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  Course Description
Course Name : Operation Research Techniques

Course Code : MMD421

Course Type : Optional

Level of Course : First Cycle

Year of Study : 4

Course Semester : Fall (16 Weeks)

ECTS : 3

Name of Lecturer(s) : Assoc.Prof.Dr. SUPHİ URAL

Learning Outcomes of the Course : LISTS THE OPREATIONAL RESEARCH TECHNIQUES.
ANALYZES A SYSTEM OR PROCESS.
ADDRESSES CONSTRAINTS.
ESTABLISHES THE MODEL GINIVG THE OPTIMUM SOLUTION.
LISTS MODELS OF NETWORK.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : MMD101 Mathematics I

Recommended Optional Programme Components : None

Aim(s) of Course : TO HELP STUDENTS IN ANALYZING A PROBLEM AND MEETING THE REQUIREMENTS OF SETTING UP A MODEL UNDER REALISTIC CONSTRAINTS

Course Contents : INTRODUCTION TO OPERATION RESEARCH/ THE INVERSE OF A MATRIX, DETERMINANT/ LINEAR PROGRAMMING; GRAPHICAL SOLUTIONS/ THE SIMPLEX ALGORITHM; USING THE SIMPLEX ALGORITHM TO SOLVE MINIMIZATION AND MAXIMIZATION PROBLEMS, ALTERNATIVE OPTIMAL SOLUTIONS/ SENSITIVITY ANALYSIS AND DUALITY/ NETWORK MODELS; SHORTEST PATH MODELS, CPM AND PERT METHODS, MINIMUM COST NETWORK FLOW PROBLEMS.

Language of Instruction : Turkish

Work Place : CLASSROOMS AND LABORATORİES OF THE DEPARTMENT ENGINEERING AND ARCHITECTURE


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 INTRODUCTION: OPERATIONS RESEARCH TECHNIQUES, SIMULATION, MODELLING COURSE NOTES AND OTHER RESOURCES COURSE PRESENTATION
2 LINEAR PROGRAMMING: MODEL BUILDING AND GRAPHICAL SOLUTION TECHNIQUE COURSE NOTES AND OTHER RESOURCES COURSE PRESENTATION
3 LINEAR PROGRAMMING: SENSITIVITY ANALYSIS COURSE NOTES AND OTHER RESOURCES COURSE PRESENTATION
4 LINEAR PROGRAMMING: ENCODE MODELBY COMPUTER SOFTWARE COURSE NOTES AND OTHER RESOURCES COURSE PRESENTATION
5 SIMPLEX METHOD: DESCRIPTION OF THE DUAL PROBLEM COURSE NOTES AND OTHER RESOURCES COURSE PRESENTATION
6 SIMPLEX METHOD:ECONOMIC INTERPRETATION OF DUALITY COURSE NOTES AND OTHER RESOURCES COURSE PRESENTATION
7 SIMPLEX METHOD:ANALYSIS AFTER OPTIMIZED COURSE NOTES AND OTHER RESOURCES COURSE PRESENTATION
8 NETWORK MODELS:MINIMUM SPANNING TREE COURSE NOTES AND OTHER RESOURCES COURSE PRESENTATION
9 MIDTERM EXAM
10 NETWORK MODELS:THE SHORTEST PATH PROBLEM COURSE NOTES AND OTHER RESOURCES COURSE PRESENTATION
11 NETWORK MODELS:MAXIMUM FLOW MODEL COURSE NOTES AND OTHER RESOURCES COURSE PRESENTATION
12 NETWORK MODELS:THE CRITICAL PATH METHOD COURSE NOTES AND OTHER RESOURCES COURSE PRESENTATION
13 NETWORK MODELS: COURSE NOTES AND OTHER RESOURCES COURSE PRESENTATION
14 BUILDING MODEL BY SIMULATION COURSE NOTES AND OTHER RESOURCES COURSE PRESENTATION
15 FINAL EXAM
16/17 FINAL EXAM


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  COURSE NOTE
 OPERATIONS RESEARCH, Hamdy A. TAHA, 2000
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 100
    Homeworks/Projects/Others 0 0
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Students gain adequate knowledge about the engineering fields in the branches of mathematics, physical sciences or their own branches 2
2 Students follow the current developments in their fields with a recognition of the need for lifelong learning and constantly improve themselves 4
3 Students use the theoretical and practical knowledge in mathematics, physical sciences and their fields for engineering solutions 2
4 Students choose and use the appropriate analytical mehtods and modelling techniques to identify, formulate, and solve the engineering problems 3
5 Students design and carry out experiments, collect data, analyze and interpret the results. 1
6 Students gain the capacity to analyze a system, a component, and desing the process under realistic constraints to meet the desired requirements; and the ability to apply the methods of modern design accordingly 5
7 Students choose and use the modern technical tools necessary for engineering practice. 2
8 Students gain the ability to work effectively both as an individual and in multi-disciplinary teams. 1
9 Students use the resources of information and databases for the purpose of doing research and accesing information. 2
10 Students follow the scientific and technological developments in recognition of the need for lifelong learning, and continuously keep their knowledge up to date. 2
11 Students use the information and communication technologies together with the computer software at the level required by the European Computer Driving Licence. 2
12 Students use a foreign language according to the general level of European Language Portfolio B1 to communicate effectively in oral and written form. 1
13 Students gain the ability to communicate using technical drawing. 1
14 Students become informed of professional and ethical responsibility. 2
15 Students develop an awareness as regards project management, workplace practices, employee health, environmental and occupational safety; and the legal implications of engineering applications. 1
16 Students develop an awareness of the universal and social effects of engineering solutions and applications, the entrepreneurship and innovation subjects and gain knowledge of contemporary issues 4
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 13 3 39
    Out of Class Study (Preliminary Work, Practice) 13 2 26
Assesment Related Works
    Homeworks, Projects, Others 0 0 0
    Mid-term Exams (Written, Oral, etc.) 1 5 5
    Final Exam 1 5 5
Total Workload: 75
Total Workload / 25 (h): 3
ECTS Credit: 3