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Mathematical modeling in MS Excel

General data

Course ID: 2400-INTER-MFEX-OG
Erasmus code / ISCED: 14.3 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0311) Economics The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title: Mathematical modeling in MS Excel
Name in Polish: Modelowanie finansowe w programie MS Excel
Organizational unit: Faculty of Economic Sciences
Course groups: General university courses
General university courses in Faculty of Economics
General university courses in the social sciences
On-line general university courses
ECTS credit allocation (and other scores): 3.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.

view allocation of credits
Language: Polish
Type of course:

general courses

Short description:

This course is dedicated to people who want to learn or to systematize knowledge of financial models used in business, as well as people who work a lot in Excel and want to know the use of financial tools in Excel.

Full description:

Detailed list of topics:

• financial mathematics;

• deposits;

• credits;

• evaluation of investment projects;

• investment portfolio management (Markowitz model, model Sharpe);

• investment portfolio management (Value at Risk model CAPM, measures – Jensen’s Alpha, Sharpe, Treynor);

• options pricing models (binomial models Cox-Ross-Rubinstein, Jarrow-Rudd, Black-Scholes model, Monte-Carlo method);

• other financial functions.

Note 1: classes are held in the form of e-learning on the platform: https://moodle.wne.uw.edu.pl (no live classes).

Note 2: The software version in the course is Microsoft Office 2019 or 365 (language version: English, operating system: Windows). Using an earlier version is possible, but it may cause some difficulties. The Polish language version is not a major problem, but the course a different operating system is (e.g. MacOS) due to the limitations of the Office suite (possible lack of necessary software components). The University of Warsaw does not provide participants with the necessary computer hardware or software.

Bibliography:

• Materiały własne;

• Walkenbach J, 2014, Excel 2013 PL. Formuły, Helion, Warszawa;

• Walkenbach J, 2014, Excel 2013. 101 porad i sztuczek które oszczędzą Twój czas, Helion, Warszawa;

• Brand S., 2002, Analiza danych, Wydawnictwo Naukowe PWN, Warszawa;

• Masłowski K., 2004, Excel 2003 PL - 161 praktycznych porad, Helion, Gliwice;

• Jackson M., Staunton M., 2004, Zaawansowane modele finansowe z wykorzystaniem Excela i VBA, Helion, Gliwice;

• Jajuga K., Jajuga T., 2000, Inwestycje. Instrumenty finansowe, ryzyko finansowe, inżynieria finansowa, Wydawnictwo Naukowe PWN, Warszawa;

• red. Szapiro T., 2000, Decyzje menedżerskie z Excelem, Polskie Wydawnictwo Ekonomiczne, Warszawa;

• Podgórska M., Klimkowska J., 2005, Matematyka finansowa, Wydawnictwo Naukowe PWN, Warszawa.

Learning outcomes:

After completing the course the student obtains the ability to financial modeling in Excel, including: financial mathematics, deposits, credits, evaluation of investment projects, investment portfolio management (Markowitz model, model Sharpe), investment portfolio management (Value at Risk model CAPM, measures – Jensen’s Alpha, Sharpe, Treynor), options pricing models (binomial models Cox-Ross-Rubinstein, Jarrow-Rudd, Black-Scholes model, Monte-Carlo method), other financial functions.

Assessment methods and assessment criteria:

The final evaluation consists of:

• Homework (60 pts.): two cumulative homework each scored 30 points.

• Questions and answers on the Discussion Forums: maximum 3 points for each post.

Scoring:

Points Mark

(0-30) 2

(30-36) 3

(36-42) 3,5

(42-48) 4

(48-54) 4,5

(54-60) 5

60+ 5!

Classes in period "Summer semester 2023/24" (in progress)

Time span: 2024-02-19 - 2024-06-16
Selected timetable range:
Navigate to timetable
Type of class:
E-learning course, 30 hours, 25 places more information
Coordinators: Przemysław Kusztelak
Group instructors: Przemysław Kusztelak
Students list: (inaccessible to you)
Examination: Course - Grading
E-learning course - Grading
Course descriptions are protected by copyright.
Copyright by University of Warsaw.
Krakowskie Przedmieście 26/28
00-927 Warszawa
tel: +48 22 55 20 000 https://uw.edu.pl/
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