MA314      Half Unit
Algorithms and Programming

This information is for the 2017/18 session.

Teacher responsible

Dr Paul Duetting

Availability

This course is available on the BSc in Business Mathematics and Statistics, BSc in Mathematics and Economics, BSc in Mathematics with Economics and BSc in Statistics with Finance. This course is available as an outside option to students on other programmes where regulations permit. This course is available with permission to General Course students.

Pre-requisites

Introduction to Abstract Mathematics (MA103), or an equivalent course giving a background in rigorous mathematics.

Course content

Introduction to theory of algorithms and basics of Python programming. The Euclidean algorithm. Time complexity of algorithms. Asymptotic notation. Heaps. Sorting. Recursive algorithms. Stacks and queues. Linked lists. Graphs. Breadth-first and depth-first search. Connectivity and topological sorting. Dijkstra's algorithm. Closest pair in the plane.

Teaching

22 hours of lectures and 10 hours of classes in the LT.

Formative coursework

Written answers to set problems will be expected on a weekly basis.

Indicative reading

T H Cormen, C E Leiserson & R L Rivest, Introduction to Algorithms, MIT Press 1990 (or 2nd edn, 2001 or 3rd edn, 2009)

Assessment

Exam (80%, duration: 2 hours) in the main exam period.
Coursework (20%) in the LT.

Key facts

Department: Mathematics

Total students 2016/17: 32

Average class size 2016/17: 16

Capped 2016/17: No

Lecture capture used 2016/17: Yes (LT)

Value: Half Unit

Guidelines for interpreting course guide information

PDAM skills

  • Self-management
  • Problem solving
  • Application of information skills
  • Communication
  • Application of numeracy skills
  • Specialist skills