BINF 6205: Computational Molecular Evolution
University of North Carolina, Charlotte
Covers both the theoretical and practical aspects of performing phylogenetic analyses, with particular emphasis on understanding the differences and applications of the most commonly used methods.� Topics to be covered will include: finding the appropriate data and getting it into the right format; using distance-based and probability-based methods to construct phylogenetic trees; understanding and calibrating the molecular clock to calculate divergence times; incorporating "big data" into phylogenetics, and estimating population parameters such as population size, growth, and migration rates.�
Average GPA: 3.62
Grade distribution records: 69 students across 7 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 42 | 60.9% |
| B | 18 | 26.1% |
| C | 3 | 4.3% |
| W | 6 | 8.7% |
Based on 69 student grade records across 7 terms and 2 professors.
Instructors
- Elizabeth Cooper 66 students, Average GPA 3.60
- Daniel Janies 3 students, Average GPA 4.00