Breadcrumb
- Home
- Program Information
- Computational Genetics Subtrack
- Course Descriptions
Course Descriptions
Main navigation
1. Prerequisites1
| Course | Semester Hours |
|---|---|
| Biochemistry (BIOC:3110 or BIOC 3120 and BIOC:3130 or equivalent) | 3-8 s.h. |
| Organic Chemistry (2 semesters) | 6-8 s.h. |
| Fundamental Genetics | 3-4 s.h. |
| Introductory Physics, one year, college level | 6-8 s.h. |
| Calculus or Statistics, one year of either | 6-8 s.h. |
1 Note: These prerequisites would be typical for a student entering with a Biology background. Students entering with a Computational background may need to make up missing courses; the trade-off is that these students will typically require fewer computer language courses, for example.
2. Genetics (9 sh) (assuming Fundamental Genetics and Biochemistry are taken as prerequisites)
| Course Number | Course | Semester Hours |
|---|---|---|
| BMED:5207 | Principles of Molecular and Cellular Biology | 3 s.h. |
| Core Genetics (BIOL:3713, BIOL:3172, BIOL:4333, GENE:7191, or equivalent | 3-4 s.h. | |
| GENE:6150 | Genetic Analysis of Biological Systems | 3 s.h. |
3. Computing (6-9 sh) (credit for previous classes available)
| Course Number | Course | Semester Hours |
|---|---|---|
| CS:3210 | Programming Languages and Tools (may be taken multiple times) | 3 s.h. |
| Other appropriate computing courses (e.g., BIOS:5510: Intro to R programming) | Varies |
4. Statistics (3 sh)
| course number | Course | Semester Hours |
|---|---|---|
| STAT:3510 | Biostatistics (or equivalent) | 3 s.h. |
| BIOS:4120 | Introduction to Biostatistics | 3 s.h. |
5. Bioinformatics Electives (12 sh)
| Course number | course | Semester Hours |
|---|---|---|
| BIOL:4213 | Bioinformatics | 2 - 4 s.h. |
| BIOS:5120 | Regression and ANOVA for the Health Sciences | 3 s.h. |
| BIOS:6720 | Machine Learning for Biomedical Data | 3 s.h. |
| BIOS:7330 | Advanced Biostatistical Computing | 3 s.h. |
| BME:5320 | Bioinformatics Techniques | 3 s.h. |
| BME:5330 | Computational Genomics | 3 s.h. |
| CS:5430 | Machine Learning | 3 s.h. |
| IGPI:6480 | Knowledge Discovery | 3 s.h. |
| ISE:6380 | Deep Learning | 3 s.h. |
| STAT:4580 | Data Visualization and Data Technologies | 3 s.h. |
| BIOS:7700 | Problems/Special Topics in Biostatistics | 3 s.h. |
6. Seminar and Scholarly Integrity
| Course Number | Course | Semester hours |
|---|---|---|
| BMED:7270 | Scholarly Integrity/Responsible Conduct of Research I | 0 s.h. |
| BMED:7271 | Scholarly Integrity/Responsible Conduct of Research II | 0 s.h. |
| GENE:6200 | Current Topics in Genetics (taken each spring) | 1 s.h. |
| GENE:6210 | Seminars in Genetics (taken each semester) | 1 s.h. |