Undergraduate Course: Solving Equations (MATH08002)
Course Outline
| School |
School of Mathematics |
College |
College of Science and Engineering |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 8 (Year 1 Undergraduate) |
Credits |
10 |
| Home subject area |
Mathematics |
Other subject area |
Specialist Mathematics & Statistics (Year 1) |
| Course website |
https://info.maths.ed.ac.uk/teaching.html
|
Taught in Gaelic? |
No |
| Course description |
Core first year course for Honours Degrees in Mathematics and/or Statistics. Syllabus summary: Sets and functions, elementary combinatorics, powers, trigonometric and hyperbolic functions, logarithmic and exponential functions, complex numbers, polynomials, matrices, solving systems of linear equations, determinants, eigenvalues and eigenvectors. |
Information for Visiting Students
| Pre-requisites |
None |
| Displayed in Visiting Students Prospectus? |
Yes |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 1, Available to all students (SV1)
|
WebCT enabled: Yes |
Quota: 272 |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-11 | | | | | 12:10 - 13:00 | | Central | Lecture | | 1-11 | | | 12:10 - 13:00 | | |
| First Class |
Week 1, Wednesday, 12:10 - 13:00, Zone: Central. Appleton Tower, Lecture Theatre 5 |
| Additional information |
Tutorials: Tu at 9:00, 1110 and 1210. |
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
Stationery Requirements |
Comments |
| Main Exam Diet S1 (December) | Solving Equations | 2:00 | Nil. No YAF | | | Resit Exam Diet (August) | | 2:00 | nil. No YAF. | |
Summary of Intended Learning Outcomes
1. Fluent facility in the use of the logarithm and exponential functions, trigonometric and hyperbolic functions, complex numbers.
2. Ability to find the general solution to systems of linear equations by Gaussian elimination.
3. Ability to perform algebraic manipulations with matrices.
4. Ability to calculate determinants, eigenvalues and eigenvectors of n x n matrices (up to n=3 in practice, larger n in principle or with computer assistance).
|
Assessment Information
Coursework (which may include a Project): 15%; Degree Examination: 85%.
Visiting Student Variant Assessment
Coursework (which may include a Project): 40%
Examination: 60%. |
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 |
SEq |
Contacts
| Course organiser |
Dr Toby Bailey
Tel: (0131 6)50 5068
Email: t.n.bailey@ed.ac.uk |
Course secretary |
Miss Louise Durie
Tel: (0131 6)50 5050
Email: L.Durie@ed.ac.uk |
|
copyright 2011 The University of Edinburgh -
31 January 2011 7:58 am
|
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