CY

Module ICP-3099:
Individual Project-Computing

Module Facts

Run by School of Computer Science and Electronic Engineering

30 Credits or 15 ECTS Credits

Semester 1 & 2

Organiser: Prof Ludmila Kuncheva

Overall aims and purpose

To pursue an in-depth study of the project topic; to carry out an independent investigation of some aspect of the topic; to learn and understand legal, social, ethical and professional issues; to give an account of this study and investigation in the form of a dissertation; to prepare and present work to a wider audience.

Course content

Project topics are usually in the following areas: databases, data analysis, artificial intelligence, computer graphics, gaming, virtual environments, computer vision, visualisation, pattern recognition, e-technology, communication systems, real time systems, distributed networks, robotics.

Learning outcomes mapped to assessment criteria

  threshold

40% Reasonable work done. Passable dissertation (right volume, structure, and formatting)

 		good

60% Solid amount of work. Good account given in the dissertation.

excellent

70% Substantial amount of work. Excellent structure of the dissertation. Depth of understanding of the subject clearly shown. The student has demonstrated excellent technical abilities.

Exercise personal initiative to attain a clear objective within a specified time.

 The student has shown both good judgment and skill in the methods chosen to complete the objectives. The student has made a significant contribution to the work and the project is correct in almost every respect. The student has worked conscientiously and has a reasonable number of results/ achievements to report. The project has some minor flaws but most of the problems have been identified. The student has driven the project hard, fully understands the theoretical background. Possibly the foundations for a research project and publishable in a workshop or conference.

Present clear and detailed reports and a dissertation.

 Presentational aspects are very good. Dissertation and talk all well presented. The presentational aspects of the talk and dissertation were generally good, but there are some deficiencies. The presentational aspects of the talk and dissertation are exceptionally clear and presented in a professional manner.

Investigate new areas of subject knowledge, organize data and solve new problems.

 Uses standard resources and basic techniques to obtained required information. Can research and apply new methodologies to analyse data. Understanding and knowledge are sufficient to undertake most tasks. An enquiring approach to problem solving and an ability to select appropriate methods and applications demonstrated. Sound understanding and significant knowledge An enquiring and innovative approach to problem solving and an awareness of theory and application limitations. An ability to research and apply new methods.

Summarise and communicate the work to supervisor and peers.

Excellent and inspiring summary and presentation Reasonable summary and presentation skills. Good, clear summary and presentation

Assessment Methods

Type Name Description Weight
Oral Presentation 10
POSTER AND DEMONSTRATION 10
DISSERTATION 80

Teaching and Learning Strategy

Hours
Lecture

Introduction to the module.

 10
Tutorial

Compulsory 1/2 hour weekly meetings; could be one-to-one, or group meetings, as arranged by the supervisor

 12
Private study

Work towards achieving the project goals, writing the dissertation, preparing the poster and the oral presentation.

 278

Transferable skills

  • Literacy - Proficiency in reading and writing through a variety of media
  • Numeracy - Proficiency in using numbers at appropriate levels of accuracy
  • Computer Literacy - Proficiency in using a varied range of computer software
  • Self-Management - Able to work unsupervised in an efficient, punctual and structured manner. To examine the outcomes of tasks and events, and judge levels of quality and importance
  • Exploring - Able to investigate, research and consider alternatives
  • Information retrieval - Able to access different and multiple sources of information
  • Critical analysis & Problem Solving - Able to deconstruct and analyse problems or complex situations. To find solutions to problems through analyses and exploration of all possibilities using appropriate methods, rescources and creativity.
  • Safety-Consciousness - Having an awareness of your immediate environment, and confidence in adhering to health and safety regulations
  • Presentation - Able to clearly present information and explanations to an audience. Through the written or oral mode of communication accurately and concisely.
  • Argument - Able to put forward, debate and justify an opinion or a course of action, with an individual or in a wider group setting
  • Self-awareness & Reflectivity - Having an awareness of your own strengths, weaknesses, aims and objectives. Able to regularly review, evaluate and reflect upon the performance of yourself and others

Subject specific skills

  • Knowledge and understanding of facts, concepts, principles & theories
  • Use of such knowledge in modelling and design
  • Problem solving strategies
  • Analyse if/how a system meets current and future requirements
  • Deploy theory in design, implementation and evaluation of systems
  • Recognise legal, social, ethical & professional issues
  • Knowledge of management techniques to achieve objectives
  • Knowledge of information security issues
  • Specify, design or construct computer-based systems
  • Recognise risk/safety for safe operation of computing equipment
  • Development of general transferable skills
  • Methods, techniques and tools for information modelling, management and security
  • Knowledge of systems architecture
  • Specify, deploy, verify and maintain information systems
  • Defining problems, managing design process and evaluating outcomes
  • System Design
  • Knowledge and/or understanding of appropriate scientific and engineering principles
  • Knowledge and understanding of mathematical principles
  • Knowledge and understanding of computational modelling

Pre- and Co-requisite Modules

Pre-requisites:

Courses including this module