Specification of the course for the Book of courses
Study program
Title of the course
Teachers (for lectures)
Teacher/fellow teacher (for
exercises)
ESPB
Applied statistics
Design of experiments
Radovan Omorjan, Miroslav Ristic ,Marko Nedeljkov
Platon Sovilj, Dušan Rakić
Status of the course (obligatory (O)
/elective (E))
6
E
Conditions
Aim of the
course
Course
outcomes
The aim of this course is to enable students to design experiments using the scientific approach.
Analysis and understanding of different approaches to designing experiments.
Students will be able to choose an appropriate design of experiment on the basis of the observed
problems. Students will master the knowledge necessary for expert analysis of factorial
experiments, which includes the choice of contributing factors and models.
Content of the course
Introduction to experimentation in the industry. The strategy of experimentation. Fundamentals of
designing of experiments. Simple comparative experiments (based on a comparison of two
samples). Experiments with single factor: The analysis of variance. Approach to the analysis of
Theoretical variance based on regression. Nonparametric methods of analysis of variance. Completely
classes
random block design, Latin square and other designs of the experiment. Designing factorial
experiment. 2^k factorial plan. Pair of factorial experiments 2^k. Partial factorial experiments with
two levels. Methods for investigating reaction as a function of factors other approaches to process
optimization. Experiments with random factors. Hierarchical design and plot design.
Practical
classes
Practical classes include practicing content of theoretical training, using appropriate statistical
software environment.
References
1
Montgomery, D.C. (2001). Design and Analysis of Experiments, Fifth Edition, John Wiley & Sons,
INC., New York
2 Antony, J. (2003). Design of Experiments for Engineers and Scientists, Elsevier Science &
Technology Books
3 Cox, D. and Read, N. (2000). The theory of the design of experiments. Chapmann and Hall
4 Weber, D. and Skillings, J. (2000). A first course in the design of experiments. CRC Press
5 Cobb, G. (1998). Introduction to design and analysis of experiments. Springer-Verlag
The number of contact hours per week during the semester / trimester / year
Lectures
Exercises
DON
Research work
Other classes
2
Teaching
methods
2
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Lectures, exercises, writing the seminar papers, individual work
Evaluation of knowledge (maximum score 100)
Pre exam duties
points
Activity during lectures
5
Activity during exercises
5
colloquia
20
seminars
30
Final exam
Oral exam
points
40