MA421 Half Unit
Advanced Algorithms
This information is for the 2014/15 session.
Teacher responsible
Dr Tugkan Batu
Availability
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.
Pre-requisites
Students must have completed Algorithms and Computation (MA407) or equivalent.
Course content
Introduction to NP-completeness. Approximation Algorithms. Randomised Algorithms. Streaming Algorithms. Numerical Algorithms.
Teaching
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.
Assessment
Exam (75%, duration: 2 hours and 30 minutes) in the main exam period.
Coursework (25%) in the ST.
Key facts
Department: Mathematics
Total students 2013/14: 11
Average class size 2013/14: 12
Controlled access 2013/14: No
Lecture capture used 2013/14: No
Value: Half Unit
