IE266 ENGINEERING STATISTICS
| Course Code: | 5680266 |
| METU Credit (Theoretical-Laboratory hours/week): | 4 (4.00 - 0.00) |
| ECTS Credit: | 5.0 |
| Department: | Industrial Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Assoc.Prof.Dr. SEÇİL SAVAŞANERİL TÜFEKCİ |
| Offered Semester: | Spring Semesters. |
Course Objectives
At the end of the course, the students will
1. understand and use descriptive statistics
2. be able understand and use inferential statistics
3. be able to construct and analyze models of empirical relationships between variables.
Course Content
Descriptive statistics, statistical estimation, hypothesis testing, simple and multiple linear regression, introductory experimental design with emphasis on industrial engineering applications.
Course Learning Outcomes
Student, who passed the course satisfactorily will be able to:
1. construct graphical representations of data, interpret the graphs using MİNİTAB
2. compute the numerical values of the sample statistics and interpret them
3. find confidence intervals of the unknown parameters of the distributions from observed samples
4. test the statistical hypothesis about the unknown parameters of the distributions from an observed sample, compute related error probabilities
5. construct/estimate a linear model (regression/ design of experiments) with single and multiple independent variables, perform the significance tests
6. perform residual analysis, model transformation when necessary
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |||
| 4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ✔ | |||
| 5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
| 6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |||
| 8 | An ability to design, analyze, operate, and improve integrated systems that produce and/or supply products and/or services in an effective, efficient, sustainable, and socially responsible manner | ✔ | |||
| 9 | An ability to apply critical reason and systems thinking in problem solving and systems design | ✔ | |||
| 10 | An ability to use scientific methods and tools (such as mathematical models, statistical methods and techniques) necessary for industrial engineering practice | ✔ | |||