Checking date: 30/05/2017


Course: 2019/2020

Biological Systems
(15540)
Study: Bachelor in Biomedical Engineering (257)


Coordinating teacher: JORCANO NOVAL, JOSE LUIS

Department assigned to the subject: Department of Bioengineering and Aerospace Engineering

Type: Compulsory
ECTS Credits: 6.0 ECTS

Course:
Semester:




Students are expected to have completed
It is strongly advised to have completed Mathematics, Programming, Physics, Fundamentals of Biology and Biochemistry.
Competences and skills that will be acquired and learning results. Further information on this link
The main goal of the course is to acquire capabilities for modeling common biological systems using mathematical physical and computational tools. The student will be able to apply these tools for extracting quantitative information in order to understand different type of systems. Finally the student will acquire capabilities for evaluating and be objective with the results obtained from those analyses and models.
Description of contents: programme
Biological Systems: The course consists of (1) statistical representation for analyzing, interpreting and predicting biological data,(2) modeling description and application related to biological components involved in cellular processes, and (3) modeling trees and biological networks at molecular level. Students will learn from the point of view of quantitative modeling of biological systems: study of data related to biological systems, description and modeling of the structure and dynamics of biological components, study of interactions between the molecular systems involved in biological processes, study of genetic networks, molecular and biochemical interactions.
Learning activities and methodology
The teaching methodology will include: - Lectures, where the concepts that students must acquire will be shown. To facilitate its development students receive class notes and have basic reference texts that will facilitate following the lessons and developing further work. These classes are designed by way of seminars. - Resolution of exercises, problems and laboratory practice to serve as self-assessment to acquire the necessary skills to perform the works corresponding to the continuous assessment, experimentally verifying the results presented in class.
Assessment System
  • % end-of-term-examination 50
  • % of continuous assessment (assigments, laboratory, practicals...) 50
Basic Bibliography
  • Allman, Elizabeth Spencer . Mathematical models in biology : an introduction . Cambridge University Press. 2004
  • Helms, Volkhard. Principles of computational cell biology : from protein complexes to cellular networks. Wiley-VCH,. 2008
  • Shonkwiler, Ronald W. Mathematical biology : an introduction with Maple and Matlab . Springer. 2009

The course syllabus and the academic weekly planning may change due academic events or other reasons.