|NAME OF COURSE/MODULE:||EXPERIMENTAL DESIGN|
|NAME(S) OF ACADEMIC STAFF:||PROF EM DR JALANI SUKAIMI|
|RATIONALE FOR THE INCLUSION OF THE COURSE/MODULE IN THE PROGRAMME:||This course is a useful preparation for research work in food-biotechnology professions. Its covers experimental designs to account for different constraints that experimenters have to deal with, such as time, resources, material heterogeneity, repeated measures on subjects and randomization constraints..|
|SEMESTER AND YEAR OFFERED:||SEM 1 / YEAR 3|
|TOTAL STUDENT LEARNING TIME (SLT)||FACE TO FACE||TOTAL GUIDED AND INDEPENDENT LEARNING|
|L = Lecture
T = Tutorial
P = Practical
L + T + P + O = 120 HOURS
|PREREQUISITE (IF ANY):||NONE|
|OBJECTIVES:||1. To master the fundamental concepts involved in planning an experiment in the presence of constraints
2. To analyze data and interpret results based on the design selected
3. To assure of obtaining a more valid result from the experiment conducted
|Upon successful completion of this course students should have the ability to:
1. Apply and follow appropriate experimental design and its analysis in scientific research (A3 – LO3).
2. Construct and propose correct experimental design (e.g completely randomized designs (CRD), randomized complete block designs (RCBD), regression, correlation, covariance, latin square design (LSD), factorial, split plot design, combined experiments and incomplete block design) to test scientific hypothesis (P4 – LO2).
3. Differentiate and justify the technique of analyzing and interpreting data from various designs (A3 – LO3).
4. Use and practice statistical softwares (Minitab) to analyze the experimental data (A2 – LO2).
|TRANSFERABLE SKILLS:||Students should be able to develop problem solving and analytical skills through a process of lectures and tutorials.|
|TEACHING-LEARNING AND ASSESSMENT STRATEGY:||Teaching-learning strategy:
The course will be taught through a combination of formal lectures, assignments, group work, using authentic materials, informal activities and various textbooks.
|This course is designed to provide knowledge to students how to use design techniques and experimental analysis in Science and Technology. Some knowledge of basic statistics is required. First part of the course covers the review of statistics, data screening, histogram, randomized plot, T-test and analysis of variance. Experimental design will be emphasized, and the elements of statistical tests, particularly analysis of variance, will be considered in a biological context. The objectives are to enable students to identify the use of experimental design and its analysis, to know the benefits and weaknesses the various experimental designs, to study the technique of analyzing and interpreting data from various designs, and to know how to use statistical softwares (Minitab) to analyze the experimental data. Practical work involves use of computers and software, and generally will complement methods introduced in lectures. This course deals with various types of experimental designs and the methods of analysis of data obtained from such experiments. In particular, it covers topics such as completely randomized designs (CRD), randomized complete block designs (RCBD), regression, correlation, covariance, latin square design (LSD), factorial, split plot design, combined experiments and incomplete block design.|
|MODE OF DELIVERY:||Lecture, tutorial and assignment.|
|ASSESSMENT METHODS AND TYPES:|
|A. Continuous Assessment (40%)|
Team Work and Ethics
· Interactive Learning
|B. Final Examination (60%)|
|Examination||60%||· Structuredtype questions
· Essay type questions
|MAIN REFERENCES SUPPORTING THE COURSE||1. Christensen, L B; R B Johnson & L A Turner. (2011). Research Methods, Design, and Analysis. Pearson.
2. Dean, A & D Voss (1999). Design and Analysis of Experiments. Springer-Verlag.
3. Kirk, R E (1982). Experimental: Procedures for the Behavioral Sciences. 2nd Edition. Wadsworth Inc.
4. Kuehl, R O (200). Designs of Experiments.Statistical Principles of Research design and Analysis. 2nd Edition. Brooks/Cole.
5. Montgomery, D C. (2009). Design and Analysis of Experiments. 7th Edition. John Wiley & Sons Ltd.
6. Oehlert, G W (2010) A First Course in Design and Analysis of Experiments. GW Oehlert.
7. Rangaswary, R. (2010). A Textbook of Agricultural Statistics. New Age International Publications.
8. Frigon, NL & D Mathews. (2003). Practical Guide to Experimental Design. John Wiley & Sons Inc.
9. Garcia-Diaz, A & DT Phillips. (2003). Principles of Experimental Design and Analysis. Chapman & Hall.
10. Mason, RL, RF Gunst & JL Hess. (2003). Statistical Design and Analysis of Experiments, with Application to Engineering & Science. 2nd Edition. Wiley Intersceince.
11. Melas, VB (2005). Functional Approach to Experimental Design (Lecture Notes in Statistics). Springer.
12. Toutenburg, H. (2002). Statistical Analysis of Designed Experiments. 2nd Edition. Springer.
|ADDITIONAL REFERENCES SUPPORTING THE COURSE||NIL|
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