Course Name Code Semester T+U Hours Credit ECTS
Operations Research and Statistics YBS 515 0 3 + 0 3 7
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator ERMAN COŞKUN
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, Testing, Homework, Project / Design,
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 Be aware of the different types of ınformation technologies and systems using in business, have enough knowledge to design a suitable system
2 Analyse the needs for an information systems and have control over the processes at the analysis, design and implementation stages of the database that belongs to the system
3 Convey information about current trends and their own studies both verbally and visually ways.
4 Be able to follow current developments in modern business techniques and technologies, especially information technologies
5 Understand the interaction between his departmant and other relational departmants, if necessary make a team, take responsibility and do the works with team.
6 Know the information technologies and systems using in different types of business, if necessary take the system responsibility.
7 Be aware of the social transformation especially in their own field and social, legal and moral responsbilities belongs to other work field.
8 Carry out a work which requires an expertness in their field.
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 20 20
Assignment 2 15 30
Final examination 1 20 20
Total Workload 166
Total Workload / 25 (Hours) 6.64
dersAKTSKredisi 7