DATA SCIENCE AND MANAGING BIG DATA

Course Description

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DATA SCIENCE AND MANAGING BIG DATA

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 Basics of Data Analytics and the concept of Big Data
2. 02 To Understand Patterns, Causes Alghorithms
3. 03 Data Management and How to Prepare Data
4. 04 Getting Graphics and Seeing Data
5. 05 By real life applications, deepening of the understanding

Course Syllabus

Reference Books & Course Materials

1. 01 Big Data. Hurwitz, Nugent, Hlper, Kaufman. 2013, Wiley
2. 02 Harness The Power of Big Data. Zikopoulos, 2013, McGraw Hill
3. 03 Hadoop. Roos, Zikopoulos, Melynyk, Brown, Coss. 2014. Wiley
4. 04 All the PPTs and other material conveyed through MOODLE

Learning Outcomes

1. L01 Basics of Data Analytics and the concept of Big Data
2. L02 To Understand Patterns, Causes Alghorithms
3. L03 Data Management and How to Prepare Data
4. L04 Getting Graphics and Seeing Data
5. L05 By real life applications, deepening of the understanding

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.

Po-Lo Matrix