Course Code:                               : 5103125

 Course Name                                :  Data Analysis and Processing Methods in Engineering

  Instructor                                      :  Assos. Dr. Hüsamettin BULUT

  Theoretical /  Practical / Credit : 3 / 0 / 3

 Learning Activity

Estimated Time(Hour)

Evaluation

Theoretical Course (14 Week)0

3 x 14 = 42

Participation to class

Guided Problem Solving

None

 

Individual Study

3 x 14 = 42

 

Weekly homework problems solving

1 x 14 = 14

Individual or teamwork and report preparation for homework’s.

Term project

None

 

Midterm Exam

4 x 2 = 8

Open/ Closed exam

Final Exam

Exam                  : 2

Individual work    : 8

Open/ Closed exam

Quiz (4 piece)

Individual work    : 8

Open/ Closed exam

Research (internet/library)

 

 

Other(………………………. )

 

 

Total Course Load (Hours)

124

 

 

 

 

HARRAN UNİVERSITY ENGINEERING FACULTY

MECHANICAL ENGI0NEERING DEPARTMENT

           

Course Name

Code

Semester

T+U

Credit

AKTS

 

Data Analysis and Processing Methods in Engineering

5103125

Fall

3+0

3

5

 

Prerequisite Courses

None

Language of Course

Turkish

Course class

Elective

Coordinator of Course

Assos. Dr. Hüsamettin BULUT

Instructor

Assos. Dr. Hüsamettin BULUT

Course Assistant

-

Objective of course

Engineering applications of data processing, analysis and the efficient use of databases and the programs that teach about the fundamentals.

Course Learning Output

Data processing, analysis make, using the database programs, present and interpret the data.

Course Contents

Basic information about the data processing, engineering and business life of the importance of databases, data processing and analysis about the package programs in engineering and mechanical engineering related to the sample practices

 

Weeks

Plan of Course at Semester

1

Basic information about the data processing

2

Basic information about the data processing

3

The importance of databases in engineering and business life of

4

Data processing and analysis of engineering related software packages: Curve Fit, Orgie, Matlab, Minitab, Excel, data analysis

5

Sample practices of Mechanical Engineering

6

Presentation of the data, graphics and diagrams, and applications

7

EXAM

8

Equation fitting techniques

9

Equation fitting techniques: Practice

10

Statistical parameters

11

Correct and incorrect data, extracting

12

Statistical tests

13

Issues related to various engineering problem solving and practices

14

FINAL

 

General Sufficiency

Data processing and analysis to know the basics, the program use the package, provide and interpret the data.

 

References

1.   Paket programların yardım dosyaları. CurveFit, Orgin, Matlab, Minitab.

2.   Daniel C, Wood FS, Gorman JW. 1971. Fitting Equations to Data. John Wiley & Sons Inc.: USA.

3.   Engineering Statistics Handbook, http://www.itl.nist.gov/div898/handbook.

4.   Data Analysis and Presentation Skills, J. Willis, JohnWiley&Sons Ltd, Ltd., 2004.

5.   Ders Notları, Hüsamettin Bulut

Form of Assessment

Mid Exam and Task/Project Average of Arithmetical: %40

Final:%60

Projects:-

Homework: Will be announced on the web