Module and Programme Catalogue

Search site

Find information on

2019/20 Undergraduate Programme Catalogue

BSc Computer Science with Artificial Intelligence

Programme code:BS-CS/AIUCAS code:G700
Duration:3 Years Method of Attendance: Full Time
Programme manager:Brandon Bennett Contact address:b.bennett@leeds.ac.uk

Total credits: 360

Entry requirements:

A-level: AAA including Mathematics or Computing.
IT or Engineering Diploma: Grade A (plus A or above in A-level Mathematics or Computing).
BTEC Extended Diploma: Grade D*DD with 6 units of level 3 Mathematics.
IB: 35 points overall, with 18 points at higher level to include 5 points in higher level Mathematics.

School/Unit responsible for the parenting of students and programme:

School of Computing

Examination board through which the programme will be considered:

School of Computing

Relevant QAA Subject Benchmark Groups:

Programme specification:

Programme Aims

To prepare students for a career in the computing industry or allied research fields, who have the following characteristics:
- A mastery of the practical skills and theoretical foundations of Computer Science, as described by the core of the Body of Knowledge (below);
- Recognition of the context in which a computer system may function, including its interactions with organisations, individuals, and the physical world;
- Understanding of how to apply the knowledge they have gained to solve real problems;
- Awareness of the rapid technological change in computing, and the necessity of life-long learning;
- Recognition of the social, legal, ethical and cultural issues inherent in the discipline of computing;
- Excellent communication and organizational skills;
- Awareness of the broad applicability of computing, and the roles and responsibilities of a computing professional.

Knowledge and Understanding

On completion of this programme, students should be able to demonstrate knowledge and understanding of the following knowledge areas of the Computer Science Curriculum (IEEE/ACM CS2103):

- Algorithms and Complexity
- Architecture and Organization
- Computational Science
- Discrete Structures
- Graphics and Visualization
- Human-Computer Interaction
- Information Assurance and Security
- Information Management
- Intelligent Systems
- Networking and Communications
- Operating Systems
- Platform-based Development
- Parallel and Distributed Computing
- Programming Languages
- Software Development Fundamentals
- Software Engineering
- Systems Fundamentals
- Social Issues and Professional Practice


Year1 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Compulsory modules:

Candidates will be required to study the following compulsory modules:

COMP1121Databases10 creditsSemester 2 (Jan to Jun)
COMP1211Computer Architecture10 creditsSemester 1 (Sep to Jan)
COMP1212Computer Processors10 creditsSemester 2 (Jan to Jun)
COMP1421Fundamental Mathematical Concepts10 creditsSemester 1 (Sep to Jan)
COMP1511Introduction to Discrete Mathematics10 creditsSemester 2 (Jan to Jun)
COMP1711Procedural Programming10 creditsSemester 1 (Sep to Jan)
COMP1721Object Oriented Programming10 creditsSemester 2 (Jan to Jun)
COMP1911Professional Computing20 creditsSemester 1 (Sep to Jan)
COMP1921Programming Project10 creditsSemester 2 (Jan to Jun)

Optional modules:

Candidates must also study 20 credits of Optional modules or 20 credits of Discovery modules or 10 of each.

Candidates may study up to a maximum of 20 credits of the following optional modules:

COMP1012Introduction to Programming10 creditsNot running until 202223
COMP1021Introduction to Web Technologies10 creditsSemester 2 (Jan to Jun)

Discovery modules:

Students may choose to study up to a maximum of 20 credits of Discovery Modules.


Year2 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Compulsory modules:

Candidates will be required to study the following compulsory modules:

COMP2121Data Mining10 creditsSemester 2 (Jan to Jun)
COMP2211Operating Systems10 creditsSemester 1 (Sep to Jan)
COMP2221Networks10 creditsSemester 2 (Jan to Jun)
COMP2321Formal Languages and Finite Automata10 creditsSemester 2 (Jan to Jun)
COMP2421Numerical Computation10 creditsSemester 1 (Sep to Jan)
COMP2611Artificial Intelligence10 creditsSemester 2 (Jan to Jun)
COMP2711Algorithms and Data Structures I10 creditsSemester 1 (Sep to Jan)
COMP2721Algorithms and Data Structures II10 creditsSemester 2 (Jan to Jun)
COMP2811User Interfaces10 creditsSemester 1 (Sep to Jan)
COMP2912Software Engineering Principles10 creditsSemester 1 (Sep to Jan)
COMP2913Software Engineering Project10 creditsSemester 2 (Jan to Jun)

Optional modules:

Candidates may study up to 10 credits from the following optional modules or 10 credits of Discovery modules from across the University:

Candidates may study up to a maximum of 10 credits of the following optional modules:

COMP2011Web Application Development10 creditsSemester 1 (Sep to Jan)
COMP2932Compiler Design and Construction10 creditsSemester 2 (Jan to Jun)

Discovery modules:

Students may choose to study up to a maximum of 10 credits of Discovery Modules.


Year3 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Compulsory modules:

Candidates will be required to study the following compulsory modules:

COMP3611Machine Learning10 creditsSemester 1 (Sep to Jan)
COMP3631Intelligent Systems and Robotics20 creditsSemester 1 (Sep to Jan)
COMP3911Secure Computing10 creditsSemester 1 (Sep to Jan)
COMP3931Individual Project40 creditsSemesters 1 & 2 (Sep to Jun)

Optional modules:

Candidates are required to study 40 credits from the following optional modules:

COMP3011Web Services and Web Data10 creditsSemester 2 (Jan to Jun)
COMP3211Distributed Systems10 creditsSemester 1 (Sep to Jan)
COMP3221Parallel Computation10 creditsSemester 2 (Jan to Jun)
COMP3223Cryptography10 creditsSemester 2 (Jan to Jun)
COMP3736Information Visualization10 creditsSemester 1 (Sep to Jan)
COMP3771User Adaptive Intelligent Systems10 creditsSemester 2 (Jan to Jun)
COMP3811Computer Graphics10 creditsSemester 1 (Sep to Jan)
COMP3910Combinatorial Optimisation10 creditsSemester 2 (Jan to Jun)
COMP3940Graph Algorithms and Complexity Theory10 creditsSemester 1 (Sep to Jan)
LUBS3990Innovation; Thinking and Practice10 creditsSemester 1 (Sep to Jan)

Last updated: 15/07/2019

Disclaimer

Browse Other Catalogues

Errors, omissions, failed links etc should be notified to the Catalogue Team.PROD

© Copyright Leeds 2019