1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES
  3. INTERNATIONAL TRADE AND FINANCE DEPARTMENT
  4. 216 INTERNATIONAL TRADE AND FINANCE (Evening Classes))
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
BUSI 342LOGISTICS PLANNING AND MODELING3 + 08th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective The aim of this course is to teach the basic concepts of design, planning, control and improvement of production and service systems, to provide an integrated perspective on analytical decision making methods in a supply chain, to provide a detailed framework for demand forecasting concepts and techniques, to provide a detailed framework for the supply chain starting from capacity planning. is the teaching of planning for the whole. In line with these purposes, students will learn to use optimization software practically by learning techniques for the solution of uncertainties in real logistics systems.
Course Content This course aims to teach the concepts and techniques related to the design, planning, control and improvement of production and service operations. Topics covered in the course are: basic concepts of logistics planning and modeling, demand forecasting, stock control, linear programming models and solution methods, sensitivity analysis, transportation problems, assignment models, network analysis and decision analysis.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
2Students will be able to use analytical methods to solve real-world optimization problems.
1Students will be able to manage the planning activities in the supply chain.
3Students will be able to use integrated systems approach to detect and model problems in logistics systems.
4Students will be able to manage and evaluate forecasts.
5Students will be able to use optimization software effectively.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06
LO 001      
LO 002      
LO 003      
LO 004      
LO 005      
Sub Total      
Contribution000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14570
Mid-terms177
Final examination11111
Total Work Load

ECTS Credit of the Course





130

5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes