Statistical Methods In Engineering
Engineering Management (Non Thesis) (EP)
Institute of Natural and Applied Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Statistical Methods In Engineering | MHY121 | Elective | Master's degree | 1 | Spring | 6 |
Name of Lecturer(s)
Assistant Prof. Dr. Celal ÖZKALE
Assistant Prof. Dr. Yıldız ŞAHİN
Learning Outcomes of the Course Unit
1) Solving the basic probability problems.
2) Providing information about discrete probability distributions, continuous probability distributions, random samples, and their statistics.
3) Providing information about statistical hypothesis tests and significance tests, compliance tests.
4) Explaining the meaning and necessity of random sampling.
5) Applying regression analysis, correlation analysis and analysis of variance to decision problems.
6) Deciding statistically by the help of the computer.
Program Competencies-Learning Outcomes Relation
Bölümün/programın program yeterlilikleri sistemde olmadığından ilişkilendirme işlemi yapılamamıştır.
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Statistical Quality Control
Course Contents
Fundamentals of probability, discrete probability distributions, continuous probability distributions, random samples and their statistics, random sampling means, estimation, sampling design, and Introduction to the techniques of statistical hypothesis testing, significance - conformance testing, regression and correlation analysis, variance analysis, computer aided statistical decision making, application examples.
Weekly Schedule
1) Fundamentals of probability2) Discrete probability distributions, continuous probability distributions
3) Discrete probability distributions, continuous probability distributions
4) random samples and their statistics
5) statistical hypothesis testing, tests of significance
6) statistical hypothesis testing, tests of significance
7) conformance testing
8) Midterm examination/Assessment
9) Random sampling means and the necessity
10) Regression analysis, correlation analysis
11) analysis of variance
12) Statistical analysis with SPSS
13) Statistical analysis with Minitab 16
14) Paper presentations
15) Paper presentations
16) Final examination
Recommended or Required Reading
1- Murray Spiegel, Larry, J. Stephens, Shaums Outlines, İstatistik, 1999
2- Murray Spiegel, Larry, J. Stephens, Shaums Outlines, Statistics, 1999
Planned Learning Activities and Teaching Methods
1) Lecture
2) Discussion
3) Demonstration
4) Group Study
5) Problem Solving
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required