Obligatory courses for 3rd grade JSEM (course group defined by Faculty of Mathematics, Informatics, and Mechanics)
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2023Z - Winter semester 2023/24 2023L - Summer semester 2023/24 2024Z - Winter semester 2024/25 (there could be semester, trimester or one-year classes) |
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| 2023Z | 2023L | 2024Z | |||||||
| 2400-PP3RAC |
 
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n/a |
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Classes
Winter semester 2023/24
Groups
- (in Polish) Przedmioty obowiązkowe dla III r. studiów licencjackich - Ekonomia Międzynarodowa (Faculty of Economic Sciences)
- (in Polish) Przedmioty obowiązkowe dla III r. studiów licencjackich - Informatyka i Ekonometria (Faculty of Economic Sciences)
Brief description
The aim of the course is to familiarize students with financial accounting principles, accounting principles and company account plan. During classes, knowledge about accounting methods for measurement, valuation, documentation and accounting in business operations, principles of property, plant and equipment, intangible assets, materials, goods, finished products, cash, public and legal settlements, settlements with suppliers and recipients, employees, revenues and costs, reserves and equity. Classes include the concept, form and content of accounting reports - balance sheet, profit and loss account and cash flow. The result of the course is the acquisition by students of knowledge enabling the use of the most important concepts in the field of financial accounting. The method of conducting classes combines elements of lecture and problem solving. The condition for passing the subject is passing the final colloquium. Subject for third year students. |
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| 1000-134FAN |
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n/a |
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Classes
Winter semester 2023/24
Groups
Brief description
Basic properties of analytic functions of one complex variable. A beautiful part of analysis with many applications all throughout mathematics. |
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| 2400-PP3EKOb |
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n/a |
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Classes
Winter semester 2023/24
Groups
Brief description
(in Polish) Celem wykładu i ćwiczenia z ekonometrii mają zapoznać studentów z technikami ekonometrycznymi, ich własnościami statystycznymi i najważniejszymi zastosowaniami. Podstawowym celem wykładów jest zapoznanie studentów z teorią ekonometrii. Wykłady ilustrowane będą prostymi przykładami empirycznymi. Bardziej rozbudowane przykłady empiryczne omawiane będą podczas ćwiczeń.Omawiana będzie problematyka estymacji w ramach Klasycznego Modelu Regresji Liniowej z wykorzystaniem Metody Najmniejszych Kwadratów. Pierwsza część kursu (6 wykładów) poświęcona zostanie na przedstawienie modelu, jego założeń i sposobu szacowania jego parametrów oraz interpretacji. W drugiej części (9 wykładów) studenci zostaną zapoznani ze sposobami testowania hipotez, diagnostyki modelu i konsekwencjami braku spełnienia poszczególnych założeń. Po pierwszym semestrze student powinien potrafić prawidłowo przebadać związki między zmiennymi w próbie przekrojowej oraz zinterpretować wyniki prostego badania statystycznego. |
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| 2400-IiE2MU | n/a |
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n/a |
Classes
Summer semester 2023/24
Groups
Brief description
The aim of the lecture is to present basic insurance risk models that are used for calculation of premiums (mainly) and reserves (brief overview). First part of the lecture concerns short term approach that is commonly used in non-life insurance. Pricing risk at the level of the whole portfolio of an insurance company as well as pricing individual risks is considered. Risk sharing (between an individual, insurer and/or reinsurer) issues are considered in the context of utility theory. Short overview of reserves is then presented, including outstanding claims reserve and the Chain-Ladder method. Second part of the lecture concerns long term approach (including the time value of money) that is commonly used in life insurance. This part covers basic mathematics for finance and for life insurance. Survival models (single lives), life insurance, life annuities, premium calculations, benefit reserves are considered. Continuous and discrete models are presented. |
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| 1000-135RP2 |
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n/a |
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Classes
Winter semester 2023/24
Groups
Brief description
The course contains an introduction to the convergence theory for probability distributions (equivalence of various definitions, Central Limit Theorem) and to applications of harmonical analysis in the theory (properties of characteristic functions). Moreover, some elements of martingale theory and Markov chains will be discussed. |
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| 1000-115ST |
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n/a |
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Classes
Winter semester 2023/24
Groups
Brief description
The aim of the course is to present fundamental concepts and methods of statistics. The course covers: population characteristics and their sample counterparts, stucture of statistical models from frequentist and Bayesian perspectives, problems of parametric and nonparametric estimation, testing statistical hypotheses, regression, classification/discriminant analysis. |
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| 2400-IiE3ASC | n/a |
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n/a |
Classes
Summer semester 2023/24
Groups
Brief description
The course will be divided into a theoretical and a practical part. During the course, participants will learn about the basic concepts and tools used in the analysis and forecasting of time series. The aim of the next part of the course is to provide students with practical skills needed to independently conduct an econometric study: preparation of time series data, model estimation and verification, diagnostic tests and finally forecasting. Under the guidance of the tutors students will solve problems and sample tasks on their own. Grading is based on a written assignment in the form of a model and on a written exam. |
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