COURSE UNIT TITLE

: OPERATIONS RESEARCH

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
QMT 4211 OPERATIONS RESEARCH ELECTIVE 3 0 0 5

Offered By

BUSINESS ADMINISTRATION (English)

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR SABRI ERDEM

Offered to

BUSINESS ADMINISTRATION (English)

Course Objective

This course aims to develop the students knowledge of model description, further concepts of decision science and the basics of modeling approaches.

Learning Outcomes of the Course Unit

1   Demonstrate understanding the models and scope of operations research,
2   Demonstrate understanding of the concepts of dynamic vs. static and stochastic vs. deterministic processes,
3   Practice network models,
4   Build basic applications of OR models
5   Gain skills on software packages for operations research.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Linear Programming: Recall Assigning problems as HW
2 Network Models (Minimum and maximum flow)
3 Network Models (Shortest path and minimum spanning trees) Assigning problems as HW
4 Transshipment and Capacitated Network Models
5 Computer Applications Introducing Lindo/Lingo Assigning Lab Exercises as HW
6 Case Presentations Lecture Content: (Submission of Case Reports Peer Evaluations)
7 Goal Programming Assigning problems as HW
8 Data Envelopment Analysis
9 Nonlinear Programming Assigning problems as HW
10 Dynamic Programming
11 Computer Applications Assigning Lab Exercises as HW
12 Application Presentations Lecture Content: (Submission of Case Reports Peer Evaluations)
13 Application Presentations Lecture Content: (Submission of Case Reports Peer Evaluations)
14 Application Presentations Lecture Content: (Submission of Case Reports Peer Evaluations)

Recomended or Required Reading

1. Text Books:
Introduction to Management Science, Hillier and Hillier, 2010, Pearson Education.
Işletme Problemleri için Optimizasyon -Adım Adım Uygulama Örnekleriyle, Sabri ERDEM, Makina Mühendisleri Odası Yayınları, 2010
Introduction to Operations Research, by Hillier & Hillier, Lieberman, McGraw-Hill 2000 and later
Introduction to Management Science 7th Ed. By Bernard W. Taylor III, Pearson Education
Operations Research an Introduction, 9th Edition by Hamdy A. TAHA
Sayısal Yöntemler: Yönetsel Yaklaşım by Ş. GÜMÜŞOĞLU, H. TÜTEK, 2008-2010, Beta Yayıncılık

2. Lecture Slides:
Complementary of the text book.

3. Software:
Spreadsheet Software with Solver add-in.
Lindo/Lingo (optional)

4. Calculator:
Students will need a scientific calculator for various calculation problems in and out of class, and during exams.

Planned Learning Activities and Teaching Methods

1. Lectures
Class lecture is highly interactive and format is direct. The instructor prompts students for response to questions posed and solicits their thoughts on issues discussed. Lectures will focus on the transfer of intermediate operations research concepts and techniques where comprehension is substantially enhanced by additional elaboration and illustration. The emphasis is on business applications rather than rigorous mathematics.

2. Review Sessions and Class Discussions
Review sessions will be handled by the instructor each week in the last session of a lecture. In-class assignments and homework assignments are the basis of problems to be solved in these sessions. Individual participation by students in classroom discussion is strongly encouraged.

3. Computer Applications
In the laboratory component, Spreadsheet Software and a particular solver package will be employed to perform analyses of data. Instruction on the use of this software as it relates to optimization problems will be provided in class and in the book.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MT Midterm
2 TP TermProject
3 PRS Presentation
4 FCG FINAL COURSE GRADE MT * 0.20 +TP * 0.60 + PRS * 0.20


Further Notes About Assessment Methods

1. Home works (20%), Lab Assignments (20%) and Participation
Homework problems will be assigned frequently. It is imperative that you work and understand these problems to successfully complete the course. It is strongly recommended the students to work all homework problems as a study tool for the exams.
By completing homework assignments, each student will enhance analytical skills, as well as, improve competency utilizing Spreadsheet Software and a solver package for optimization and analysis. By actively participating in class discussions and in-class assignments, each student will improve communication and analytical skills through learning statistical concepts and business applications.
2. Case Analysis (30%) and Real World Applications (30%)
Case studies and real world applications will offer an excellent opportunity for students to perform operational analysis and develop solutions to realistic situations. For the real world applications, a group including three students should be formed. Any deviation from this target number requires approval of the instructor. The cases will be assigned to each group by the instructor by the beginning of the semester. Topics consist of the case analysis of a optimization problems found in managing a business, government, or non-profit organization, whether product or service oriented.
Case reports will be submitted to the instructor prior to the end of the midterm week as both a handout and a digital file named as course, departmentname and groupname (for example, OperationsResearch_Business_GroupOne). Each application report should be typed by using Microsoft Word and/or Excel and comprises the following: (i) a title page with the case title and full names of the authors, (ii) the main body of the report starting on the second page, and (iii) the report appendix. The main body of the report is where the group provides answers to each of the case questions, and can be up to three pages long.

Assessment Criteria

1. Grade for Student Participation will depend on (i) your class attendance, (ii) the quality of the answers you provide to questions posed by the instructor during class, and (iii) the general contribution you make to the creation of a positive learning environment.

2. A good attendance record may bring the grade up one level, for grades on the boundary between two grade levels.

3. The case analysis and real world applications require a cooperative effort. It is the responsibility of the team to assure that each team member has contributed approximately equally to the group work. Cases will be graded by the instructor and by the team members. Each member of the group will be asked at the end of the semester to evaluate his or her own contribution, and those of other team members. A peer evaluation form will be supplied during the last week of class.

4. Case reports and real world application reports will be evaluated for such factors as apparent understanding of the topic, originality of treatment and discussion, accuracy of results, comprehensiveness of the report s content and depth of the analysis, clarity and mechanics of presentation such as organization, format, punctuation, grammar, and quality of exhibits and charts.

Language of Instruction

English

Course Policies and Rules

1. Attending at least 70 percent of lectures is mandatory.
2. Plagiarism of any type will result in disciplinary action.
3. Absence will not be considered an excuse for submitting homework assignments late.
4. Delayed case and real world application reports will suffer grade decay equivalent to one letter grade per day late.
5. Students are required to have their own calculator for this course. It will not be allowed to share a calculator during exams. Cellular phones cannot be used as a calculator during an exam.

Contact Details for the Lecturer(s)

sabri.erdem@deu.edu.tr

Office Hours

TBA

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 10 3 30
Tutorials 0 0 0
Preparations before/after weekly lectures 8 1 8
Preparation for midterm exam 0 0 0
Preparation for final exam 0 0 0
Preparation for quiz etc. 0 0 0
Preparing assignments 6 5 30
Preparing assignments 2 20 40
Preparing presentations 2 5 10
Final 0 0 0
Midterm 0 0 0
Quiz etc. 0 0 0
TOTAL WORKLOAD (hours) 118

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15
LO.112215133
LO.212215123
LO.31315142
LO.41253515422
LO.511435154513