School of Business and Economics
Business Analysis
Full course description
This course deals with a toolbox from econometrics and applied operations research. Particularly, the following quantitative methods are extensively discussed:
- Forecasting
- Regression analysis
- Time series
- Linear programming
- Integer linear programming
- Simulations
- Multiobjective optimization
Besides, students learn how to read manuscripts on the level of current scientific standards, and give presentations using the advanced quantitative reasoning in managerial decision making.
Course objectives
Knowledge of crucial theoretical tools for analysing the data and managerial decision making. Ability to translate a verbal fuzzy description of a business problem into the mathematical model.
Prerequisites
Moderate mathematical and statistical skills and ability to understand quantitative models and concepts.
An advanced level of English.
Recommended reading
- J.E. Hanke and D.W. Wichern, Business forecasting, International Edition, Pearson Education.
- C.T. Ragsdale, Managerial Decision Modeling, Thomson South-Western.
- Research papers.
EBC4104
Period 1
2 Sep 2019
25 Oct 2019
Period 4
3 Feb 2020
3 Apr 2020
ECTS credits:
6.5Instruction language:
EnglishCoordinators:
Teaching methods:
PBL, Presentation(s), Assignment(s), Paper(s), Work in subgroups, ResearchAssessment methods:
Participation, Written exam, Assignment