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 Outcomes0123
1Applying the knowledge of statistics, mathematics and computer to statistical problems and developing analytical solutions.
2Defining, modeling and solving real life problems that involve uncertainty, and interpreting results.
3To decide on the data collection technique, and apply it through experiment, observation, questionnaire or simulation.
4Analysing small and big volumes of data and interpreting results.
5Utilizing up-to-date techniques, computer hardware and software required for statistical applications; developing software programs and numerical solutions for specific problems when necessary.
6Taking part in intradisciplinary and interdisciplinary teamwork, using time efficiently, taking leadership responsibilities and being entrepreneurial.
7Taking responsibility in individual work and offering authentic solutions.
8Following contemporary developments and publications in statistical science, conducting research, being open to novelty and thinking critically.
9Efficiently communicating in Turkish and English to define and analyze statistical problems and to interpret the results.
10Having a professional and ethical sense of responsibility.
11Developing computational solutions to statistical problems that cannot be solved analytically.
12Having theoretical background and developing new theories in statistics, building relations between theoretical and practical knowledge.
13Serving the society with the expertise in the field.

0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution