The Project, (consisting of Project 1 and Project 2) is largely a self-learning process andstudents are expected to use the knowledge they have gained during their attendance atlectures, labs and tutorials. The project supervisor is expected to provide support andadvice for the project student during allocated time. The main role of the supervisor is to“guide” the project on a weekly basis and students are strongly advised to use projectmeetings in an effective manner by outlining problems, presenting experimental results andprepared questions. Students are strongly advised to follow advice from their supervisorsand maintain regular contact throughout the project.
Project management :
Project allocation, Project definition and identification, purpose, scope andobjectives.Project Specification and Planning: Project organisation, work breakdownstructure, Gantt/PERT, costing, implementation and review.
Project Preparation:
Maintenance of logbook, design methologies,familiarisation with measurement and test equipment, requirementsspecifications
Focused Research:
possible techniques, identification of optimal solution,associated circuit/code design and simulation, test plan, bill of materials,component ordering, construction of the designed hardware/softwareprototype, understanding of operation, testing and debug, collection andanalysis of results
Project Reports :
Interim Semester 1 report due last week of Semester 1Final Project report due late in Semester 2 or as agreed with supervisor
Project Presentations:
Short Interim Presentation at end of Semester 1 or beginning of Semester 2mainly consisting of a description of what has been completed so far and whatwill be completed during Semester 2.Final Presentation at end of Semester 2, or when agreed with supervisor,consisting of a detailed project description (20 mins), Q&A (15 mins) anddemonstration (15 mins)
Report and ethics
Report writing and presentation. Ethics and the environment
Experimental Design and Analysis of Variance Principles of experimental design:
Randomisation, replication. One-way Analysis of Variance. Model specification and assumptions. Interpretation of software output. Multifactorexperiments: cross-classified designs. Two-way Analysis of Variance: main effects and interactions. Advantages of factorialexperiments over traditional one-at-a-time experiments. Introduction to factorial and fractional factorial experiments.
| Module Content & Assessment | |
|---|---|
| Assessment Breakdown | % |
| Other Assessment(s) | 100 |