30319 - QUANTITATIVE METHODS FOR SOCIAL SCIENCES (MODULE I - MATHEMATICS)
Course taught in English
Go to class group/s: 23
- clear and precise concepts and their relevance for applications
- results, which are relevant for the social sciences;
- ability to handle elementary examples;
- ability to construct and to analyze simple models.
- Linear algebra: vectors and matrices with applications.
- Linear algebra: solution of linear algebraic systems with applications.
- Differential calculus: basic notions (derivative, differential) both for functions of one and of several variables.
- Basic static optimization, both unconstrained and constrained, with applications.
- Integral calculus: definite and indefinite integrals.
- Simple ordinary differential equations: solution and qualitative analysis with applications.
- Discrete dynamic models with applications.
- 4 individual homework assignments during the course [max 4 points];
- 2 written partial exams or a general written exam [max 13 points];
- 1 class assignment on modeling with MATHCAD;
- 1 oral exam consisting of two questions [max 13 points]
- M. D’AMICO, L. PECCATI, Math for Social Sciences, EGEA, Milano, 2015.
- Materials available on e-learning.
Elementary analytic geometry (straight lines, parabolas, circles).