Elective courses for QEM - masters (grupa przedmiotów zdefiniowana przez Szkoła Główna Handlowa w Warszawie)
|
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.
20211 - Semestr zimowy 2021/22 20212 - Semestr letni 2021/22 20221 - Semestr zimowy 2022/23 20222 - Semestr letni 2022/23 20231 - Semestr zimowy 2023/24 20232 - Semestr letni 2023/24 20231-PRE - Preferencje - Semestr zimowy 2023/24 (zajęcia mogą być semestralne, trymestralne lub roczne) |
Opcje | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 20211 | 20212 | 20221 | 20222 | 20231 | 20232 | 20231-PRE | |||||
| 232401-D |
|
brak | brak |
 
|
|
|
|
|
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. |
|
|
| 233531-D |
Advanced R Programming (od 2023-10-01)
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
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). |
|
|
| 234061-D |
Advanced Simulation Modelling (od 2023-10-01)
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
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. Advanced Ms Excel's functions and simulation model programming with Python. |
|
|
| 220621-D |
Artificial Intelligence (od 2023-10-01)
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
- (od 2023-10-01) Przedmioty kierunkowe do wyboru SMMD-MIS
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. |
|
|
| 237811-D |
Basic C++ programming (od 2023-10-01)
|
brak | brak |
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2022/23
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
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. |
|
|
| 220521-D |
Basic R Programming (od 2023-10-01)
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
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. |
|
|
| 230201-D |
Bayesian Econometrics (od 2023-10-01)
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
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. |
|
|
| 223091-D |
Big Data (od 2023-10-01)
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
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. |
|
|
| 224391-D |
Cloud Computing (od 2023-10-01)
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
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. |
|
|
| 223121-D |
Data Mining (od 2023-10-01)
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
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. |
|
|
| 236481-D |
Database Application Building. PL/SQL language (od 2023-10-01)
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
Skrócony opis
Introduction to PL/SQL, which is a procedural complement to SQL in Oracle ORDBMS. Please be informed that SQL basics required |
|
|
| 231231-D |
Derivatives Market (od 2023-10-01)
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
Skrócony opis
In the last several years an unprecedented development of derivatives market has been observed. Globalization of financial markets facilitated by the processes of deregulation and liberalization of national markets has been an enormous opportunity for the development of traditional and new derivatives. They are used for several purposes, but foremost for speculating and hedging on financial markets... |
|
|
| 222121-D |
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
Skrócony opis
See semester study programme. |
|
|
| 222991-D |
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
Skrócony opis
See semester study programme. |
|
|
| 222041-D |
Financial Econometrics I ( FAP, CIMA) (od 2023-10-01)
|
|
|
|
|
|
|
brak |
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
Skrócony opis
See semester study programme. |
|
|
| 233181-D |
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
Skrócony opis
See semestral plan |
|
|
| 235221-D |
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
Skrócony opis
The main objectives of the course: - show actual problems and methods of risk management, - provide a methodology for dealing with currency risk, interest rate risk, credit risk and operational risk, - provide students with a good understanding of derivatives (forwards, futures, options and swaps), - show a methodology of pricing and valuation of derivatives, - provide students with techniques and methodologies that are commonly used in risk management. |
|
|
| 233461-D |
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
Skrócony opis
See semester study programme. |
|
|
| 231571-D |
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
Skrócony opis
Growth empirics. Exogenous growth models. First generation endogenous growth models. R&D-based models. Scale effects. Technology diffusion. Appropriate technology. Poverty traps. Topics in development economics. |
|
|
| 231271-D |
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
Skrócony opis
We discuss basic models of oligopoly and their application to clarify issues related to the classic strategic problems of firms as collusion, mergers, investments, pricing strategies, and product differentiation. |
|
|
| 222111-D |
Labour Economics (od 2023-10-01)
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
Skrócony opis
See semester study programme. |
|
|
| 234891-D |
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
Skrócony opis
Recursive approach to dynamic economic models. Global vs local solutions. Curse of dimensionality. Value function iteration. Policy function iteration. Overlapping generations models. Discretization of continuous processes. Models with uninsured idiosyncratic risk. Perturbation techniques. |
|
|
| 231291-D |
|
brak | brak |
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2022/23
Grupy przedmiotu
Skrócony opis
Topics covered during the course "Macroeconomics and household heterogeneity" pertain to macroeconomic models which depart from the assumption about representative agent and, as such, are well-suited for studying redistributional effects of various economic processes. This class of models has recently become an important workhorse of the economic policy analysis. Course will cover both the theory underlying those models and their numerical implementation. |
|
|
| 220341-D |
Microeconometrics (od 2023-10-01)
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
Skrócony opis
see: detailed schedule of classes |
|
|
| 234881-D |
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
Skrócony opis
We will introduce standard models used at central banks and academia to study business cycle dynamics and monetary policy issues. First, standard ways of introducing money into general equilibrium models will be studied. Next, the sticky price new Keynesian model will be introduced. Apart from learning their features the models will be used to study most important issues in monetary economics, e.g. the optimal rate of inflation or the zero lower bound problem. |
|
|
| 236811-D |
Numerical Methods (od 2023-10-01)
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
Skrócony opis
Introduction to numerical analysis. Programming in Matlab and Octave. Examples of the application of numerical methods in artificial intelligence and various areas of science. Direct and iterative methods of solving systems of linear equations. Solving nonlinear equations. Newton's method. Monte Carlo methods. Recursion. |
|
|
| 222131-D |
Public Sector Economics (od 2023-10-01)
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
Skrócony opis
1. Introduction to the scope of PSE; 2. Fundamentals of welfare economics: - market efficiency & failures - efficiency & equity 4. Public expenduture theory - public gooods; - public choice; 5. Public expenditure growth 6. Expenditure programs: health care & social insurance 7. Budgets bureaucrats and efficiency; 8. Project appraisal; 9. Partial and general equilibrium analysis of taxation 10. Tax incidence, taxation and efficiency, optimal taxation |
|
|
| 223101-D |
Querrying, Data Presentation, Data Visualisation and Reporting (od 2023-10-01)
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
Skrócony opis
Within the subject the following topics will be discussed: methods of data visualisation, visualisation tools, visual data exploration, visualisation of spatial data, building interactive visualisations. Subject contains lectures and practical exercises concerning visual data exploration and building different kind of visualisations. |
|
|
| 222891-D |
Real-Time Analytics (od 2023-10-01)
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
Skrócony opis
1. Modelling, learning and prediction in batch mode (offline learning) and incremental (online learning) modes. Problems of incremental machine learning. 2. Data processing models in Big Data. From flat files to Data Lake. Real-time data myth and facts 3. NRT systems (near real-time systems), data acquisition, streaming and analytics. 4. Algorithms for estimating model parameters in incremental mode. Stochastic Gradient Descent 5. Modern streaming application architectures 6. Preparation of the microservice with the ML model for prediction use. 7. Processing structured and unstructured data in Python. Function and Object-oriented connection to RDB and NoSQL 8. Aggregations and reporting in NoSQL databases (MongoDB) 9. Basics of object-oriented programming in Python in linear and logistic regression, neural network analysis using the sklearn, TensorFlow and Keras. 10. IT streaming architecture. Apache Spark and Jupyter notebook environment using docker tool. Analysis of data |
|
|
| 230891-D |
Spatial Econometrics (od 2023-10-01)
|
|
|
|
|
|
|
|
Zajęcia przedmiotu
Semestr zimowy 2021/22
Grupy przedmiotu
- (od 2023-10-01) Elective courses for QEM - masters
Skrócony opis
The methods of spatial econometrics allow to take account of interactions between investigated units in the modeling, i.e. remove the assumption of observational independence. The underlying concepts of this functional subdiscipline of econometrics will be presented: spatial weight matrices, testing of spatial effects, model specifications and consistent estimation methods, as well as spatial multipliers and some special models. The classes in computer laboratory will Focus on visualisation in maps and working with the models in consideration in the {spdep} package in R. |
|
|
