|
SCHOOL |
OF AGRICULTURAL SCIENCES |
||||
|
ACADEMIC UNIT |
AGRICULTURE |
||||
|
LEVEL OF STUDIES |
UNDERGRADUATE |
||||
|
COURSE CODE |
AGE0702 |
SEMESTER |
7 | ||
|
COURSE TITLE |
Applied Statistics | ||||
| INDEPENDENT TEACHING ACTIVITIES |
WEEKLY TEACHING HOURS |
CREDITS | |||
| Lectures | 4 | ||||
| Lab / Op. Exercises | 0 | ||||
| Exercises | 0 | ||||
|
TOTAL HOURS |
4 | 5 | |||
| COURSE TYPE | General background | ||||
| PREREQUISITE COURSES | |||||
| LANGUAGE OF INSTRUCTION and EXAMINATIONS | Greek | ||||
| IS THE COURSE OFFERED TO ERASMUS STUDENTS | YES (in English) | ||||
|
COURSE WEBSITE (URL) |
|
||||
2. LEARNING OUTCOMES
|
Learning Outcomes |
|
|
The purpose of the course is to introduce the basic concepts and techniques of the theory of probabilities, statistics and metric systems. Specialized techniques of statistical quality control and sampling are analyzed. Advanced techniques for managing quality in the design, development and production of a product, such as statistical process control, design of experiments, and Taguchis methods are described. Statistical Process Control. Design and Analysis of Experiments. Continuous Improvement Processes and Techniques Quality. Upon successful completion of the course, the student will be able to: • use advanced statistical tools and methods for its management quality • apply statistical techniques in the planning stages of development and production of a product. • apply for in-line and out-of-line quality control and improvement • use statistical programs on a limited scale |
|
|
General Competences |
|
|
Search, analysis and synthesis of data and information, using the necessary technologies. Promotion of free, creative and inductive thinking. Autonomous Work. Teamwork. |
3. SYLLABUS
|
Basic concepts and techniques from probability, statistics and metrics systems Specialized techniques of statistical quality control and sampling. Advanced techniques for quality management in the design stages, of development and production of a product, such as statistical process control, o design of experiments and Taguchis methods. Statistical Process Control (x2 test, Fisher test, McNemar test, test Wilcoxon, Mann-Whitney test, Freidman test, Kruskal-Wallis test, One way ANOVA). • Design and Analysis of Experiments. • Continuous Quality Improvement Processes and Techniques. |
4. TEACHING and LEARNING METHODS - EVALUATION
|
DELIVERY |
In the classroom (face to face) | ||||||||||||||||||||||||
|
USE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY |
Support learning process through e-class electronic platform | ||||||||||||||||||||||||
| TEACHING METHODS |
|
||||||||||||||||||||||||
|
STUDENT PERFORMANCE EVALUATION |
Final Written Exam 50% Assignment 50% |
5. SUGGESTED BIBLIOGRAPHY
| -Suggested bibliography : |
|
1. Tagaras G. N., 2001. Statistical Quality Control. Ziti Publications. [ISBN: 960-431-706-7] (in Greek) 2. Morfaw J. (2009). Total Quality Management. University Press of America. [ISBN: 0761847065] 3. J. T. Burr. (2004). Elementary Statistical Quality Control. Taylor & Francis Ltd. [ISBN: 9780824790523] 4. Johannes, Ledolter, Claude W., Burrill, (1998). Statistical Quality Control. John Wiley and Sons Ltd. [ISBN: 9780471183785] 5. T. P. Ryan. (2000). Statistical Methods for Quality Improvement. John Wiley and Sons Ltd.[ ISBN-10: 0471197750] |
|
-Related academic journals: |
|
Journal of Applied Statistics American Journal of Theoretical and Applied Statistics |