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Computational Biology
Administered By: Department of Mathematical Sciences
compbiology
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p1 * Masters Project or a Master's Thesis is optional. (Advisor's permission is required).
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3

Administration
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Chair ahluwali
Associate Chair depapa
Program Director depapa

Administration
Chair Daljit S. Ahluwalia
Associate Chair Demetrius Papageorgiou
Program Director Demetrius Papageorgiou

Faculty
5
Distinguished Professors jonakait,grkrie
Professors ahluwali,andrushk,bhattach,blackmor,bose,deek,lacker,levy,lukej,milojevi,miura,depapa,perez,misieg,stickler,tavantzi,farzan
Associate Professors bechtold,bechtold,bukiet,chase,wychoi,dhar,dios,golowasc,kappraff,katzen,kondic,lieb,michalop,peterp,plastock,sran,xwang,muratov
Assistant Professors goodman,peterg,horntrop,jiang,matveev,rmoore,russell,tao,yyoung,ghosh
Special Lecturers jain,rappapor,ratnaswa

Faculty
Distinguished Professors Gene M. Jonakait, Gregory A. Kriegsmann
Professors Daljit S. Ahluwalia, Roman I. Andrushkiw, Manish Bhattacharjee, Denis L. Blackmore, Amitabha K. Bose, Fadi Deek, H M. Lacker, Dorothy Levy, Jonathan H. Luke, Petronije Milojevic, Robert M. Miura, Demetrius Papageorgiou, Manuel Perez, Michael S. Siegel, David Stickler, John Tavantzis, Farzan Nadim
Associate Professors John K. Bechtold, John K. Bechtold, Bruce G. Bukiet, Hamilton A. Chase, Wooyoung Choi, Sunil K. Dhar, Rose Dios, Jorge P. Golowasch, Jay M. Kappraff, Martin Katzen, Lou Kondic, Murray I. Lieb, Zoi-heleni Michalopoulou, Peter G. Petropoulos, Roy A. Plastock, Kewal S. Sran, Sheldon Wang, Cyrill B. Muratov
Assistant Professors Roy H. Goodman, Peter Gordon, David J. Horntrop, Shidong Jiang, Victor V. Matveev, Richard O. Moore, Gareth J. Russell, Louis Tao, Yuan-nan Young, Kaushik Ghosh
Special Lecturers Aridaman K. Jain, Karen D. Rappaport, Jeyakumaran Ratnaswamy

Advisors
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Advisor kondic

Advisors
Advisor Lou Kondic
 
Degrees Offered: Master of Science in Computational Biology
The Master of Science in Computational Biology seeks to train students at the interface of biology, computational science, and mathematical science. The program will train students to pose biological problems in mathematical terms using techniques of mathematical modeling. It will teach students how to use computational, numerical and analytic tools to aid in the analysis of mathematical models. Furthermore, it will show students how to interpret their mathematical results in biological terms. This program will be of interest to any student who is interested in a truly inter-disciplinary learning experience.
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Master of Science in Computational Biology 3
 
Master of Science in Computational Biology

Master of Science in Computational Biology

This masters program is designed to provide computational biology skills for students with a background in biology, mathematics, computer science, physical science, or engineering.

Admission Requirements:

1. B.S. in a natural science, mathematics, computer science, or an engineering discipline.

2. Math 222 and 337 or their equivalents.

3. One year of physics.

4. One semester of chemistry.

5. Biology – R120:301 or its equivalent.

6. Computer Science - CS 113 or 115, or their equivalents.

If the prerequisites are not fulfilled, completion of specific bridge courses will be required as a condition of admission.

Degree Requirements: A minimum of 30 credits is required for the degree, excluding bridge courses. The graduate curriculum consists of seven core courses and additional elective courses, with an optional thesis (six credits) or research project (three credits).

Required Courses (21 Credits):


biol601,bnfo601,math611,math630,math635,math663,biol638
  BIOL601 
  BNFO601 
  Math 611Numerical Methods for Computation (3 credits)
  Math 630Linear Algebra and Applications (3 credits)
  Math 635 Analytical Computational Neuroscience (3 credits)
  Math 663Introduction to Biostatistics (3-0-3)
  Biol 638Computational Ecology (3-0-3)

Electives: (Choose 3 courses from below; 9 credits)

math637,math644,math699,chem658,r120:512,r120:516,r120:524,r120:530
  Math 637Foundations of Mathematical Biology (3 credits)
  Math 644Regression Analysis Methods (3 credits)
  Math 699Design and Analysis of Experiments (3 credits)
  Chem 658Advanced Physical Chemistry (3 credits)
  R120:512Mammalian Physiology (3 credits)
  R120:516Microbial Ecology (3)
  R120:524 
  R120:530Biophysical Membrane Physiology (4 credits)

*Masters Project/Thesis (Optional):

biol700,biol701
  BIOL700 
  BIOL701 


*  Masters Project or a Master's Thesis is optional. (Advisor's permission is required).
 


Catalog and curricula information approved by the relevant academic department.