The impact of new approaches and technologies on partially functional marketing strategies.
3. The importance of information and marketing research in marketing management. Segmentation
market and one-to-one marketing.
4. Changes in customer behavior. Building and managing customer relationships.
5. Franchising.
6. Sponsorship, fundraising and crowdfunding.
7. Marketing communication and media planning.
8. Self marketing.
9. Celebrity and influencer marketing.
10. Marketing on social networks.
11. Business and marketing in the online environment.
12. Proximity marketing, mobile marketing and m-commerce.
13. Product placement.
60/40
The aim of the course is to acquaint students with current trends in marketing, including
through concrete examples from domestic and foreign economic practice in interconnection
for management and business. The graduate of the course is able to identify the most suitable of them
for the needs of their implementation in marketing practice, while respecting the conditions of the Slovak
market environment. At the same time, students will be given the opportunity to apply them through
own projects focused primarily on digital marketing.
To allow students understanding the role of money theoretically , empirically and pragmatically and its function in economy and banking.
Majerčáková Daniela: Peniaze a bankovníctvo, Wolters Kluwer, 2018
Hosp Julian: Cryptocurrencies. Julian Hosp Coaching LTD, 2017
Banking Act no. 483/2001 as amended
Natioanl Bank of Slovakia Act no. 566/1992 as amended
Annual reports of Central Banks
Biatec - mountly journal of Central Bank of Slovakia
test
Continuous assessment: active participation during the classes, preparing and presentation of seminar work, midterm test
Examination: written exam with the possibility of an answer
English
Money and money circulation. Currency. Monetary policy. Financial system. Historical cross-section of banking in Slovakia and worldwide. Specialized non - bank institutions. The position and competence of the central bank. Regulation of the banking sector. Position and main activities of commercial banks. Banking products and their specifics. Connections of the banking market with other components of the developed and developing economy. Specifics of the Eurozone and the European System of Central Banks. Bank marketing. Conventional and unconventional banking markets and systems. Crypto-assets. Banking sector and sustainability.
30/70
The student will get acquainted with the nature, functions and forms of money, as well as with the basics, goals and instruments of monetary policy, tasks and goals of the financial market and forms of the banking system in Slovakia and abroad. After completing the course, the student will be able to integrate Slovakia and the Slovak banking system into the European and global structure and economy, learn the diversity of central and commercial banks, distinguish individual banking products and market laws, as well as unconventional banking markets (Asian markets, closed economies, specifics Islamic banking, crypto-assets markets) and their products.
examination
A. Ralston: A first course in numerical analysis, New York, 1965.
R. L.Burden, J. D. Faires: Numerical Analysis, Cengage Learning, 2010.
G. H. Golub, J. M. Ortega: Scientific Computing and Differential Equations: An Introduction to Numerical Methods, Academic Press, 1992
M. H. Holmes: An Introduction to Numerical Methods in Differential Equations, Springer, 2007
Continuous assessment: active work on lectures 30 points, 2x individual work 20 points each, project 30 points
Final evaluation: 100 - 90 A, 89 - 80 B, 79 - 70 C, 69 - 60 D, 59 - 50 E, less than 50 FX.
Slovak, English
Numerical solution of the Cauchy problem - continuous and discretization methods, one-step and multi-step methods. Methods for solving systems of ordinary differential equations. Implementation of methods in Matlab. Stability of the numerical solution.
100/0
The student will get an overview of the possibilities of solving Cauchy problems for ODR and the processing of these solutions within the MATLAB environment using the procedures built there.
Individual depend on the students need
Completion of an internship in a business entity or other relevant pre-approved entity or organization. Subsequent elaboration and submission of a report on practice with a description of the scope of work, contact to the responsible person together with a confirmation of practice. Presentation of the acquired skills and practical knowledge connected with the previous study in the field. Length of the practice is min. 6 weeks.
Slovak, English (or another language depending on the student's language skills and preferences)
The internship certificate has a uniform form available to every student and employer providing the opportunity for internship students.
At the beginning of the semester, the student chooses from the possibilities of internships with specific employers, offering the possibility of internships related to the study program the Managerial Mathematics. Or the student will find the subject for practice independently with the condition of approval by the guarantor of the study program. The internship and its content should correspond with the student's field of study to such an extent that it is possible to use the acquired knowledge and skills not only to enrich the study, but also in the diploma thesis and to integrate into daily working life.
100/0
The student will gain the opportunity to evaluate the acquired knowledge and skills in real practice from the perspective of the manager at various levels of management directly in practice in a real work environment. By completing this course, the student will become more adaptable in the labor market directly in the real work environment of his field of study.
To give students overview of basic statistical methods.
Anděl J.: Statistické metody, Praha: Matfyzpress, 1988;
Anděl J.: Základy matematické statistiky, Praha: Matfyzpress, 2005;
homeworks
Preliminary semester evaluation: exams (30%), homework (40%);
Examination: test and oral examination (30%);
Approximate grade thresholds: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
Random vectors, their probability distribution and characteristics. Transformation of random vectors. Random sampling, sample mean and dispersion. Random sampling from normal distribution. Point estimate and its properties. Rao - Cramer theorem. The method of maximal likelihood and the moment method. Interval estimate. Statistical hypotheses testing, Neymann - Pearson lemma. Goodness of fit test. Basic regression models.
70/30
To give students overview of basic statistical methods.
examination
Life Insurance Mathematics / Hans U. Gerber. Heidelberg : Springer, 1997, ISBN 978-3-662-03460-6;
Modely v životnom a neživotnom poistení / Rastislav Potocký. Bratislava : STATIS, 2012, ISBN 978-80-85659-71-9;
study materials of the lecturer.
The course assessment consists of one tests (100%), which is usually written during the final weeks of the semester. To successfully complete the course, it is necessary to obtain at least half of the points on the test.
Grade thresholds: A: at least 90.00%; B: 89.99% – 80.00%; C: 79.99% – 70.00%; D: 69.99% – 60.00%; E: 59.99% – 50.00%; Fx: 49.99% – 0.00%.
Slovak, English
Introduction to insurance business. Compounding and discounting. Life tables, biometric (mortality) risk. Life insurance: the deterministic approach and the equivalence principle. Assets and liabilities of the insurance company. Basic and some other types of life insurance: pure endowment, term insurance, endowment, insurance with a fixed-period payout. Whole life insurance, term insurance and deferred insurance. Life annuities: present value of life annuities, annuity-due and immediate annuity, annuities with linearly increasing or linearly decreasing benefits. Temporary and lifetime annuities. Single premium and level premium. Net premium and gross premium. Net premium reserves, expense-loaded premium reserves, gross premium, adequate reserves Calculations of premium reserves in the case of single premium or level premium.
Practical work during semester 100% / final exam 0%.
After completing the course, the student receives an overview of the basics of insurance business, classical life insurance products, net and gross premium calculation and methods of reserving. The student will be able to valuate basic life insurance products.
A Course in Game Theory / Martin J. Osborne, Ariel Rubinstein. Cambridge, Mass. : MIT Press, 1994
Game Theory: An Introduction, Steven Tadelis. Princeton University Press 2013
Continuous assessment: homework, experiment, continuous and final written test
Approximate rating scale: A 100-90%, B 89-80%, C 79-70%, D 69-60%, E 59-50%
Slovak, English
Static games with full information. Dominance. Nash equilibrium. Illustration of Nash Equilibrium (Cournot’s and Bretrand's Oligopoly Model, Electoral Games, Eradication War, Auctions). Nash equilibrium in mixed actions. Extensive games with perfect information. Associated game, Nash's equilibrium. Extensive games with imperfect information.
100/0
The student will be able to correctly analyse strategic situations while being able to make the right decisions.
Basic literature:
[1] FEKETE, Milan and HUĽVEJ, Jaroslav. Operačný manažment a logistika. Bratislava: Kartprint, 2018. ISBN 978-80-89553-59-4.
[2] BURGHART, Stephanie and FEKETE, Milan. Risk management of procurement of the German medium-sized industrial companies with the focus on security of supply. In: KRYVINSKA, Natalia a PONISZEWSKA-MARAŃDA, Aneta (ed.). Developments in information and knowledge management for business applications. Cham: Springer, 2022, pp. 321-359. ISBN 978-3-030-77915-3. https://doi.org/10.1007/978-3-030-77916-0_13.
[3] COLLIER, David A. and EVANS, James R. Operations and supply chain management. 3rd ed. Boston, MA: Cengage Learning, 2024. ISBN 978-0-357-90164-9.
[4] GUPTA, Sunil, IYER, Ravi S. and KUMAR, Sanjeev. Digital twins: Advancements in theory, implementation, and applications. Cham: Springer, 2025. ISBN 978-3-031-76564-3. https://doi.org/10.1007/978-3-031-76564-3.
[5] BHAT K. Shridhara and RAO, Sowmya R. Production and materials management. Mumbai: Himalaya Publishing House, 2024. ISBN 978-93-5273-270-8.
[6] CHRISTOPHER, Martin. Logistics and supply chain management. 6th ed. Harlow: Pearson, 2023. ISBN 978-1-292-41619-9.
[7] Teaching materials distributed during the semester in MS Teams.
Additional literature:
[8] NUNES, Breno; BATISTA, Luciano; MASI, Donato and BENNETT, David. Sustainable operations management: key practices and cases. London: Routledge, 2023. ISBN 978-1-003-00937-5. https://doi.org/10.4324/9781003009375.
[9] RATHI, Rajeev, GARZA-REYES, Jose, KASWAN, Mahender Singh and SINGH, Mahipal (eds.). Lean six sigma 4.0 for operational excellence under the Industry 4.0 transformation. Boca Raton: CRC Press, 2024. ISBN 978-1- 003- 38160-0. https://doi.org/10.1201/9781003381600.
[10] PARIHAR, Rityuj Singh and JAIN, Naveen (eds.). Green manufacturing for Industry 4.0. New York: Routledge, 2024. ISBN 978-1-003-43968-4. https://doi.org/10.4324/9781003439684.
[11] SILVA, Francisco J. G., PEREIRA, António B. and CAMPILHO, Raul D. S. G. (eds.). Flexible automation and intelligent manufacturing: Establishing bridges for more sustainable manufacturing systems. Cham: Springer, 2024. ISBN 978-3-031-38241-3. https://doi.org/10.1007/978-3-031-38241-3.
The homepage of the FMCU library is: https://www.fm.uniba.sk/pracoviska/kniznica-fm-uk/. On this address students can find various bibliography sources. Students can also use other relevant websites like Google Scholar https://scholar.google.com/ which is also recommended.
The evaluation consists of three parts: (1) assignments during the semester 30 %, (2) test during the semester 20 %, (3) final exam 50 %. The overall evaluation is in accordance with the faculty evaluation system: A = 91-100 % excellent, B = 81-90 % very good, C = 73-80 % good, D = 66-72 % satisfactory, E = 65-60 % sufficient, FX = 0-59 %, insufficient.
Slovak, English
The course is provided only in the summer semester. Code of the course in MS Teams: iep8obl.
1. Characteristics of operations management and production system
2. Productivity in operations management
3. Production planning and control with the use of software support
4. Digital production system and digital twin
5. Sustainable production system and circular supply chain
6. Logistics and supply chain management
7. Procurement and purchasing
8. Inventory management
9. Warehousing and warehouse management
10. Logistics transportation systems
50/50
The course provides students of the bachelor's level of study with knowledge in the field of production system management and material flow management, both in manufacturing companies and in service organizations. After successful completion of the course student will be able to:
• Understand the importance and functions of operations management and logistics and explain the basic managerial terms and processes as well as the essence of an efficient production system, also in the context of the current Industry 4.0 concept.
• Apply a systematic and professional approach to improving productivity.
• Understand the functionality and roles of software systems for production and logistics planning and control.
• Understand the core concepts of digital manufacturing and digital twins in production systems.
• Recognize the importance and apply the principles of sustainable manufacturing.
• Understand the principles of sourcing, procurement and purchasing in logistics.
• Analyse, plan, and manage inventory and warehouse systems.
• Know the different freight transportation systems and their fields of application.
• Assess the possibilities of using information and communication technologies in logistics.
To give the students the possibility of reinforce their basic knowledge in the chosen field.
The current textbooks recommended by the course teacher.
graded quizzes
Revision of all basic notions seen in the lecture and going through the most typical situations which the students can meet during the study of the subject. Giving sufficient number of practical exercises for homework and to discuss their solutions when necessary.
100/0
Mathematical analysis.
100-91% A; 90-81% B; 80-71% C; 70-61% D; 60-51% E, 50-0% FX
To give the students the possibility of reinforce their basic knowledge in the chosen field.
The current textbooks recommended by the course teacher.
graded quizzes
Revision of all basic notions seen in the lecture and going through the most typical situations which the students can meet during the study of the subject. Giving sufficient number of practical exercises for homework and to discuss their solutions when necessary.
100/0
Mathematical analysis.
100-91% A; 90-81% B; 80-71% C; 70-61% D; 60-51% E, 50-0% FX
To study affine and metric properties of linear varieties in En. To study theory of the quadratic forms and applications to conics in E2.
Geometria 1: Pre študentov matematiky učiteľského štúdia na univerzitách a
pedagogických fakultách / Milan Hejný, Valent Zaťko, Pavel Kršňák. Slovenské pedagogické nakladateľstvo, 1985
Lineárna algebra a geometria: Cesta z troch rozmerov s presahmi do príbuzných odborov / Pavol Zlatoš. Albert Marenčin, 2011
Linear Algebra and Geometry / Alexei I. Kostrikin, Yu. I. Manin. Gordon and Breach Science Publishers, 1997
1-MMN-120/22 Linear algebra and geometry (1)
test
regular homework
Grading: A 90%, B 80%, C 70%, D 60%, E 50%
slovak
- n-dimensional affine space A^n and Euclidean space E^n;
- coordinate systems;
- affine maps;
- orientation of affine space;
- subspaces / linear varieties in E^n: parametric description and implicit equations, relative positions, distances and angles of some subspaces;
- quadratic forms, canonical form, Lagrange's method, Sylvester's law of inertia;
- application of quadratic forms to the theory of conic sections.
The graduate of the course masters the analytical methods of studying the affine and metric properties of linear geometric objects in E^n, and the theory of quadratic forms and its application to conic sections in E^2.
examination
The current textbooks recommended by the course teacher.
tests
Supplementary course to the lecture Mathematical Analysis (3). Providing a sufficient number of ideas and examples for homework and consultations to solve these tasks.
1. Metric spaces n-dimensional Euclidean space Rn, convergence and Cauchy sequence in Rn, metric spaces, convergence in a metric space, complete metric space, normed space, Banach space, Banach fixed point theorem, topology of metric spaces, compact and convex sets, convex functions 2. Limit and continuity limit and continuity in metric spaces, continuous vector functions, continuity and compactness 3. Differential calculus of functions of several variables partial derivatives, gradient, total differential and differentiability, derivative of a compound function, directional derivative, Taylor theorem and local extrema 4. Implicitly given functions implicit function theorem, constrained extrema, Lagrange multipliers
100/0
Active knowledge of differential calculus of functions of several variables.
Active participation, handover (30), exam (70).
Grades: A (100-91), B (90-81), C (80-71), D (70-61), E (60-51), Fx (50-0).
Part one - Working with a real NAY database in SQL
1. What does a real database look like and what does stored real data look like? (Introduction to SQL. Basic structures. Basic commands (Select, Where, Order By, ...). Data types. Keys.)
2. How to extract the necessary data from the database for further analysis? (Join, Inner Join, Union, ...)
3. How to save hours in demanding databases when downloading and analyzing data in SQL? (Efficient code writing in SQL. Window Function.)
4. Summarizing knowledge (Practicing previous tasks Indexing.)
Part Two - Statistics in R
5. How to use R, one of the most commonly used languages by data analysts (Introduction to R. Library. Variables. Fields. Data Frames. Functions. For cycle. If.)
6. How to perform descriptive and exploratory analysis of the data set? (Basic statistical indicators (mean, variance, quantiles). Graphs (histogram, boxplot).) What is the value of the average cart in the NAY? How many products does it contain? Does the NAY have any wholesale buyers?
7. How to verify and test hypotheses in R (part 1)? (Statistical induction. Testing of statistical hypotheses. Parametric tests.) Is the average purchase rate in NAY Electrode the same in the West and East?
8. How to verify and test hypotheses in R (part 2)? (Statistical induction. Testing of statistical hypotheses. Nonparametric tests.)
9. How do I find out the basic relationships and connections between the variables of a data set? (Correlation and association analysis. Covariance. Correlation and correlation coefficients. Chi-square test, association measures) When a customer pays points, does he buy for more money? The more points a customer has on the NAY card, the more expensive products they buy?
10. How do I find out the relationship between two / more independent / dependent variables of a data set? (F-test, t-test and ANOVA - parametric / non-parametric.) Do customer baskets with a loyalty card contain more expensive products than customer baskets without a loyalty card? Do customers with a higher level of NAY card buy more than customers with a lower level?
11. How do I reveal more complex relationships in the data and make a prediction? (Regression models - linear / logistic. Simple and multiple linear / logistic model. Least squares method.) What does the customer's purchase amount at NAY Elektrodom depend on?
12. How do I identify a trend in the data? (Time series analysis. Decomposition of time series into components. Trend determination.)
Part three - Python
13. How to use the acquired knowledge in the increasingly used Python language?
Part four - Lecture with an attractive guest from practice.
30/70
Business Data Scientist
● Analyzes data using a variety of tools
● Solves problems using modeling techniques
● Designs, builds and maintains data and analytical infrastructure
● Creates sophisticated analytical models
● Derives comprehensive data outputs to inform the client and facilitate his business decision
● Skills: data extraction, data transformation, data retrieval, dynamic data analysis, machine learning, Big Data, SQL, R, Python and many more.
Life Insurance Mathematics / Hans U. Gerber. Heidelberg : Springer, 1997, ISBN 978-3-662-03460-6;
Introduction to Insurance Mathematics / Annamaria Olivieri, Ermanno Pitacco. Cham : Springer, 2015, ISBN: 3319213768;
study materials of the lecturer.
The course assessment consists of one tests (100%), which is usually written during the final weeks of the semester. To successfully complete the course, it is necessary to obtain at least half of the points on the test.
Grade thresholds: A: at least 90.00%; B: 89.99% – 80.00%; C: 79.99% – 70.00%; D: 69.99% – 60.00%; E: 59.99% – 50.00%; Fx: 49.99% – 0.00%.
Slovak, English
General principles of life insurance. Compounding and discounting. Deterministic approach. Net premium principle. Basic insurance products: pure endowment, assurances (whole life insurance, term insurance, deferred insurance), endowment, insurance products with variable sum insured. Annuities (whole life, temporary, deferred, with variable benefits). Net and gross premiums. Policy values, loss function, prospective net premium reserves.
Practical work during semester 100% / final exam 0%.
After completing the course, the student receives an overview of the classical life insurance products, net and gross premium calculations and methods of reserving. The student will be able to valuate basic life insurance products and assess the obtained results.
Active participation in the subject.
Grades: A (100-91), B (90-81), C (80-71), D (70-61), E (60-51), Fx (50-0).
Slovak, English.
Academic ethics. Correct citation and its meaning. The purpose of the bachelor thesis. Independence and work with literature. Text design.
100/0
The student will get acquainted with the rules of writing the final thesis.
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.
Poisťovníctvo a účtovníctvo poisťovní / Jitka Meluchová. Bratislava : Iura Edition, 2004;
Riziko ve financích a pojišťovnictví: Basel III a Solvency II / Tomáš Cipra. Praha : Ekopress, 2015;
Collection of Laws of the Slovak Republic;
EUR-Lex: EU law, the official online database of European Union law;
study materials of the lecturer.
During the semester the student can get 100% points for one written test, which is usually written sometime during the last two weeks of the semester.
Grade thresholds: A: at least 90.00%; B: 89.99% – 80.00%; C: 79.99% – 70.00%; D: 69.99% – 60.00%; E: 59.99% – 50.00%; Fx: 49.99% – 0.00%.
Slovak, English
Basic terms used in the banking and insurance sector. Origin and development of banking and insurance in the world. Commercial banking and insurance market in Slovakia. Acts (in their current and complete wording) regulating the commercial insurance industry in Slovakia: Act on Insurance, Act on Compulsory Contractual Motor Vehicle Third Party Liability Insurance and other laws. Social and pension security in Slovakia. Legal regulations regulating the commercial banking sector in Slovakia in their current and complete wording. Solvency and financial stability of commercial banks and insurance companies in Slovakia and the European Union, the Basel III and Solvency II regulatory frameworks. International Financial Reporting Standards (IFRS) for commercial banks and insurance companies.
Practical work during semester 100% / final exam 0%.
After completing the course, the student will master the history and basic concepts of banking and insurance, as well as some parts of the law governing commercial banking and insurance business in Slovakia.
Matloff N: The art of R programming : A tour of statistical software design, San Francisco, No Starch Press (2011); Filová L: Programovanie v jazyku R, study materials (2021)
Evaluation based on: two tests (test1 40%, test 2 60%, teaching period)
Approximate grade thresholds: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
Working with envoronment and R workspaces, basic operations.
Manipulating variables, vectors, matrices and data frames.
Conditional statements and flow control. Basic programming techniques, writing scripts and functions. Working with data files, elementary statistical operations. Using graphical procedures for data visualization. Basic optimization functions. Creating documents with R markdown.
http://www.iam.fmph.uniba.sk/ospm/Filova/teaching.htm
100/0
Students will learn to work in the R environment, program simple functions and work with data frames.
Pravdepodobnosť a štatistika / Katarína Janková, Andrej Pázman. Bratislava : Univerzita Komenského, 2011
Zbierka úloh zo základov teórie pravdepodobnosti / Radoslav Harman, Erika Hönschová, Ján Somorčík. Bratislava : PACI, 2009
Preliminary evaluation: tests.
Slovak, English
Random vectors and their characteristics. Marginal and conditional distributions. Characteristic functions. Multidimensional normal distribution and its properties. Convergence of the sequence of random variables. Central limit theorem, laws of large numbers. Statistical inference, parameter estimation, maximum likelihood method, statistical hypothesis testing.
100/0
Students will practice working with multidimensional discrete and continuous probability distributions. They will be able to apply the acquired knowledge in solving selected statistical problems.
Pravdepodobnosť a štatistika / Katarína Janková, Andrej Pázman. Bratislava : Univerzita Komenského, 2011
Zbierka úloh zo základov teórie pravdepodobnosti / Radoslav Harman, Erika Hönschová, Ján Somorčík. Bratislava : PACI, 2009
Preliminary evaluation: tests.
Slovak, English
Probability space. Classical probability models and discrete distributions. Random variable and its distribution function. Basic types of discrete and continuous random variables. Expected value and variance. Independence and correlation coefficient. Normal distribution and central limit theorem. Random sample, its mean, sample variance. Random sample from normal distribution. Point estimates of unknown parameters, maximum likelihood estimation. Confidence intervals for the mean of the normal distribution.
100/0
After completing the course, students will be able to solve the problems of one-dimensional discrete and continuous random variables. Furthermore, students will be able to solve some statistical problems.
- 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.
Statistics / David Freedman; Robert Pisani; Roger Purves. New York : W.W. Norton & Company, cop, 2007
Preliminary semester evaluation: exams;
Examination: test and oral examination;
Approximate grade thresholds: A 90%, B 80%, C 70%, D 60%, E 50%
Slovak, English
Basics of working with R - arithmetic, logical operators, cycles, working with graphics. Data import and visualization. Descriptive statistics. Confidence intervals and hypothesis testing (normality, equality of means / medians, correlation coefficients). Linear regression. Chi-square goodness of fit test.
50/50
Graduates of the course will be able to use R software for basic statistical analysis. They will gain experience in working with real data and will be able to apply in practice the statistical methods from which they have become acquainted in theory in the past.