Computation for biological engineers

Bachelor's degree

In Maynard (USA)

Price on request

Description

  • Type

    Bachelor's degree

  • Location

    Maynard (USA)

  • Start date

    Different dates available

This course covers the analytical, graphical, and numerical methods supporting the analysis and design of integrated biological systems. Topics include modularity and abstraction in biological systems, mathematical encoding of detailed physical problems, numerical methods for solving the dynamics of continuous and discrete chemical systems, statistics and probability in dynamic systems, applied local and global optimization, simple feedback and control analysis, statistics and probability in pattern recognition.

Facilities

Location

Start date

Maynard (USA)
See map
02139

Start date

Different dates availableEnrolment now open

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Reviews

Subjects

  • Probability
  • Systems
  • Design
  • Statistics

Course programme

Lectures: 2 sessions / week, 1 hour / session


20.180


There will be short assignments distributed at almost every lecture. We expect that all assignments will be turned in by midnight on the day they are due. You may discuss assignments with your classmates but we expect that you will submit your own work. Late assignments (up to one week late) will be given 1/2 credit; solutions for assignments will be posted at the posted due date. A family crisis or severe illness requiring attention from the infirmary and prohibiting you from all your coursework are acceptable reasons for missing an exam; every effort will be made to accommodate you in these exceptional circumstances. More information regarding academic integrity is available here.


The course is divided into three modules, with exams at the end of each module.


Module 1: Phylogenetic Inference (Lec #1-8)


Module 2: Molecular Modeling / Protein Design (Lec #10-17)


Module 3: Discrete Reaction Event Network Modeling (Lec #19-24)


Each module covers the following general topics:


Course Overview


Introduction to Phylogenetic Inference; Case Studies; Phylogenetic Trees; Quick Review of Recursion


Phylogenetic Trees: Overview, Possible Trees


Python®: Trees; Data Structure, Parsing Function


Greedy Algorithm for Trying Trees


Review


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Computation for biological engineers

Price on request