Module and Programme Catalogue

Search site

Find information on

2014/15 Taught Postgraduate Programme Catalogue

MSc Advanced Computer Science (Intelligent Systems)

Programme code:MSC-ACS/I-FTUCAS code:
Duration:12 Months Method of Attendance: Full Time
Programme manager:Dr Hamish Carr Contact address:h.carr@leeds.ac.uk

Total credits: 180

Entry requirements:

A minimum UK Upper Second Class Honours (2.1) degree or equivalent in computing or a scientific subject with significant computing component;
- A pass at GCSE level English Language (grade C or above);
- International students must have an English language qualification at a suitable level: IELTS 6.5 or equivalent.

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:

Computing

Programme specification:

On completion of the programme students should be a able to demonstrate:

- a systematic understanding of the theory and practice of designing and implementing computer systems
- proficiency in the technical and programming skills required to design and implement computer systems;
- a thorough knowledge and skills base in a number of advanced topics within the domain of computer science;
- an in-depth knowledge of the essential principles and practices used in the effective design, implementation and usability of Intelligent Systems;
- the ability to apply these principles and practices to tackle a significant problem within the main project;
- an in-depth understanding of an area of specialisation, gained during the main project;
- be confident in applying the research methodology adopted for the main project on new problems;
- be prepared for further study either in the context of professional development or through further engagement in higher education.


The programme will:

- situate the study of Intelligent Systems within the general context of computational modelling and complex systems.
- give a broad perspective on Intelligent systems, covering evolutionary models, statistical and symbolic machine learning algorithms, qualitative reasoning, image processing, language understanding, and bio-computation.
-be rooted in established research strengths of the School and will offer the opportunity for students to work as integral members of our research groups during their main project.
- prepare graduates for graduate careers in the IT industry and other contexts or for further study either in the context of continuing professional development or through further engagement in higher education.


Year1 - View timetable

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

Compulsory modules:

Candidates will be required to study the following compulsory modules:

COMP5200MMSc Project60 creditsSemester 2 (Jan to Jun)
COMP5700MSystems Programming15 creditsSemester 1 (Sep to Jan)
COMP5710MAlgorithms15 creditsSemester 1 (Sep to Jan)
COMP5830MKnowledge Representation and Machine Learning
Pre-requisite for: COMP5840M, COMP5860M, COMP5400M, COMP5870
15 creditsSemester 1 (Sep to Jan)

Optional modules:

Candidates will be required to study at least 15 credits from the following optional modules:

COMP5400MBio-Inspired Computing15 creditsSemester 2 (Jan to Jun)
COMP5840MData Mining and Text Analytics15 creditsSemester 2 (Jan to Jun)
COMP5870MImage Analysis15 creditsSemester 2 (Jan to Jun)

Candidates will be required to study up to 60 credits from the following optional modules:

COMP5810MAdvanced Distributed Systems
Pre-requisite for: COMP5850M, COMP5860M
15 creditsSemester 1 (Sep to Jan)
COMP5820MMobile Application Development15 creditsSemester 1 (Sep to Jan)
COMP5850MCloud Computing15 creditsSemester 2 (Jan to Jun)
COMP5860MSemantic Technologies and Applications15 creditsSemester 2 (Jan to Jun)
COMP5880MScientific Visualization15 creditsSemester 2 (Jan to Jun)
COMP5920MScheduling15 creditsSemester 2 (Jan to Jun)
COMP5930MScientific Computation
Pre-requisite for: COMP5880M
15 creditsSemester 1 (Sep to Jan)
COMP5940MGraph Theory: Structure and Algorithms15 creditsSemester 2 (Jan to Jun)

Last updated: 24/03/2014

Disclaimer

Browse Other Catalogues

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

© Copyright Leeds 2019