ACS6322 Computational Intelligence Individual Project

Module Description

In order to further develop the broad understanding of computational intelligence you will gain from the taught modules, this module will allow you to specialise in one or more aspects of the subject through an extended research project. You will undertake a detailed investigation into a topic in computational intelligence which will lead to more specialist knowledge and understanding in this specific area. You will also develop your project, research and communication skills. You will be expected to work largely independently but under the supervision of an academic member of staff.

Credits: 60 (Academic Year)

Module Leader

Dr Roderich GrossDr Roderich Gross
Room F09, Pam Liversidge Building

If you have any questions about the module please talk to me, or contact your project supervisor.

Learning Outcomes

By the end of the module students will be able to:

  1. Adopt a methodical approach to solving a major advanced task relating to appropriate theory taught in the course;
  2. Evaluate and critically assess work reported in literature related to the project, formulate the problem with clarity and analyse its potential commercial, economic and social impact;
  3. Show initiative in the search for a variety of advanced solutions to a given task, and compare and evaluate these solutions;
  4. Perform comprehensive analysis and/or experimentation and critically assess the results;
  5. Practice good organisation, planning and time management in solving a given task;
  6. Improve skills in computation, application of mathematics and/or design and integration of physical systems;
  7. Write documentation of a major advanced item of work with good practice in report writing, adhering to scientific conventions;
  8. Give a clear project presentation of the major achievements of the work using audio-visual aids


The syllabus will depend on the individual project. It will typically have a level of technical difficulty involving theoretical concepts, and have some level of practical activity. This practical activity may be software based or in some cases, based on equipment.

Learning and Teaching Methods

The student undertakes a substantial piece of work under the supervision of a member of the academic or academic related staff. The work is reported in a dissertation and the student is required to make an oral presentation of the work.

Learning and Teaching Materials

All teaching materials will be available via MOLE.


  • Final written report – 90%
  • Oral presentation – 10%


Students will be given both oral feedback and written feedback throughout the module.

Student Evaluation

Students are encouraged to provide feedback during the module direct to the lecturer. Students will also have the opportunity to provide formal feedback via the Faculty of Engineering Student Evaluation Survey at the end of the module.

Recommended Reading

As recommended by supervisor and supplemented by reading material identified by the student.