Computational Biology
Standard Program for the Sc.B. Degree
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Computational Biology involves the analysis and discovery of biological phenomena using computational tools, and the algorithmic design and analysis of such tools. The field is widely defined and includes foundations in computer science, applied mathematics, statistics, biochemistry, molecular biology, genetics, ecology, evolution, anatomy, neuroscience and visualization.
Our program educates the student liberally in these fields, building on a foundation of coursework that may then focus via several possible tracks. The program offers four tracks: computational genomics, biological sciences, molecular modeling and applied mathematics and statistical genomics. The program requires a senior capstone experience that pairs students and faculty in creative research collaborations.
Computational Biology graduates are candidates for competitive positions in industry or for training in academic science.
ScB Program Requirements
Prerequisites  Students must take all of the following courses.
 Introductory Calculus II (Math 0100) or Advanced Placement Calculus (MATH 0170)
 The Foundation of Living Systems (BIOL 0200) or equivalents
General Core Course Requirements
ChemistryBiology
 Equilibrium, Rate, Structure (CHEM 0330)
 Genetics (BIOL 0470)  Prerequisite BIOL 0200 or equivalent
and select one of the following courses.
Computer Science
 Introduction to Biochemistry (BIOL 0280)
 Introduction to Cell and Molecular Biology (BIOL 0500)
 (CSCI 0150) Introduction to ObjectOriented Programming and Computer Science
 (CSCI 0160) Algorithms and Data Structures  Prerequsite CSCI 0150
or
 (CSCI 0170) Computer Science: An Integrated Approach Part I
 (CSCI 0180) Computer Science: An Integrated Approach Part II Prerequisite (CSCI 0170)
or (CSCI 0190) Programming with Data Structures and Algorithms
 Plus, either CSCI 0180, 0320, 0330, 0510 or any 1000level course
All students must take the following course:
 (CSCI 0220) Introduction to Discrete Strucures and Probability)
Probability and Statistics:
 (APMA 1650) Statistical Inference I
or (CSCI 1450) Introduction to Probability and Grouping
or (MATH 1610) Probability
Computational Biology Core Course Requirements
 (CSCI 1810) Computational Molecular Biology
 (APMA 1080) Statistical Inference in Molecular Biology and Genomics
CAPSTONE EXPERIENCE
Students enrolled in the computational biology concentration will complete a research project in their senior year under faculty supervision. The themes of such projects evolve with the field and the technology, but should represent a synthesis of the various specialties of the program. A minimum of one semester of independent study is required (such as BIOL 1950 or CSCI 1970), although many students may conduct a full year of independent study.
HONORS
To be a candidate for honors, a student must have a course record judged to be excellent by the concentration advisor and must complete a thesis judged to be outstanding by the faculty member supervising the project.
PROGRAM TRACKS
Students must complete six courses in one of the following four tracks, as specified below:
Computational Genomics Track 
The Computational Genomics track is designed for students whose interests lie in the development of algorithms and highquality software (tools and systems) for biological applications. Students are required to select three from the following.
Students must also choose three from the following.


Biological Sciences Track 
This Biological Sciences track is designed for students whose interests lean more towards biological questions. Students are required to select four courses comprising a coherent theme in one of the following areas.

Molecular Modeling Track 
The Molecular Modeling track is designed for students who wish to gain competence in the field of molecular modeling and drug design. Students are required to take the following course.
Students are required to select at least three of the following.
Students must also choose two courses from the following.

Applied Mathematics and Statistical Genomics Track 
This Applied Mathematics and Statistical Genomics track is designed for students whose interest focuses on extracting information from genomic and molecular biology data, and modeling the dynamics of these systems. Substitution of more advanced courses with consent of the advisor is permitted. Students must choose three courses from the following.
Students must also choose at least three of the following:
