MA421      Half Unit
Advanced Algorithms

This information is for the 2013/14 session.

Teacher responsible

Dr Tugkan Batu


This course is available on the MSc in Applicable Mathematics, MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in Statistics (Financial Statistics) (Research) and MSc in Statistics (Research). This course is available as an outside option to students on other programmes where regulations permit.


Students must have completed Algorithms and Computation (MA407).
Algorithms and Computation or equivalent.

Course content

Introduction to NP-completeness. Approximation Algorithms. Randomised Algorithms. Streaming Algorithms. Numerical Algorithms.


20 hours of lectures and 10 hours of seminars in the LT. 2 hours of lectures in the ST.

Formative coursework

Weekly exercises are set and marked. Some of these will require implementation of programming exercises in Java.

Indicative reading

T H Cormen, C E Leiserson, R L Rivest, and C Stein, Introduction to Algorithms; V Vazirani, Approximation Algorithms; R Motwani and P Raghavan, Randomized Algorithms.


Exam (75%, duration: 2 hours) in the main exam period.
Coursework (25%) in the ST.

Key facts

Department: Mathematics

Total students 2012/13: Unavailable

Average class size 2012/13: Unavailable

Value: Half Unit

Guidelines for interpreting course guide information