Postgraduate Course: AGQ Research Computing (MATH12045)
Course Outline
School | School of Mathematics |
College | College of Science and Engineering |
Credit level (Normal year taken) | SCQF Level 12 (Postgraduate) |
Availability | Not available to visiting students |
SCQF Credits | 15 |
ECTS Credits | 7.5 |
Summary | This course will introduce students to an advance computing methodology, with a mix of lectures and hands-on working.
Topics will come from a rota, including,
Programming mathematics in Lean (automated theorem-proving software)
Topological data analysis
Machine learning in topology and in QFT
Computer algebra systems such as Sage, Mathematica, Maple, MatLab |
Course description |
The aim is to learn new things to get a broad education in the area as a basis for a wide range of PhD projects and for post-PhD employment. Unless otherwise noted, the details of the content of this course can be found on the Scottish Mathematical Sciences Training Centre web site www.smstc.ac.uk, and/or the CDT webpage http://www.agq-cdt.org
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Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
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Co-requisites | |
Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Obtain fluency with cutting-edge research-level computing software
- Practice problem-solving, modeling, and data analysis skills.
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Reading List
Algebraic Topology, by Allen Hatcher |
Additional Information
Graduate Attributes and Skills |
Not entered |
Keywords | AGQ,RCom |
Contacts
Course organiser | Dr David Jordan
Tel: (0131 6)50 7210
Email: |
Course secretary | |
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