Information Package / Course Catalogue - Adnan Menderes University

General Information Unit Staff Academic Information Programme Outcomes Course Structure Diagram Contact Information

Person Responsible for Information Package

Ins. Hayri KEMİKSİZOĞLU

Ins. Şerife Gökçen YANIK

Lec. Ayşenur ÖREN

Lec. Cahit İNCİOĞLU

Lec. Cennet ARMAN ZENGİ

Lec. Durcan Özgün SARIOĞLU

Lec. Mithat Evrim DEMİR

Digital Transformation in Logistics

Course Code	: LGT276
Course Type	: Area Elective
Couse Group	: Short Cycle (Associate's Degree)
Education Language	: Turkish
Work Placement	: N/A

Theory	: 1
Prt.	: 2
Credit	: 2
Lab	: 0
ECTS	: 4

Objectives of the Course

Course Content

Name of Lecturer(s)

Learning Outcomes

1.	CLO 1 (Historical Analysis): Analyze chronologically the evolutionary stages of logistics from its military origins to the present, and the impact of industrial revolutions on transportation policies. .
2.	CLO 2 (Hardware and Infrastructure Knowledge): Explain the operating principles and hardware architectures of IoT (Internet of Things), sensors, telematics, and automation systems used in smart ports, warehouses, and transportation processes.
3.	CLO 3 (Algorithmic and Data-Driven Evaluation): Evaluate the impacts of artificial intelligence, big data, and route optimization software on operational efficiency, fuel savings, and cost management in logistics.
4.	CLO 4 (Integration and Security): Analyze the role of blockchain technology, paperless logistics (e-CMR), and integrated logistics software (WMS, TMS, ERP) in data-flow processes and cybersecurity.
5.	CLO 5 (Sectoral Application and Teamwork): Research, report, and present the digital transformation investments of global or national logistics companies using a collaborative teamwork approach

Recommended or Required Reading

1.	Editör: Mehmet İnce, Muhammed Turğut

Weekly Detailed Course Contents

Week 1 - Theoretical

Origins of Logistics and the Military Era: Etymology of the concept of logistics; military logistics networks in Antiquity and the Roman Empire; the evolution of communication, cryptography, and supply systems in warfare strategies.

Week 2 - Theoretical

Industrial Revolutions and the Standardization Process: The Industrial Revolution, the rise of railways, the adaptation of logistics to the business world after World War II, and the Container Revolution (Malcom McLean).

Week 3 - Theoretical

Transition from Modern Logistics to Digitalization: Integration of fragmented logistics activities during the 1980-2000 period; first barcode systems, EDI (Electronic Data Interchange), and the challenges of migrating manual processes to digital.

Week 4 - Practice

Hardware and Automation Architecture in Ports: The concept of smart ports; OCR (Optical Character Recognition) cameras, RTG/RMG crane automations, and the operational logic of Terminal Operating Systems (TOS).

Week 5 - Practice

IoT, Sensors, and Telematics in Transportation: Internet of Things (IoT) infrastructure; fleet tracking systems (telematics), cold chain sensors (temperature, humidity, shock), and data transmission technologies.

Week 6 - Practice

Artificial Intelligence and Big Data Analytics: The role of artificial intelligence and machine learning in logistics; route optimization algorithms, fuel-saving methods, and predictive maintenance.

Week 7 - Practice

Warehouse Automation Technologies and Robotics: Smart warehouse architectures; AGV (Automated Guided Vehicles), AMR (Autonomous Mobile Robots), smart glasses (Vision Picking), and voice picking systems.

Week 8 - Practice

Week 9 - Practice

Term Evaluation and the Future: Radical technologies that will shape the future of logistics (autonomous truck fleets, dark warehouses, etc.) and a general overview of the course and quick exam

Week 10 - Practice

Logistics Information Systems and Software Integrations: Enterprise Resource Planning (ERP), Warehouse Management Systems (WMS), and Transportation Management Systems (TMS) data integration and API usage.

Week 11 - Practice

Week 12 - Practice

Student Presentations - I (Port Automation): Prominent cybersecurity risks and data security standards in global port investments.

Week 13 - Practice

Student Presentations - II (IoT and Traceability): Smart cities, green logistics, and digital solutions aimed at reducing carbon footprints in transportation.

Week 14 - Practice

Student Presentations - III (Artificial Intelligence): The transformation of human resources and the management of cyber-physical systems in the logistics sector's digital transformation.

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Presentation	1	%15
Quiz	1	%5
Midterm Examination	1	%20
Final Examination	1	%60

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Practice	10	5	3	80
Presentation	1	2	10	12
Quiz	1	1	1	2
Midterm Examination	1	4	1	5
Final Examination	1	4	1	5
TOTAL WORKLOAD (hours)				104

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	3		3									3		3
OÇ-2	3		3									3		3
OÇ-3	3		3									2		2
OÇ-4	2		3									4		4
OÇ-5	3		3									4		4