Elective courses for QEM - masters (grupa przedmiotów zdefiniowana przez Szkoła Główna Handlowa w Warszawie)
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Legenda
Jeśli przedmiot jest prowadzony w danym cyklu dydaktycznym, to w odpowiedniej komórce pojawi się koszyk rejestracyjny. Ikona koszyka zależy od tego, czy możesz się rejestrować na dany przedmiot.
- nie jesteś zalogowany 
- aktualnie nie możesz się rejestrować 
- możesz się zarejestrować 
- możesz się wyrejestrować (lub wycofać prośbę) 
- złożyłeś prośbę o zarejestrowanie (i nie możesz jej już wycofać) 
- jesteś pomyślnie zarejestrowany (i nie możesz się wyrejestrować)
Kliknij na ikonę "i" przy koszyku, aby uzyskać dodatkowe informacje.
20221 - Semestr zimowy 2022/23 20222 - Semestr letni 2022/23 20231 - Semestr zimowy 2023/24 20232 - Semestr letni 2023/24 20241 - Semestr zimowy 2024/25 20241-PRE - Preferencje - Semestr zimowy 2024/25 (zajęcia mogą być semestralne, trymestralne lub roczne) |
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| 20221 | 20222 | 20231 | 20232 | 20241 | 20241-PRE | |||||
| 232401-D |
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Zajęcia przedmiotu
Semestr zimowy 2022/23
Grupy przedmiotu
Skrócony opis
Classes are structured around the fundamental problems of labor economics, from the trade-off between leisure and consumption to the role of technological change. Other key topics include human capital formation, labor demand and remuneration. Besides these main organizing units, classes will include references to transversal topics, such as the role of labor market institutions and policies, and differences along worker?s characteristics. The course provides a formal treatment of labor market problems. Students are expected to be familiar with standard mathematical and statistical tools including: static and dynamic optimization, and fundamental notions of probability calculus and mathematical statistics. This class will consist of three different elements a) Presentation and discussion of theoretical models. b) Empirical verification of proposed mechanisms and its limitations. c) Discussion in classes by students. |
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| 233531-D |
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Zajęcia przedmiotu
Semestr zimowy 2022/23
Grupy przedmiotu
Skrócony opis
(1) S3 framework for object programming (attributes, attributes manipulation, overloading). (2) S4 framework for object programming (class, attributes, methods, generic methods, inheritance). (3) R5 framework for object programming (reference classes, class, attributes, methods, references, inheritance). (4) Practical applications of object oriented programming in R (analysis, methods, data). |
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| 234061-D |
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Zajęcia przedmiotu
Semestr zimowy 2022/23
Grupy przedmiotu
Skrócony opis
Theory of simulation, construction and verification techniques of simulation models. Dynamic stochastic simulation models - discreet event simulation. Sensitivity analysis for output random variables, model optimization techniques. Programming simulation models with Julia using Microsoft Visual Studio Code and Jupyter notebooks. |
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| 220621-D |
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Zajęcia przedmiotu
Semestr zimowy 2022/23
Grupy przedmiotu
Skrócony opis
Presentation of the basic artificial intelligence methods with implementation (in R language) and examples of use. Among the commonly known methods, genetic algorithms, classification trees, random forests, and artificial neural networks are discussed in more detail. Several alternative modelling methods are the basis of student designs. |
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| 237811-D |
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Zajęcia przedmiotu
Semestr zimowy 2022/23
Grupy przedmiotu
Skrócony opis
Basic C++ statements. Control statements and functions. Classes and objects. Input/output operations. Differences between C++ compilers. Graphics mode. C++ libraries which support and automate data processing for economic, business and data analysis purposes. |
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| 220521-D |
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Zajęcia przedmiotu
Semestr zimowy 2022/23
Grupy przedmiotu
Skrócony opis
The course introduces the R programming language. The first lab discusses installing and configuring R and selected editors. The next block of labs introduces basic data structures: vectors and lists, and data structures based on them: matrices, and data frames. The last block of labs introduces basic programming techniques, including conditional execution, looping and mapping, and functions. Some additional packages are also described. |
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| 230201-D |
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Zajęcia przedmiotu
Semestr zimowy 2022/23
Grupy przedmiotu
Skrócony opis
An approach to statistical inference based on the Bayes principle. Prior and posterior distributions. Bayesian estimation. Bayesian confidence intervals and tests. Time series models. Predictive distributions. Model choice. |
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| 223091-D |
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Zajęcia przedmiotu
Semestr zimowy 2022/23
Grupy przedmiotu
Skrócony opis
Within the subject the following topics will be discussed: technological elements of Big Data, data types, Big Data analytics, data streams processing, big data applications, data privacy and ethical issues. |
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| 224391-D |
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Zajęcia przedmiotu
Semestr zimowy 2022/23
Grupy przedmiotu
Skrócony opis
Cloud computing. Infrastructure-as-a-service (IaaS). Platform-as-a-service (PaaS). Collection and data management in the cloud. Relational databases and data warehousing in the cloud. NoSQL databases. Data analytic in the cloud . BigData - Hadoop and Spark int the cloud. Numerical and scientific computing in the cloud - grid computing. Economic fundamentals of cloud computing. Optimizing cloud computing costs. Cloud security. |
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| 223121-D |
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Zajęcia przedmiotu
Semestr zimowy 2022/23
Grupy przedmiotu
Skrócony opis
Classes are focused on teaching students advanced data mining and text mining techniques, including advanced methods of big data analysis. As a result of dynamic development of this interdisciplinary research a lot of effective algorithms were developed allowing automatically discovery of knowledge from databases, including unstructured data available in internet. This knowledge may be used in decision processes in business (including enterprises), science and technology. |
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