Faculty Of Engıneerıng
Electrıcal And Electronıcs Engıneerıng (Englısh)
Course Information
| ENGINEERING STATISTICS |
| Code |
Semester |
Theoretical |
Practice |
National Credit |
ECTS Credit |
| Hour / Week |
| MAT311 |
Fall |
3 |
0 |
3 |
5 |
| Prerequisites and co-requisites |
|
| Language of instruction |
English |
| Type |
Elective |
| Level of Course |
Bachelor's |
| Lecturer |
Asst. Prof. Türker ERTEM |
| Mode of Delivery |
Face to Face |
| Suggested Subject |
|
| Professional practise ( internship ) |
None |
| Objectives of the Course |
Offering Probability and Statistics Basis,
To gain basic knowledge and skills about the use of statistical methods in science and engineering |
| Contents of the Course |
Introduction, Frequency Analysis Probability, Probability Distributions, Sampling Distributions, Hypothesis Testing, Regression Analysis |
Learning Outcomes of Course
| # |
Learning Outcomes |
| 1 |
Analyzing statistical significance in engineering. |
| 2 |
Determine the statistical method appropriate to the situation |
| 3 |
Apply the statistical method determined |
| 4 |
Ability to edit existing data |
Course Syllabus
| # |
Subjects |
Teaching Methods and Technics |
| 1 |
Definition and Development of Statistic, Place and Priority in Civil Engineering |
Lecture |
| 2 |
Basic Concepts and Definitions |
Lecture |
| 3 |
Probability and Distributions |
Lecture |
| 4 |
Frequency Analysis |
Lecture |
| 5 |
Estimation of Parameters |
Lecture |
| 6 |
Important Probability Distribution Functions |
Lecture |
| 7 |
Midterm exam |
|
| 8 |
Extreme Value Distributions |
Lecture |
| 9 |
Extreme Value Distributions and Numerical Applications |
Lecture |
| 10 |
Sampling Distributions |
Lecture |
| 11 |
Control of Statistical Hypotheses |
Lecture |
| 12 |
Regresyon Analizi |
Lecture |
| 13 |
Variance Analysis |
Lecture |
| 14 |
Computer applications |
Lecture |
| 15 |
Computer applications |
Lecture |
| 16 |
Final Exam |
|
Course Syllabus
| # |
Material / Resources |
Information About Resources |
Reference / Recommended Resources |
| 1 |
Mühendisler için İstatistik Mehmetçik Bayazıt, Beyhan Oğuz Birsen Yayınevi |
|
|
Method of Assessment
| # |
Weight |
Work Type |
Work Title |
| 1 |
40% |
Mid-Term Exam |
Mid-Term Exam |
| 2 |
60% |
Final Exam |
Final Exam |
Relationship between Learning Outcomes of Course and Program Outcomes
| # |
Learning Outcomes |
Program Outcomes |
Method of Assessment |
| 1 |
Analyzing statistical significance in engineering. |
1 |
1͵2 |
| 2 |
Determine the statistical method appropriate to the situation |
1 |
1͵2 |
| 3 |
Apply the statistical method determined |
1 |
1͵2 |
| 4 |
Ability to edit existing data |
1 |
1͵2 |
PS. The numbers, which are shown in the column Method of Assessment, presents the methods shown in the previous table, titled as Method of Assessment.
Work Load Details
| # |
Type of Work |
Quantity |
Time (Hour) |
Work Load |
| 1 |
Course Duration |
14 |
3 |
42 |
| 2 |
Course Duration Except Class (Preliminary Study, Enhancement) |
14 |
2 |
28 |
| 3 |
Presentation and Seminar Preparation |
0 |
0 |
0 |
| 4 |
Web Research, Library and Archival Work |
0 |
0 |
0 |
| 5 |
Document/Information Listing |
0 |
0 |
0 |
| 6 |
Workshop |
0 |
0 |
0 |
| 7 |
Preparation for Midterm Exam |
1 |
8 |
8 |
| 8 |
Midterm Exam |
1 |
1 |
1 |
| 9 |
Quiz |
0 |
0 |
0 |
| 10 |
Homework |
0 |
0 |
0 |
| 11 |
Midterm Project |
0 |
0 |
0 |
| 12 |
Midterm Exercise |
0 |
0 |
0 |
| 13 |
Final Project |
0 |
0 |
0 |
| 14 |
Final Exercise |
0 |
0 |
0 |
| 15 |
Preparation for Final Exam |
1 |
10 |
10 |
| 16 |
Final Exam |
1 |
1 |
1 |
| |
90 |
