Biological Systems

Universidad Carlos III de Madrid

Course Description

  • Course Name

    Biological Systems

  • Host University

    Universidad Carlos III de Madrid

  • Location

    Madrid, Spain

  • Area of Study

    Biology, Biomedical Engineering

  • Language Level

    Taught In English

  • Prerequisites

    STUDENTS ARE EXPECTED TO HAVE COMPLETED:

    It is strongly advised to have completed Mathematics, Programming, Physics, Fundamentals of Biology and Biochemistry.

  • Course Level Recommendations

    Lower

    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • ECTS Credits

    6
  • Recommended U.S. Semester Credits
    3
  • Recommended U.S. Quarter Units
    4
  • Overview

    Biological Systems (257 - 15540)
    Study: Bachelor in Biomedical Engineering
    Semester 2/Spring Semester
    2nd Year Course/Lower Division

    Students Are Expected to Have Completed:

    It is strongly advised to have completed Mathematics, Programming, Physics, Fundamentals of Biology and Biochemistry.

    Compentences and Skills that will be Acquired and Learning Results:

    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: Course Description

    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:

    The evaluation system includes continuous assessment of student work (papers, class participation and tests assessing practical skills and theoretical knowledge), and final evaluation through a final written exam that will assess knowledge globally the skills and abilities acquired throughout the course. Continuous assessment will consist of three works corresponding to three main blocks taught in the course, totaling 40% of grade divided into three evaluations of 13.3% each. The final evaluation will be done through a written exam to join the other 60% and that should take more than 4 out of 10 to be added to the overall evaluation of the course.

    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

Course Disclaimer

Courses and course hours of instruction are subject to change.

ECTS (European Credit Transfer and Accumulation System) credits are converted to semester credits/quarter units differently among U.S. universities. Students should confirm the conversion scale used at their home university when determining credit transfer.

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