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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: Endowed with the ability to evaluate self-learning needs adapted to the principle of lifelong learning.
  2. P02 PO2: Established a general knowledge of economics sufficient to conduct independent and original research on economic issues and suggest relevant economic policies to solve both microeconomic and macroeconomic problems.
  3. P03 PO3: Reached the required knowledge and skills; to understand the foundations, basic framework, and complexity of economic theories; to recognize the contribution and limitations of traditional theories; to explore modern economic theories and modeling of more complex situations; and to apply introduced theories in a discussion of research interests.
  4. P04 PO4: Engaged in scientific inquiry, critical thinking, using quantitative and qualitative methods to demonstrate the ability to analyze and make recommendations for complex contemporary economic issues.
  5. P05 PO5: Demonstrated the development of critical thinking and scientific reasoning skills with an attention to ethical aspects of data analytics, and been aware of acting in accordance with the ethical standard of scientific research and professional work.
  6. P06 PO6: Been equipped with the ability to plan, take responsibility in economic projects individually or within a team for economic decision making for a variety of economic concepts in national and global environment.
  7. P07 PO7: Endowed with the ability to communicate and explain effectively economic arguments both in oral and written ways to those with scholar knowledge and non-experts.
  8. P08 PO8: Been able to apply economic theory and methods in real life situations which is of primary importance to generate relevant economic policies and conduct economic research.
  9. P09 PO9: Developed an ability to conduct economic research and write a thesis connecting the theory and empirical conditions with particular attention to ethical perspectives and social responsibilities.

Po-Lo Matrix

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