Course Information

Semester	Course Unit Code	Course Unit Title	T+P+L	Credit	Number of ECTS Credits	Last Updated Date
2	UTL512	Information Technologies in Supply Chain and Logistics	3+0+0	3	8	08.08.2022

Course Details

Language of Instruction	Turkish
Level of Course Unit	Master's Degree
Department / Program	International Trade and Logistics (With Thesis)
Type of Program	Formal Education
Type of Course Unit	Elective
Course Delivery Method	Face To Face
Objectives of the Course	The aim of the course is to provide students with information about basic research techniques. It is about acquiring information about how to conduct both theoretical and field research and how to analyze and interpret the results of the research.
Course Content	In order to realize the purpose of the course, the course will be carried out theoretically and practically through the course resources specified as theoretical and practical.
Course Methods and Techniques
Prerequisites and co-requisities	None
Course Coordinator	None
Name of Lecturers	Associate Prof.Dr. İbrahim Akben
Assistants	None
Work Placement(s)	No

Recommended or Required Reading

Resources

Course Category

Social Sciences

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Planned Learning Activities and Teaching Methods

Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration	Total Work Load
Course Duration	15	3	45
Hours for off-the-c.r.stud	9	15	135
Assignments	2	10	20
Mid-terms	1	2	2
Practice	3	10	30
Project	1	10	10
Final examination	1	3	3
Total Work Load			Number of ECTS Credits 8 245

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:

No	Learning Outcomes
1	Enhance their understanding of the role of research in science—especially knowledge management.
2	To help them learn about the research process and methods
3	To enable them to seriously analyze and evaluate research in the field of knowledge management.
4	To enable them to think systematically and apply analytical methods in solving problems in the field of information management.
5	To teach data collection, data analysis and evaluation techniques
6	To enable them to prepare research reports.

Weekly Detailed Course Contents

Week	Topics	Study Materials	Materials
1	Electro-mobility at green transports
2	Cognitive skills, insight, and innovation at logistics
3	Internet of things (IoT) for improving logistics sector
4	Artificial and Augmented Intelligence at logistics sector
5	Digital twins at logistics sector
6	Decision support systems in logistics
7	Metaverse universe in Logistics and Supply Chain
8	M2M Communications in Transport and Logistics
9	Logistics Simulation
10	Supply Chain Visibility and Control Tower Approach
11	Sustainability Powered by Technology
12	Learning Algorithms in Logistics
13	Big data Analytics
14	Just in Time systems

Contribution of Learning Outcomes to Programme Outcomes

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant