MATHEMATICS FOR DECISION SCIENCES-2

Academic year
2021/2022 Syllabus of previous years
Official course title
MATHEMATICS FOR DECISION SCIENCES-2
Course code
ET7003 (AF:358338 AR:189829)
Modality
On campus classes
ECTS credits
6
Degree level
Bachelor's Degree Programme
Educational sector code
SECS-S/06
Period
2nd Term
Course year
1
Where
RONCADE
Moodle
Go to Moodle page
In this second part we will focus on the study of Linear algebra necessary for applications in Computer Sciences and Statistics
Solution of linear systems and use of matrix's calculus. Discrete Probability
None
We will cover the following topics

- Gauss elimination
- Matrices
- Determinants
- Eigenvalues and eigenvectors
- Probability
Most of the material will be provided by the teacher. The mathematics of this course is treated in hundreds (if not thousands) of books. A standard book used in Business Schools is

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.
Assignments will be given during the practice sessions: the students, divided into groups, have to solve the given exercises and publish the solutions on the blog of the class.
Also there is a final written exam (of two hours): the students will have to solve exercises (most of them similar to those solved in class) and answer some basic theoretical question.
Regular lectures and group activities
English
written
Definitive programme.
Last update of the programme: 15/10/2021