| TYPE OF COURSE UNIT | Elective Course |
| LEVEL OF COURSE UNIT | Master's Degree Without Thesis |
| YEAR OF STUDY | - |
| SEMESTER | - |
| NUMBER OF ECTS CREDITS ALLOCATED | 10 |
| NAME OF LECTURER(S) | Professor Hakkı Okan Yeloğlu
|
| LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students;
1) Know a wide range of data analytics techniques (descriptive analytics, inferential analytics, and predictive analytics).
2) Master different data analysis problems encountered in applications with heavy data use.
|
| MODE OF DELIVERY | Face to face |
| PRE-REQUISITES OF THE COURSE | No |
| RECOMMENDED OPTIONAL PROGRAMME COMPONENT | Data Science |
| COURSE DEFINITION | Data Analytics is the science of analyzing data to convert information to useful knowledge. This knowledge could help us to make better decisions. This course aims to present you with a wide range of data analytic techniques (descriptive, inferential, predictive, and prescriptive analytics). |
| COURSE CONTENTS | | WEEK | TOPICS |
|---|
| 1st Week | Basic Definitions: Data, Information, Value of Data, Data Analysis | | 2nd Week | Inferential Data Analysis | | 3rd Week | Descriptive Data Analysis | | 4th Week | Survival Analysis | | 5th Week | Social Network Data Analysis | | 6th Week | Data Analysis Processes | | 7th Week | Data Analysis Processes | | 8th Week | Mid-term Examination | | 9th Week | Ethical and Legal Issues | | 10th Week | Social Network Modeling | | 11th Week | Terabyte Scaled Image Analysis Applications | | 12th Week | Big Data Analysis Between Web Sites | | 13th Week | Case Study Presentations | | 14th Week | Case Study Presentations |
|
| RECOMENDED OR REQUIRED READING | Inferential Data Analysis: Hypothesis Testing and Decision-Making, Tyrone Pretorius.
Descriptive Data Analysis and Statistics. Klaus Krickeberg, Van Trong PhamThi My Hanh Pham, Springer.
|
| PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Lecture,Discussion,Problem Solving |
| ASSESSMENT METHODS AND CRITERIA | | | Quantity | Percentage(%) |
|---|
| Mid-term | 1 | 25 | | Assignment | 3 | 30 | | Total(%) | | 55 | | Contribution of In-term Studies to Overall Grade(%) | | 55 | | Contribution of Final Examination to Overall Grade(%) | | 45 | | Total(%) | | 100 |
|
| ECTS WORKLOAD |
| Activities |
Number |
Hours |
Workload |
| Midterm exam | 1 | 3 | 3 | | Preparation for Quiz | | | | | Individual or group work | 14 | 7 | 98 | | Preparation for Final exam | 1 | 50 | 50 | | Course hours | 14 | 3 | 42 | | Preparation for Midterm exam | 1 | 45 | 45 | | Laboratory (including preparation) | | | | | Final exam | 1 | 3 | 3 | | Homework | 3 | 15 | 45 | | Total Workload | | | 286 |
|---|
| Total Workload / 30 | | | 9,53 |
|---|
| ECTS Credits of the Course | | | 10 |
|---|
|
| LANGUAGE OF INSTRUCTION | Turkish |
| WORK PLACEMENT(S) | No |
| | |
