Module 06-15506 (2019)
Individual Study 1
|Manfred Kerber||Semester 1||10 credits|
|Rajesh Chitnis||Semester 2||10 credits|
This module exists to allow particularly strong students to study, at their own initiative, material that is outside what can be found in other modules that are available in the School of Computer Science. Learning is by self-managed study under the direction of a supervisor (a member of the academic staff of the School). The topic for a particular student is by negotiation between the student and supervisor early in the semester.
The aims of this module are to:
- offer a module where students can study a specific topic from any area of Computer Science to a point where current research issues can be understood
- provide an opportunity to develop topics which were only touched upon in other modules
- lead to an appreciation of the methods of original research, and inculcate an interest in pursuing postgraduate education
- encourage a critical evaluation of original publications in the light of practical experience and subsequent developments
- improve students' communication and presentation skills
- improve students' abilities to set their own goals and pursue them according to their own timetable
On successful completion of this module, the student should be able to:
- demonstrate detailed understanding of a topic in Computer Science
- solve problems or engage in critical analysis of problems or issues related to a topic in Computer Science
- give a presentation on a topic in Computer Science appropriate to an academic audience
- write a report on a topic in Computer Science in the appropriate style for an academic audience
- Note 1 This module can only be chosen after consulting the Module Coordinator. Please see the syllabus page (linked from the module code) for further details. May be taken in either Sem1 or Sem2 but not both.
This module is available to students in the School of Computing Science only by prior arrangement with an academic supervisor and the Module Coordinator. Students would normally be expected to have an average mark of at least 65% at the previous level.
Independent study, tutorials
Contact Hours: Approximately 6 hrs
Sessional: continuous assessment (100%).
Supplementary (where allowed): Repeat only.
The continuous assessment consists of 40% presentation, 60% report.
Programmes containing this module
- BSc Artificial Intelligence & Computer Science 
- BSc Artificial Intelligence & Computer Science with an Industrial Year 
- BSc Artificial Intelligence & Computer Science with Study Abroad [452B]
- BSc Computer Science 
- BSc Computer Science with an Industrial Year 
- BSc Computer Science with Business Management 
- BSc Computer Science with Business Management with an Industrial Year 
- BSc Computer Science with Study Abroad 
- BSc Mathematics and Computer Science 
- BSc Mathematics and Computer Science with an Industrial Year 
- MEng Computer Science/Software Engineering 
- MEng Computer Science/Software Engineering with an Industrial Year 
- MSci Computer Science 
- MSci Computer Science with an Industrial Year 
- MSci Computer Science with Study Abroad 
- MSci Mathematics and Computer Science 
- MSci Mathematics and Computer Science with an Industrial Year