The Research Methods course is a practically oriented course designed to impart on students to develop techniques of quantitative research in social sciences context.

This course introduces students to quantitative research methods for conducting meaningful inquiry. In this course, students will gain an overview of research intent and design, methodology and techniques, format and presentation, and data management and analysis informed by commonly used statistical methods. The course will develop each student’s ability to use research methods knowledge to become more effective in dealing with quantitative data.  

This course provides an in-depth exploration of the principles and methodologies of system analysis and design. It covers the entire system development life cycle (SDLC), from initial feasibility studies to implementation and maintenance. Students will learn to identify user requirements, analyze system needs, and design effective solutions using various modeling techniques.

Key topics include:

-System Development Life Cycle (SDLC): Phases of system development, methodologies (waterfall, agile, etc.), and project management.
-Requirements Gathering: Techniques for eliciting user needs, including interviews, surveys, and use cases.
-Modeling Techniques: Introduction to data flow diagrams (DFDs), entity-relationship diagrams (ERDs), and Unified Modeling Language (UML).
-Design Principles: Best practices for system design, including interface design, database design, and architectural design.
-Implementation Strategies: Approaches to coding, testing, and deploying systems, as well as change management.
-Case Studies: Real-world examples to illustrate the application of concepts learned.

By the end of this course, students will have the skills to analyze complex systems, develop effective design specifications, and implement solutions that meet user requirements.

Prerequisites: Introduction to Information Systems or equivalent experience.

This course provides an in-depth exploration of the principles and methodologies of system analysis and design. It covers the entire system development life cycle (SDLC), from initial feasibility studies to implementation and maintenance. Students will learn to identify user requirements, analyze system needs, and design effective solutions using various modeling techniques.

Key topics include:

-System Development Life Cycle (SDLC): Phases of system development, methodologies (waterfall, agile, etc.), and project management.
-Requirements Gathering: Techniques for eliciting user needs, including interviews, surveys, and use cases.
-Modeling Techniques: Introduction to data flow diagrams (DFDs), entity-relationship diagrams (ERDs), and Unified Modeling Language (UML).
-Design Principles: Best practices for system design, including interface design, database design, and architectural design.
-Implementation Strategies: Approaches to coding, testing, and deploying systems, as well as change management.
-Case Studies: Real-world examples to illustrate the application of concepts learned.

By the end of this course, students will have the skills to analyze complex systems, develop effective design specifications, and implement solutions that meet user requirements.

Prerequisites: Introduction to Information Systems or equivalent experience.