ECTS - Network Models
Network Models (IE510) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
---|---|---|---|---|---|---|---|
Network Models | IE510 | Area Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Technical Elective Courses |
Course Level | Natural & Applied Sciences Master's Degree |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture, Question and Answer, Problem Solving. |
Course Lecturer(s) |
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Course Objectives | In this course, the students will be learning fundamental concepts of network models to be able to apply for their practical problems. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Review, flow problems, special purpose algorithms and advanced computational techniques for transportation and assignment problems, maximum flow problems, shortest paths, minimum cost flows, network simplex method, multicommodity flow problems, generalized networks, network model applications for production planning problems, travelling salesperson |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
---|---|---|
1 | Introduction to network flow problems | |
2 | Countinued | |
3 | Special purpose algorithms and advanced computational techniques for transportation and assignment problems. | |
4 | Theory, algorithms, and applications for maximum flow problems. | |
5 | The minimum cost flow problems and applications to production planning | |
6 | Continued | |
7 | Continued | |
8 | The Network simplex method. | |
9 | Continued | |
10 | Midterm | |
11 | Project Scheduling: CPM/PERT, time cost trade-off, time resource trade-off problems | |
12 | Resource constrained project scheduling, combinatorial methods and heuristic | |
13 | The travelling salesperson and similar combinatorial problems | |
14 | Countinued | |
15 | Final Examination Period | |
16 | Final Examination Period |
Sources
Course Book | 1. R.K. Ahuja, T.L. Magnanti, J.B. Orlin, Network Flows: Theory, Algorithms and Applications, Prentice Hall, 1993. |
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Other Sources | 2. J.D. McCabe, Network Analysis, Architecture and Design, 3rd edition, Morgan Kaufmann, 2007. |
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | - | - |
Presentation | - | - |
Project | 1 | 30 |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 1 | 30 |
Final Exam/Final Jury | 1 | 40 |
Toplam | 3 | 100 |
Percentage of Semester Work | 60 |
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Percentage of Final Work | 40 |
Total | 100 |
Course Category
Core Courses | |
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Major Area Courses | |
Supportive Courses | X |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
1 | Ability to apply the acquired knowledge in mathematics, science and engineering | X | ||||
2 | Ability to identify, formulate and solve complex engineering problems | X | ||||
3 | Ability to accomplish the integration of systems | X | ||||
4 | Ability to design, develop, implement and improve complex systems, components, or processes | X | ||||
5 | Ability to select/develop and use suitable modern engineering techniques and tools | X | ||||
6 | Ability to design/conduct experiments and collect/analyze/interpret data | |||||
7 | Ability to function independently and in teams | X | ||||
8 | Ability to make use of oral and written communication skills effectively | X | ||||
9 | Ability to recognize the need for and engage in life-long learning | X | ||||
10 | Ability to understand and exercise professional and ethical responsibility | X | ||||
11 | Ability to understand the impact of engineering solutions | X | ||||
12 | Ability to have knowledge of contemporary issues | X |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
---|---|---|---|
Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 16 | 1 | 16 |
Presentation/Seminar Prepration | |||
Project | 1 | 4 | 4 |
Report | |||
Homework Assignments | 4 | 4 | 16 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 16 | 16 |
Prepration of Final Exams/Final Jury | 1 | 25 | 25 |
Total Workload | 125 |