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 |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | 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. |
| Course description |
Algebra
Definition of vectors and matrices
Row reduction to echelon form
Solving linear equations with matrices, Gaussian elimination
Matrix addition, subtraction, multiplication, transpose, inversion
Determinants
Geometrical interpretation of inhomogeneous and homogeneous equations
and determinants
Geometry
Pythagoras' Theorem and trigonometric ratios
Cartesian coordinates
Equation of a line in the plane, intersection of lines
2D vector addition, subtraction, scaling, and dot product
Unit vectors, section formulae, vector equation of a line
Vectors in 3D, parametric equation of a line, vector product
Planes in 3D, parametric equation of a plane
Intersections of lines and planes
Crystallographic applications
Maps and transformations: projection, rotation, dilation, reflection, identity
and inversion
Linear transformations and the geometrical interpretation of eigenvalues
and eigenvectors
|
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. |
Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
|
| Academic year 2017/18, Available to all students (SV1)
|
Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| 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 )
|
| Assessment (Further Info) |
Written Exam
80 %,
Coursework
20 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
In-course assessment (worth 20%)
Final written examination in December diet (worth 80%) |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S1 (December) | Applicable Mathematics for MSc Drug Discovery and Translational Biology | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
- do basic manipulations on matrices including row reduction, addition, subtraction, multiplication, inversion
- understand how matrices can be used to solve simultaneous linear equations and use Gaussian elimination to achieve this
- understand how vectors can be used to represent lines and planes in 2D and 3D Cartesian coordinate systems and to be able to find the intersections between them
- find angles between lines using the dot product and find areas and volumes using vector and triple vector product
- apply linear maps to vector spaces and find their corresponding eigenvalues and eigenvectors and understand what these represent
|
Reading List
Recommended Textbook
Basic Algebra and Geometry, Hirst and Singerman 2006, Pearson
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Additional Information
| Graduate Attributes and Skills |
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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