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2015/16 Undergraduate Programme Catalogue

BSc Applied Computer Science

Programme code:BS-ACSUCAS code:I402
Duration:3 Years Method of Attendance: Full Time
Programme manager:Dr N Efford Contact address:n.d.efford@leeds.ac.uk

N/A

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:

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):
- 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 2 (Jan to Jun)
COMP1212Computer Processors10 creditsSemester 1 (Sep to Jan)
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 or Discovery modules either from those listed below or from any of the Discovery Themes offered across the University:

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:

COMP2011Web Application Development10 creditsNot running in 201516
COMP2121Data Mining10 creditsNot running in 201516
COMP2211Operating Systems10 creditsNot running in 201516
COMP2221Networks10 creditsNot running in 201516
COMP2321Formal Languages and Finite Automata10 creditsNot running in 201516
COMP2611Artificial Intelligence10 creditsNot running in 201516
COMP2711Algorithms and Data Structures I10 creditsNot running in 201516
COMP2811User Interfaces10 creditsNot running in 201516
COMP2912Software Engineering Principles10 creditsNot running until 201819
COMP2913Software Engineering Project10 creditsNot running until 201819

Optional modules:

Candidates may study up to 20 credits from the following 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:

COMP2421Numerical Computation10 creditsNot running in 201516
COMP2721Algorithms and Data Structures II10 creditsNot running in 201516
COMP2932Compiler Design and Construction10 creditsNot running until 201819

Discovery modules:

Students may choose to study up to a maximum of 20 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:

COMP3911Secure Computing10 creditsNot running in 201516
COMP3931Individual Project40 creditsNot running in 201516

Optional modules:

Candidates will be required to study 70 credits from the following optional modules:

COMP3011Web Services and Web Data10 creditsNot running in 201516
COMP3211Distributed Systems10 creditsNot running in 201516
COMP3221Parallel Computation10 creditsNot running in 201516
COMP3223Cryptography10 creditsNot running in 201516
COMP3631Robotics20 creditsNot running in 201516
COMP3736Information Visualization10 creditsSemester 1 (Sep to Jan)
COMP3771User Adaptive Intelligent Systems10 creditsSemester 1 (Sep to Jan)
COMP3811Computer Graphics10 creditsSemester 1 (Sep to Jan)
COMP3910Combinatorial Optimisation10 creditsSemester 1 (Sep to Jan)
COMP3940Graph Algorithms and Complexity Theory10 creditsSemester 1 (Sep to Jan)
LUBS3990Innovation; Thinking and Practice10 creditsNot running until 201718

Last updated: 17/09/2015

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