Guías Docentes Electrónicas
1. General information
Course:
SEMINARIO DE INVITADOS BIOMAT Y DE PROBLEMAS INDUSTRIALES EN BIOTECNOLOGÍA
Code:
310937
Type:
ELECTIVE
ECTS credits:
6
Degree:
2351 -
Academic year:
2019-20
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
Francisco Fdez Iparraguirre/Despacho 327
MATEMÁTICAS
3868
heliac.pereira@uclm.es
L M X J V 13:00H-14:00H Por email se puede concertar cita fuera del horario establecido.

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 ECTS Hours As Com R Description
Class Attendance (theory) [ON-SITE] Lectures CE02 CE03 1.04 26 Y Y N
Class Attendance (practical) [ON-SITE] Workshops and Seminars CE04 CE05 0.4 10 Y Y N
Project or Topic Presentations [ON-SITE] Individual presentation of projects and reports CE07 CE08 0.24 6 Y Y Y
Individual tutoring sessions [ON-SITE] Guided or supervised work CE02 CE03 CE04 CE05 CE06 CE07 CE08 0.32 8 Y N Y
Study and Exam Preparation [OFF-SITE] Self-study CE02 CE03 CE04 CE05 CE06 CE07 CE08 4 100 N 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
R: Rescheduling training activity
8. Evaluation criteria and Grading System
  Grading System  
Evaluation System Face-to-Face Self-Study Student Description
Assessment of active participation 40.00% 0.00% Assessment of student attendance and participation in class and in seminars.
Portfolio assessment 60.00% 0.00% Realization of reports, works and/or projects made individually or in groups.
Total: 100.00% 0.00%  

Evaluation criteria for the final exam:
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



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