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| Course Description |
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| Course Name |
: |
Statistical Methods in Engineering |
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| Course Code |
: |
TL-551 |
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| Course Type |
: |
Optional |
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| Level of Course |
: |
Second Cycle |
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| Year of Study |
: |
1 |
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| Course Semester |
: |
Fall (16 Weeks) |
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| ECTS |
: |
5 |
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| Name of Lecturer(s) |
: |
Assoc.Prof.Dr. BELKIS ZERVENT ÜNAL
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| Learning Outcomes of the Course |
: |
Has statistical knowledge to conduct his/her studies
Can apply selected statistical methods with the help of package programs
Interprets the statistical analysis applied
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|
| Mode of Delivery |
: |
Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
None |
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| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
: |
It is aimed to select and to apply the statistical methods for the data obtained with experimental studies |
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| Course Contents |
: |
The importance of statistical methods in engineering applications. Frequency distributions, measures of central tendency and dispersion, the concepts of median and mode, standard deviation. Types of continuous and discontinuous distribution. Creating chart. Parametric tests, non-parametric tests. The normal distribution test, randomness test, analysis of variance. t-test, regression analysis, correlation analysis, curve estimation. Textile applications of statistical methods with the help of computer-aided statistical package program (SPSS). Optimization techniques, mathematical modeling. The use of optimization package program (LINGO). Practices with the sample data sets. |
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| Language of Instruction |
: |
Turkish |
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| Work Place |
: |
Textile Engineering Department Clasrooms |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
The importance of statistical methods in engineering applications |
Reference Books |
Lecture and practice |
|
2 |
Frequency distributions, measures of central tendency and dispersion, the concepts of median and mode, standard deviation. |
Implementation of the gained theoretical knowledges with software |
Lecture and practice |
|
3 |
Types of continuous and discontinuous distribution. Creating chart. |
Implementation of the gained theoretical knowledges with software |
Lecture and practice |
|
4 |
Parametric tests, non parametric tests. |
Implementation of the gained theoretical knowledges with software |
Lecture and practice |
|
5 |
The normal distribution test, randomness test, analysis of variance |
Implementation of the gained theoretical knowledges with software |
Lecture and practice |
|
6 |
Practice with the sample data sets. |
Implementation of the gained theoretical knowledges with software |
Practice |
|
7 |
t-test, regression analysis, correlation analysis, curve estimation. |
Implementation of the gained theoretical knowledges with software |
Lecture and practice |
|
8 |
Mid-term exam |
Implementation of the gained theoretical knowledges with software |
Written examination |
|
9 |
Practice with the sample data sets |
Implementation of the gained theoretical knowledges with software |
Practice |
|
10 |
Textile applications of statistical methods with the help of computer-aided statistical package programme (SPSS) |
Implementation of the gained theoretical knowledges with software |
Practice |
|
11 |
Textile applications of statistical methods with the help of computer-aided statistical package programme (SPSS) |
Implementation of the gained theoretical knowledges with software |
Practice |
|
12 |
Optimization techniques, mathematical modeling. |
Implementation of the gained theoretical knowledges with software |
Lecture and practice |
|
13 |
The use of optimization package program (LINGO). |
Implementation of the gained theoretical knowledges with software |
Lecture and practice |
|
14 |
Textile applications with the help of optimization package program (LINGO) |
Implementation of the gained theoretical knowledges with software |
Practice |
|
15 |
General Revision |
Implementation of the gained theoretical knowledges with software |
Practice |
|
16/17 |
Final exam |
Implementation of the gained theoretical knowledges with software |
Written examination |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 URAL, A., Kılıç, İ., 2005, Scientific Research Process and Data Analysis with SPSS, Detay Publisher, Ankara.
KINNEAR, P.R., GRAY C.D., 1995, SPSS for Windows Made Simple, Lawrence Erlbaum Associates, Publishers, USA
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| |
| Required Course Material(s) | |
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
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Mid-term Exams (Written, Oral, etc.) |
1 |
50 |
|
Homeworks/Projects/Others |
1 |
50 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
| |
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Final Assessments
|
100 |
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Rate of Final Assessments to Success
|
60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
Graduates have the undergraduate qualifications of Textile Engineering. |
2 |
|
2 |
They can develop their academic knowledge up to the level of expertise in the same or different fields. |
1 |
|
3 |
They can comprehend the interdisciplinary interaction related to the field. |
4 |
|
4 |
Graduates are able to use theoretical and practical knowledge acquired in the level of expertise in the field of Textile Engineering. |
2 |
|
5 |
Graduates can integrate the information from various disciplines. |
4 |
|
6 |
Graduates can solve the problems that require expertise using scientific research methods. |
2 |
|
7 |
They can solve a problem in the field of Textile Engineering, evaluate the results and implement these results. |
5 |
|
8 |
Graduates are deteremined about the recognition of the need of lifelong learning, they can follow developments in science and technology and they update themselves continuosly. |
2 |
|
9 |
They can transfer the current developments and their studies in the field to inside and outside groups by writing, by speech and/or by using visual aids. |
0 |
|
10 |
Graduates develop implementation plans related to their field and evaluate the results as a part of the quality process. |
0 |
|
11 |
Graduates can conduct the studies related to the field determining the social, scientific and ethical values |
0 |
|
12 |
Graduates can use the acquired knowledge and problem-solving skills in interdisciplinary studies. |
0 |
|
13 |
Graduates develop solutions for complex problems in the field by taking responsibility |
0 |
|
14 |
They can conduct advanced studies independently. |
0 |
|
15 |
Graduates can do a critical evaluation of the information related to the field and can plan the learning process. |
2 |
|
16 |
Graduates can use a foreign language at a certain level both verbal and written. |
0 |
|
17 |
They can use information and communication technologies with computer software as much as field needs. |
5 |
|
18 |
Graduates are sensitive to social events and they have a critical perspective. |
0 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
|
Class Time (Exam weeks are excluded) |
14 |
3 |
42 |
|
Out of Class Study (Preliminary Work, Practice) |
14 |
3 |
42 |
| Assesment Related Works |
|
Homeworks, Projects, Others |
1 |
10 |
10 |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
10 |
10 |
|
Final Exam |
1 |
10 |
10 |
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Total Workload: | 114 |
| Total Workload / 25 (h): | 4.56 |
| ECTS Credit: | 5 |
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