STAT457 STATISTICAL DESIGN OF EXPERIMENTS
Course Code: | 2460457 |
METU Credit (Theoretical-Laboratory hours/week): | 4 (3.00 - 2.00) |
ECTS Credit: | 6.0 |
Department: | Statistics |
Language of Instruction: | English |
Level of Study: | Undergraduate |
Course Coordinator: | Prof.Dr. İNCİ BATMAZ |
Offered Semester: | Fall Semesters. |
Course Objectives
Course Content
Strategies for Experimentation, Randomized Complete and Balanced Incomplete Block Designs, Latin Squares. General, Two-Level and Fractional Factorials. Blocking and Confounding in Two-Level Factorials. Introduction to Response Surface Methodology. Second-Order Experimental Designs. Nonnormal Responses. Unbalanced Data in Factorials. Split-Plot Designs, Nested Designs, Random Effect Models. Repeated Measures.
Course Learning Outcomes
Program Outcomes Matrix
Level of Contribution | |||||
# | Program Outcomes | 0 | 1 | 2 | 3 |
1 | Applying the knowledge of statistics, mathematics and computer to statistical problems and developing analytical solutions. | ✔ | |||
2 | Defining, modeling and solving real life problems that involve uncertainty, and interpreting results. | ✔ | |||
3 | To decide on the data collection technique, and apply it through experiment, observation, questionnaire or simulation. | ✔ | |||
4 | Analysing small and big volumes of data and interpreting results. | ✔ | |||
5 | Utilizing up-to-date techniques, computer hardware and software required for statistical applications; developing software programs and numerical solutions for specific problems when necessary. | ✔ | |||
6 | Taking part in intradisciplinary and interdisciplinary teamwork, using time efficiently, taking leadership responsibilities and being entrepreneurial. | ✔ | |||
7 | Taking responsibility in individual work and offering authentic solutions. | ✔ | |||
8 | Following contemporary developments and publications in statistical science, conducting research, being open to novelty and thinking critically. | ✔ | |||
9 | Efficiently communicating in Turkish and English to define and analyze statistical problems and to interpret the results. | ✔ | |||
10 | Having a professional and ethical sense of responsibility. | ✔ | |||
11 | Developing computational solutions to statistical problems that cannot be solved analytically. | ✔ | |||
12 | Having theoretical background and developing new theories in statistics, building relations between theoretical and practical knowledge. | ✔ | |||
13 | Serving the society with the expertise in the field. | ✔ |
0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution