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Genomics and Computational Biology

Curriculum

The basic structure for the 20 course requirements is a 7 — 5 — 8 pattern. Seven courses are required — details are given below. Students must take at least five additional courses, chosen after consultation with the Curriculum and Advising Committee. These five additional courses can be chosen from among required courses. Up to eight credit units may be taken with rotations, independent studies, etc. Students must take at least three rotations, again chosen after consultation with the Curriculum and Advising Committee.

Students who have previously taken any of the required courses listed below, or a course deemed by the Curriculum and Advising Committee to be equivalent to any required couse listed below, may substitute a "higher level" course in the same area with the agreement of the Curriculum and Advising Committee.

Each student is to decide whether he/she is in the experimental or the computational concentration of the program. Course requirements are different for the two concentrations.

Students may petition the Curriculum and Advising Committee to allow minor variations to the course requirements listed below.

Required courses for experimental concentration

Course Number

Course Name

Semester

GCB 537

Introduction to Genome Science

Fall

One of the following courses:

BMB 508

Macromolecules/Biophysics

Spring

BIOM 555

Regulation of the Genome

Spring

BIOM 600

Cell Biology and Biochemistry

Fall

GCB 536

Computational Biology

Spring

Two of the following courses:

CIT 591

Programming Languages and Techniques I

Fall

CIT 592

Mathematical Foundations of Computer Science

Fall

CIT 594

Programming Languages and Techniques II

Spring

CIT 550

Database and Information Systems

Fall

CAMB 550

Genetic Principles

Spring

BIOL 446

Statistics for Biologists

Fall

Required courses for computational concentration

Course Number

Course Name

Semester

GCB 531

Introduction to Genome Science

Fall

Two of the following courses:

CIS 500

Software Foundations

Fall

CIS 520

Introduction to Artificial Intelligence

Fall

CIS 502

Analysis of Algorithms

Fall or Spring

CIS 511

Theory of Computation

Fall or Spring

CIS 550

Database and Information Systems, or any 600-level CIS courses

Fall

BIOL 537/CIS 635

Advanced Computational Biology

Fall

BIOL 556

Advanced Statistics, or a suitable alternative

Spring

Two of the following courses:

BIOL 527

Molecular Biology and Genetics

Spring

CAMB 480

Advanced Cell Biology

BMB 508

Macromolecules/Biophysics

Spring

BIOM 555

Control of Gene Expression

Spring

BIOM 600

Cell Biology and Biochemistry

Fall

CAMB 539

Prokaryotic Molecular Genetics

Fall

CAMB 550

Genetic Principles

Spring