MATHEMATICS FOR DECISION SCIENCES 1

Academic year 2019/2020 Syllabus of previous years
Official course title MATHEMATICS FOR DECISION SCIENCES 1
Course code ET7002 (AF:304928 AR:169668)
Modality On campus classes
ECTS credits 6
Degree level Bachelor's Degree Programme
Educational sector code SECS-S/06
Period 1st Term
Course year 1
Where RONCADE
Contribution of the course to the overall degree programme goals
This first course of Mathematics gives the basic knowledge which is necessary to enter the subjects of Economics and Computer Sciences.
Expected learning outcomes
To be familiar with the scientific rigour and the language of calculus. To be able to use the methods and the techniques taught during the lectures.
Pre-requirements
None. The knowledge of elementary functions and and the practice with limits can help
Contents
We will address the following topics

- Set theory and basic logic
- Induction
- Elements of combinatorics
- Limits and continuity of real functions
- Derivatives
- Methods of approximation
- Integrals
Referral texts
Most of the material will be provided by the teacher. The mathematics of this course is covered by hundreds (if not thousands) of books.
A standard book used in Business Schools is (but you are not obliged to buy it)

------- Essential Mathematics for Economic Analysis. By Knut Sydsaeter, Peter Hammond, Arne Strom -------

It covers much more of what needed for this course and can be a reference for future courses.
Assessment methods
Written exam and online quizzes
Teaching methods
Regular lectures and group activities
Teaching language
English
Type of exam
written
Definitive programme.
Last update of the programme
16/07/2019