Economics (English) | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | EASF302 | ||||
Course Name: | Business Analytics | ||||
Semester: | Spring | ||||
Course Credits: |
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Language of instruction: | English | ||||
Course Condition: | |||||
Does the Course Require Work Experience?: | No | ||||
Type of course: | Compulsory Courses | ||||
Course Level: |
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Mode of Delivery: | E-Learning | ||||
Course Coordinator: | Dr. Öğr. Üy. FATİH KİRAZ | ||||
Course Lecturer(s): |
Dr. Öğr. Üy. ORHAN ÖZAYDIN |
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Course Assistants: |
Course Objectives: | This course is designed to provide students with an understanding of transforming data into action through analysis and insights in the context of organizational decision making and problem solving. |
Course Content: | Basic statistical concepts. R Programming. Data development, reporting and analysis. |
The students who have succeeded in this course;
1) Understand how to use business analytics to formulate and solve business problems. 2) Understand the processes required to develop, report and analyze business data. 3) Learn how to use and apply R Programming and its add-ins to solve business problems. |
Week | Subject | Related Preparation |
1) | Introduction and Basic Concepts | |
2) | Introduction to Statistics | |
3) | R Programming | |
4) | Data | |
5) | Problem Definition | |
6) | Statistical Techniques | |
7) | Statistical Techniques (cont.) | |
8) | Regression Techniques | |
9) | Regression Techniques (cont.) | |
10) | Predictive Analytics | |
11) | Machine Learning | |
12) | Prediction Evaluation | |
13) | Visualising | |
14) | Reporting | |
15) | Finals Week |
Course Notes / Textbooks: | Lecturer's notes Öğretim üyesi notları |
References: | Steven Orla Kimbrough, Hoong Chuin Lau, Business Analytics for Decision Making, Chapman and Hall/CRC, 2016, ISBN 9781482221763 |
Course Learning Outcomes | 1 |
2 |
3 |
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Program Outcomes | |||||||||||||
1) They have a broad and interdisciplinary perspective on economics using other social sciences and mathematics. | |||||||||||||
2) They have knowledge and skill about different functions and interactions of economy. | |||||||||||||
3) They use different theoretical approaches to comprehend and solve various economic problems. | |||||||||||||
4) They are aware of the needs of society and use their knowledge of economics to meet these needs. | |||||||||||||
5) They have in-depth knowledge on the current issues of the Turkish economy and the global economy. | |||||||||||||
6) They have in-depth knowledge on the history of the Turkish economy and basic level knowledge on the history of the global economy. | |||||||||||||
7) Using various statistical techniques and numerical methods, they establish correct economic models and make analyzes by using statistical programs effectively. | |||||||||||||
8) They use a foreign language at least at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. | |||||||||||||
9) They improve their skills of teamwork, negotiation, leadership and entrepreneurship. | |||||||||||||
10) They have universal ethical values, social responsibility awareness and adequate knowledge of business law. | |||||||||||||
11) Being able to develop positive attitudes with regards to lifelong learning, they identify their individual learning needs and carry out studies to fulfil them. | |||||||||||||
12) They express their ideas and solution proposals concerning their field both written and orally, and present and publish them on both national and international platforms. | |||||||||||||
13) They use information and communication technologies together with a computer software required by the field at least at advanced level of European Computer Driving License . |
No Effect | 1 Lowest | 2 Average | 3 Highest |
Program Outcomes | Level of Contribution | |
1) | They have a broad and interdisciplinary perspective on economics using other social sciences and mathematics. | |
2) | They have knowledge and skill about different functions and interactions of economy. | |
3) | They use different theoretical approaches to comprehend and solve various economic problems. | |
4) | They are aware of the needs of society and use their knowledge of economics to meet these needs. | |
5) | They have in-depth knowledge on the current issues of the Turkish economy and the global economy. | |
6) | They have in-depth knowledge on the history of the Turkish economy and basic level knowledge on the history of the global economy. | |
7) | Using various statistical techniques and numerical methods, they establish correct economic models and make analyzes by using statistical programs effectively. | |
8) | They use a foreign language at least at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. | |
9) | They improve their skills of teamwork, negotiation, leadership and entrepreneurship. | |
10) | They have universal ethical values, social responsibility awareness and adequate knowledge of business law. | |
11) | Being able to develop positive attitudes with regards to lifelong learning, they identify their individual learning needs and carry out studies to fulfil them. | |
12) | They express their ideas and solution proposals concerning their field both written and orally, and present and publish them on both national and international platforms. | |
13) | They use information and communication technologies together with a computer software required by the field at least at advanced level of European Computer Driving License . |
Semester Requirements | Number of Activities | Level of Contribution |
Homework Assignments | 1 | % 50 |
Final | 1 | % 50 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 50 | |
PERCENTAGE OF FINAL WORK | % 50 | |
total | % 100 |
Activities | Number of Activities | Preparation for the Activity | Spent for the Activity Itself | Completing the Activity Requirements | Workload | ||
Course Hours | 14 | 0 | 3 | 42 | |||
Study Hours Out of Class | 14 | 0 | 2 | 28 | |||
Project | 1 | 0 | 20 | 20 | |||
Final | 1 | 33 | 2 | 35 | |||
Total Workload | 125 |