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TR

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

  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

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

  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. 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.
  2. P02 PO2 Devoted themselves to be a qualified researcher and knowledge worker in their field all throughout their life and career.
  3. 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.
  4. P04 PO4 Gained key practical skills and knowledge which need to be implemented in their own research and business work environment.
  5. P05 PO5 Been able to implement critical and analytical thinking and analyses into their studies, research and work.
  6. P06 PO6 Become proficient in adopting the gained knowledge into practice and research in a critical, and analytical way.
  7. 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.
  8. P08 PO8 Succeeded in working, researching and forming partnerships with their colleagues/team members in a global environment.
  9. P09 PO9 Proved themselves capable of disseminating and sharing knowledge, sustainingly communicating with others, in any global workplace or research setting.
  10. P10 PO10 Become capable of interpreting and transferring their qualified knowledge into practice and research.
  11. 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 - - - - - - - - - - - -