| Code: | M4042 | Acronym: | M4042 |
| Keywords | |
|---|---|
| Classification | Keyword |
| OFICIAL | Mathematics |
| Active? | Yes |
| Responsible unit: | Department of Mathematics |
| Course/CS Responsible: | Master in Mathematical Engineering |
| Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
|---|---|---|---|---|---|---|---|
| M:ENM | 18 | Official Study Plan since 2023/2024 | 1 | - | 6 | 48 | 162 |
| Teacher | Responsibility |
|---|---|
| Inês Maria Bravo de Faria Cruz |
| Theoretical and practical : | 3,69 |
| Type | Teacher | Classes | Hour |
|---|---|---|---|
| Theoretical and practical | Totals | 1 | 3,692 |
| Inês Maria Bravo de Faria Cruz | 3,692 |
The aim of this curricular unit is to study some of the models, techniques and algorithms more frequently used in other áreas of knowledge. Each technique should be used for resolution of problems arising in other sciences and for establishing mathematical models for such problems.
We aim at:
a) completing and structuring the students’ background;
b) developing the ability of modeling and solving problems;
c) promoting the knowledge and the use of methods which are relevant in applications;
d) favouring the students’ contact with the construction and use of algorithms.
One semester of Linear Algebra and two semesters of Infinitesimal Calculus or Real Analysis are recommended. However, students can overcome the lack of background with extra work.
1. Optimization models with one and several variables, with and without restrictions; computational methods for optimization.
2. Discrete time dynamic models with one and several variables, linear and nonlinear analysis, fixed points and stability, diagrams.
3. Continuous time dynamic models with one and several variables, steady state and qualitative analysis, phase portraits, first integrals.
Each technique will be illustrated with examples of application to different fields of knowledge.
Lectures will be used to present the mathematical techniques and examples of their applications. They will also be used to solve problems with such techniques and, if possible, for computer simulation.
Some lectures will be used for evalutation purposes.
| designation | Weight (%) |
|---|---|
| Teste | 100,00 |
| Total: | 100,00 |
| designation | Time (hours) |
|---|---|
| Estudo autónomo | 110,00 |
| Frequência das aulas | 48,00 |
| Trabalho escrito | 4,00 |
| Total: | 162,00 |
Students should be present in all the lectures in which assessments take place (to be fixed in the beginning of the academic year).
The final grade is the sum of all the points obtained in the assessments indicated below:
C1 - component corresponding to the first part of the syllabus - 8 points (consisting of (a) resolution of an exercise of 2 points from the first group of exercises and (b) and assessment with score of 6 points)
C2 - component corresponding to the second part of the syllabus - 6 points (consisting of (a) resolution of an exercise of 2 points from the second group of exercises and (b) and assessment with score of 4 points)
C3 - component corresponding to the second part of the syllabus - 6 points (consisting of (a) resolution of an exercise of 2 points from the thrid group of exercises and (b) and assessment with score of 4 points)
In the second call the final grade is the grade obtained an exam with a total score of 20 points.