Major::Bioinformatics

Bioinformatics Concentration

Bioinformatics is the application of computer technology to the management of biological information. Computers are used to gather, store, analyze and integrate biological and genetic information. (For further information on bioinformatics, see the UCLA Bioinformatics Graduate Program website.)

APPROVED LIST - CONCENTRATIONS FOR THE ACADEMIC YEAR 2006-2007

Recommended courses are shown with *. Tentative schedule in parentheses.

Consult Curricular & Courses at www.registrar.ucla.edu/catalog/ for detailed course descriptions.

I. The following 3 premajor Program in Computing (PIC) courses (14 units) (in addition to PC 10A or CS 31 required in the premajor):

PIC 10B	Intermediate Programming	(W,Sp )
PIC 10C	Advanced Programming	(Sp)
PIC 60	Data Structures and Algorithms	(W)
	OR
the following 2 premajor Computer Science (CS) courses (8 units) (in addition to PIC 10A or CS 31 required in the premajor):
CS32	Introduction to Computer Science II	(F,W,Sp)
CS 180	Introduction to Algorithms and Complexity	(F,W,Sp)

II. Six additional courses selected from the following 3 groups. At least one course from each Group A, B and C must be included, and the entire 6 must form a coherent set, as justified in the student's narrative submitted when applying to the Major. These courses must be chosen in consultation with a faculty mentor and approved by the Program Chair.

(A) BI Methodology

Math 113	Combinatorics
Math 134	Linear and Nonlinear Systems of Differential Equations
Math 142	Mathematical Modeling
EE 103 or Math 151A	Applied Numerical Methods
Math 151B	Applied Numerical Methods
Math 170B	Probability Theory
EE 131B or Math 171	Stochastic Processes
Math 191	Bioinfor-math-ics
EE 142	Linear Systems
Stats M254/Biomath M271	Statistical Methods in Computational Biology
Statistics 165	Statistical Methods and Data Mining in Microarray Analysis
Statistics C180	Introduction to Bayesian Statistics
Biomath 106	Introduction to Cellular Modeling
Biomath 108	Introduction to Modeling in Neurobiology
Human Genetics C144	Genomic Technology
Human Genetics M207A	Theoretical Genetic Modeling (same as Biomath 207A, Biostats M272) (really rigorous, elegant complement to BI, for the strong at heart only)
Human Genetics M207B	Applied Genetic Modeling (same as Biomath 207B, Biostats M237) (more applied, less rigorous, but still substantive. Requires Biostats 110A/B)

(B) BI Computer Science

Math 157	Software Techniques for Scientific Computing
PC 110	Parallel and Distinguished Computing (5 units)
CS 130	Software Engineering
CS 143	Introduction to Data Base Systems
CS 170A	Mathematical Modeling & Methods for Computer Science
CS 171L	Data Communications Lab (2-4 units)
CS 180	Introduction to Algorithms and Complexity
CS 181	Introduction to Formal Languages & Automata Theory
CS CM186C/CM286C	Biomedical Systems/Biocybernetics Research Lab
CS M296A	Modeling Methodology in Biological Systems

(C) BI Molecular & Cellular Biochemistry

MCDB 100	Introduction to Cell Biology
MCDB 156	Human Genetics
MIMG 101	Introductory Microbiology
MIMG 101L	Introductory Microbiology Lab
MIMG 106	Molecular and Genetic Basis of Bacterial Infections
MIMG 168	Molecular Parasitology (good biological systems analysis course)
MIMG 185A	Immunology
Chemistry 110A	Physical Chemistry: Chemical Thermodynamics
Chemistry 110B	Physical Chemistry: Intro to Statistical Mechanics & Kinetics
Chemistry 125	Computers in Chemistry
Chemistry 153A	Biochemistry: Intro to Structure, Enzymes & Metabolism
Chemistry 153B	Biochemistry: DNA, RNA and Protein Synthesis
Chemistry 153G	Macromolecular Structure
Chemistry 156	Physical Biochemistry
Chemistry CM160A/CM260A*	Introduction to Bioinformatics (NEW Pre-Requisite: PIC60 or CS 180)	A must!
Chemistry C160B/C260B	Algorithms in Bioinformatics and Systems Biology
Biological Chemistry CM169	Cell Structure, Signaling and Differentiation (Same as Human Genetics and MCDB CM169)
Biological Chemistry CM178	Molecular Genetics (Same as Human Genetics and MCDB CM178)

MAJOR

Bioinformatics Concentration

Bioinformatics is the application of computer technology to the management of biological information. Computers are used to gather, store, analyze and integrate biological and genetic information. (For further information on bioinformatics, see the UCLA Bioinformatics Graduate Program website.)

APPROVED LIST - CONCENTRATIONS FOR THE ACADEMIC YEAR 2006-2007