Postgraduate Course: Applicable Mathematics for MSc Drug Discovery and Translational Biology (PGBI11029)
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 | This course will provide the essential mathematical tools to approach problems in computational structural biology. Vector and matrix algebra and their applications in crystallographic computing will be covered. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | It is RECOMMENDED that students do NOT also take
|
Other requirements | School mathematics at approximately A-level in the English system.
Not recommended for students studying on a Mathematic programme. |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
|
| Delivery period: 2013/14 Semester 1, Available to all students (SV1)
|
Learn enabled: Yes |
Quota: None |
|
Web Timetable |
Web Timetable |
| Course Start Date |
16/09/2013 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 20,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
76 )
|
| Additional Notes |
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
80 %,
Coursework
20 %,
Practical Exam
0 %
|
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S1 (December) | Applicable Mathematics for MSc Drug Discovery and Translational Biology | 2:00 | |
Summary of Intended Learning Outcomes
- calculate distances between points
- rotate and translate points in 3d
- transform coordinates between different coordinate systems
- calculate angles between lines
- understand methods to solve set of linear equations
- understand optimisation approaches used in crystallographic refinement/energy minimisation
|
Assessment Information
In-course assessment (worth 20%)
Final written examination in December diet (worth 80%) |
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 | AppMaths |
Contacts
| Course organiser | Dr Nick Savill
Tel: (0131 6)50 7573
Email: nick.savill@ed.ac.uk |
Course secretary | Miss Vicky Mactaggart
Tel: (0131 6)51 7052
Email: Vicky.Mactaggart@ed.ac.uk |
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© Copyright 2013 The University of Edinburgh - 13 January 2014 4:47 am
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