Syllabus
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Course Code: DSCS-419 Course Name: Design of Experiments |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
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| 1 | Analysis of variance (ANOVA): Definition and assumptions for ANOVA. Analysis of variance for one-way classification and two-way classifications for fixed effect models with one observation per cell. | |
| 2 | Introduction to design of experiments, terminology: experiment, treatment, experimental unit, blocks, experimental error, replication, precision, efficiency of a design, need for design of experiments, size and shape of plots and blocks. Fundamental principles of design: randomization, replication and local control. | |
| 3 | Completely randomized design (CRD), Randomized Block Design (RBD), their layout, statistical analysis, applications, advantages and disadvantages. Efficiency of RBD relative to CRD. | |
| 4 | Latin square design (LSD): Layout, statistical analysis, applications, merits and de-merits of LSD. Factorial designs: Definition, advantages and disadvantages, concept of mean effects and interaction in 2 2 design. | |
