Year 1:
- CM515 – Introduction to Computational Cell & Molecular Biology (2 credits)
- NCI575 – Ethics of Big Data Research (1 credit)
Year 1:
Year 2:
Students entering with extensive computational experience and a weaker biology background will be provided with an academic plan that builds their biological knowledge over quantitative skills.
Course | Title | Credit Value |
---|---|---|
MATH 340 | Introduction to Ordinary Differential Equations | 4 |
DSCI 510 | Linux as a Computational Platform | 1 |
CBE 160 | MATLAB for Chemical and Biological Engineers | 1 |
BC 571 | Quantitative Biochemistry | 1 |
GSLL 3095 | Math Skills for Statistical Analysis | 0 |
GSLL 3096 | Comp. Skills for Statistical Analysis | Varied |
Course | Title | Credit |
---|---|---|
BC 463 | Molecular Genetics | 3 |
BC 465 | Molecular Regulation of Cell Function | 3 |
BC 351 | Principles of Biochemistry | 4 |
BC 401 | Comprehensive Biochemistry I | 3 |
BC 403 | Comprehensive Biochemistry II | 3 |
BZ 310 | Cell Biology | 4 |
BZ 350 | Molecular and General Genetics | 4 |
Course | Title | Credit |
---|---|---|
ERHS 730 | Principles of Flow Cytometry & Cell Sorting | 2 |
MIP 565 | Next Generation Sequencing Platform/Libraries | 1 |
NSCI 677 | Microscopic Image Collection & Processing | 2 |
BC 665A | Advanced Topics in Cell Regulation: Microscopic Methods | 2 |
Course | Title | Credit |
---|---|---|
MIP 565 | Next Generation Sequencing Platform / Libraries | 1 |
DSCI 511 | Genomics Data Analysis in Python | 2 |
DSCI 512 | RNA-Sequencing Data Analysis | 1 |
MIP 545 | Microbial Metagenomics/Genomics Data Analysis | 2 |
HORT 579 | Mass Spectrometry Omics - Methods and Analysis | 3 |
CS 548 | Bioinformatics Algorithms | 4 |
CS 646 | Machine Learning in Bioinformatics | 4 |
NSCI 696E | Group Study: Analysis of High-Throughput Sequencing Data | 1 |
Course | Title | Credit |
---|---|---|
STAT 512 | Design and Data Analysis for Researchers II | 4 |
STAT 560 | Applied Multivariate Analysis | 3 |
STAA 566 | Data Visualization Methods | 1 |
ERHS 535 | R Programming for Research | 3 |
DSCI 473 | Introduction to Geometric Data Analysis | 2 |
DSCI 475 | Topological Data Analysis | 2 |
MATH 532 | Mathematical Modeling of Large Data Sets | 3 |
CS 510 | Image Computation | 4 |
BZ 577 | Computer Analysis in Population Genetics | 2 |
GRAD 510 | Fundamentals of High Performance Computing | 3 |
GRAD 511 | High Performance Computing and Visualization | 3 |