Mathematics

A.Y. 2021/2022
6
Max ECTS
40
Overall hours
SSD
SECS-S/06
Language
English
Learning objectives
The aim of the course is to enable students to apply mathematics as a useful and precise tool in economics and statistics. Starting with a revision of basic mathematics and developing new theory using practical examples, the course will also foster students' ability in using graphs to simplify and check the resolution of problems.
Expected learning outcomes
Students should be able to formalize practical situations using mathematical methods. They should become competent at creating graphs to represent functions and convey information. Students should be able to develop an effective study method in the subject for further independent learning and to critically analyze relations between mathematical theory and its practical applications.
Course syllabus and organization

Single session

Lesson period
Second trimester
Emergency procedures will be in accordance to the University regulations.
Course syllabus
Systems of linear equations, graphs of linear equations and systems, total differential, derivatives, constrained maximization, linear approximation of the Taylor's series, logarithms and first differences of logarithms, concept of integral, linear algebra, matrices for Econometrics and hints of 2-variables functions.
Prerequisites for admission
Good knowledge of the English language, no particular prerequisites related to mathematical knoledge
Teaching methods
Lectures, exercise in classroom; optional attendance but strongly recommended.
Teaching Resources
- Serge Lung, "Short calculus"
- Peter Hammond, "Essential mathematics for economics analysis", fourth edition
- notes of lectures
Assessment methods and Criteria
Written examination that will deal with exercises, skills in mathematical problem solving and in the use of a specialistic vocabulary will be evaluated. Marks are on a scale of 30.
SECS-S/06 - MATHEMATICAL METHODS OF ECONOMICS, FINANCE AND ACTUARIAL SCIENCES - University credits: 6
Lessons: 40 hours
Professor(s)
Reception:
Tuesday 15:30
online by appointment via mail