CE204 UNCERTAINTY AND DATA ANALYSIS
| Course Code: | 5620204 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 5.0 |
| Department: | Civil Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Prof.Dr. MUSTAFA TUĞRUL YILMAZ |
| Offered Semester: | Spring Semesters. |
Course Objectives
By the end of the course the students will comprehend basic theories of statistics and probability.
Course Content
Introduction to uncertainty and data analysis with emphasis to civil engineering applications. Fundamentals of probability including conditional probability, statistical independence, Bayes’ Theorem. Random variables and modeling variability. Functions of random variables. Random vectors, uncertainty propagation. Random sampling and parameter estimation. Statistical inference. Probability model tests. Regression analysis and introduction to simulation. Introduction to reliability-based design concepts and risk analysis.
Course Learning Outcomes
- Describe fundamental concepts of probability
- Describe random variables and modeling variability
- Describe functions of random variables
- Perform data analysis
- Implement random sampling and parameter estimation
- Calculate statistical parameters of various distributions
- Perform regression analysis
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 use techniques, skills, and engineering tools necessary for engineering practice | ✔ | |||