IMZ219 Statistical Methods in Engineering

5 ECTS - 3-0 Duration (T+A)- 3. Semester- 3 National Credit

Information

Code IMZ219
Name Statistical Methods in Engineering
Term 2023-2024 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
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. RECEP YURTAL
Course Instructor Prof. Dr. RECEP YURTAL (A 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

None

Resources

Lecture Notes and Presentations

Notes

Statistics: for engineering and the sciences , William Mendenhall, Terry Sincich., Pearson/Prentice Hall, c2007. Probability and statistics for engineers and scientists , Ronald E. Walpole, Pearson/Prentice Hall, c2007. Engineering statistics , Douglas C. Montgomery, George C. Runger, Norma Faris Hubele, John Wiley and Sons, c2004


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 Literature Survey Öğretim Yöntemleri:
Anlatım, Tartışma
2 Basic Concepts and definitions Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
3 Probability and Distribıtions Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
4 Ferquence Analysis Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
5 Parameter Estimation Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Important Probability Dsitributions Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Extreme Value Distributions Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-Term Exam None Ölçme Yöntemleri:
Yazılı Sınav
9 Extreme Value Distribution and applications Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Sampling Distribution Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 Statistical Hypotesis Testing Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Regression Analysis Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 Variance Analysis Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 Computer Applications 1 Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 Computer Applications 2 Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
16 Term Exams None Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams None Ölçme Yöntemleri:
Yazılı Sınav


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

Update Time: 25.05.2023 04:04