Crash courses

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 admitted students of the international master courses and offered by DEMM.

However, the attendance is recommended to all students (n.b: crash courses are only for admitted students).

Please notice that the crash courses do not give any credits therefore they cannot replace the other entry requirements.

Timetable and rooms 2020/21

The crash courses will start on August 26th, 2020 and will be held in distance.

Crash courses programs

Teacher: Thierry Nieus
40 hrs.
Starting date: August 26th, 2020
Teaching mode: in distance with ZOOM, lessons will also be recorded

Course description and syllabus
1. Real functions of one and two variables
2. Derivatives
3. Partial derivatives
4. Integrals
5. Vectors and matrices
6. Operations between matrices
7. Determinants
8. Eigenvalues and eigenvectors

Teacher: Thierry Nieus
30 hrs.
Starting date: August 31st, 2020
Teaching mode: in distance with ZOOM, lessons will also be recorded

Course description and syllabus

  • Revision of probability 
  • Probability Theorems (Central limit theorem, Law of large numbers etc.)
  • Random Variables 
    • Binomial distribution 
    • Poisson distribution
    • Normal/Gauss distribution
    • Chi-square distribution 
  • Inferential Statistics Theory
    • Point estimators and properties 
    • Interval estimators (confidence intervals)
    • The Bayes rule and elements of Bayesian statistics.
    • The likelihood function and the MLEs.
    • Hypothesis tests

Due to organizational reasons, the microeconomics crash course won’t be held this year.
Admitted students are strongly invited to self-study the following topics:
 

  • Consumer theory. Budget constraint, preferences, utility function, optimal choice, demand function, price effects, consumer surplus, uncertainty.
  • Market analysis. Aggregate demand, market equilibrium.
  • Production theory. Technology, profit maximization and cost minimization, cost functions and firm supply.
  • Market structure. Aggregate supply and perfect competition, monopoly, price discrimination, oligopoly.

References:

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

Teacher: Gabriele Civitarese
30 hrs.
Starting date: August 31st, 2020
Teaching mode: in distance with ZOOM, lessons will also be recorded

Course description and syllabus

  • Introductory understanding of database modeling
  • Fundamentals of computer networks
  • Introductory programming
  • Algorithms and data structures
  • Basics of Python

Teacher: Alfredo Esposito
30 hrs.
Starting date: early September 2020
Teaching mode: async lectures only, audio-video recordings will be made available gradually

Course description and syllabus
To be communicated when the course will start.