qCMB fellows must complete the following coursework:
| 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 |
|---|---|---|
| CM 505 | Nucleic Acids for Non-Life Scientists | 1 |
| CM 506 | Protein Basics for NonBiologists | 1 |
| 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 |
