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Information
| Unit | FACULTY OF ENGINEERING |
| CIVIL ENGINEERING PR. | |
| Code | IMZ219 |
| Name | Statistical Methods in Engineering |
| Term | 2017-2018 Academic Year |
| Semester | 3. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. RECEP YURTAL |
| Course Instructor |
Prof. Dr. RECEP YURTAL
(Güz)
(A Group)
(Ins. in Charge)
Prof. Dr. RECEP YURTAL (Güz) (B Group) (Ins. in Charge) |
Course Goal / Objective
To teach the basic principles of the statistics and probability in Engineering
Course Content
Introduction, Frequency Analysis, Probability, Probability Distributions, Sampling Distribution, Hypothesis Tests, Correlation and Regression
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learn the definition of statistics, its importance and engineering applications. |
| LO02 | Learn basic concepts Statistics and Probability |
| LO03 | Learn Probability Distributions and applications. |
| LO04 | Learn Sampling Distributions Hypothesis Tests and apply them to Engineering problems. |
| LO05 | Learn the basics of correlation and regression analysis |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Has the basic knowledge of math, science and civil engineering | 1 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Has a good commman of basic concepts, theories and principles in civil engineering. | 2 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Independently reviews and learns the applications, makes a critical assessment of the problems faced with, selects the proper technique to formulate problems and propose solutions | 3 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Designs a system, a component or a process in order to meet the needs of various engineering problems within technical, economic, environmental, manufacturability, sustainability limitations. | 4 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Selects and uses the modern techniques and tools necessary for engineering practice | 5 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Designs and carries out experiments in the fields of civil engineering, and interprets the results and the data obtained from the experiments | |
| PLO07 | Bilgi - Kuramsal, Olgusal | Gains the abiltiy to work effectively as a member in interdisciplinary teams | |
| PLO08 | Bilgi - Kuramsal, Olgusal | Identifies proper sources of information and databases, reaches them and uses them efficiently. | |
| PLO09 | Bilgi - Kuramsal, Olgusal | Follows the advancements in science and technology being aware of the necessity of lifelong learning and continuously improves her/himself. | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Uses the computers and information technologies related with civil engineering actively. | |
| PLO11 | Bilgi - Kuramsal, Olgusal | Gains the ability to communicate effectively both orally and in writing. | |
| PLO12 | Bilgi - Kuramsal, Olgusal | Communicates using technical drawing | |
| PLO13 | Bilgi - Kuramsal, Olgusal | Constantly improves her/himself by identifying the training needs in scientific, cultural, artistic and social fields. | |
| PLO14 | Bilgi - Kuramsal, Olgusal | Continuously improves her/himself by defining necessities in learning in scientific, social, cultural and artistic areas besides the occupational requirements. | |
| PLO15 | Bilgi - Kuramsal, Olgusal | Has an understanding of entrepreneurship and innovation subjects, and is knowledgeable of contemporary issues. | |
| PLO16 | Bilgi - Kuramsal, Olgusal | Has an awareness of professional and ethical responsibility | |
| PLO17 | Bilgi - Kuramsal, Olgusal | Has the required knowledge in project management, workplace practices, employee health, environmental and occupational safety; and the legal implications of engineering applications. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction | none | |
| 2 | Basic Concepts and definitions | Repeat the previous lesson | |
| 3 | Probability and Distribıtions | Repeat the previous lesson | |
| 4 | Ferquence Analysis | Repeat the previous lesson | |
| 5 | Parameter Estimation | Repeat the previous lesson | |
| 6 | Important Probability Dsitributions | Repeat the previous lesson | |
| 7 | Extreme Value Distributions | Repeat the previous lesson | |
| 8 | Mid-Term Exam | None | |
| 9 | Extreme Value Distribution and applications | Repeat the previous lesson | |
| 10 | Sampling Distribution | Repeat the previous lesson | |
| 11 | Statistical Hypotesis Testing | Repeat the previous lesson | |
| 12 | Regression Analysis | Repeat the previous lesson | |
| 13 | Variance Analysis | Repeat the previous lesson | |
| 14 | Computer Applications | Repeat the previous lesson | |
| 15 | Computer Applications | Repeat the previous lesson | |
| 16 | Term Exams | None | |
| 17 | Term Exams | None |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 85 | 34 |
| 1. Short Exam | 15 | 6 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
Student Workload - ECTS
| Works | Number | Time (Hour) | 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 | 4 | 4 | 16 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 130 | ||
| Total Workload / 25 (h) | 5,20 | ||
| ECTS | 5 ECTS | ||