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SDÜ Education Information System Course Content
Programme
Graduate School of Natural and Applied Sciences Mining Engineering
Course Information
Course Unit Code
Course Unit Title
Credit Theoretic
Credit Pratic
Credit Lab/A
Credit Total
Credit Ects
Semester
01MAD9620
Evaluation of Experimental Data
3.00
0.00
0.00
3.00
6.00
1
Course Information
Language of Instruction
Turkish
Type of Course Unit
Elective
Course Coordinator
-- NAZMİ ŞENGÜN
Course Instructors
3-Nazmi ŞENGÜN
Course Assistants
 
Course Aims
Be able to make analysis (regression, correlation, variance) of the data obtained from experiments made to determine the engineering properties of rocks with statistical programs (SPSS, MS Excel), determinate the errors in the experimental data and perform to reliability tests.
Course Goals
Determination of errors in the experimental data
Mean, standard deviation, kurtosis and skewness measure to experimental data
Simple and multiple regression, correlation, analysis of variance application
Performing to reliability tests
Learning Outcomes of The Course Unit
Learn to determine the possible errors in the experimental data
Learn to apply statistical tests to data
Learn to draw scatter graphs of experimental data and determine the fit model
Learn to make reliability tests to generated models
Course Contents
Basic concepts of measurement, measurement, units, measurement uncertainties, mod, median, range, precision, accuracy, absolute error, relative error, experimental error in the data types and systematic error, random error, statistical analysis of experimental data, data collection and processing, data presentation, regression analysis, confidence intervals, Q and F tests
Prerequisities and Co-requisities Courses
 
Recommended Optional Programme Components
 
Mode Of Delivery
 
Level of Course Unit
 
Assessment Methods and Criteria
ECTS / Table Of Workload (Number of ECTS credits allocated)
Studies During Halfterm
Number
Co-Efficient
Activity
Number
Duration
Total
Visa
1
50
Course Duration (Excluding Exam Week)
14
3
42
Quiz
1
20
Time Of Studying Out Of Class
14
3
42
Homework
1
30
Homeworks
3
15
45
Attendance
0
0
Presentation
0
0
0
Application
0
0
Project
0
0
0
Lab
0
0
Lab Study
0
0
0
Project
0
0
Field Study
0
0
0
Workshop
0
0
Visas
1
15
15
Seminary
0
0
Finals
1
25
25
Field study
0
0
Workload Hour (30)
30
TOTAL
100
Total Work Charge / Hour
169
The ratio of the term to success
40
Course's ECTS Credit
6
The ratio of final to success
60
 
TOTAL
100
 
Recommended or Required Reading
Textbook
Saim SARAÇ, 2000. Statistics for Engineers, Course note
Additional Resources
1. Experimental Methods for Engineers", Jack P. Holman, McGraw-Hill Mechanical Engineering, 7th Edition., 2001.
2. "Measurement and Data Analysis for Engineering and Science", Patrick F. Dunn, McGraw-Hill Mechanical Engineering, 1st Edition, 2005.
3. "Introduction to Engineering Experimentation:2/e", Anthony Wheeler and Ahmad Ganji,Prentice Hall, 2004.
4. Ölçme tekniği :boyut, basınç, akış ve sıcaklık ölçmeleri. Genceli, Osman F., Birsen Yayınevi, 1995
5. Morris, Alan S. Measurement and instrumentation principles. Butterworth-Heinemann, 2006
6. Dally, James W. Instrumentation for engineering measurements. Wiley, 1993
7. Measurement and Data Analysis for Engineering and Science. Patrick F. Dunn, McGraw-Hill Mechanical Engineering, 1st Edition, 2005
Material Sharing
Documents
 
Assignments
 
Exams
 
Additional Material
 
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
Work Placements
As with any other educational component, credits for work placements are only awarded when the learning outcomes have been achieved and assessed. If a work placement is part of organised mobility (such as Farabi and Erasmus), the Learning Agreement for the placement should indicate the number of credits to be awarded if the expected learning outcomes are achieved.
Program Learning Outcomes
No
Course's Contribution to Program
Contribution
Course Content