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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
ADVANCED OPERATION RESEARCH-Spring Semester3+248
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorAssoc.Prof. Yasin GÖÇGÜN
Name of Lecturer(s)Assoc.Prof. Yasin GÖÇGÜN
Assistant(s)
AimThis course aims to provide necessary information for mathematical optimization and its applications. It also aims to teach students how to use AMPL, a mathematical modeling language, for solving mathematical programming problems.
Course ContentThis course contains; Introduction to Optimization,Linear Programming-1,Linear Programming-2,Simplex method-1,Simplex method-2,Introduction to AMPL,Production Models using AMPL,Diets, Blending, and Scheduling Models using AMPL,Transportation, Assignment, and Minimum-Cost Flow Models using AMPL ,Multicommodity and multiperiod models using AMPL,Simple Sets and Indexing in AMPL,Compound Sets and Indexing in AMPL; Parameters and Expressions in AMPL
,Specifying Data in AMPL,Network Linear Programs using AMPL.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Students will be able to model a problem using mathematical programming10, 16, 6, 9A, E
Students will be able to solve small-sized problems using mathematical programming.10, 16, 6, 9A, E
Students will be able to construct an AMPL model of a mathematical programming problem10, 16, 6, 9A, E
Students will be able to solve a mathematical programming problem using AMPL.10, 16, 6, 9A, E
Teaching Methods:10: Discussion Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework

Course Outline

OrderSubjectsPreliminary Work
0Introduction to Optimization
1Linear Programming-1
2Linear Programming-2
3Simplex method-1
4Simplex method-2
5Introduction to AMPL
6Production Models using AMPL
7Diets, Blending, and Scheduling Models using AMPL
8Transportation, Assignment, and Minimum-Cost Flow Models using AMPL
9Multicommodity and multiperiod models using AMPL
10Simple Sets and Indexing in AMPL
11Compound Sets and Indexing in AMPL; Parameters and Expressions in AMPL
12Specifying Data in AMPL
13Network Linear Programs using AMPL
Resources
Frederik S. Hillier, Gerald J. Lieberman, Introduction to Operations Research, McGraw Hill

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
X
2
Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
X
3
Ability to design a complex 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.
4
Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
X
5
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
X
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
X
7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8
Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
X
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
X
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11
Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14342
Guided Problem Solving14228
Resolution of Homework Problems and Submission as a Report42080
Term Project000
Presentation of Project / Seminar000
Quiz000
Midterm Exam14040
General Exam15050
Performance Task, Maintenance Plan000
Total Workload(Hour)240
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(240/30)8
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
ADVANCED OPERATION RESEARCH-Spring Semester3+248
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorAssoc.Prof. Yasin GÖÇGÜN
Name of Lecturer(s)Assoc.Prof. Yasin GÖÇGÜN
Assistant(s)
AimThis course aims to provide necessary information for mathematical optimization and its applications. It also aims to teach students how to use AMPL, a mathematical modeling language, for solving mathematical programming problems.
Course ContentThis course contains; Introduction to Optimization,Linear Programming-1,Linear Programming-2,Simplex method-1,Simplex method-2,Introduction to AMPL,Production Models using AMPL,Diets, Blending, and Scheduling Models using AMPL,Transportation, Assignment, and Minimum-Cost Flow Models using AMPL ,Multicommodity and multiperiod models using AMPL,Simple Sets and Indexing in AMPL,Compound Sets and Indexing in AMPL; Parameters and Expressions in AMPL
,Specifying Data in AMPL,Network Linear Programs using AMPL.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Students will be able to model a problem using mathematical programming10, 16, 6, 9A, E
Students will be able to solve small-sized problems using mathematical programming.10, 16, 6, 9A, E
Students will be able to construct an AMPL model of a mathematical programming problem10, 16, 6, 9A, E
Students will be able to solve a mathematical programming problem using AMPL.10, 16, 6, 9A, E
Teaching Methods:10: Discussion Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework

Course Outline

OrderSubjectsPreliminary Work
0Introduction to Optimization
1Linear Programming-1
2Linear Programming-2
3Simplex method-1
4Simplex method-2
5Introduction to AMPL
6Production Models using AMPL
7Diets, Blending, and Scheduling Models using AMPL
8Transportation, Assignment, and Minimum-Cost Flow Models using AMPL
9Multicommodity and multiperiod models using AMPL
10Simple Sets and Indexing in AMPL
11Compound Sets and Indexing in AMPL; Parameters and Expressions in AMPL
12Specifying Data in AMPL
13Network Linear Programs using AMPL
Resources
Frederik S. Hillier, Gerald J. Lieberman, Introduction to Operations Research, McGraw Hill

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
X
2
Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
X
3
Ability to design a complex 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.
4
Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
X
5
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
X
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
X
7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8
Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
X
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
X
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11
Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 09/10/2023 - 10:42Son Güncelleme Tarihi: 09/10/2023 - 10:43