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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

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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

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 Been able to demonstrate their learned skills and knowledge regarding business related issues and research which they can use continuously in their personal and business life.
  2. P02 PO2 Obtained theoretical and practical information from the courses that allowed students to learn and work independently.
  3. P03 PO3 Been ensured that they learnt by increasing their level of knowledge and skills which are necessary in their field.
  4. P04 PO4 Increased their creativity and analytical thinking and developed crucial skills which are needed to be applied both in their studies, research, and future careers.
  5. P05 PO5 Adopted and implemented ethical principles and moral values regarding the use of technology in their studies and professional lives by creating an awareness on using the technological imperatives.
  6. P06 PO6 Designed their theoretical and practical knowledge in a way that they could make use of in a collaborative usage and various working contexts.
  7. P07 PO7 Enrolled in intercultural or international projects which could provide opportunities to develop their skills and implement them successfully in their studies, research and future careers.
  8. P08 PO8 Improved their communication skills successfully and been able to implement them in various international education, research and work context by increasing their social capital.
  9. P09 PO9 Been able to implement their learnt knowledge and research skills into practice through scenarios, case studies, empirical articles and real-life observations.
  10. P10 PO10 Created awareness and developed ethical undertaking by incorporating the learnt theories with environmental approaches to be further implemented into their research and careers.

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 Average
L01 - - - - - - - - - - -
L02 - - - - - - - - - - -
L03 - - - - - - - - - - -
L04 - - - - - - - - - - -
L05 - - - - - - - - - - -