11111

COURSE INTRODUCTION AND APPLICATION INFORMATION


se.cs.ieu.edu.tr

Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Fall/Spring
Prerequisites
 ISE 203To 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 use methods and techniques that are available for building scheduling systems in different manufacturing systems
  • Will be able to develop mathematical models for dealing with scheduling problems
  • Will be able to analyze the results of software packages that are designed to solve scheduling problems
  • Will be able to describe applications in practice
Course Description

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction to the course Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer Chapter 1; Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapter 1
2 Notation, Dispatching Rules Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Chapters 2,3; Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapters 2, 14
3 Mathematical Programming, Branch and Bound Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, App A; Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, App A
4 Kurban Bayramı
5 Single Machine Scheduling Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapters 3,4
6 Single Machine Scheduling Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapters 3,4
7 Single Machine Scheduling Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapters 3,4
8 Midterm
9 Scheduling of Flexible Assembly Systems Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer Chapter 6
10 Scheduling of Flexible Assembly Systems Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer Chapter 6
11 Job Shop Scheduling Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer Chapter 5; Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapter 7
12 Job Shop Scheduling Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer Chapter 5; Scheduling: Theory, Algorithms and Systems, Pinedo, M., Springer, 3e, 2008, Chapter 7
13 Workforce Scheduling Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer Chapter 12
14 Project presentations
15 Review
16 Review of the Semester  
Course Notes/Textbooks Production Planning and Industrial Scheduling, D. R. Sule, CRC Press, 2008
Suggested Readings/Materials Principles of Sequencing and Scheduling, K. Baker and D. Trietsch, Wiley, 2007 Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
15
Laboratory / Application
Field Work
Quizzes / Studio Critiques
3
15
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
15
Seminar / Workshop
Oral Exam
Midterm
1
25
Final Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
70
Weighting of End-of-Semester Activities on the Final Grade
30
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
15
2
Field Work
Quizzes / Studio Critiques
3
2
Portfolio
Homework / Assignments
3
Presentation / Jury
Project
1
5
Seminar / Workshop
Oral Exam
Midterms
1
10
Final Exams
1
15
    Total
114

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Be able to define problems in real life by identifying functional and nonfunctional requirements that the software is to execute
2 Be able to design and analyze software at component, subsystem, and software architecture level
3 Be able to develop software by coding, verifying, doing unit testing and debugging X
4 Be able to verify software by testing its behaviour, execution conditions, and expected results
5 Be able to maintain software due to working environment changes, new user demands and the emergence of software errors that occur during operation
6 Be able to monitor and control changes in the software, the integration of software with other software systems, and plan to release software versions systematically
7 To have knowledge in the area of software requirements understanding, process planning, output specification, resource planning, risk management and quality planning
8 Be able to identify, evaluate, measure and manage changes in software development by applying software engineering processes
9 Be able to use various tools and methods to do the software requirements, design, development, testing and maintenance
10 To have knowledge of basic quality metrics, software life cycle processes, software quality, quality model characteristics, and be able to use them to develop, verify and test software
11 To have knowledge in other disciplines that have common boundaries with software engineering such as computer engineering, management, mathematics, project management, quality management, software ergonomics and systems engineering X
12 Be able to grasp software engineering culture and concept of ethics, and have the basic information of applying them in the software engineering
13

Be able to use a foreign language to follow related field publications and communicate with colleagues

X

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

 

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