1. General information
Course:
SEMINAR IN MATHEMATICAL BIOLOGY WITH APPLICATIONS IN BIOTECHNOLOGY
Code:
310937
Type:
ELECTIVE
ECTS credits:
6
Degree:
2351 - MASTER DEGREE PROGRAMME IN PHYSICS AND MATHEMATICS-FISYMAT
Academic year:
2021-22
Center:
Group(s):
20
Year:
1
Duration:
C2
Main language:
Spanish
Second language:
English
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer:
HELIA DA CONCEICAO PEREIRA SERRANO
- Group(s):
20
Building/Office
Department
Phone number
Email
Office hours
Margarita Salas/Despacho 327
MATEMÁTICAS
926052237
heliac.pereira@uclm.es
2. Pre-Requisites
It is necessary to know about mathematical analysis as well as ordinary and partial differential equations.
3. Justification in the curriculum, relation to other subjects and to the profession
Not established
4. Degree competences achieved in this course
| Course competences | |
|---|---|
| Code | Description |
| CE02 | Develop the ability to decide the appropriate techniques to solve a specific problem with special emphasis on those problems associated with the Modeling in Science and Engineering, Astrophysics, Physics, and Mathematics |
| CE03 | Have the ability to build and develop advanced mathematical reasoning, and delve into the different fields of mathematics |
| CE04 | Have the ability to build and develop advanced physical reasoning, and delve into the various fields of physics and astrophysics |
| CE05 | Know how to obtain and interpret physical and/or mathematical data that can be applied in other branches of knowledge |
| CE06 | Prove the necessary capacity to perform a critical analysis, evaluation and synthesis of new and complex results and ideas in the field of astrophysics, physics, mathematics and biomathematics |
| CE07 | Ability to understand and apply advanced knowledge of mathematics and numerical or computational methods to problems of biology, physics and astrophysics, as well as to build and develop mathematical models in science, biology and engineering |
| CE08 | Ability to model, interpret and predict from experimental observations and numerical data |
5. Objectives or Learning Outcomes
| Course learning outcomes | |
|---|---|
| Description | |
| Additional outcomes | |
| Not established. |
6. Units / Contents
-
Unit 1: BIOMAT course
7. Activities, Units/Modules and Methodology
| Training Activity | Methodology | Related Competences (only degrees before RD 822/2021) | ECTS | Hours | As | Com | Description | |
| Class Attendance (theory) [ON-SITE] | Lectures | CE02 CE03 | 1.04 | 26 | Y | Y | ||
| Class Attendance (practical) [ON-SITE] | Workshops and Seminars | CE04 CE05 | 0.4 | 10 | Y | Y | ||
| Project or Topic Presentations [ON-SITE] | Individual presentation of projects and reports | CE07 CE08 | 0.24 | 6 | Y | Y | ||
| Individual tutoring sessions [ON-SITE] | Guided or supervised work | CE02 CE03 CE04 CE05 CE06 CE07 CE08 | 0.32 | 8 | Y | N | ||
| Study and Exam Preparation [OFF-SITE] | Self-study | CE02 CE03 CE04 CE05 CE06 CE07 CE08 | 4 | 100 | N | N | ||
| Total: | 6 | 150 | ||||||
| Total credits of in-class work: 2 | Total class time hours: 50 | |||||||
| Total credits of out of class work: 4 | Total hours of out of class work: 100 | |||||||
As: Assessable training activity Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).
8. Evaluation criteria and Grading System
| Evaluation System | Continuous assessment | Non-continuous evaluation * | Description |
| Assessment of active participation | 40.00% | 0.00% | Assessment of student attendance and participation in class and in seminars. |
| Portfolio assessment | 60.00% | 100.00% | Realization of reports, works and/or projects made individually or in groups. |
| Total: | 100.00% | 100.00% |
According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).
Evaluation criteria for the final exam:
-
Continuous assessment:Evaluation criteria not defined
-
Non-continuous evaluation:Evaluation criteria not defined
Specifications for the resit/retake exam:
Evaluation criteria not defined
Specifications for the second resit / retake exam:
Evaluation criteria not defined
9. Assignments, course calendar and important dates
| Not related to the syllabus/contents | |
|---|---|
| Hours | hours |
10. Bibliography and Sources
| Author(s) | Title | Book/Journal | Citv | Publishing house | ISBN | Year | Description | Link | Catálogo biblioteca |
|---|---|---|---|---|---|---|---|---|---|
| No se ha introducido ningún elemento bibliográfico | |||||||||