ENM248 Statistical Research Methods

4 ECTS - 3-0 Duration (T+A)- 4. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
INDUSTRIAL ENGINEERING PR.
Code ENM248
Name Statistical Research Methods
Term 2020-2021 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 Uzaktan Öğretim
Catalog Information Coordinator Doç. Dr. EBRU YILMAZ
Course Instructor Doç. Dr. EBRU YILMAZ (Bahar) (A Group) (Ins. in Charge)


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 and analysis methods, Probability distributions, Confidence intervals, Hypothesis tests, Experimental design, Analysis of variance, Regression modeling.

Course Precondition

Yok

Resources

Notes

1. MONTGOMERY, D.C., RUNGER, G.C., and HUBELE, N.F., 2011, Engineering Statistics (Fifth Edition), John Wiley & Sons, Inc.2. AKDENİZ, F., 1996, Olasılık ve İstatistik, Genişletilmiş Baskı, Baki Kitabevi, Adana, 700 sayfa


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains the importance of statistical applications in engineering.
LO02 Identifies data collection and analysis methods for a statistical application.
LO03 Explains confidence interval concept.
LO04 Calculates confidence intervals for statistical problems.
LO05 Explains hypothesis test concept.
LO06 Sets up hypothesis tests on statistical problems.
LO07 Makes a conclusion after seting up hypothesis tests on statistical problems.
LO08 Explains the importance of experimental design for statistical applications.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Adequate knowledge in mathematics, science and related engineering discipline; ability to use theoretical and practical knowledge in these areas in complex engineering problems. 5
PLO02 - An ability to identify, formulate, and solve complex industrial engineering problems; the ability to select and apply appropriate analysis and modeling methods for this purpose. 4
PLO03 - An ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; the ability to apply modern design methods for this purpose. 3
PLO04 - Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively. 3
PLO05 - Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or discipline-specific research topics. 3
PLO06 - Ability to work effectively in disciplinary and multidisciplinary teams; self-study skills. 3
PLO07 - Ability to communicate effectively in Turkish presentation and in writing; knowledge of at least one foreign language; Ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instruction and receiving skills. 3
PLO08 - Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself. 3
PLO09 - To act in accordance with ethical principles, professional and ethical responsibility awareness; information about standards used in engineering applications. 5
PLO10 - Information on business practices such as project management, risk management and change management; awareness about entrepreneurship and innovation; information on sustainable development. 3
PLO11 - Information about the effects of engineering applications on health, environment and safety in universal and social dimensions and the problems reflected in the engineering field of the age; awareness of the legal consequences of engineering solutions. 3
PLO12 - Ability to make use of the power of effective communication in professional life, to interpret the developments correctly and to make decisions. 3
PLO13 - Ability to design, develop, implement and improve integrated systems including machinery, time, information and money. 2
PLO14 - Ability to design, develop, implement and improve complex product, process, business, system design by applying modern design methods under realistic conditions and constraints such as cost, environment, sustainability, productivity, ethics, health, safety and political issues. 3


Week Plan

Week Topic Preparation Methods
1 Statistical applications in engineering Reading the resources related to the section
2 Data collection and analysis methods Reading the resources related to the section
3 Data collection and analysis methods Reading the resources related to the section
4 Probability distributions Reading the resources related to the section
5 Probability distributions Reading the resources related to the section
6 Confidence intervals Reading the resources related to the section
7 Confidence intervals Reading the resources related to the section
8 Mid-Term Exam The preparation for the mid-term exam
9 Hypothesis tests Reading the resources related to the section
10 Hypothesis tests Reading the resources related to the section
11 Experimental design Reading the resources related to the section
12 Experimental design Reading the resources related to the section
13 Analysis of variance Reading the resources related to the section
14 Analysis of variance Reading the resources related to the section
15 Regression modeling Reading the resources related to the section
16 Term Exams The preparation for the final exam
17 Term Exams The preparation for the final exam


Assessment (Exam) Methods and Criteria

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

Update Time: 06.05.2025 11:28