
Academic Year:  2018/9  
Owning Department/School:  Department of Computer Science  
Credits:  6 [equivalent to 12 CATS credits]  
Notional Study Hours:  120  
Level:  Intermediate (FHEQ level 5)  
Period: 
 
Assessment Summary:  CW 25%, EX 75%  
Assessment Detail: 
 
Supplementary Assessment: 
 
Requisites:  Before taking this module you must ( take CM10227 AND take CM10228 ) OR take XX10190 OR take EE10134  
Description:  Aims: To build on the students' understanding of algorithms and data structures and how to apply them. To facilitate the empirical assessment of algorithmic differences. Learning Outcomes: On completion of this unit, students will be able to: 1. determine the complexity of a variety of algorithms 2. carry out basic comparative empirical assessments of implementations of alternative algorithms 3. choose the right algorithms and data structures for the task in hand 4. General understanding of modern public key cryptography by the example of RSA cryptosystem. Skills: Use of IT (T/F, A), Problem Solving (T/F, A). Content: Complexity. Best, worst and average cases; time, space and other measures; big Ο, big Θ and big Ω; analysis of algorithms like selectionsort, heapsort, integer multiplication, recursive algorithms and others. Data structures. Lists, stacks, queues, trees, hash tables, graphs, etc. Algorithms and data structures in practice. The effect of the "hidden constant", and crossover points between algorithms, e.g., when to prefer bubblesort over quicksort; polyalgorithms; the gap between algorithms and implementations; how data structures affect the complexity of an implementation; computationally hard problems in everyday life. Complexity of integer factorization and primality testing with application to RSA public key cryptosystem.  Before taking this module you must ( take CM10227 AND take CM10228 ) OR take XX10190 OR take EE10134 
Programme availability: 
CM20254 is Compulsory on the following programmes:Department of Computer Science
CM20254 is Optional on the following programmes:Department of Computer Science

Notes:
