Skip to main content Skip to navigation

WM3B2-24 Data Science, Algorithms and Complexity in the Cyber Context

Department
WMG
Level
Undergraduate Level 3
Module leader
Christo Panchev
Credit value
24
Module duration
30 weeks
Assessment
Multiple
Study location
University of Warwick main campus, Coventry

Introductory description

This module develops the central concepts and skills required to design, implement and analyse algorithms for solving problems. Algorithms are essential in all advanced areas of technical cyber security and related subjects, including artificial intelligence, databases, data science, distributed computing, graphics, networking, operating systems, programming languages and security. An important part of using them well is the ability to select algorithms appropriate to particular purposes and to apply them, recognising the possibility that no suitable algorithm may exist. This facility relies on understanding the range of algorithms that address an important set of well- defined problems, recognising their strengths and weaknesses, and their suitability in particular contexts in combination with complementary data structures. Efficiency is a pervasive theme and a clear understanding of algorithmic complexity is essential if efficient algorithms are to be designed and used.

Module aims

1 - Critically evaluate the appropriateness of common algorithms, algorithmic strategies and data structures for application in the cyber context.

2 - Critically evaluate the complexity and efficiency of an algorithm.

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.

The content of this module will be taught from a cyber security perspective.

Basic analysis
Algorithmic strategies
Fundamental data structures and algorithms
Basic automata, computability and complexity
Topics in data science and machine learning

Learning outcomes

By the end of the module, students should be able to:

  • 1 - Critically evaluate the appropriateness of common algorithms, algorithmic strategies and data structures for application in the cyber context.
  • 2 - Critically evaluate the complexity and efficiency of an algorithm.

Indicative reading list

Cormen, T., Leiserson, C., Rivest, R. and Stein, C., “Introduction to Algorithms”, MIT Press (2009)
Flach, Peter, “Machine Learning: The Art and Science of Algorithms that Make Sense of Data”, Cambridge University Press (2012)
Grimaldi, Ralph P., “Discrete and Combinatorial Mathematics: An Applied Introduction”, 5 Ed, Pearson (2013)
Sedgewick R., Wayne K., "Algorithms", Addison Wesley (2011)

View reading list on Talis Aspire

Subject specific skills

1 - Critically evaluate the appropriateness of common algorithms, algorithmic strategies and data structures for application in the cyber context.

2 - Critically evaluate the complexity and efficiency of an algorithm.

Transferable skills

Problem solving

Study time

Type Required
Supervised practical classes 18 sessions of 2 hours (15%)
Private study 81 hours (34%)
Assessment 123 hours (51%)
Total 240 hours

Private study description

Independent activity between workshops, following up on activities initiated in previous workshops or preparing for upcoming workshops.

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 C3
Weighting Study time Eligible for self-certification
Coursework 50% 78 hours Yes (extension)
Online Examination 50% 45 hours No

~Platforms - AEP


  • Online examination: No Answerbook required
Assessment group R1
Weighting Study time Eligible for self-certification
Coursework 100% Yes (extension)
Feedback on assessment

Verbal feedback during tutorial sessions
Summative feedback on assignments and exam

Past exam papers for WM3B2

Courses

This module is Core for:

  • Year 3 of UWMA-H651 Undergraduate Cyber Security