ARTIFICIAL INTELLIGENCE ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
IST2014 | Retailing Management | Spring | 1 | 2 | 2 | 3 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | Turkish |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Instructor HACER HANDAN DEMİR |
Recommended Optional Program Components: | There is none for this lesson. |
Course Objectives: | To obtain basic information about retailing management. To form a relationship between retailing marketing and other functions of a business such as human resources, finance and purchasing. Discuss the marketing mix elements in terms of retailing sector. Analyzing special concepts of retailing sector such as location choice and store atmosphere. Teaching the internet retailing in terms of multi channel retailing. To emphasize on the close relationship between retailing and technology in terms of internet retailing, customer relations management and supply chain management. |
The students who have succeeded in this course; To understand the required efficient in strategies in retailing management. To understand how to benefit resources and technologies used in retailing management To understand the analysis of store location choices, pricing, sales and product Developing information about current retailing management subjects in strategic level To understand the retailing in terms of performing key activities and relations To give academical support to the points mention above by application retailing theory and research |
1-Introduction to The Retailing Management 2-Classifying and Different Types of Retailing Organizations 3-Identifying Features of Retailing Organizations 4-Obtaining Information about Store Designs of Retailing Organizations 5-Choosing Locations 6-Product Diversification and Planning Process 7-Product Diversification and Planning Process 8-Midterm 9-Identifying Retailing Purchasing Systems 10-Human Resources Management in Retailing 11-Contribution on Choosing the Pricing Method in Retailing Organizations 12-Consumer Purchasing Behavior and Retailing 13-Financial Strategy on Retailing Organizations 14-Customer Relationship Management |
Week | Subject | Related Preparation |
1) | Introduction to The Retailing Management | |
2) | Classifying and Different Types of Retailing Organizations | |
3) | Identifying Features of Retailing Organizations | |
4) | Obtaining Information about Store Designs of Retailing Organizations | |
5) | Choosing Locations | |
6) | Structuring Categorization Management | |
7) | Product Diversification and Planning Process | |
8) | MIDTERM EXAM | |
9) | Identifying Retailing Purchasing Systems | |
10) | Human Resources Management in Retailing | |
11) | Contribution on Choosing the Pricing Method in Retailing Organizations | |
12) | Consumer Purchasing Behavior and Retailing | |
13) | Financial Strategy on Retailing Organizations | |
14) | Customer Relationship Management |
Course Notes / Textbooks: | Perakende Yönetiminin Temelleri, Nobel Yayın, 3. Baskı, Aydın, Kenan, 2010. ISBN:6051335131 Retailing Management, 8.Edition, Levy, Michael; Weitz, Barton A. 2012. Perakende PazarlamaYönetimi Yayıncı: Kendi Yayını 10 Ömer Baybars Tek ,Fatma Demirci Orel 2008 ISBN:9789944579100 |
References: | Bulunmamaktadır. There is none. |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 10 | % 10 |
Presentation | 1 | % 10 |
Midterms | 1 | % 30 |
Final | 1 | % 50 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 50 | |
PERCENTAGE OF FINAL WORK | % 50 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 14 | 1 | 14 |
Midterms | 1 | 10 | 10 |
Final | 1 | 10 | 10 |
Total Workload | 76 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Have sufficient background in mathematics, science and artificial intelligence engineering. | |
2) | Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. | |
3) | Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. | |
4) | Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction. | |
5) | Select and use modern techniques and tools necessary for engineering applications. | |
6) | Design and conduct experiments, collect data, and analyse and interpret results. | |
7) | Work effectively both as an individual and as a multi-disciplinary team member. | |
8) | Access information via conducting literature research, using databases and other resources | |
9) | Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning. | |
10) | Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field. | |
11) | Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level. | |
12) | Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age. | |
13) | Have a sense of professional and ethical responsibility. | |
14) | Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices. |