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 |
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Co-requisites | |
Prohibited Combinations | It is RECOMMENDED that students do NOT also take
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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
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Delivery period: 2014/15 Semester 1, Available to all students (SV1)
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Learn enabled: Yes |
Quota: None |
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Web Timetable |
Web Timetable |
Course Start Date |
15/09/2014 |
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 )
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Additional Notes |
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Breakdown of Assessment Methods (Further Info) |
Written Exam
80 %,
Coursework
20 %,
Practical Exam
0 %
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Exam Information |
Exam Diet |
Paper Name |
Hours & Minutes |
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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
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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: |
Course secretary | Miss Vicky Mactaggart
Tel: (0131 6)51 7052
Email: |
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© Copyright 2014 The University of Edinburgh - 13 February 2014 1:55 pm
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