Courses
CORE
AMS 507 Introduction to Probability
The topics include sample spaces, axioms of probability, conditional probability and
independence, discrete and continuous random variables, jointly distributed random
variables, characteristics of random variables, law of large numbers and central limit
theorem, Markov chains. Note: Crosslisted with HPH 696.
Fall, 3 credits, ABCF grading
AMS 507 webpage
AMS 510 Analytical Methods for Applied Mathematical Methods
AMS 533 Numerical Methods and Algorithms in Computational Biology
CHE 541/MCB 520 Graduate Biochemistry
AMS 531 Laboratory Rotations in Computational Biology
AMS 532 Journal Club in Computational Biology
AMS 535 Introduction to Computational Structural Biology and Drug Design
AMS 537 Biological Networks and Dynamics
CSE 549/AMS XXX Computational Biology
ELECTIVES
AMS 530 Principles of Parallel Computing
AMS 534 Introduction to Systems Biology
AMS 536 Molecular Modeling of Biological Molecules
CHE 538 Statistical Mechanics
CHE 533 Chemical Thermodynamics
PHY 558 Physical and Quantitative Biology
Electives may also be chosen from any area relevant to computational biology, based
on the specific interests of the student. The student in encouraged to consult with
a faculty advisor in advance of choosing electives. Likley areas of specialization
may include:
- Computational applied math
- Optimzation and simulation of complex systems
- Structural biology/biochemistry
- Developmental/cell biology
- Biostatistics