DATA SCIENCE AND MANAGING BIG DATA
- Course
- BUSN555 - DATA SCIENCE AND MANAGING BIG DATA
- Department
- Master of Business Administration - English - Master
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 0
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
- Keywords
- -
Course Description
-
DATA SCIENCE AND MANAGING BIG DATA
Evaluation Tools (Active Term)
No evaluation items have been defined.
Course outcomes
- 01 Basics of Data Analytics and the concept of Big Data
- 02 To Understand Patterns, Causes Alghorithms
- 03 Data Management and How to Prepare Data
- 04 Getting Graphics and Seeing Data
- 05 By real life applications, deepening of the understanding
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Orientation to the course/ Introduction |
| Week 2 | What is the Big Idea |
| Week 3 | Looking for Patterns and Causes |
| Week 4 | Algorithms - Managing Complexity |
| Week 5 | The Cycle of Data Management |
| Week 6 | Preparing the Data |
| Week 7 | New Statistics and Hodoop |
| Week 8 | Regression Analysis |
| Week 9 | Mid-Term Exam |
| Week 10 | Getting Graphic and Seeing the Data |
| Week 11 | Expected Value Approach |
| Week 12 | Quantifying Quality |
| Week 13 | Braketology |
| Week 14 | Overfitting, Anomalies and Breaking Trends |
| Week 15 | Security Issues and the Future of Big Data |
Reference Books & Course Materials
- 01 Big Data. Hurwitz, Nugent, Hlper, Kaufman. 2013, Wiley
- 02 Harness The Power of Big Data. Zikopoulos, 2013, McGraw Hill
- 03 Hadoop. Roos, Zikopoulos, Melynyk, Brown, Coss. 2014. Wiley
- 04 All the PPTs and other material conveyed through MOODLE
Learning Outcomes
- L01 Basics of Data Analytics and the concept of Big Data
- L02 To Understand Patterns, Causes Alghorithms
- L03 Data Management and How to Prepare Data
- L04 Getting Graphics and Seeing Data
- L05 By real life applications, deepening of the understanding
Program Outcomes
- P01 PO1 Become competent in searching and comprehending the relevant academic articles, interpreting the information learnt or obtained via various channels and absorbing exceptional knowledge in their field.
- P02 PO2 Devoted themselves to be a qualified researcher and knowledge worker in their field all throughout their life and career.
- P03 PO3 Demonstrated that they developed their individual capabilities through written projects, assignments and presentations that they will independently implement both in academia and work contexts.
- P04 PO4 Gained key practical skills and knowledge which need to be implemented in their own research and business work environment.
- P05 PO5 Been able to implement critical and analytical thinking and analyses into their studies, research and work.
- P06 PO6 Become proficient in adopting the gained knowledge into practice and research in a critical, and analytical way.
- P07 PO7 Become experts in using information technology tools for their studies, research and workplace in an ethical and safely environment by sharing and transferring their knowledge.
- P08 PO8 Succeeded in working, researching and forming partnerships with their colleagues/team members in a global environment.
- P09 PO9 Proved themselves capable of disseminating and sharing knowledge, sustainingly communicating with others, in any global workplace or research setting.
- P10 PO10 Become capable of interpreting and transferring their qualified knowledge into practice and research.
- P11 PO11 Dedicated themselves to applying advanced academic studies and enrolled themselves in work or non-work projects related to environmental approaches and ethical issues.
Po-Lo Matrix
| LO | P01 | P02 | P03 | P04 | P05 | P06 | P07 | P08 | P09 | P10 | P11 | Average |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| L01 | - | - | - | - | - | - | - | - | - | - | - | - |
| L02 | - | - | - | - | - | - | - | - | - | - | - | - |
| L03 | - | - | - | - | - | - | - | - | - | - | - | - |
| L04 | - | - | - | - | - | - | - | - | - | - | - | - |
| L05 | - | - | - | - | - | - | - | - | - | - | - | - |