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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2024/2025

Timetable information in the Course Catalogue may be subject to change.

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DRPS : Course Catalogue : School of Mathematics : Mathematics

Postgraduate Course: AGQ Collaborative Computing Project (MATH12036)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 12 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits15 ECTS Credits7.5
SummaryThis course will introduce students to collaborative computing environments such as GitHub, and to the etiquettes and practices which make for a successful programming venture.
Course description This course will introduce students to collaborative computing environments such as GitHub, and to the etiquettes and practices which make for a successful programming venture. It will follow on the Research Computing course, and lay out a clearly defined task for the students to complete, using advanced research computing tools.
Projects are envisioned to run, in rotation year to year, on:
Lean computer-assisted theorem proving
Machine learning in context of quantum field theory
Quantum computing
Computer algebra (Sage, GAP, Magma, etc)
The precise syllabus for each year's instantiation of this course can be found on the CDT webpage http://www.agq-cdt.org
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2024/25, Not available to visiting students (SS1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 150 ( Lecture Hours 10, Programme Level Learning and Teaching Hours 3, Directed Learning and Independent Learning Hours 137 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Coursework : 100%«br /»
Examination : 0%
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Work in professional computing development environments.
  2. Collaborate synchronously and asynchronously on programming tasks.
  3. Model sophisticated research problems using available software packages
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsAGQ,CCom
Contacts
Course organiserDr David Jordan
Tel: (0131 6)50 7210
Email:
Course secretary
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