RESEARCH METHODS

Course Description

This course introduces students to research methods and contemporary issues related to research in a university setting. Students will be introduced to research proposal development, scientific literature reviews, measurement analysis, statistical data analysis, and research planning techniques, good research practice, and oral and written research communication. Ethics and intellectual property topics related to research will also be covered. During this course, students will evaluate the broad impact of their engineering research and relevant constraints and data analysis skills. Also students will research, plan, execute and evaluate a self-defined research project. Research will focus on the Engineering Themes of Energy, Water, Health or Security.

RESEARCH METHODS

Evaluation Tools (Active Term)

Course outcomes

1. 01 Assess suitable types of research
2. 02 Plan and write an effective research proposal
3. 03 Design and conduct a proper scientific research
4. 04 Perform ethical research
5. 05 Perform an effective literature survey
6. 06 Assess data collection methods
7. 07 Perform experiments and evaluate data
8. 08 Report and present research results

Course Syllabus

Reference Books & Course Materials

1. 01 Dr. Pandey, Prabhat and Dr. Meenu Mishra Pandey, “ RESEARCH METHODOLOGY: TOOLS AND TECHNIQUES”, ISBN 978-606-93502-7-0, © Bridge Center, 2015
2. 02 John W. CRESWELL, "Research Design", 4th Ed., Sage Publications Ltd.,2014.
3. 03 Patrick DUNLEAVY, "Authoring a PhD:How to Plan, Draft, Write and Finish a Doctoral thesis or Dissertation", Palgrave Study Guides, 2003.

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

1. Demonstrate advanced knowledge of core concepts and theoretical frameworks in Management Information Systems, and apply them to develop innovative models that reflect current advancements in the field.
2. Analyze complex organizational problems and design integrated information systems solutions by applying advanced MIS knowledge and synthesizing multiple theoretical perspectives.
3. Develop and manage database systems and data-driven applications that ensure effective storage, retrieval, and use of organizational data in real-world contexts.
4. Utilize data analytics, business intelligence tools, and data visualization techniques to extract actionable insights and support strategic, data-driven decision-making.
5. Evaluate and apply emerging technologies such as AI, IoT, and Blockchain to drive digital transformation, enhance organizational performance, and formulate original research inquiries.
6. Conduct independent and collaborative research using appropriate methodologies, and communicate findings effectively through scholarly writing and presentations suited to diverse audiences.
7. dentify and address ethical, legal, and societal implications in the research, development, and use of information technologies, adhering to scientific and professional standards.
8. Collaborate effectively in multidisciplinary teams and demonstrate leadership in addressing complex technology-driven challenges.
9. Apply project management methodologies and tools to plan, execute, and monitor IT projects within organizational settings.
10. Develop and integrate information systems that align with organizational goals and strategies, supporting innovation and sustainable growth.
11. Perform comprehensive systems analysis and design, including requirements gathering, modeling, prototyping, and evaluating enterprise system architectures such as ERP, CRM, and SCM.
12. Assess and mitigate organizational information security risks by applying appropriate principles, technologies, and best practices in cybersecurity.

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