MA421 Half Unit
Advanced Algorithms
This information is for the 2016/17 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 have taken an equivalent course to provide a basic knowledge in analysis of algorithms: running time and correctness of an algorithm, basic knowledge in computer programming, preferably, in Java language, and should have experience with proofs and proof techniques used in pure mathematics.
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 2015/16: 10
Average class size 2015/16: 10
Controlled access 2015/16: No
Value: Half Unit
