BA6204 EXPERIMENTAL DESIGN FOR DECISION SCIENCES
| Course Code: | 3126204 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 8.0 |
| Department: | Business Administration |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | |
| Offered Semester: | Spring Semesters. |
Course Objectives
By the end of the course the students will be able to
- attain a theoretical understanding on design and analysis of experiments
- develop the necessary analytical and practical skills to design and analyze an experiment
- follow the necessary steps/procedures for experimental design & analysis via appropriate software packages such as Minitab and SPSS.
- acquire software outputs and make meaningful interpretations
Course Content
This PhD course aims to provide a fundamental understanding on the design and analysis of experiments which constitute one of the core methods of investigation in decision sciences. Topics that will be covered include analysis of variance, non-parametric analysis, randomized complete block designs, Latin square designs, Latin squares designs, balanced incomplete block designs, factorial experiments, two-level factorial designs, blocking&confounding, and two-level fractional factorial designs.
Course Learning Outcomes
By the end of the course the students will be able to
- make sense of analysis of variance,
- make sense of nonparametric analysis and tests
- make sense of randomized complete block designs and balanced incomplete block designs
- make sense of Latin square designs,
- make sense of factorial experiments and two-level factorial designs
- make sense of blocking & confounding in experiments
- make sense of two-level fractional factorial designs
- learn to apply the various concepts regarding the design and analysis of experiments via appropriate software programs (especially Minitab and SPSS)
- evaluate and interpret the outputs produced by these software packages