University of Birmingham School of Computer Science
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Programme Specification for the MSc in Robotics

NOTE: This is a formal specification for the degree programme. If you are not yet a student in the School, you will find more appropriate information on the Taught Postgraduate Admissions pages.

Final Award MSc
Interim Awards PGCert, PGDip
Programme Title Robotics
School/Department School of Computer Science
Banner Code 9889
Mode(s) of Study Full-time
Length of Programme 1 year
Total Credits 180
UCAS Code N/A
Awarding Institution The University of Birmingham
Teaching Institution The University of Birmingham
Designed for accreditation by -
QAA Benchmarking Groups Computing
Completed by Prof J E Rowe
Date 14 March 2012
Educational Aims of Programme

The outline aims of the programme are:

  1. To provide the specific engineering skills and knowledge of robotics necessary for a research or development career in robotics, either in industry or academia.
  2. To provide the opportunity to carry out projects in intelligent and autonomous robotics, and thereby to acquire the generic research skills necessary to engage in future research or study.
  3. To provide the student with knowledge of recent computational methods in a variety of areas of robotics, and the abilities to analyse them.
  4. To provide the student with the experimental and analytical skills to evaluate the properties of algorithms in robotics.
Reference Points used to inform Programme Outcomes
Computing Benchmarking Statement, the University and School Teaching and Learning Strategies.
Special features of the Programme
None.

 

Programme Outcomes and Learning, Teaching and Assessment Strategies

Knowledge & Understanding
Ref A. Students are expected to have knowledge and understanding of... Teaching, Learning & Assessment Strategies to enable outcome to be achieved and demonstrated
Learning & Teaching Methods Assessment Methods
1 The main techniques for control, perception, reasoning and learning in robotics. Lectures, labs, project work Examinations, written reports
2 Methods for the analysis of robot behaviour and the performance of algorithms under A1 in real robots and in simulation. Lectures, labs, project work Examinations, written reports
3 Mathematical techniques necessary for the analysis of algorithms in A1. Lectures, labs, project work Examinations
4 Software frameworks for implementation of techniques in A1. Lectures, labs, project work Demonstrated lab work, written reports
5 In depth knowledge of at least one area of robotics. Project work Written reports and presentations

Skills & Other Attributes
Ref B. Students are expected to have attained the following skills and other attributes: Teaching, Learning and Assessment Strategies to enable outcome to be achieved and demonstrated
Learning & Teaching Methods Assessment Methods
1 The ability to implement techniques under A1 in a software framework for robot control. Lab work Written reports and demonstrations of lab work
2 Critical understanding of the scientific literature. Project work Presentations, written reports
3 Experimental evaluate robot behaviour and the performance and properties of methods in A1. Lab work, project work, lectures Written reports and demonstrations of lab work
(transferable skills)
4 Interpersonal skills. Lab work, project work Presentations, written reports
5 Project management skills. Lab work, project work Written reports
6 Assimilation, evaluation, presentation and analysis of research results. Lab work, project work Written reports, presentation

Footnotes

  1. The Learning & Teaching and Assessment Methods above are not intended to be exclusive, but to indicate the main methods in use. Module Descriptions contain more detail.
  2. It is not intended to admit students to PGCert and PGDip programmes, although these qualifications will be available to students who have met the minimum requirements given in University Regulations.

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