ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
LOG3711	Logistics Operations Management	Spring	3	0	3	5

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Prof. Dr. YAVUZ GÜNALAY
Course Lecturer(s):	Dr. Öğr. Üyesi LEVENT AKSOY
Recommended Optional Program Components:	none
Course Objectives:	Students are exposed to different processes seen in logistics operations, and their importance both at the strategic and operational levels. Differences as well as similarities among manufacturing and service operations are discussed. Basic management tools used at the operational level of logistics institutions are presented. Moreover, students are asked to prepare a team project on one of the course topics of their choice.

Learning Outcomes

The students who have succeeded in this course;
I. Be familiar with the basic Operations Management terminology, and describe the similarities and differences of goods and service operations
II. Define Mission-Strategy relationship and describe operations/production strategies.
III. Define logistics operations.
IV. Identify different location and distribution models and compare them.
V. Identify logistics and supply chain networks
VI. Define supply chain and why bullwhip effect occurs.
VII. Define capacity and aware of different capacity management models.
VIII. Be familiar of benefits and risks of inventory and inventory management techniques.
IX. Define waste and lean production.
X. Describe quality and different quality management tools.

Course Content

Description of Operations Management and Operations Strategy. Discussion of basic topics in logistics operations, such as design of supply networks, location and layout, capacity management, inventory management, lean management, and quality.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	What is operations? Importance of Operation Management.
2)	Mission-Goal-Strategy. Operations strategy.	Pre-reading
3)	Performance of operations.	Pre-reading
4)	Design of services and goods.	pre-reading
5)	Process design.	Pre-reading
6)	Decision of location and layout	Pre-reading
7)	Supply chain management.	Pre-reading
8)	Capacity management.	Pre-reading
9)	Review
10)	Inventory management.	Pre-reading
11)	Planning, scheduling and ERP	pre-reading
12)	Lean management.	Pre-reading
13)	Quality management.	Pre-reading
14)	Operations improvement and review

Sources

Course Notes / Textbooks:	Russell and Taylor, Operations Management,: Creating Value along the Supply Chain, 7th Ed., Wiley, 2011. (ISBN:9780470646236)
References:	Stevenson W. L., Operations Management, 9th Ed., McGraw Hill, 2007. Heizer, J, and B. Render, Operations Management, 10h Ed., Pearson Education, 2011. (ISBN:0-13-607366-2)

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance	10	% 10
Quizzes	7	% 10
Project	1	% 25
Midterms	1	% 25
Final	1	% 30
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 45
PERCENTAGE OF FINAL WORK		% 55
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Workload
Course Hours	14	42
Study Hours Out of Class	14	64
Presentations / Seminar	4	12
Midterms	1	2
Final	1	2
Total Workload		122

Contribution of Learning Outcomes to Programme Outcomes

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.