Information Package / Course Catalogue
Artificial Intelligence and Its Applications in Logistics
Course Code: LOJ269
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 3
Objectives of the Course

To enable students to understand AI technologies in logistics processes, evaluate their applications, and gain the ability to make strategic decisions.

Course Content

This course aims to summarize the fundamental concepts, applications, benefits, and future role of artificial intelligence in logistics and supply chain management. It addresses the integration of AI technologies to achieve efficiency, cost reduction, and competitive advantage in the logistics sector.

Name of Lecturer(s)
Learning Outcomes
1.To explain AI concepts in the context of logistics.
2.Analyzing applications such as routing, inventory, and warehouse optimization.
3.Solving problems through real case studies.
4.Discussing ethics and future trends.
5.Registration of artificial intelligence, Integration of the logistics system.
Recommended or Required Reading
1.Gürler, H. E. (2025). ''Innovative and Sustainable Approaches in Logistics''. Istanbul: Efe Akademi Publications
2.Gürler, H. E. (2026). ''Innovative and Sustainable Approaches in Logistics 2''. Istanbul: Efe Akademi Publications
Weekly Detailed Course Contents
Week 1 - Theoretical
Basic concepts of logistics and supply chain.
Week 1 - Preparation Work
Distribution and reading of the course syllabus
Week 2 - Theoretical
The history and types of artificial intelligence.
Week 2 - Preparation Work
Review a document or watch a video explaining the importance of this topic
Week 3 - Theoretical
The importance and transformative potential of AI in logistics.
Week 3 - Preparation Work
Review a document or watch a video explaining the importance of this topic
Week 4 - Theoretical
Data collection, cleaning, visualization. Logistics data (GPS, IoT sensors, ERP)
Week 4 - Preparation Work
Review a document or watch a video explaining the importance of this topic
Week 5 - Theoretical
Demand forecasting and inventory optimization.
Week 5 - Preparation Work
Review a document or watch a video explaining the importance of this topic
Week 6 - Theoretical
Route optimization and logistics planning.
Week 6 - Preparation Work
Review a document or watch a video explaining the importance of this topic
Week 7 - Theoretical
Warehouse management and automation.
Week 7 - Preparation Work
Review a document or watch a video explaining the importance of this topic
Week 8 - Theoretical
Prediction and decision support systems.
Week 8 - Preparation Work
Review a document or watch a video explaining the importance of this topic
Week 9 - Theoretical
Supply chain risk management and forecasting.
Week 9 - Preparation Work
Review a document or watch a video explaining the importance of this topic
Week 10 - Theoretical
Autonomous vehicles and last-mile delivery.
Week 10 - Preparation Work
Review a document or watch a video explaining the importance of this topic
Week 11 - Theoretical
Chatbots, customer service, and NLP.
Week 11 - Preparation Work
Review a document or watch a video explaining the importance of this topic
Week 12 - Theoretical
Industry 4.0, IoT, and AI integration.
Week 12 - Preparation Work
Review a document or watch a video explaining the importance of this topic
Week 13 - Theoretical
Al in sustainability and green logistics.
Week 13 - Preparation Work
Review a document or watch a video explaining the importance of this topic
Week 14 - Theoretical
Ethics, safety, legal aspects, and future trends.
Week 14 - Preparation Work
Review a document or watch a video explaining the importance of this topic
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%10
Assignment1%10
Midterm Examination1%20
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141242
Assignment1707
Midterm Examination110010
Final Examination115015
TOTAL WORKLOAD (hours)74
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
OÇ-1
4
5
3
2
4
OÇ-2
4
4
5
5
5
4
OÇ-3
3
3
4
4
5
3
OÇ-4
2
4
4
3
3
5
2
2
5
OÇ-5
5
4
5
5
4
3
5
Adnan Menderes University - Information Package / Course Catalogue
2026