Postgraduate Course: Bioinformatics Algorithms (PGBI11057)
Course Outline
| School |
School of Biological Sciences |
College |
College of Science and Engineering |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
10 |
| Home subject area |
Postgraduate |
Other subject area |
None |
| Course website |
None
|
Taught in Gaelic? |
No |
| Course description |
Algorithms are a set of rules that allow a problem to be solved, often encoded in a computer programme. Algorithms are ubiquitous in bioinformatics and are often at the interface of computer science and biology.
All bioinformatics students need a good understanding of algorithms, in order to select appropriate methods to solve a given task, to understand the outputs of bioinformatics software and to write software that solves particular bioinformatics problems. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites |
|
| Prohibited Combinations |
|
Other requirements |
None
|
| Additional Costs |
None |
Information for Visiting Students
| Pre-requisites |
None |
| Displayed in Visiting Students Prospectus? |
No |
Course Delivery Information
|
| Delivery period: 2011/12 Semester 2, Available to all students (SV1)
|
WebCT enabled: Yes |
Quota: 25 |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| No Classes have been defined for this Course |
| First Class |
Week 18, Wednesday, 12:10 - 13:00, Zone: King's Buildings. Darwin 315 |
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
|
|
| Main Exam Diet S2 (April/May) | Bioinformatics Algorithms | 2:00 | | |
Summary of Intended Learning Outcomes
* Students will be able to characterise a given algorithm class and describe the basic properties of this algorithm.
* Students will be able to write a computer programme encoding a given algorithm using a programming language of their choice.
* Students will be able to select an appropriate algorithm to solve a given task. |
Assessment Information
1. Examination (80%)
2. Written Assessment (20%) |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
In this course we will cover:
- The theory of algorithms - e.g. how to formally describe an algorithm, what makes a good algorithm, classes of algorithm.
- The implementation of algorithms in software applications
- Searching algorithms - both exhaustive and heuristic
- Dynamic programming algorithms - such as Smith-Waterman local sequence alignment
- Graph-based algorithms
- Clustering and Tree-based algorithms
- Hidden Markov Models
- Genetic Algorithms |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords |
BioinfAlgor |
Contacts
| Course organiser |
Dr Simon Tomlinson
Tel: (0131 6)51 7252
Email: simon.tomlinson@ed.ac.uk |
Course secretary |
Miss Vicky Mactaggart
Tel: (0131 6)51 7052
Email: Vicky.Mactaggart@ed.ac.uk |
|
copyright 2011 The University of Edinburgh -
1 September 2011 6:32 am
|
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