Skip to content
All courses
EEG 550
Term 4
3 credits

Graduate Research Project

This graduate-level course provides essential training for students undertaking their master's research project in Electronics Engineering Technology. It systematically covers the fundamental principles of academic research, beginning with an exploration of various research methodologies pertinent to the field. Students will develop critical skills in conducting comprehensive literature reviews, identifying research gaps, and formulating clear research questions and hypotheses. The course emphasizes the development of robust research proposals, including detailed experimental designs, selection of appropriate measurement techniques, and consideration of resource allocation. A significant portion of the course is dedicated to quantitative and qualitative data analysis, incorporating statistical methods relevant to engineering research for interpreting results and drawing valid conclusions. Ethical considerations in research, including data integrity, intellectual property, and responsible conduct, are thoroughly discussed. The curriculum culminates in practical guidance on structuring and writing a master's thesis, effectively presenting research findings, and preparing for the final thesis defense. This course is designed to equip students with the necessary tools to successfully complete their research project and contribute meaningfully to their field.

Course outline

Lectures, virtual labs, and graded assignments — completed in your browser.

01Introduction to Graduate Research and Project Scopelecture
02Research Methodologies in Engineering Technologylecture
03Effective Literature Review and Information Managementlecture
04Formulating Research Questions and Hypotheseslecture
05Developing a Comprehensive Research Proposallecture
06Experimental Design Principles and Techniqueslecture
07Data Collection Strategies and Measurement Systemslecture
08Introduction to Statistical Analysis for Engineerslecture
09Advanced Statistical Methods and Software Toolslecture
10Research Ethics and Academic Integritylecture
11Thesis Structure and Academic Writinglecture
12Presenting Research Findings and Discussionslecture
13Preparing for Thesis Defense and Viva Vocelecture
14Project Management and Research Disseminationlecture

Syllabus

Week 1: Introduction to Graduate Research and Project Scope
Week 2: Research Methodologies in Engineering Technology
Week 3: Effective Literature Review and Information Management
Week 4: Formulating Research Questions and Hypotheses
Week 5: Developing a Comprehensive Research Proposal
Week 6: Experimental Design Principles and Techniques
Week 7: Data Collection Strategies and Measurement Systems
Week 8: Introduction to Statistical Analysis for Engineers
Week 9: Advanced Statistical Methods and Software Tools
Week 10: Research Ethics and Academic Integrity
Week 11: Thesis Structure and Academic Writing
Week 12: Presenting Research Findings and Discussions
Week 13: Preparing for Thesis Defense and Viva Voce
Week 14: Project Management and Research Dissemination