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 | ||