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The Computational Biology Track

The Computational Biology Track is intended for students who wish to develop working knowledge of computational techniques and their applications to biomedical research. Recent advances in high-throughput technologies, e.g., for DNA sequencing and for measuring RNA expression via DNA microarrays, are changing the nature of biomedical research. They empower fundamental new understandings of biological mechanisms with far reaching applications to biological and medical sciences. To fulfill this promise, new computational techniques are needed to analyze genome sequences, protein structures, metabolic and regulatory pathways, evolutionary patterns and the genetic basis of disease. The computational-biology track seeks to provide state of the art understanding of this concomitant growth of high-throughput experimental techniques, computational techniques to analyze their data, the resulting new understandings of biological mechanisms and their applications to pharmacological and medical practice (from diagnosis to drug design).

1. Overall Requirements

Students must complete a total of 30 credits:

  1. Fulfill the 12-credit core requirement.
  2. 2 required courses (6 credits): COMS-W4761 (Computational Genomics) and a second course selected among COMS-W4771, and SIEO 4150.
  3. 6 elective credits at the 6000-level, at least 3 of these 6000-level credits must be selected from the list of section 4.
  4. 6 credits of general elective graduate courses, at 4000 level or above; at least 3 of these credits must be CS graduate courses.
  5. At least 3 elective credits must be selected from courses in biological departments.
  6. Students using previous courses to fulfill core or track requirements may complete the 30 graduate credits by expanding their electives selected from (a) the list of required track courses; (b) the list of elective track courses; or (c) other graduate courses. At most 3 credits overall may be from non-technical graduate courses.

For the 12-credit core requirement, students take four courses from the following six:

COMS W4115 Programming Languages & Translators

COMS W4118 Operating Systems 1

COMS W4156 Advanced Software Engineering

COMS W4231 Analysis of Algorithms 1

COMS W4701 Artificial Intelligence

CSEE  W4824 Computer Architecture

2. Pre-requisites

None.

3. Required Track Courses

Candidates are required to complete the following course:

Candidates are required to complete one (1) of the following courses*:

 Course ID
Title
Fall 2008**
Spring 2008
COMS-W4761 Computational Genomics

 

Candidates are required to complete one (1) of the following courses*:

 Course ID
Title
Fall 2008**
Spring 2008
COMS-W4771 Machine Learning
 Offered
SIEO-4150 Probability and Statistics
 OfferedOffered

Students who have completed equivalent courses with grades of at least 3.0 may apply those courses to satisfy these requirements and devote more credits to pursue elective courses.

4. Elective Track Courses

Students are required to take two courses from the following list, at least one of which must be a 6000-level course. Other courses on this list may be used as general electives or to replace core or required track courses when the student has received a waiver.

 Course ID
Title
Fall 2008**
Spring 2008
COMS-W4111 Database Systems
Offered
Offered
COMS-W4252 

Introduction to Computational
Learning Theory

Offered 

COMS-W4772 (E6772)

Advanced Machine Learning
Offered
 
COMS-E6111 Advanced Database Systems
 Offered 
COMS-E6901 Projects in Computer Science
Offered
Offered
COMS-E6998 Computational Human Genetics
 
COMS-E6998 Seminar on Biological Networks
  
COMS-E6998 

Seminar in Evolutionary and
Comparative Genomics

 
COMS-E6998 Biological Networks
 
COMS-E6998 

Research Seminar in
Computational Genomics

 
BIOC-W4512 Molecular Biology
 Offered
BIOL-W4031 Genetics I
Offered
Offered 
BIOL-W4032 Genetics II
Offered 
BIOL-W4034 Biotechnology
 Offered 
BIOL-W4037 Bioinformatics of Gene Expression
 
BIOL-W4041 Cell Biology
Offered
 
BIOL-W4070 

The Biology and Physics of
Single Molecules

 Offered 
BIOL-W4300 Drugs and Disease
Offered
 
BIOL-W4073 Cellular and Molecular Immunology 
 
Offered
BIOL-W4510 Molecular Systems Biology I
 Offered 
BIOL-W4511 Molecular Systems Biology II
 Offered
BCHM-G4026

Biochemistry of Nucleic  
and Protein Synthesis

 Offered
BCHM-G6300 

Biochemistry and Molecular
Biology of Eukaryotes I

Offered
 
BCHM-G6301 

Biochemistry and Molecular
Biology of Eukaryotes II

 Offered
BMEN-E6480 

Computational Neural Modeling
and Neuroengineering

  

Genetics&
Development

Advanced Eukaryotic        
Molecular Genetics

Offered
 
BCHM-G4250 

Biochemistry and Molecular
Biophysics

  
STAT-6101 Statistical Modeling and Data Analysis
Offered  
APMA-E4400 Introduction to Biophysical Modeling
 offered 
BINF-G4014 

Computational BiologyI:  
Functional and Integrative Genomics

 Offered 
BINF-G4015 

Computational BiologyII:
Proteins, Networks, Function        

  Offered

 

5. General Electives

Candidates are required to complete at least 6 additional graduate credits at, or above, the 4000 level; at least 3 of these credits must be CS, the other 3 credits may be a technical or non-technical elective approved by the track advisor. At most 3 credits overall of the 30 graduate credits required for the MS degree may be non-technical.

6. Contact

Please direct all questions concerning the Computational Biology Track to Prof. Itsik Pe'er. and Prof. YechiamYemini.

7. Graduation

Candidates preparing for graduation should submit a completed application for degree to the Registrar's Office and submit a track graduation form to C.S. Student Services (an example of a completed form is available here).

 

 


*Note: The list of electives may be updated to reflect changes in the schedule of course offerings.

**Please note that Fall 2008 course offerings are listed on a provisional basis only and may change from what is listed here.

The Elective Track description updated on 11/02/2006.

Last updated 3/25/2008.

 


Credits

Columbia University Department of Computer Science / Fu Foundation School of Engineering & Applied Science
450 Computer Science Building / 1214 Amsterdam Avenue, Mailcode: 0401 / New York, New York 10027-7003
Tel: 1.212.939.7000 / Fax: 1.212.666.0140

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