Information
Unit | FACULTY OF ENGINEERING |
INDUSTRIAL ENGINEERING PR. | |
Code | ENM248 |
Name | Statistical Research Methods |
Term | 2025-2026 Academic Year |
Semester | 4. Semester |
Duration (T+A) | 3-0 (T-A) (17 Week) |
ECTS | 4 ECTS |
National Credit | 3 National Credit |
Teaching Language | Türkçe |
Level | Lisans Dersi |
Type | Normal |
Label | E Elective |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | Doç. Dr. EBRU YILMAZ |
Course Instructor |
The current term course schedule has not been prepared yet. Previous term groups and teaching staff are shown.
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Course Goal / Objective
The aim of this course is to give basic statistical research methods used in some researches and studies.
Course Content
Statistical applications in engineering, Data collection, Measures of central tendency, Arithmetic mean, Effect of outliers, Median, Mode, Comparison of mean, median and mode, Geometric mean, Harmonic mean, Calculation of variance and standard deviation, Variation coefficient, Some probability distributions, Branch-leaf representation, Box plots, Some properties of sample mean and variance, Point estimation, Confidence intervals, Interval estimate on population mean with known variance, Interval estimate on population mean when variance is unknown, Interval estimate on the difference in means of two normally distributed populations, Interval estimate for measurement pairs, Hypothesis testing, Hypothesis testing on the mean of a normally distributed population with known variance, Hypothesis testing on the mean of a normally distributed population with unknown variance, Hypothesis testing on the difference in means of two normally distributed populations, Experimental design, Analysis of variance, Regression modeling.
Course Precondition
None
Resources
1. Akdeniz, F. (1996). Olasılık ve İstatistik, Genişletilmiş Baskı, Baki Kitabevi, Adana, 700 sayfa. 2. Montgomery, D. C., Runger, G. C., and Hubele, N. F. (2011). Engineering Statistics, Fifth Edition, e-book, John Wiley & Sons, Inc., USA, 522 pages.
Notes
1. Akdeniz, F. (1996). Olasılık ve İstatistik, Genişletilmiş Baskı, Baki Kitabevi, Adana, 700 sayfa. 2. Montgomery, D. C., Runger, G. C., and Hubele, N. F. (2011). Engineering Statistics, Fifth Edition, e-book, John Wiley & Sons, Inc., USA, 522 pages.
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Explains various concepts such as mean, median, mode, variance, standard deviation. |
LO02 | Calculates confidence intervals for statistical problems. |
LO03 | Sets up hypothesis tests on statistical problems. |
LO04 | Explains the importance of experimental design for statistical applications. |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | Acquires sufficient knowledge in mathematics, science and Industrial Engineering discipline-specific subjects; acquires the ability to use theoretical and applied knowledge in these fields in complex engineering problems. | 5 |
PLO02 | Bilgi - Kuramsal, Olgusal | Acquires the ability to identify, define, formulate and analytically solve complex Industrial Engineering problems; and has the ability to select and apply appropriate analysis and modelling methods for this purpose. | 3 |
PLO03 | Bilgi - Kuramsal, Olgusal | Acquires the ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; acquires the ability to apply modern design methods for this purpose. | |
PLO04 | Bilgi - Kuramsal, Olgusal | Acquires the ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Industrial Engineering applications and acquires the ability to use information technologies effectively. | |
PLO05 | Bilgi - Kuramsal, Olgusal | Acquire the skills to design and conduct experiments, collect data, analyze and interpret results to investigate complex Industrial Engineering problems or discipline-specific research topics. | 3 |
PLO06 | Bilgi - Kuramsal, Olgusal | Have the ability to work effectively in disciplinary and multi-disciplinary teams or individually. | |
PLO07 | Beceriler - Bilişsel, Uygulamalı | Ability to communicate effectively in Turkish, both verbally and in writing; knowledge of at least one foreign language; ability to write and understand effective reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions. | |
PLO08 | Beceriler - Bilişsel, Uygulamalı | They have awareness of the necessity of lifelong learning; they have the ability to access information, follow developments in science and technology, and constantly renew themselves. | |
PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Acting in accordance with ethical principles, becoming knowledgeable about the standards used in engineering practices with awareness of professional and ethical responsibility. | |
PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Learn about business practices such as project management, risk management and change management, and is aware of entrepreneurship and innovation. | |
PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Informed about the universal and societal impacts of engineering practices on health, environment and safety, and the contemporary problems reflected in the field of engineering, and is aware of the legal consequences of engineering solutions. | |
PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Benefit from the power of effective communication in professional life and has the ability to interpret developments correctly. | |
PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Have the ability to design, develop, implement and improve integrated systems that include machines, people, time, information or money. | |
PLO14 | Yetkinlikler - Öğrenme Yetkinliği | By applying modern design methods, they have the ability to design, develop, implement and improve complex products, processes, businesses and systems under realistic conditions and constraints such as cost, environment, sustainable development, energy, manufacturability, ethics, health, safety and political issues. |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | Statistical applications in engineering, Data collection | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma |
2 | Measures of central tendency, Arithmetic mean, Effect of outliers, Median, Mode, Comparison of mean, median and mode, Geometric mean, Harmonic mean | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
3 | Calculation of variance and standard deviation, Variation coefficient, Some probability distributions | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
4 | Branch-leaf representation, Box plots | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
5 | Some properties of sample mean and variance, Point estimation | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
6 | Confidence intervals, Interval estimate on population mean with known variance | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
7 | Confidence intervals, Interval estimate on population mean when variance is unknown | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
8 | Mid-Term Exam | The preparation for the mid-term exam | Ölçme Yöntemleri: Yazılı Sınav |
9 | Confidence intervals, Interval estimate on the difference in means of two normally distributed populations | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
10 | Confidence intervals, Interval estimate on the difference in means of two normally distributed populations, Interval estimate for measurement pairs | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
11 | Hypothesis testing, Hypothesis testing on the mean of a normally distributed population with known variance | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
12 | Hypothesis testing on the mean of a normally distributed population with unknown variance | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
13 | Hypothesis testing on the difference in means of two normally distributed populations | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
14 | Experimental design | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma |
15 | Analysis of variance, Regression modeling | Reading the resources related to the section | Öğretim Yöntemleri: Anlatım, Tartışma |
16 | Term Exam | The preparation for the final exam | Ölçme Yöntemleri: Yazılı Sınav |
17 | Term Exam | The preparation for the final exam | Ölçme Yöntemleri: Yazılı Sınav |
Assessment (Exam) Methods and Criteria
Current term shares have not yet been determined. Shares of the previous term are shown.
Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
---|---|---|
1. Midterm Exam | 100 | 40 |
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 | 0 | 0 | 0 |
Mid-term Exams (Written, Oral, etc.) | 1 | 7 | 7 |
Final Exam | 1 | 18 | 18 |
Total Workload (Hour) | 109 | ||
Total Workload / 25 (h) | 4,36 | ||
ECTS | 4 ECTS |