Course Name Code Semester T+U Hours Credit ECTS
Operations Research and Statistics YBS 519 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Prof.Dr. AYKUT HAMİT TURAN
Course Lecturers
Course Assistants
Course Category Field Proper Education
Course Objective The aim of this lecture is to teach the position of the statistics and operations research in decision making processes and to present basic information about statistics and operations research techniques.
Course Content Modeling with Linear Programming, Sensitivity Analysis, Business Applications of Linear Programming, Transportation and Assignment Problems, Multi Objective Decision Making Techniques, Descriptive and Inferential Statistics, Probability and Probability Distributions, Hypothesis Testing, Analyzing the relationship between variables, Qualitative data analysis
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Understating different kind of business problems and converting these to mathematical models Question-Answer, Drilland Practice, Simulation, Brain Storming, Case Study, Problem Solving, Testing, Homework, Project / Design,
2 Solving and interpreting the business problems Lecture, Question-Answer, Drilland Practice, Problem Solving, Testing, Homework, Project / Design,
3 Implementing the sensitivity analysis with understanding the relationship between model parameters and solution procedure Lecture, Question-Answer, Drilland Practice, Problem Solving, Project / Design, Testing, Homework,
4 Modeling, solving and interpreting the multi objective business models. Lecture, Question-Answer, Drilland Practice, Problem Solving, Testing, Homework, Project / Design,
5 Understanding the effect of the operations research techniques in real business environment Lecture, Question-Answer, Discussion, Brain Storming, Testing,
6 Understanding the value of operations research techniques in decision making and management processes Lecture, Question-Answer, Discussion, Brain Storming, Testing,
7 Understandig the value of statistics in decision making processes Lecture, Question-Answer, Discussion, Brain Storming, Testing,
8 Interpreting the relationship between management information systems and statistics. Lecture, Question-Answer, Discussion, Brain Storming, Testing,
9 Learning the suitable statistical methods to match the attributes of data sets and interpreting the statistical analysis solution Lecture, Question-Answer, Discussion, Drilland Practice, Group Study, Case Study, Self Study, Testing, Homework, Project / Design,
Week Course Topics Preliminary Preparation
1 Modeling with Linear Programming Taha, 11-66
2 Modeling with Linear Programming Taha, 11-66 / Winston 241-245
3 Sensitivity Analysis Taha, 141-162 / Winston, 127-137
4 Business Applications Winston, 245-297
5 Business Applications Winston, 245-297
6 Transportation and Assignment Problems Taha, 163-210 / Winston, 261-267
7 Multi Objective Decision Making Lecture Notes
8 MID TERM EXAM
9 Introduction to Statistical Analysis Lecture Notes / Anderson 1-29
10 Descriptive Statistics Lecture Notes / Anderson 30-154
11 Probability and Probability Distributions Lecture Notes / Keller 175-306
12 Hypothesis Testing Lecture Notes / Anderson 347-392 / Keller 525-596
13 Analyzing the Relationship Between Variables Lecture Notes / Keller 633-729
14 Qualitative Data Analysis Lecture Notes / Keller 596-632
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Can use next generation computing-based business analytics techniques and apply these methods to business problems
2 Offers developed solutions with information technologies such as Business Intelligence tools
3 Makes the routine decisions necessary for the execution of operational works with the help of information technologies.
4 Makes medium and long term strategic decisions with the help of information systems.
5 Can transform business processes into electronic form with the help of information systems
6 Contributes to the sustainability of processes with electronic transformation.
7 Makes a basic literature search on the field.
8 Knows about research methodology and applies this knowledge to informatics issues.
9 Leading the working group by communicating within the team in teamwork.
10 Effectively uses group communication technologies in IT projects management.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Ödev 25
2. Ödev 25
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Assignment 2 10 20
Final examination 1 15 15
Total Workload 141
Total Workload / 25 (Hours) 5.64
dersAKTSKredisi 6