CENG222 STATISTICAL METHODS FOR COMPUTER ENGINEERING
Course Code: | 5710222 |
METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
ECTS Credit: | 5.0 |
Department: | Computer Engineering |
Language of Instruction: | English |
Level of Study: | Undergraduate |
Course Coordinator: | Assoc.Prof.Dr. ŞEYDA ERTEKİN BOLELLİ |
Offered Semester: | Spring Semesters. |
Course Objectives
At the end of this course the students will be able to:
- analyze and interpret large scale data,
- apply probability theory and statistics to handle uncertainty,
- infer facts and relationships from collected data, and
- construct simulations by sampling from arbitrary distributions
The course will provide the students the ability to apply knowledge of mathematics, science, and engineering; therefore supporting the corresponding student outcome.
Course Content
Introduction to probability. Discrete and continuous random variables and their distributions. Simulations of random variables. Descriptive statistics. Statistical inference. Regression. Monte Carlo methods. Stochastic processes. Queuing systems.
Prerequisite: MATH 120
Course Learning Outcomes
The course supports the following student outcomes defined in ABET General Criterion 3 for engineering programs:
- an ability to apply knowledge of mathematics, science, and engineering
- an ability to design and conduct experiments, as well as to analyze and interpret data
- an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
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 | ✔ |