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MRes Advanced Computer Science / Course details

Year of entry: 2018

Course description

The aim of this course is to provide students with a state-of-the-art collection of knowledge, understanding, and skills in the area of Advanced Computer Science. This collection aims to be of particular depth so as to provide the student with the relevant knowledge, understanding, and skills to prepare them for a career in Computer Science research. It is designed for students with a good first degree in Computer Science or related areas who wish to deepen their understanding, knowledge, and skills, and aim at a research career in either Industry or Academia.

A student following this course chooses two themes, each consisting of a conceptually coherent set of two course units of 15 credits each, and they take three course units out of these. In addition, they follow three Research Seminars COMP80122, COMP80131, COMP80142 of 5 credits each. This will provide students with the necessary knowledge and skills in Research methodology, ethics and professional issues, as well as communication and presentation skills. As part of COMP80122, students actively participate in the school's annual research symposium, held in reading week between Period 1 and 2.

Teaching and learning

We use a variety of teaching forms, from face-to-face lectures via supervised and unsupervised labs, to self-study elements and supervised projects. Where appropriate, we use blended learning and enquiry based learning.

All our taught course units use coursework as a part of fomative assessment, to deepen and assess both knowledge and understanding and to teach and assess relevant skills.

Coursework and assessment

Course units are assessed through coursework (50%) and end-of-semester examination (50%). However, flexibility is allowed in the delivery and assessment, allowing methods appropriate for each subject. If a course unit's specific features require it for assessments through 66% coursework and 34% exam, or other distributions.

Further information is available at http://intranet.cs.man.ac.uk/intranet_subweb/postgrad

Course unit details

A student following this programme chooses two themes, each consisting of a conceptually coherent set of two course units of 15 credits each, and they take three course units out of these. In addition, they follow three Research Seminars COMP80122, COMP80131, COMP80142 of 5 credits each. This will provide students with the necessary knowledge and skills in Research methodology, ethics and professional issues, as well as communication and presentation skills. As part of COMP80122, students actively participate in the school's annual research symposium, held in reading week between Period 1 and 2.

This makes up the 60 credits taught part of the course.

The MRes research project is worth 120 credits and consists of the following parts: a taster project (10 credits) plus the research project (110 credits), which can but do not have to be related to the same subject and supervised by the same supervisor. The taster project is assessed via a short report. The research project is assessed in two parts, through the Project Progress Report (30 credits) and the Dissertation (80 credits).

A student who chooses two themes that belong to a given pathway, and whose project is in an area suitable for this pathway (which is determined by the examiners) can choose to graduate with an MRes in Advanced Computer Science with a specialisation in an available themes in their course options.

Course unit list

The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.

TitleCodeCredit ratingMandatory/optional
Scientific Methods II - Fundamental Aspects of Research Methodology COMP80122 5 Mandatory
Scientific Methods I - Scientific Evaluation, Experimental Design and Statistical Methods COMP80131 5 Mandatory
Scientific Methods III - Academic Writing and Impact Studies COMP80142 5 Mandatory
Modelling Data on the Web COMP60411 15 Optional
Parallel Programs and their Performance COMP60611 15 Optional
Designing for Parallelism and Future Multi-core Computing COMP60621 15 Optional
Data Engineering COMP60711 15 Optional
IT Governance COMP60721 15 Optional
Foundations of Machine Learning COMP61011 15 Optional
Modelling and Visualisation of High-Dimensional Data COMP61021 15 Optional
Cryptography COMP61411 15 Optional
Cyber Security COMP61421 15 Optional
Software Engineering Concepts in Practice COMP61511 15 Optional
Querying Data on the Web COMP62421 15 Optional
Agile and Test-Driven Development COMP62521 15 Optional
Displaying 10 of 15 course units

Facilities

  • Newly refurbished computing labs furnished with modern desktop computers
  • Access to world leading academic staff
  • Collaborative working labs complete with specialist computing and audio visual equipment to support group working.
  • Over 300 Computers in the School dedicated exclusively for the use of our students.
  • An Advanced Interfaces Laboratory to explore real time collaborative working;
  • A Nanotechnology Centre for the fabrication of new generation electronic devices;
  • An e-Science Centre and Access Grid facility for world wide collaboration over the internet.
  • Access to a range of Integrated Development Environments (IDEs)
  • Specialist electronic system design and computer engineering tools.

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: dass@manchester.ac.uk