Code: | M4151 | Acronym: | M4151 | Level: | 400 |
Keywords | |
---|---|
Classification | Keyword |
OFICIAL | Mathematics |
Active? | Yes |
Responsible unit: | Department of Mathematics |
Course/CS Responsible: | Master in Computational Statistics and Data Analysis |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
M:ECAD | 0 | Study plan since 2021/2022 | 2 | - | 6 | 42 | 162 |
The course aims to introduce n aa rigorous the optimization theory (linear and nonlinear), variational calculus and theory of control. The fundamental concepts of these areas are addressed, as well as the most important mathematical tools for its analysis.
The aim is for students to acquire skills in algorithmic modeling and solving real situations common in many scientific and economic activities.
Linear optimization problems.
Non-linear optimization problems.
Problems with and without constraints.
Calculus of variations.
Differential equations depending on controls. State variables and control variables. Presentation of some control problems. Pontryagin's maximum principle.
Exposition and discussion of the main subjects of the UC.
Selected group of exercises to be addressed by the students.
designation | Weight (%) |
---|---|
Teste | 70,00 |
Exame | 30,00 |
Total: | 100,00 |
designation | Time (hours) |
---|---|
Estudo autónomo | 110,00 |
Frequência das aulas | 52,00 |
Total: | 162,00 |
During the semester, the rules are those indicated in the formula of computation of the final grade. After that, the general relevant rules apply.