DEMM – Crash Courses 2018-2019

The Department of Economics, Management and Quantitative Methods (DEMM), offers the following crash courses to catch up with the basic mathematics, statistics and economics principles. Courses are open to all candidates of the international master courses and offered by DEMM.
Please notice that the crash courses do not give any credits therefore they cannot replace the other entry requirements.

In order to register, fill in the online form, available at this link.

Click here to check the complete timetable, with room’s locations and the teachers.

The crash courses will start on August 27th, 2018 and will last for 3 weeks.


Crash course in MATHEMATICS

40 hrs.

Starting date: August 2018

Course description and syllabus

1)          Introductory topics: algebra, equations, miscellaneous.

2)          Functions of one variables and their properties.

3)          Continuity and differentiability

4)          Single-variable optimization

5)          Integration

6)          Matrix and vector algebra. Determinants and inverse matrices.

References

  • Knut Sydsaeter, Peter Hammond, Arne Strom, Essential Mathematics for Economic Analysis, Pearson, ISBN-10: 0273760688 • ISBN-13: 9780273760689, 2012 (Chapters 1-9, 15-16).

 

 

Crash course in STATISTICS

30 hrs.

Starting date: August 2018

 Course description and syllabus

  1. 1.          Review of probability and statistical inference
    1. Basic probability theorems: Central limit theorem, Law of large numbers etc.
    2. Some important discrete and continuous random variables – pdfs and cdfs.
    3. The Bayes rule and elements of Bayesian statistics.
    4. The likelihood function and the MLEs.
    5. Statistical estimation and testing
  2. 2.          Review of linear regression
    1. Simple linear regression.
    2. Multiple linear regression: parameters and OLS estimators.
    3. Multiple linear regression: SE of estimators, CI and testing.
    4. Multiple linear regression:  SER, R2, adjusted R2 and F.
    5. Further topics on linear regression analysis.

References

  • J Stock and M. Watson: “Introduction to Econometrics”, Pearson, 2011.
  • CB Moss: “Mathematical Statistics for Applied Econometrics”, Chapman and Hall/CRC,  2014.

 

 

Crash course in MICROECONOMICS

40 hrs.

Starting date: September 2018

Course description and syllabus

This course focuses on the following topics: basic theory of consumer behaviour; production and costs; decisions under uncertainty;  partial equilibrium analysis: perfect competition, monopoly and oligopoly.

 

The exam consists of a written paper, with theoretical questions as well as exercises.

 

1)   Introduction. Market structure.

2)   Consumer theory. Budget constraint, preferences, utility function, optimal choice, demand

function, price effects, consumer surplus, uncertainty.

3)   Market analysis. Aggregate demand, market equilibrium.

4)   Production theory. Technology, profit maximization and cost minimization, cost functions

and firm supply.

5)      Market structure. Aggregate supply and perfect competition, monopoly, price discrimination, oligopoly.

 

References

  • Hal Varian, “Intermediate Microeconomics – a modern approach”, W. W. Norton & Company, 2009