11111

COURSE INTRODUCTION AND APPLICATION INFORMATION


ce.cs.ieu.edu.tr

Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Fall/Spring
Prerequisites
 ISE 204To succeed (To get a grade of at least DD)
Course Language
Course Type
Elective
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator -
Course Lecturer(s)
Assistant(s) -
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • Will be able to describe the limitations of classical optimization methods
  • Will be able to model production management and industrial systems engineering field problems using these methods
  • Will be able to model production management and industrial systems engineering field problems using dynamic programming
  • Will be able to model production management and industrial systems engineering field problems using hybrid optimization methods
  • Will be able to solve these production management and industrial systems engineering field problems models' using appropriate software
Course Description

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
X
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Fundamentals of Optimization Review Lecture Notes
2 Dissasembly Problems, - Introduction, definitions, classification Lecture Notes
3 Disassembly specific examples definitions, disassembly planning - Presentation Lecture Notes
4 Disassembly Planning - Presentation Lecture Notes
5 Disassembly Scheduling 1/2 - Presentation Lecture Notes
6 Mini test 1 Lecture Notes
7 Disassembly Scheduling - Presentation Lecture Notes
8 Mini Test 2 Lecture Notes
9 Disassembly Heuristics - Presentations
10 Advanced Planning and Scheduing - Lot Sizing and Scheduling - Presentation Lecture Notes
11 Lot Sizing and Scheduling - Presentation Lecture Notes
12 Mini Test 3 / Lot Sizing and Scheduling - Presentation Lecture Notes
13 Lot Sizing and Scheduling - Presentation Lecture Notes
14 Mini Test 4 / Lot Sizing and Scheduling - Presentation Lecture Notes
15 Review and Presentations Lecture Notes
16 Review of the Semester  
Course Notes/Textbooks
Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
20
Laboratory / Application
Field Work
Quizzes / Studio Critiques
4
20
Portfolio
Homework / Assignments
2
10
Presentation / Jury
2
20
Project
Seminar / Workshop
Oral Exam
Midterm
Final Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
65
Weighting of End-of-Semester Activities on the Final Grade
35
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
2
45
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
1
12
Final Exams
1
15
    Total
165

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

Adequate knowledge in Mathematics, Science and Computer Engineering; ability to use theoretical and applied information in these areas to model and solve Computer Engineering problems

X
2

Ability to identify, define, formulate, and solve complex Computer Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose

X
3

Ability to design a complex computer based system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose

X
4

Ability to devise, select, and use modern techniques and tools needed for Computer Engineering practice

X
5

Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Computer Engineering problems

X
6

Ability to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; ability to work individually

7

Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of two foreign languages

8

Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself

9

Awareness of professional and ethical responsibility

10

Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development

11

Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of Computer Engineering solutions

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 

İzmir Ekonomi Üniversitesi | Sakarya Caddesi No:156, 35330 Balçova - İZMİR Tel: +90 232 279 25 25 | webmaster@ieu.edu.tr | YBS 2010