Undergraduate Course: Modern Methods in Geometry and Topology (MATH11142)
Course Outline
School | School of Mathematics |
College | College of Science and Engineering |
Credit level (Normal year taken) | SCQF Level 11 (Year 5 Undergraduate) |
Availability | Available to all students |
SCQF Credits | 10 |
ECTS Credits | 5 |
Summary | This course will highlight important developments in geometry and topology throughout the preceding century, and train students to approach problems in these fields with a modern perspective. Topics will draw from the research interests and expertise of staff teaching the course. |
Course description |
The syllabus will vary from year-to-year. Possible topics include:
- Cohomological methods in geometry and topology
- Combinatorial algebraic geometry
- Classification of manifolds
- Homotopy theory
- Symplectic geometry
- Riemann surfaces
|
Information for Visiting Students
Pre-requisites | None |
High Demand Course? |
Yes |
Course Delivery Information
|
Academic year 2015/16, Available to all students (SV1)
|
Quota: None |
Course Start |
Semester 2 |
Timetable |
Timetable |
Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 22,
Seminar/Tutorial Hours 5,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
69 )
|
Assessment (Further Info) |
Written Exam
80 %,
Coursework
20 %,
Practical Exam
0 %
|
Additional Information (Assessment) |
Coursework 20%, Examination 80% |
Feedback |
Not entered |
Exam Information |
Exam Diet |
Paper Name |
Hours & Minutes |
|
Main Exam Diet S2 (April/May) | Modern Methods in Geometry and Topology (MATH11142) | 2:00 | |
Learning Outcomes
Students will learn one of the methods that have become essential for the study of Geometry and Topology during the 20th century. They will
1. be able to explain the method's underlying definitions and essential constructions, and
2. be able to provide examples illustrating them;
3. understand its application for fundamental results in the area, and be able to demonstrate this understanding by explaining key steps in the proof of these fundamental results; and
4. learn to apply this method as a problem-solving tool.
|
Additional Information
Graduate Attributes and Skills |
Not entered |
Keywords | MMGT |
Contacts
Course organiser | Prof Andrew Ranicki
Tel: (0131 6)50 5073
Email: |
Course secretary | Mr Thomas Robinson
Tel: (0131 6)50 4885
Email: |
|
© Copyright 2015 The University of Edinburgh - 21 October 2015 12:28 pm
|