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English-language course offering of the Faculty of Economics (course group defined by Faculty of Economic Sciences)

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Course group: English-language course offering of the Faculty of Economics
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2024Z - Winter semester 2024/25
2024L - Summer semester 2024/25
2025Z - Winter semester 2025/26
(there could be semester, trimester or one-year classes)
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2024Z 2024L 2025Z
2400-QFU1AAIS
n/a

Classes
Winter semester 2024/25
  • Seminar - 30 hours
Winter semester 2025/26
  • Seminar - 30 hours
Groups

Brief description
No brief description found, go to course home page to get more information.
Course page
2400-ZEWW846
n/a n/a
Classes
Winter semester 2024/25
  • E-learning course - 40 hours
Groups

Brief description

(in Polish) Kurs przygotowany przez Google prowadzony jest w pełni online za pośrednictwem platformy QWIKLABS. Kurs składa się z 3 obowiązkowych modułów i 4 dodatkowych modułów, których ukończenie nie jest konieczne do uzyskania zaliczenia. W każdym module dostępne są materiały wideo, interaktywne ćwiczenia oraz quiz sprawdzający wiedzę. W trakcie kursu studentów wspiera wykładowca z UW oraz dział techniczny Google. Szacowany nakład pracy potrzebny do ukończenia obowiązkowych modułów to ok. 40 godzin. Kurs przeznaczony jest dla osób, które ukończyły kurs From Data to Insights będący wprowadzeniem do narzędzi Google Cloud Platform.

Course page
2400-ENSM074A n/a n/a
Classes
Summer semester 2024/25
  • Second cycle diploma seminar - 30 hours
Groups

Brief description

Global financial crisis, economic inequalities, economic development, social policy, public support for private firms or consequences of breaking the law? Those are just examples of issues related to institutions (i.a. economic, political, cultural). The research perspective of institutional economics may be successfully applied towards analyzes of various social and economic problems. During the seminars selected theories and apparatus is discussed with a focus on their research usage. The goal of the seminar is to deliver adequate economic underpinnings that are necessary for students to run their independent research within the field of institutional economics. Theses may be prepared in English as well. Dissertations may be of quantitative or qualitative character.

Course page
2400-ENSM074B n/a

Classes
Winter semester 2024/25
  • Second cycle diploma seminar - 30 hours
Winter semester 2025/26
  • Second cycle diploma seminar - 30 hours
Groups

Brief description

Global financial crisis, economic inequalities, economic development, social policy, public support for private firms or consequences of breaking the law? Those are just examples of issues related to institutions (i.a. economic, political, cultural). The research perspective of institutional economics may be successfully applied towards analyzes of various social and economic problems. During the seminars selected theories and apparatus is discussed with a focus on their research usage. The goal of the seminar is to deliver adequate economic underpinnings that are necessary for students to run their independent research within the field of institutional economics. Theses may be prepared in English as well. Dissertations may be of quantitative or qualitative character.

Course page
2400-ENSM074C n/a n/a
Classes
Summer semester 2024/25
  • Second cycle diploma seminar - 30 hours
Groups

Brief description

Global financial crisis, economic inequalities, economic development, social policy, public support for private firms or consequences of breaking the law? Those are just examples of issues related to institutions (i.a. economic, political, cultural). The research perspective of institutional economics may be successfully applied towards analyzes of various social and economic problems. During the seminars selected theories and apparatus is discussed with a focus on their research usage. The goal of the seminar is to deliver adequate economic underpinnings that are necessary for students to run their independent research within the field of institutional economics. Theses may be prepared in English as well. Dissertations may be of quantitative or qualitative character.

Course page
2400-PP3RACa n/a

Classes
Winter semester 2024/25
  • Seminar - 30 hours
Winter semester 2025/26
  • Seminar - 30 hours
Groups

Brief description

Bachelor level.

The purpose of the course is to acquaint students with regulatory framework and accountancy rules, financial accounting systems, which is a logical, complete and compact system, describing assets , sources of their financing, business activities, company chart of accounts, valuation methods, the analysis and interpretation of particular components of assets, liabilities, incomes and costs, methods of keeping a record of fixed assets, intangible assets, materials, wares, final products, cash, money on bank account, settlements of accounts with state budget, suppliers and buyers, workers - payroll and business trips, incomes and costs, basis and reserve capitals. Lectures deal with conception, form and content of accounting reports - balance sheet, profit and loss statement and cash flow statement. The course is assigned for students on the third year on the first level. Assessment based in 30% on work in groups and in 70% on written exam contained test and tasks.]

Course page
2400-DS1AE n/a n/a
Classes
Summer semester 2024/25
  • Classes - 30 hours
  • Lecture - 30 hours
Groups

Brief description

The lecture and exercises on econometrics are to familiarize students with advanced econometric techniques, their properties and the most important applications.

The lecture concerns: models estimated on the time series and panels as well as the applications of the MLE and GMM estimators.

The lecture is intended for students of the Data Science programme.

The lecture uses concepts in the field of linear algebra, mathematical analysis, probability calculus, descriptive and mathematical statistics and basic econometrics.

Course page
2400-QFU2AMA n/a

Classes
Winter semester 2024/25
  • Lecture - 30 hours
Winter semester 2025/26
  • Lecture - 30 hours
Groups

Brief description

The aim of this 30-hours lecture is to present modern macroeconomic methods and models used both by researchers and analysts to understand and predict macroeconomic phenomena. Upon completion students will be able to use acquired tools to explain and interpret the workings of the macroeconomy at an advanced level.

The course is composed of three parts. The first part is devoted to the microfoundations of modern macroeconomic models. The second part covers core growth facts and theories. The third part is devoted to analyzing and modeling business cycles phenomena

Course page
2400-ICU1AMA n/a n/a
Classes
Summer semester 2024/25
  • Classes - 15 hours
  • Lecture - 60 hours
Groups

Brief description

Master's level course.

The aim of this course is to present modern macroeconomic methods and models used both by researchers and analysts to understand and predict macroeconomic phenomena. Upon completion students will be able to use acquired tools to explain and interpret the workings of the macroeconomy at an advanced level.

The course is composed of three parts. The first part is devoted to the microfoundations of modern macroeconomic models. The second part covers core growth facts and theories. The third part is devoted to analyzing and modeling business cycles phenomena and labor market issues.

Evaluation is based on closed book mid-term exam and final exam. Students can earn additional points by completing homework assignments.

Course page
2400-ICU1AMI n/a

Classes
Winter semester 2024/25
  • Classes - 15 hours
  • Lecture - 30 hours
Winter semester 2025/26
  • Classes - 15 hours
  • Lecture - 30 hours
Groups

Brief description
No brief description found, go to course home page to get more information.
Course page
2400-ICU1AMIa n/a

Classes
Winter semester 2024/25
  • Classes - 15 hours
  • Lecture - 30 hours
Winter semester 2025/26
  • Classes - 15 hours
  • Lecture - 30 hours
Groups

Brief description

The course introduces students to important topics in advanced microeconomics. The course covers production and consumption theory concepts in order to provide a coherent picture for the general equilibrium framework.

Completing the course requires passing the mid-term and final exam as well as a computer lab.

Course page
2400-DS1APR n/a n/a
Classes
Summer semester 2024/25
  • Seminar - 30 hours
Groups

Brief description

The aim of the course is to teach advanced programming methods in R, create complex scripts / programs, and evaluate their time complexity, as well as create own functions and packages. Firstly, the functions of the dplyr package will be presented to effectively aggregate and analyze data in subgroups, and use pipe operator %>% for a more readable code representation of several nested commands. Then the main focus will be on the automation of repetitive activities. In this context, while and for loops will be discussed, as well as the alternative R functions of the apply family. Also, elements will be introduced to conditionally execute program fragments and run code in batch mode. We will also discuss creating own functions and packages. An important part of the course will be showing tools for analyzing the code, evaluating its time effectiveness, and identifying and handling errors. The use of C ++ basics in R (Rcpp package) will also be discussed for example to replace slow R loops

Course page
2400-DS2AV n/a

Classes
Winter semester 2024/25
  • Seminar - 30 hours
Winter semester 2025/26
  • Seminar - 30 hours
Groups

Brief description

The aim of the course is to teach advanced visualisation methods in R for design adequate and publication ready graphs. For this purpose ggplot2 package will be presented thoroughly from the basics to the advanced applications. Participants will learn about syntax rules of ggplot2, different geometries (e.g. geom_line, geom_point, geom_bar), editing each of the element of the graph (theme, scale functions). Finally the overview of advanced type of graphs will be presented including maps and 2 dimensional distribution. During the semester interactive graphs in various packages will be discussed. An important part of the course will be showing how to use R packages for data visualisation effectively.

Course page
2400-DS1AL n/a n/a
Classes
Summer semester 2024/25
  • Classes - 15 hours
  • Lecture - 30 hours
Groups

Brief description

The objective of this course is to teach the students basic algorithms and data structures. In each topic, the students will learn the underlying theory as well as the application of the concepts in commonly used programming languages (C++, Python).

The final grading is based on grades from programming tasks, short tests, and the written exam.

Course page
2400-DS2AF n/a

Classes
Winter semester 2024/25
  • Classes - 15 hours
  • Lecture - 30 hours
Winter semester 2025/26
  • Classes - 15 hours
  • Lecture - 30 hours
Groups

Brief description

Applied Finance course consists of a 30 hour lecture and 15 hour lab. It’s a patchwork course conducted by several lecturers and is covering different current topics in the area such as machine learning and statistical tools in algorithmic trading, path dependent option pricing, linear factor models, risk modelling in financial institutions, financial management and capital structure. The details may vary year to year depending on the professors invited to give lectures

Course page
2400-DS1AMA n/a

Classes
Winter semester 2024/25
  • Classes - 15 hours
  • Lecture - 30 hours
Winter semester 2025/26
  • Classes - 15 hours
  • Lecture - 30 hours
Groups

Brief description

The aim of this 45-hours lecture is to present modern macroeconomic methods and models used both by researchers and analysts to understand and predict macroeconomic phenomena. Upon completion students will be able to use acquired tools to explain and interpret the workings of the macroeconomy at an advanced level.

The course is composed of three parts. The first part is devoted to static (intersectoral) general equilibrium analysis. The second part covers core growth facts and theories. The third part is devoted to analyzing and modeling business cycles phenomena.

Course page
2400-DS1AMI n/a

Classes
Winter semester 2024/25
  • Lecture - 45 hours
Winter semester 2025/26
  • Lecture - 45 hours
Groups

Brief description

The aim of this course is to present a new approach to microeconomics analysis, which is based on experimental and computational methods.

Course page
2400-ENSM095A n/a n/a
Classes
Summer semester 2024/25
  • Second cycle diploma seminar - 30 hours
Groups

Brief description
No brief description found, go to course home page to get more information.
Course page
2400-ENSM095B n/a

Classes
Winter semester 2024/25
  • Second cycle diploma seminar - 30 hours
Winter semester 2025/26
  • Second cycle diploma seminar - 30 hours
Groups

Brief description
No brief description found, go to course home page to get more information.
Course page
2400-ENSM095C n/a n/a
Classes
Summer semester 2024/25
  • Second cycle diploma seminar - 30 hours
Groups

Brief description
No brief description found, go to course home page to get more information.
Course page
2400-FIM3BA n/a n/a
Classes
Summer semester 2024/25
  • Lecture - 30 hours
Groups

Brief description

The primary mission of this course is to provide an understanding of the commercial bank management. We will talk on

daily problems and issues that management have to deal with and the tools needed to effectively struggle with them.

The course begins with the illustration how critical commercial banking are to the functioning of the economy and how

those it reflects our standard of living with special attention on specificity of banking industry.

Next, the services banks offer, how banks are organized and structured will be presented with special attention to the

principal laws and regulations governing the industry. Also, how to analyze banks’ financial statements and evaluate bank

performance.Students will be introduced to the topic of asset-liability management and with bank’s exposure to different

risks The liquidity problems banks must deal with as they manage their cash position will be presented.

Course page
2400-DS2BDA n/a

Classes
Winter semester 2024/25
  • Lab - 15 hours
Winter semester 2025/26
  • Lab - 15 hours
Groups

Brief description

The laboratory gives practical experience in using Hadoop ecosystem technologies for Big Data Analytics. Participants will learn how to apply data analysis and machine learning techniques they have learned in previous courses to Big Data datasets. Student will not learn new techniques. The course will be focused on practical experience and understanding concepts behind used technologies.

Course page
2400-ZEWW906 n/a

Classes
Winter semester 2024/25
  • Seminar - 30 hours
Winter semester 2025/26
  • Seminar - 30 hours
Groups

Brief description
No brief description found, go to course home page to get more information.
Course page
2400-QFU2C1 n/a

Classes
Winter semester 2024/25
  • Classes - 30 hours
Winter semester 2025/26
  • Classes - 30 hours
Groups

Brief description

The course is designed as a gentle introduction to C++ programming language and the world of object-oriented programming to students in Quantitative Finance. Special emphasis is put on the problem of derivatives valuation. No programming experience is required in order to follow this course. The course has been structured in a way that let students learn C++ from the ground up. The course deals with the essential topics that are needed before progressing to more advanced applications in quantitative finance

Course page
2400-QFU2C2 n/a n/a
Classes
Summer semester 2024/25
  • Seminar - 30 hours
Groups

Brief description

The course is a continuation of its 1st part. It provides more advanced elements of object-oriented programming. Practical examples of using Monte-Carlo simulations in valuations of exotic derivatives are presented. Also students will learn how to integrate C++ with MS Excel and R language.

Course page
2400-ENSM069A n/a n/a
Classes
Summer semester 2024/25
  • Second cycle diploma seminar - 30 hours
Groups

Brief description

The goal of this seminar is to equipped students with skills needed for preparation of master’s thesis. During this seminar students will be instructed how to find the subject of dissertation and how to work on such problem following methodological and formal requirements

Course page
2400-ENSM069B n/a

Classes
Winter semester 2024/25
  • Second cycle diploma seminar - 30 hours
Winter semester 2025/26
  • Second cycle diploma seminar - 30 hours
Groups

Brief description

The goal of this seminar is to equipped students with skills needed for preparation of master’s thesis. During this seminar students will be instructed how to find the subject of dissertation and how to work on such problem following methodological and formal requirements

Course page
2400-ENSM069C n/a n/a
Classes
Summer semester 2024/25
  • Second cycle diploma seminar - 30 hours
Groups

Brief description

The goal of this seminar is to equipped students with skills needed for preparation of master’s thesis. During this seminar students will be instructed how to find the subject of dissertation and how to work on such problem following methodological and formal requirements

Course page
2400-DS1CA n/a

Classes
Winter semester 2024/25
  • Seminar - 30 hours
Winter semester 2025/26
  • Seminar - 30 hours
Groups

Brief description
No brief description found, go to course home page to get more information.
Course page
2400-ZEWW752 n/a n/a
Classes
Summer semester 2024/25
  • Seminar - 30 hours
Groups

Brief description

The course gives both theoretical knowledge and practical skills to model a credit scorecard. During the course all necessary steps to develop a scorecard would be discussed and presented. Starting from data preparation (handling a missing data and outliers, derived variables preparation, data sampling), going through model estimation (i.e. logistic regression) and model quality assessment (discriminatory power, stability) and ending on optimal cut-off choice.

During the course examples would be presented in R.

Course page
ul. Długa 44/50
00-241 Warszawa
tel: +48 22 55 49 126 https://www.wne.uw.edu.pl/
contact accessibility statement site map USOSweb 7.1.2.0-7 (2025-06-25)