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Curricular information is subject to change
At the end of the course students should: -be aware of most of the main goals and problems in computational biology; -understand dynamic programming techniques and be able to replicate at least manually the main dynamic programming techniques for biological sequences; -be familiar with the main public molecular biology databases ; -understand the goals of molecular phylogeny, and be aware of the main techniques proposed to compute phylogenies; -understand the basic concepts of protein structure prediction
Student Effort Type | Hours |
---|---|
Lectures | 12 |
Practical | 32 |
Autonomous Student Learning | 56 |
Total | 100 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Assignment(Including Essay): Assignment 1, on dynamic programming | Week 3 | Alternative linear conversion grade scale 40% | No | 10 |
No |
Assignment(Including Essay): Assignment 2, on data discovery on public repositories | Week 5 | Alternative linear conversion grade scale 40% | No | 10 |
No |
Assignment(Including Essay): Assignment 3, on phylogenetics | Week 8 | Alternative linear conversion grade scale 40% | No | 10 |
No |
Assignment(Including Essay): Assignment 4, on protein structure prediction | Week 10 | Alternative linear conversion grade scale 40% | No | 10 |
No |
Exam (In-person): Standard final exam with multiple questions about the course. | End of trimester Duration: 2 hr(s) |
Alternative linear conversion grade scale 40% | No | 60 |
No |
Resit In | Terminal Exam |
---|---|
Autumn | No |
• Feedback individually to students, post-assessment
Not yet recorded.