Page 85 - PG-Handbook23-24-finale

WOX7001 Research Methodology

Course Learning Outcomes
At the end of the course, students are able to:
1. Describe appropriate methodologies used in computer science and information technology
research.
2. Devise a plan to be carried out within a feasible duration for answering research problems and
questions identified.
3. Demonstrate attitude and character in line with professional and ethical codes in computer
science and information technology research.

Synopsis of Course Content
This course gives on overview of the dimensions of research in computer science and information
technology. Major considerations and tasks in conducting research in the areas such as review of
literature, identify problem statement, formulate research questions and objectives, select an
appropriate approach or method to the research, plan and manage the research, tools for research,
data analysis, and writing and presentation strategies, will be discussed too.

Evaluation and Weightage
Continuous Assessment : 100%
Final Examination : 0%

WQD7001 Principles of Data Science

Learning Outcomes
At the end of this course, students are able to:
1. Summarize the foundations of the data science, its life cycle processes, methods and techniques.
2. Determine the principles of tidy data and data sharing.
3. Apply the most important data science methods, using open-source tools.

Synopsis of Course Content
The course is designed to help the student making sense of the field of data science. It covers the
what, when, who, where, why and how (5W 1H) of data science in the era of big data. Also
encompass the fundamental principles of data science that underlie the algorithms, processes,
methods, and data-analytic thinking. The role of data scientist, the knowledge and skills required is
also presented. Diverse technologies, programming languages as well as tools in data science are
discussed.

Evaluation and Weightage
Continuous Assessment : 60%
Final Examination : 40%