CS147 Discrete Mathematics and Its Applications 2
CS147-10 Discrete Mathematics and Its Applications 2
Introductory description
This module is designed to introduce students to language and methods of the area of Discrete Mathematics.
Module aims
The focus of the module is on basic mathematical concepts in discrete maths and on applications of discrete mathematics in algorithms and data structures. One of the aims will be to show students how discrete mathematics can be used in modem computer science (with the focus on algorithmic applications).
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
Big-Oh notation and its use in the analysis of algorithms.
Basic concepts from graph theory; such as trees, matchings, euler tours, colorings and cuts.
Applications of discrete probability; such as probabilistic method, random walks and entropy.
Learning outcomes
By the end of the module, students should be able to:
- Understand the notion of mathematical thinking, mathematical proofs, and algorithmic thinking, and be able to apply them in problem solving.
- Understand asymptotic notation, its significance, and be able to use it to analyse the runtimes of algorithms.
- Understand some basic properties of graphs and discrete probability, and be able to apply the methods from these subjects in problem solving.
Indicative reading list
To be finalised.
Subject specific skills
Basic knowledge of graph theory and its applications in algorithms
Basic knowledge of discrete probability and its applications in algorithms
Understanding and using asymptotic notations in design and analysis of algorithms
Transferable skills
Communication - Reading and writing mathematical proofs
Critical thinking - problem solving
Study time
Type | Required |
---|---|
Lectures | 30 sessions of 1 hour (30%) |
Seminars | 9 sessions of 1 hour (9%) |
Private study | 31 hours (31%) |
Assessment | 30 hours (30%) |
Total | 100 hours |
Private study description
Revision of lectures
Going through the problems solved during seminar sessions
Solving past exam papers
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group D
Weighting | Study time | |
---|---|---|
Coursework | 20% | 10 hours |
Homework exercise consisting of several problems. |
||
CS137 exam (Summer) | 80% | 20 hours |
CS137 final exam (Summer)
|
Assessment group R
Weighting | Study time | |
---|---|---|
CS137 resit exam (September) | 100% | |
|
Feedback on assessment
Marked scripts available on students' request
There is currently no information about the courses for which this module is core or optional.
Further Information
Term 2
10 CATS (5 ECTS)
Module Organisers:
Ramanujan Sridharan
Sayan Bhattacharya