Quantitive mathods in Management 2600-MSMz1MIZ

Lecture:
I. Models of decision making (3h)
1. Optimization issues in management.
Linear, integer and dynamic problems
2. Project management (web programming)
The CPM critical path method and the PERT method

II. Fundamentals of Econometrics (6h)
4. Statistical data
Types, probabilistic properties, data segmentation, inference
5. Cause-effect relationships and correlation relationships
Methods and interpretations; apparent dependence;
6. The analysis of causal relationships with the use of regression models
a. model building and methods of parameter estimation,
b. inference and interpretation;
c. verification of the model (considerably the assumptions for the NMK).
7. Forecasting with the use of a regression model

Exercises:
Classes will be held in a computer room in the MsExcel, Gretl, Eviews or R environment with the use of examples of empirical analysis of data sets in the field of management:

I. Models of decision making (5h)
1. Optimization issues in management.
Case study: (1) Optimizing the location of objects; (2) The transport issue; (3) The investment portfolio problem; (4) Multi-period production and inventory management
2. Project management
Case study: Time-cost analysis of a defined project

II. Data analysis for management (13h)
3. Statistical data.
Case study: (1) Obtaining statistical data from various available sources; (2) Statistical analysis of data combined with segmentation and inference
4. Cause-effect relationships and correlation relationships
Case study: Defining the problem, obtaining statistical data, analysis of correlation and causality;
5. Analysis of cause-effect relationships with the use of regression models.
Case study :, Building and estimating a regression model, model specification tests
Case study: Relevance testing and interpretation of the regression model;
Case study: Verification of the regression model
6. Forecasting with the use of a regression model
Case study: making forecasts and ex ante accuracy assessment