Durham University
Programme and Module Handbook

Undergraduate Programme and Module Handbook 2017-2018 (archived)


Department: Computer Science


Type Open Level 4 Credits 20 Availability Available in 2017/18 Module Cap Location Durham


  • Software, Systems and Applications III


  • None

Excluded Combination of Modules

  • None


  • To encourage students to think critically about the development of software to support systems utilising existing and emerging technologies.
  • To enable students to study and research a number of topic themes across relevant application areas, focusing on case studies, and undertake research within these topic themes.


  • Four topics will be chosen from
  • Advanced Image Processing
  • Advanced Computer Graphics
  • Semantic Web
  • Visualisation

Learning Outcomes

Subject-specific Knowledge:
  • On completion of this module, students will be able to demonstrate a systematic understanding of the four topics presented and a critical awareness of how they are applicable to both current and emerging needs within the associated industrial and research environment
Subject-specific Skills:
  • On completion of this module, students will be able to demonstrate:
  • an ability to critically analyse he task suitability of current and future approaches within each of the topics presented
  • an ability to independently evaluate research issues within each topic grouping including state-of-the-art and common industrial applications thereof.
  • an ability to identify challenges and barriers to emerging issues within the topic areas and propose potential solutions.
  • an ability to propose, plan and carry out research focused on such approaches to support current and future software applications
  • ^M
Key Skills:
  • On completion of this module, students will be able to demonstrate:
  • an ability to exercise judgement on current research topics.
  • an ability to propose and apply the appropriate techniques to a range of industrial and research applications.
  • an ability to effectively evaluate and communicate technical information at the forefront of the associated field.
  • an ability to confidently use relevant research material in the development of existing and new application areas.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Lectures enable students to learn core material in the different subject areas.
  • Problem classes enable students to apply the material learned in lectures and enhance their understanding, and support individual directed research and presentations.
  • Summative assignments (a mini-project plus a report) test the knowledge acquired and the students' ability to use this knowledge to solve complex problems.

Teaching Methods and Learning Hours

Activity Number Frequency Duration Total/Hours
lectures 44 2 per week 1 hour 44
problem classes 2 4 per term 2 hours 8
preparation and reading 148
Total 200

Summative Assessment

Component: Examination Component Weighting: 66%
Element Length / duration Element Weighting Resit Opportunity
Examination 2 hours 100% no
Component: Coursework Component Weighting: 34%
Element Length / duration Element Weighting Resit Opportunity
Coursework hours 100% no

Formative Assessment:

Problem classes will intermix group discussions with individual student presentations.

Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University