Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
2UTL512Information Technologies in Supply Chain and Logistics3+0+03808.08.2022
Course Details
Language of Instruction Turkish
Level of Course Unit Master's Degree
Department / Program International Trade and Logistics (Non-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 %100

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
In-Term Studies Quantity Percentage
Project 1 % 40
Final examination 1 % 60
Total
2
% 100

 
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:
NoLearning 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
WeekTopicsStudy MaterialsMaterials
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
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11
C1
C2
C3
C4
C5
C6

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