| International Trade and Business (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. |
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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) Has a broad and interdisciplinary perspective on international business and trade by the use of social sciences and mathematics, | |||||||||||||
| 2) Possess the knowledge and skills related to different functions and interactions of international business and trade. | |||||||||||||
| 3) Possess the knowledge and skills to interpret the data, concepts and ideas in the field of international business and trade with scientific and technological methods. | |||||||||||||
| 4) Use different theoretical approaches to understanding and solving various business and trade problems. | |||||||||||||
| 5) Explains the competitiveness of the countries with the requirements of international competition and interprets the functioning of the actors and regulatory structures in the international environment. | |||||||||||||
| 6) Understands the value of developing new trade projects and generating strategies within international market needs. | |||||||||||||
| 7) Solves complex business and global trade problems by using various statistical techniques and numerical methods and makes analyzes by using statistical programs effectively. | |||||||||||||
| 8) Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. | |||||||||||||
| 9) Develops teamwork, negotiation, leadership and entrepreneurship skills. | |||||||||||||
| 10) Possess the knowledge of universal ethical values, social responsibility and sufficient legal and regulatory knowledge. | |||||||||||||
| 11) Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them. | |||||||||||||
| 12) Students will be able to communicate their ideas and solutions both written and orally, and present and publish them on both national and international platforms. | |||||||||||||
| 13) Uses information and communication technologies together with computer software at the advanced level of European Computer Using License required by the field. | |||||||||||||
| No Effect | 1 Lowest | 2 Average | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Has a broad and interdisciplinary perspective on international business and trade by the use of social sciences and mathematics, | |
| 2) | Possess the knowledge and skills related to different functions and interactions of international business and trade. | |
| 3) | Possess the knowledge and skills to interpret the data, concepts and ideas in the field of international business and trade with scientific and technological methods. | |
| 4) | Use different theoretical approaches to understanding and solving various business and trade problems. | |
| 5) | Explains the competitiveness of the countries with the requirements of international competition and interprets the functioning of the actors and regulatory structures in the international environment. | |
| 6) | Understands the value of developing new trade projects and generating strategies within international market needs. | |
| 7) | Solves complex business and global trade problems by using various statistical techniques and numerical methods and makes analyzes by using statistical programs effectively. | |
| 8) | Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. | |
| 9) | Develops teamwork, negotiation, leadership and entrepreneurship skills. | |
| 10) | Possess the knowledge of universal ethical values, social responsibility and sufficient legal and regulatory knowledge. | |
| 11) | Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them. | |
| 12) | Students will be able to communicate their ideas and solutions both written and orally, and present and publish them on both national and international platforms. | |
| 13) | Uses information and communication technologies together with computer software at the advanced level of European Computer Using License required by the field. |
| 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 | ||||||