Links to other pages in this course website:

CLASS SCHEDULE

Syllabus/Home Page contents:

Course Description

Prerequisites and Recommended Background

Class Structure

Grading Policy

Course Policy

All material on this course website is subject to change without notice.

BIOEN 485, Autumn 2007
Computational Bioengineering

Syllabus and Home Page

Instructor: Wendy Thomas
Office: BIOE N430P
Office Hours: Thursday 1:30 to 2:30
e-mail: wendyt@u.washington.edu
Phone: (206)616-3947
Fax: (206)685-3300

Grader: Faysal Dahir
email: faysaldahir@gmail.com

Class Meeting Times and Location:
Lecture: TTh 11:00-12:20 PAR 310 (subject to change)

Laboratory: F 11:30 - 2:20 BIOE N140 (William H Foege Building)

Class Discussion email list : bioen485a_au07@u.
If you are registered for the class, you will automatically be added to the discussion list. Only members of the class will be able to send emails to the discussion list, which means you must use your UWnetID to send to the list. The list will be used for course announcement and for you to discuss topics with each other.

Announcements

Please note: The site may be changed during the course of the class. Changes to the syllabus will be mentioned in class and posted on the website.

Course Description

BIOEN485 is a 4 credit class with lectures and laboratories. This course will cover methodological and practical aspects of the application of system analysis and computational tools to the solution of outstanding biological and biomedical problems. The recent, rapid development of these fields requires an understanding of the mathematical, statistical and computational tools behind such a rapid growth. The advances both in computational power and the understanding of biology have allowed the formulation of increasingly sophisticated and realistic mathematical models of biological systems. This course is intended for students with a background in fields in biology or bioengineering seeking to learn to apply quantitative tools to biological problems.

Learning Objectives:

  1. Be able to recast a range of biological problems into quantitative models
  2. Be able to choose appropriate computational tools
  3. Be able to apply computational tools to solve a variety of biological problems.
  4. Evaluate and articulate what value is added by a computational model
    • Identify limitations of conceptual models that are based on experiments
    • Learn how to integrate computational and experimental tools
    • Evaluate whether computational models are sufficiently accurate

The material of the course is balanced between theoretical and practical fundamentals and specific case studies, closely integrated with current literature reviews and computer laboratory sessions. Examples from cell biology, metabolism, genomic analysis, protein structure, pharmacokinetics and regulatory networks are presented and will be used to motivate the lectures and closely integrate them with the laboratories.

Computational Topics Covered

  1. Model Building
  2. Linear Systems
  3. Control Systems
  4. Transfer Functions
  5. Nonlinear Systems
  6. State Space and Stability analysis
  7. Parameter Estimation and System Identification
  8. Continuous Stochastic Systems
  9. Discrete Stochastic Systems
  10. Approximate Methods from Computational Biology

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Prerequisites and Recommended Background

Prerequisites are:

  • CSE 143: Computer Programming II or strong familiarity with a scientific programming language such as MATLAB.
  • BIOEN 305: Introduction to the Bioengineering Analysis of Physiology II, or other physiology or cell biology.
  • MATH 308: Matrix Algebra with Applications
  • Background in ordinary differential equations is strongly recommended.

Equivalent coursework may be substituted for the prerequisites on an individual basis. Please consult the instructor if you are not sure you meet the prerequisites for taking this course.

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Class Structure

Required Readings:

Required course textbook is available at the University Bookstore. :

  • Physiological Control Systems: Analysis, Simulation and Estimation by Michael C. K. Khoo, New York: IEEE Press, 2001.

Required CoursePak is available for a small fee in the Health Sciences Rotunda Copy Center.

  • Compartmental Analysis in Biology and Medicine 3rd Edition by John A. Jacquez, BiomedWare, Ann Arbor, MI, 2001, Chapters 12 and 13

The course will also be supplemented by readings available on the web. See the Course Schedule for details about the material to read for each week of class. Every week on Tuesday an Article of the Week will be assigned for reading. Articles of the week will usually contain very advanced topics and some time during the Thursday lecture will be devoted to the discussion of them.

Class Participation: Each class will include both lecture and discussion. It is expected that you come to class having read the assigned material and be ready to discuss it. Short written analyses will be assigned weekly for some of the discussion material.

Weekly Assingments : You will have a homework due almost every week. The homeworks will involve some pen-and-paper work, but will be largely solved numerically using the software MATLAB. We will have a weekly computer lab to get you started on these assignments. The computer laboratory for BIOEN 485 is located in BIOE N140. You should be able to log in with your UW Net ID. For problems concerning the machines in the lab, personal accounts and software, please contact Norbert Berger, 543-9757, Box 355061, at norbert@u.washington.edu.

Projects: The first project will involve reconstruction of a model from the literature and an analysis of what was learned by modeling the system. The second project will be a group project designing a therapeutic intervention on an existing system or a synthetic system for a technological applications. More detail on both projects is provided elsewhere on the web site.

No Final Exam will be administered.

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Grading Policy

Assignments will be graded on ability to perform simulations and analysis, and to evaluate how computational tools add to the understanding of the problem. All assignments will be graded on a 0.0 to 4.0 scale, representing a fail to an A. Your final grade will be the weighted average of these according to the following formula:

  • weekly assingments 50%
  • midterm projects 40% (20% each)
  • class participation 10%

Class participation will be graded on your active participation in class discussions, not on your attendance. Participation is important to keep you thinking during classes that often cover challenging material. Half of the participation grade will be based on your written analysis on the discussion material. The other half will be based on your oral contribution to the discussion as follows:

  • 4.0: frequent participation or occassional participation with great insight.
  • 3.0: occassional participation or rare participation with great insight.
  • 2.0 rare participation
  • 1.0 never or almost never participates in discussion
  • 0.0 never participates

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Course Policy

(Deadlines, Cooperation vs. Plagiarism, Class Attendance, Disability)
  • All assignments must be turned in at the start of class or lab on the date specified on this website, and can be turned in as paper in class or electronically by email. Because solutions will be posted immediately, no late reports will be accepted, so please turn in everything you were able to accomplish in the allocated time. Exceptional circumstances will be considered in the case of emergencies if you contact the professor prior to the time the assignment is due. Each student may be allowed one "academic emergency" per quarter.
  • You may discuss projects and homework with your fellow students, and even collaborate on the solution, but you may not copy or take credit for another person’s work and you must write your homework, lab or term reports independently. You also must acknowledge the person(s) that collaborated with you on the solution. Please quote any material that you copy directly, and acknowledge the source of material that you rewrite in your own words. Cheating/plagiarism is not tolerated.
  • Class attendance and participation is strongly encouraged.  Feedback and suggestions about the class will be highly appreciated.  You will be responsible for the materials covered in class.  Normally, lecture slides will be posted on this site immediately after class.
  • To request academic accommodations due to a disability, please contact Disabled Student Services, 448 Schmitz, (206) 543-8925 (V/TTY). If you have a letter from Disabled Student Services (DSS) documenting that you have a disability that requires academic accommodations, please present the letter to the instructor so we can discuss the accommodations you might need for the class. 
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 Last Updated:
November 29, 2007

 

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