This course is addressed to students, mainly at MSc and PhD level, and those interested in conducting and publishing research. The course covers key aspects of the practice of research and was tailored to be taken by MSc students that study AI, Informatics, Data Analytics and Information Systems.
The course is designed to cover the following topics:
a) The nature of research in AI, data science and information systems.
b) Theoretical foundations of different research methodologies and designs.
c) Qualitative and quantitative research strategies and methods.
d) Sampling techniques.
e) Research findings interpretation.
f) Literature review.
g) Referencing and citation.
h) Research proposal, dissertation and journal paper writing.
On completion of this module the student should be able to:
a) Be able to design and conduct their own research.
b) Be able to identify and utilise advantages and disadvantages of different
methods of data collection and different research designs.
c) Be able to effectively conduct a systematic literature review.
d) Be able to understand and interpret statistical and qualitative data analyses.
e) Be able to present, analyse and interpret research findings.
f) Identify the practical/ethical issues involved in conducting AI/DS/ IS research.
g) Practice publishing research papers in local, regional and international journals.
- Teacher: KAI Admin