Course syllabus
010913530-65 การวิจัยการดำเนินงาน (Operations Research)
Course Syllabus
Data entry : Asst.Prof. Dr.Chayathach Phuaksaman
1. Course number and name
010913530-65 การวิจัยการดำเนินงาน (Operations Research)
2. Credits and contact hours
3(3-0-6)
3. Instructor’s or course coordinator’s name
Asst.Prof. Dr.Chayathach Phuaksaman
Asst.Prof. Dr.Siravit Swangnop
4. Text book, title, author, and year
- Handy A. Taha, An Introduction to Operations Research, International Edition, Prentice-Hall, Inc., Simon & Schuster/A Viacom Company, Upper Saddle Rever, New Jersey eighth edition, 1997
5. Specific course information
- brief description of the content of the course (catalog description)
Operations research, mathematical modeling, application with linear programing, principles of simplex method, transportation model, assignment model, network analysis, queuing theory, game theory and dynamic programing, simulation model, application to computer program for operation research. - prerequisites or co-requisites
040503011-65 Statistics for Engineers and Scientists - indicate whether a required, elective, or selected elective (as per Table 5-1) course in the program
Required :
6. Specific goals for the course
- specific outcomes of instruction (e.g. The student will be able to explain the significance of current research about a particular topic.)
- explicitly indicate which of the student outcomes listed in Criterion 3 or any other outcomes are addressed by the course.
ABET Student Outcome (SO) Listed in Criterion 3 Performance indicator SO1 an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics. - PI-1.1 Identify the problem and identify key issues/variables
- PI-1.2 Formulate an appropriate model of a system or process
- PI-1.3 Show solution procedure (or Solving methods)
SO5 an ability to function effectively on a team whose members together provide leadership, create a collaborative environment, establish goals, plan tasks, and meet objectives. - PI-5.1 Establish a collaborative and inclusive environment (Teamwork
- PI-5.2 Fulfill individual responsibilities and contribute to the team’s success. (Individual accountability)
- PI-5.3 Define team goals and deadlines, plan tasks, organize & facilitate effective team meetings. (Project managemen
7. Brief list of topics to be covered
- Introduction to linear Programming • The Simplex Method • Sensitivity analysis • Transportation and assignment problem • Integer programming • Excel solver • Duality problem • Network Models • Deterministic Dynamic Programming • Forecasting Model
8. Course Assessment
| Course assessment | Weight score (%) | Assessment tools | Date |
|---|---|---|---|
| Assignment | 10 | assignment | |
| Midterm | 40 | midterm examination | |
| Final | 50 | final examination |
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