Postgraduate Course: Computing Skills for Drug Discovery (PGBI11069)
Course Outline
| School | School of Biological Sciences |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Not available to visiting 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 | **Online Distance Learning Course**
Next Generation Drug Discovery necessarily will involve students being able to perform computing tasks that won&©t always be &«off the shelf&ª. Often these will involve short programs to change formats to link together software that hasn&©t been designed to be interoperable; or it will involve parsing out text from searches, or comparing lists from different sources. Students should also be competent at writing web interfaces to these programs so that they can be shared, and so be independent of operating system or programming language. The course will involve students writing their own programming solutions to authentic tasks in Drug Discovery. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Course Delivery Information
|
| Delivery period: 2013/14 Semester 2, Not available to visiting students (SS1)
|
Learn enabled: No |
Quota: None |
|
Web Timetable |
Web Timetable |
| Course Start Date |
13/01/2014 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
98 )
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| Additional Notes |
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| No Exam Information |
Summary of Intended Learning Outcomes
At the end of this course students should be able to:
&· Code, test and document programs to change formats of data to allow other programs to work in a pipeline, and to extract data and compare it from different sources;
&· Write web interfaces to programs;
&· Code an unfamiliar equation, attaching the variables to sliders to investigate the behaviour of the equation;
&· Appreciate the utility of documenting and reusing programming code in new contexts;
&· Implement robust backup of work;
&· Appreciate maintenance of computer software;
&· Acquire knowledge of how to script common tasks
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Assessment Information
50% = Group Assessment (including maximum 20% variation for Peer Assessment of contribution)
50% = Electronic Portfolio (comprising of learning log and contribution to skills profile)
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Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | CompSkillsDD |
Contacts
| Course organiser | Dr Paul Taylor
Tel: (0131 6)50 7058
Email: p.taylor@ed.ac.uk |
Course secretary | Miss Vicky Mactaggart
Tel: (0131 6)51 7052
Email: Vicky.Mactaggart@ed.ac.uk |
|
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