COMPUTER AIDED DATA ANALYSIS

Course Description

Following a general introduction, the qualitative and quantitative data, their systems of collection and analysis are given to the students. Regression and correlation analysis concepts. Case studies and solutions by using relevant software such as SPSS. Quality control concepts with respect to data analysis. Students will be able to manage qualitative data in an efficient and accessible manner, develop a qualitative data analysis plan, choose and apply different inductive and deductive approaches to coding appropriate to the data type and the context in which results will be used, employ and write analytical memos to aid in interpretation of qualitative data, understand the basic functions of computer-aided qualitative data analysis software, present qualitative findings in different settings using formats appropriate for different audiences.

COMPUTER AIDED DATA ANALYSIS

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Course outcomes

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Course Syllabus

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Reference Books & Course Materials

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Learning Outcomes

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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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