CLS Relevant Courses
CLS specialization requires 1 relevant course (3 credits) at the MS level and 2 relevant courses (6 credits) at the PhD level.
These include courses in areas of life science for which computation is a major tool and courses in computation and methodology that have "major" applicability to life sciences.
The Relevant Courses for the CLS track are listed below by department.
AGRY 530: Advanced Plant Genetics
AGRY 600: Genomics
ANSC 511/AGRY 511: Population Genetics
BCHM 521: Comparative Genomics
BCHM 561: General Biochemistry I
BCHM 562: General Biochemistry II
BCHM 60501: Macromolecules
BCHM 610: Regulation of Eukaryotic Gene Expression
BCHM 612: Bioinformatic Analysis of Genome Scale Data
BCHM 620: Protein Mass Spectrometry and Proteomics
BIOL 517: Molecular Biology: Proteins
BIOL 541: Molecular Genetics of Bacteria
BIOL 55001: Eukaryotic Molecular Biology
BIOL 56310: Protein Bioinformatics
BIOL 580: Evolution
BIOL 595: Cell Biology of Plants
BIOL 595: CryoEM 3D Reconstruction
BIOL 595: Introduction to Bioinformatics
BIOL 595: Practical Biocomputing
BIOL 611: Crystallography of Macromolecules
BIOL 647: Structure-Function of Membrane Proteins
BME 595/ME 577: Kinematics and Dynamics of Human Motion
CHM 579: Molecular Modeling and Simulations (Computational Chemistry)
CHM 671: Quantum Chemistry I
CHM 673: Computational Quantum Chemistry
CHM 676: Molecular Spectoscopy
CHE 525: Biochemical Engineering
CHE 633: Probabilistic Methods in Chemical Engineering
CS 501: Computing for Science and Engineering
CS 514/MA 514: Numerical Analysis
CS 515: Numerical Linear Algebra
CS 525: Parallel Computing
CS 530: Introduction to Scientific Visualization
CS 541: Database Systems
CS 573: Data Mining
CS 578: Statistical Machine Learning
CS 579: Bioinformatics Algorithms
CS 580: Algorithm Design, Analysis and Implementation
CS 615/MA 615: Numerical Methods For Partial Differential Equations I
ECE 528/BME 528: Measurement And Stimulation Of The Nervous System
ECE 580: Optimization Methods for Systems and Control (equivalent to CS 520/ IE 538)
ECE 662: Pattern Recognition and Decision-Making Processes
HSCI 525: Introduction to Statistical and Computational Approaches to Health Sciences
IE 538: Nonlinear Optimization Algorithms And Models (equivalent to CS 520/ ECE 580)
MA 523: Introduction to Partial Differential Equations
MA 527: Advanced Mathematics For Engineers And Physicists I
MA 532/STAT 532: Elements of Stochastic Processes
MCMP 570: Basic Principles of Chemical Action on Biological Systems
MCMP 690: Computer-Aided Drug Design
PHYS 570A: Computational Biomolecular Physics
PHYS 580: Computational Physics
STAT 503: Statistical Methods for Biology
STAT 512: Applied Regression Analysis
STAT 514: Design of Experiments
STAT 516: Basic Probability and Applications
STAT 517: Statistical Inference or STAT 525: Intermediate Statistical Methodology/STAT 526: Advanced Statistical Methodology
STAT 524: Applied Multivariate Analysis
STAT 549: An Introduction To QTL Mapping In Experimental Populations
STAT 598C: Statistical Methods for Bioinformatics and Computational Biology
STAT 598G: Introduction to Computational Statistics