MIS202 Operations Research 1Istinye UniversityDegree Programs Management Information Systems (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Management Information Systems (English)

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Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code: MIS202
Course Name: Operations Research 1
Semester: Spring
Course Credits:
ECTS
4
Language of instruction: English
Course Condition:
Does the Course Require Work Experience?: No
Type of course: Compulsory Courses
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator: ALİ NADİ ÜNAL
Course Lecturer(s): Dr. Öğr. Üy. GÜRBÜZ ÜNAL
Öğr. Gör. SERHAT SAYLAM
Dr. Öğr. Üy. ERFAN BABAEE TIRKOLAEE
Course Assistants:

Course Objective and Content

Course Objectives: This course is the first step in modeling and optimizing real-life systems. It aims to introduce students to linear programming problems (LPP) and to teach the solution methods of different LPPs . Students will also be familiar with concepts such as sensitivity analysis and duality , and will learn to apply LP to problems such as networking, assignment, and transport.
Course Content: Introduction to operations research and linear programming (LP); graphical methods and applications; interpretation of graphical method results; graphical sensitivity analysis; simplex method and its applications; interpretation of simplex results; simplex sensitivity analysis; Using computer software in solving LP problems; duality ( duplicity ); transportation and assignment problems and solution algorithms; network problems and solution algorithms;

Learning Outcomes

The students who have succeeded in this course;
1) 1) Understand the concepts of modeling and optimization and distinguish between various optimization models
2) 2) Develop linear programming (DP) models using a real-life system problem definition
3) 3) Understand and apply different solution algorithms associated with linear programming problems ( DPPs ).
4) 4) Uses at least one software and/or decoder plugin to deal with DP issues.
5) 5) Critically analyze, interpret and present DP solutions in an understandable way.
6) 6) Applies DP to different advanced problems.

Course Flow Plan

Week Subject Related Preparation
1) Introduction to Modeling Winston Part-1
2) LP and Graphical Method Winston Part-3
3) Graphical Method – continued Winston Part-3
4) Basic Mathematics and Linear Algebra Winston Part-2
5) Simplex Method Winston Episode-4
6) Simplex Method – continued Winston Episode-4
7) Graphical Sensitivity Analysis Winston Episode-5
8) Midterm Exam
9) Simplex Sensitivity Analysis Winston Episode-6
10) Simplex Sensitivity Analysis , Duality _ Winston Episode-6
11) Duality – continued _ Winston Episode-6
12) Transportation Problems Winston Episode-7
13) Assignment Problems Winston Episode-7
14) Network Problems Winston Episode-8

Sources

Course Notes / Textbooks: - Winston, W.L. (2004). Operations Research: Applications and Algorithms, 4th Ed., Thomson Learning.
- Hillier F.S. and Lieberman, F.S. (2015). Introduction to Operation Research, 10th Edition, McGraw-Hill Education.
- Topçu, Y.İ. and Kabak, Ö. (2018). Yöneylem Araştırması I Ders Notları (1-2).
- Taha, H.A (2017). Operations Research: An Introduction, 10th (Global) Edition, Pearson.
- Baray, Ş.A. (2017). Yöneylem Araştırması. ("Taha, H.A (2017). Operations Research: An Introduction" 6. Basımdan Çeviri).
References: - Winston, WL (2004). Operations Research : Applications and Algorithms , 4th Ed., Thomson Learning.
- Hillier FS and Lieberman , FS (2015). Introduction to Operation Research , 10th Edition, McGraw-Hill Education .
- Topçu, Y.İ. and Kabak, O. (2018). Operations Research I Lecture Notes (1-2).
- Taha, HA (2017). Operations Research : An Introduction , 10th (Global) Edition, Pearson .
- Baray , Ş.A. (2017). Operations research. ("Taha, HA (2017). Operations Research : An Introduction " Translation from 6th Edition).

Course - Program Learning Outcome Relationship

Course Learning Outcomes

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2

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5

6

Program Outcomes
1) It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering.
2) Comprehends the management information systems in terms of technical, organizational and managerial aspects and uses the current programming language by knowing the logic of programming.
3) Uses different information technologies and systems for understanding and solving various business problems.
4) Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods.
5) Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database.
6) Gains technical and managerial contributions to IT projects and takes responsibility.
7) Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively.
8) Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education.
9) Develops teamwork, negotiation, leadership and entrepreneurship skills.
10) Has universal ethical values, social responsibility awareness and sufficient legal knowledge.
11) Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them.
12) Students will be able to communicate their ideas and solutions both written and orally, and present and publish them on both national and international platforms.
13) It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering. 2
2) Comprehends the management information systems in terms of technical, organizational and managerial aspects and uses the current programming language by knowing the logic of programming. 1
3) Uses different information technologies and systems for understanding and solving various business problems. 3
4) Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods. 3
5) Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database. 3
6) Gains technical and managerial contributions to IT projects and takes responsibility. 3
7) Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively. 3
8) Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. 1
9) Develops teamwork, negotiation, leadership and entrepreneurship skills. 1
10) Has universal ethical values, social responsibility awareness and sufficient legal knowledge. 1
11) Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them. 1
12) Students will be able to communicate their ideas and solutions both written and orally, and present and publish them on both national and international platforms. 1
13) It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field. 2

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 1 % 30
Midterms 1 % 30
Final 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

Workload and ECTS Credit Calculation

Activities Number of Activities Workload
Course Hours 14 28
Laboratory 14 28
Homework Assignments 5 5
Midterms 6 6
Final 6 12
Total Workload 79