ALS-5224: Introduction to Genomic Data Science
Description: Analysis of genomic data for applications in agriculture and life sciences. Computational tools for genomic data processing and quality control. Interpret results from genomic experiments. Summary statistics, machine learning and methods of visualization for genomic data. High Performance Computing (HPC) systems for genomic analysis. Genomic data analysis pipelines. Pre: Graduate standing.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 6
Average GPA: 3.97 (rounds to A)
Strict A Rate (No A-) : 96.40%
Average Withdrawal Rate: 0.00%
| David C Haak | 2024 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 4.00 | 2 |
| Song Li | 2022 | 96.7% | 2.3% | 1.0% | 0.0% | 0.0% | 0.0% | 3.96 | 4 |