Seminar
Keywords |
Classification |
Keyword |
OFICIAL |
Mathematics |
Instance: 2016/2017 - 1S
Cycles of Study/Courses
Teaching language
Suitable for English-speaking students
Objectives
The students must become familiar with the research and selection of scientific and technical references and their use to understand how relevant problems have been solved, their impact on the scientific and technological progress, and the primordial role of Mathematics within the solution of real life issues.
Learning outcomes and competences
The presentation of seminars on mathematical topics related to real-life problems is an privileged way for students to test their communication skills and their integration into a team work, for a thorough discussion and critique of mathematical results and for a detailed assessment of scientific research methods.
Working method
Presencial
Program
The syllabus is selected by the group of lecturers associated with the MSc who are supervising students' theses or projects, covering topics of general interest in Mathematics and its applications.
Mandatory literature
Kepler Ioannes;
Nouvelle stéréométrie des tonneaux. ISBN: 2-85367-179-8
Kline Morris;
Mathematics and the physical world. ISBN: 0-486-24104-1
Polya George;
Mathematical discovery. ISBN: 0-471-08975-3
Polya G.;
Mathematics and plausible reasoning. ISBN: 0-691-02509-6 (Vol. I)
Pólya George;
Mathematical methods in science. ISBN: 0-88385-600-X
Gardner Martin;
The night is large. ISBN: 0-14-026372-1
Complementary Bibliography
Krantz Steven G.;
Techniques of problem solving
Rademacher Hans;
The enjoyment of mathematics. ISBN: 0-691-02351-4
Teaching methods and learning activities
The outcomes and syllabus are established for each student by his/her supervisor. Each student receives one or several published papers on a topic related to the subject of the thesis/dissertation project he/she is researching under the guidance of a supervisor. Their content is the subject of the students' seminars, besides giving rise to a through discussion on the mathematics involved and the methods that have been explored.
Until the seminars begin, students
will analyze in class examples of problems solved using some kind of modeling. During this study it
should be clear:
(a)
what problem had to be solved;(b) what simplifications
the model proposes;
(c) what
mathematics is
used to solve the problem;
(d) if
the conclusions for the model are valid within the real setting. keywords
Physical sciences > Mathematics > Applied mathematics > Operations research
Physical sciences > Mathematics > Computational mathematics > Computational models
Physical sciences > Mathematics > Statistics
Physical sciences > Mathematics > Applied mathematics > Actuarial mathematics
Physical sciences > Mathematics > Applied mathematics > Engineering mathematics
Physical sciences > Mathematics > Applied mathematics > Biomathematics
Physical sciences > Mathematics > Applied mathematics > Numerical analysis
Evaluation Type
Distributed evaluation without final exam
Assessment Components
designation |
Weight (%) |
Participação presencial |
20,00 |
Prova oral |
80,00 |
Total: |
100,00 |
Eligibility for exams
Absences will not be registered.
Calculation formula of final grade
The final classification results from a qualitative assessment of each
student's participation in the classes' mathematical discussions, the pedagogical and scientific quality of his/her seminars, besides the innovative nature of his/her contribution through the specific component of the associated project
/thesis.
An evaluation grid will be aproved in due time by the students and the jury.