Page 54 - 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%

WOA7001 Advanced Algorithms

Course Learning Outcomes*
At the end of the course, students are able to:
1. Explain major algorithms and data structures.
2. Implement the algorithms and data structures to solve real world problems.
3. Develop ICT solutions with algorithms and data structures.

Synopsis of Course Content
This course introduces students to the analysis and design of computer algorithms. Students will learn
advanced design techniques, important classical algorithms and data structures, and their
implementation in modern programming environment.

Evaluation and Weightage
Continuous Assessment : 60%

Final Examination : 40%

WOA7015 Advanced Machine Learning

Course Learning Outcomes
At the end of the course, students are able to:
1. Practice concepts and techniques for machine learning related to digital and numerical methods.
2. Report the solution to machine learning problems by devising and listing the steps in machine
learning applied to solve different types of problems
3. Demonstrate skills and knowledge on machine learning by managing a machine learning project