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Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| ENGINEERING AND TECHNOLOGY MANAGEMENT (MASTER) (WITHOUT THESIS) (INTERDISCIPLINA | |
| Code | MTY501 |
| Name | Applied Statistics for Engineering |
| Term | 2020-2021 Academic Year |
| Term | Fall |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Uzaktan Öğretim |
| Catalog Information Coordinator | Prof. Dr. RIZVAN EROL |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The overall objective of this course is to study statistical methods used to analyze the data collected to solve engineering problems and apply these methods on statistical software.
Course Content
Basic statistical concepts for engineers, normal distribution, hypothesis tests, sampling methods, statistical analysis of performance data of firms, usage of statistical software, experimental design for product and process design, Taguchi methods for quality engineering.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Understands and applies statistical design principles in engineering studies. |
| LO02 | Selects an appropriate statistical analysis method for the objective and scope of an engineering study. |
| LO03 | Performs basic statistical analysis using a computer software. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Understands, evaluates, interprets and applies knowledge in depth in the field of engineering and technology management, doing scientific research. | 4 |
| PLO02 | - | Has comprehensive knowledge about current methods and techniques of engineering and technology management and its limitations. | 4 |
| PLO03 | - | Has the ability of describing and applying knowledge despite limited or missing data; integrates knowledge from different disciplines into the present knowledge. | 5 |
| PLO04 | - | Designs engineering problems, develops techniques to solve them, using innovative ways. | 4 |
| PLO05 | - | Has the ability of designing and applying research based on analytical, modelling and experimental approaches and has the ability to solve problems encountered while conducting such research. | 5 |
| PLO06 | - | Works in multi-disciplinary teams, takes a leading role and responsibility and develops approaches for complicated solutions. | 2 |
| PLO07 | - | Describes, gathers and uses necessary information and data. | 4 |
| PLO08 | - | Keeps up with the latest developments in the field, examines and learns them when necessary. | 3 |
| PLO09 | - | Has the ability of developing new and/or original ideas or techniques, comes up with innovative solutions for designing systems, components or processes. | 4 |
| PLO10 | - | Presents research findings systematically and clearly in oral or written forms in national or international meetings. | 3 |
| PLO11 | - | Understands social and environmental implications of engineering practice. | 3 |
| PLO12 | - | Considers social, scientific and ethical values in all professional activities and while collecting and analysing data and discussing the findings. | 5 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Statistics and probability in engineering, descriptive statistics | reading related textbook chapter | |
| 2 | Basic concepts of probability | reading related textbook chapter | |
| 3 | Basic concepts of statistics | reading related textbook chapter | |
| 4 | Basic sampling distributions | reading related textbook chapter | |
| 5 | Graphical analysis of data | reading related textbook chapter | |
| 6 | Estimators, random sampling and point estimators | reading related textbook chapter | |
| 7 | Interval estimators, population mean and variance estimation | reading related textbook chapter | |
| 8 | Mid-Term Exam | review course material | |
| 9 | Hypothesis tests, basic concepts | reading related textbook chapter | |
| 10 | Well-known hypothesis tests | reading related textbook chapter | |
| 11 | Regression models, model adequacy, multiple regression | reading related textbook chapter | |
| 12 | Regression applications in engineering | reading related textbook chapter | |
| 13 | Experimental designs, analysis of variance | reading related textbook chapter | |
| 14 | Process optimization via staistical models | reading related textbook chapter | |
| 15 | Project presentations | prepare a project presentation | |
| 16 | Term Exams | review course material | |
| 17 | Term Exams | review course material |