Double Degree Program in Economics and Mathematics (first cycle) (S1-EK-MSEM)(in Polish: Ekonomia, specjalność międzykierunkowe studia ekonomiczno-matematyczne, stacjonarne, pierwszego stopnia) | |
first cycle programme full-time, 3-year studies Language: Polish | Jump to: Opis ogólny
No description for the programme.
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Qualification awarded:
Access to further studies:
Learning outcomes
Learning outcomes
On completing this curriculum the student:
• understands the role and significance of proof in mathematics, as well as the importance of assumptions
• can present correct and comprehensive mathematical reasoning, formulate theorems and provide definitions, both verbally and in writing
• knows basic theorems concerning acknowledged areas of mathematics
• can illustrate mathematical concepts with proper examples, as well as prove hypotheses or incorrect reasoning wrong
• is able to analyze basic economic problems
• acquires the ability to choose relevant instruments and appropriate macroeconomic theories in order to solve real problems in a macroeconomic scale. In addition, the graduate can predict the outcomes of macroeconomic phenomena for households and firms, as well as understand reasons and results provided by complexity of macroeconomic theory
• can apply basic econometric instruments in a study of his/her own, prepare empiric material, formulate scientific hypotheses, evaluate a proper model and interpret the outcomes
• can analyze typical microeconomic models for varying market structures, find partial and general equilibriums, characterize the impact of externalities. The graduate can use concepts such as consumers’ surplus, producers’ surplus, economic surplus to analyze markets’ efficiency and economic policies. The graduate can analyze problems concerning public goods and choose mechanisms providing the optimal supply. The graduate has the ability to find optimal contracts in simple problems regarding information asymmetry, optimize sanctions and incentives conceived in legal system
• is aware of the complexity of insurance issues, manifests willingness to broaden his/her skills with available scientific literature, noticing boundedness of acknowledged calculation methods
• can take on vocational actions individually or in a group, being able to communicate efficiently. The graduate can identify professional problems at work and assess his/her competence in solving them
Course structure diagram:
| Abbreviations used in tables: | |
lect - Lecture cl - Class kon - Seminar kint - E-learning course | c - Pass/fail e - Examination g - Grading |
| First year, MSEM | ECTS | lect | cl | kon | kint | exam |
|---|---|---|---|---|---|---|
| Workplace health and safety | 0.5 | 4 | c | |||
| 8.5 | 30 | 60 | g | |||
| Mathematical analysis I.1 | 10 | 60 | 60 | g | ||
| Introduction to computer science I | 5.5 | 30 | 30 | g | ||
| Mathematical analysis I.2 | 10 | 60 | 60 | e | ||
| Intellectual property rights - basic course | 0.5 | 4 | c | |||
| Macroeconomics I | 5 | 30 | 30 | e | ||
| Microeconomics I | 4 | 30 | 30 | e | ||
| Microeconomics II | 6 | 30 | 30 | e | ||
| IT Tools in Economics | 3 | 30 | g | |||
| Introduction to Economics | 3 | 30 | g | |||
| 4 | ||||||
| Total: | 60 | 304 | 300 | 30 | 4 |