se.cs.ieu.edu.tr
Course Name | |
Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
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Fall/Spring |
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Course Language | |||||||||
Course Type | Elective | ||||||||
Course Level | - | ||||||||
Mode of Delivery | - | ||||||||
Teaching Methods and Techniques of the Course | |||||||||
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Course Lecturer(s) | |||||||||
Assistant(s) |
Course Objectives | |
Learning Outcomes | The students who succeeded in this course;
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Course Description |
| Core Courses | X |
Major Area Courses | ||
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | Introduction to Mathematical Modeling and OPL | Lecture notes |
2 | Building Linear Programming Models I : Workforce Planning | Lecture notes |
3 | Building Linear Programming Models II: Supply planning and CPM models | Lecture notes |
4 | Linearizing Logical Forms with Binary Variables, | Lecture notes |
5 | Building Integer Programming Models: Modeling integer programming models with conditional decisions, set packing, covering and partitioning problems | Lecture notes |
6 | Algorithm development and programming with ILOG OPL | Lecture notes |
7 | Quadratic Assignment Problem Model Formulations and Heuristic Solution Algorithms | Lecture notes |
8 | Traveling Salesman Problem Model Formulations and Heuristic Solution Algorithms | Lecture notes |
9 | Industrial Applications of Integer Programming I : Lot Sizing and Scheduling Models, Wagner Whitin Algorithm | Lecture notes |
10 | Industrial Applications of Integer Programming II : Assembly Line Balancing , Dedicated Storage System Models and Heuristic Solution Algorithms | Lecture notes |
11 | Industrial Applications of Integer Programming III : Modeling Machine Scheduling Problems I : Single Machine and Job Shop Scheduling Problems | Lecture notes |
12 | Industrial Applications of Integer Programming IV : Modeling Machine Scheduling Problems II : Single Machine and Job Shop Scheduling Problems with sequence dependent setup times | Lecture notes |
13 | Industrial Applications of Integer Programming V : Modeling Machine Scheduling Problems III : Heuristic solution algorithms and constraint programming models to solve single machine and job shop scheduling problems | Lecture notes |
14 | Project Presentations, | Reading journal papers |
15 | General Review, Discussion and Evaluation | |
16 | Review |
Course Notes/Textbooks | Model Building in Mathematical Programming, Fourth ed., H. Paul Williams, WILEY. |
Suggested Readings/Materials | Lecture PowerPoint slides, Reading Handouts, Articles from journals, Optimization in Operations Research, Ronald L.Rardin, Prentice Hall, ISBN : 0-02-398415-5, Introduction to Operations Research, Frederick S. Hillier, Gerald J. Lieberman, Ninth Edition, 2010 Mc Graw-Hill, ISBN: 978-007-126767-0 , Operations Research: Applications and Algorithms, Wayne L. Winston, Duxbury Press, ISBN 0-534 20971-8., Linear and Integer Programming Theory and Practice, Gerard Sierksma, Marcel Dekker Inc., Second Edition, ISBN 978-0824706739, Optimization Modeling A Practical Approach, Ruhul A. Sarker, Charles S. Newton, CRC Press, 2008, ISBN 978-1420043105, Applied Integer Programming, Modeling and Solution. Der-San Chen, Robert G. Batson, Yu Dang, Wiley, 2010. ISBN 978-0-470-37306-4, Logic and Integer Programming, H. Paul Williams, Springer, ISBN 978-0387922799, M. L. Pinedo, Scheduling: Theory, Algorithms, and Systems, 2005, Springer, ISBN 978-0387789347, IBM ILOG CPLEX OPTIMIZATION STUDIO (OPL) Documentation. |
Semester Activities | Number | Weigthing |
Participation | 1 | 5 |
Laboratory / Application | ||
Field Work | ||
Quizzes / Studio Critiques | ||
Portfolio | ||
Homework / Assignments | 1 | 15 |
Presentation / Jury | ||
Project | 1 | 10 |
Seminar / Workshop | ||
Oral Exam | ||
Midterm | 1 | 30 |
Final Exam | 1 | 40 |
Total |
Weighting of Semester Activities on the Final Grade | 60 | |
Weighting of End-of-Semester Activities on the Final Grade | 40 | |
Total |
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Course Hours (Including exam week: 16 x total hours) | 16 | 2 | 32 |
Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | 2 | |
Study Hours Out of Class | 15 | 1 | |
Field Work | |||
Quizzes / Studio Critiques | 2 | 2 | |
Portfolio | |||
Homework / Assignments | 1 | 1 | |
Presentation / Jury | |||
Project | 1 | 15 | |
Seminar / Workshop | |||
Oral Exam | |||
Midterms | 1 | 8 | |
Final Exams | 1 | 10 | |
Total | 117 |
# | 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 | |||||
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