| Industrial and Systems Engineering (English) | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code: | ISE026 | ||||
| Course Name: | Applied Statistics and Data Analysis | ||||
| Semester: | Spring | ||||
| Course Credits: |
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| Language of instruction: | English | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Departmental Elective | ||||
| Course Level: |
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| Mode of Delivery: | Face to face | ||||
| Course Coordinator: | Prof. Dr. ALİREZA AMİRTEİMOORİ | ||||
| Course Lecturer(s): | Dr. Öğr. Üy. EMRE ÇAKMAK | ||||
| Course Assistants: |
| Course Objectives: | The course aims to provide students with the ability to solve problems related to data analysis that arise in various fields in real life, by using statistical techniques, as well as teaching basic statistical concepts. |
| Course Content: | Introduction to Scientific Evidence and Statistics, Measures of central tendency and the normal distribution, Probability, Discrete random variables and probability distributions, Estimation of mean and standard deviation and the normal distribution, Hypothesis testing for one or two population means, Student t-test, Analysis of Variance and multiple comparison tests, Simple linear regression |
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The students who have succeeded in this course;
1) Should know basic statistical concepts such as mean, variable, standard deviation. 2) Must have sufficient knowledge about basic probability issues such as random variables and probability distributions. 3) Should be able to use statistical methods such as hypothesis testing, analysis of variance and linear regression. 4) Should be able to apply statistical methods such as hypothesis testing, analysis of variance and linear regression to data in different fields. |
| Week | Subject | Related Preparation |
| 1) | Introduction to Scientific Evidence and Statistics | |
| 2) | Measures of central tendency and the normal distribution | |
| 3) | Probability | |
| 4) | Discrete random variables and probability distributions | |
| 5) | Discrete random variables and probability distributions | |
| 6) | Estimation of mean and standard deviation and the normal distribution | |
| 7) | Hypothesis testing for one or two population means, Student t-test | |
| 8) | Midterm exam | |
| 9) | Hypothesis testing for one or two population means, Student t-test | |
| 10) | Hypothesis testing for small sample sizes and multinomial experiments, Fisher’s exact test | |
| 11) | Analysis of Variance and multiple comparison tests | |
| 12) | Analysis of Variance and multiple comparison tests | |
| 13) | Simple linear regression | |
| 14) | Simple linear regression | |
| 15) | Final Exam | |
| 16) | Final Exam |
| Course Notes / Textbooks: | Mann, P. S. (2007). Introductory statistics. John Wiley & Sons. |
| References: | Devore, J. L., Farnum, N. R., & Doi, J. A. (2013). Applied statistics for engineers and scientists. Cengage Learning. |
| Course Learning Outcomes | 1 |
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| Program Outcomes | ||||||||||||
| 1) Acquires sufficient accumulation of knowledge in natural and applied sciences, engineering and technology, and has the ability to design, and identify/formulate/solve problems related to, complex manufacturing and service systems using this knowledge. | ||||||||||||
| 2) Possesses the ability to select and apply appropriate methods for analysing integrated systems comprising humans, knowledge, raw materials and energy; to acquire, process and interpret data; and to reach conclusions using her/his engineering skills. | ||||||||||||
| 3) Has the ability to select and efficiently use engineering design principles along with appropriate analytical, computational and experimental engineering techniques in order to optimize outputs related to various systems under realistic constraints. | ||||||||||||
| 4) Possesses the skills to select from among and efficiently use modern technologies, equipment, software and software languages in applications related to her/his respective field. | ||||||||||||
| 5) Possesses the ability to produce industry-focused solutions that are able to contribute to social health, safety and welfare, while being cognizant of global, cultural, societal, economical and environmental matters. | ||||||||||||
| 6) Has the awareness to take decisions ethically, professionally and without overlooking her/his legal responsibilities in situations related to her/his professions. | ||||||||||||
| 7) Has the awareness about contemporary issues such as sustainability, entrepreneurship and innovation; and the ability to comprehend the impacts of these notions on her/his profession. | ||||||||||||
| 8) Has the skills to communicate and make presentations to a level that will allow her/him to effectively make an exchange of information and experience both verbally and in written and with various communities related to her/his area. | ||||||||||||
| 9) Is able to use a foreign language at least at B1 level, measured in terms of the European Language Portfolio criterion. | ||||||||||||
| 10) In cognizance of life-long learning, possesses the ability to follow and adapt to changes that may arise in her/his field and reflect them into her/his profession. | ||||||||||||
| 11) Has the ability to work efficiently in interdisciplinary projects, be open to collaboration and take initiative when necessary, manage risks, plan activities and develop strategies. | ||||||||||||
| 12) She has the ability to follow new approaches in the field of human-machine interaction and artificial intelligence and apply them to problems in her field. | ||||||||||||
| No Effect | 1 Lowest | 2 Average | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Acquires sufficient accumulation of knowledge in natural and applied sciences, engineering and technology, and has the ability to design, and identify/formulate/solve problems related to, complex manufacturing and service systems using this knowledge. | |
| 2) | Possesses the ability to select and apply appropriate methods for analysing integrated systems comprising humans, knowledge, raw materials and energy; to acquire, process and interpret data; and to reach conclusions using her/his engineering skills. | |
| 3) | Has the ability to select and efficiently use engineering design principles along with appropriate analytical, computational and experimental engineering techniques in order to optimize outputs related to various systems under realistic constraints. | |
| 4) | Possesses the skills to select from among and efficiently use modern technologies, equipment, software and software languages in applications related to her/his respective field. | |
| 5) | Possesses the ability to produce industry-focused solutions that are able to contribute to social health, safety and welfare, while being cognizant of global, cultural, societal, economical and environmental matters. | |
| 6) | Has the awareness to take decisions ethically, professionally and without overlooking her/his legal responsibilities in situations related to her/his professions. | |
| 7) | Has the awareness about contemporary issues such as sustainability, entrepreneurship and innovation; and the ability to comprehend the impacts of these notions on her/his profession. | |
| 8) | Has the skills to communicate and make presentations to a level that will allow her/him to effectively make an exchange of information and experience both verbally and in written and with various communities related to her/his area. | |
| 9) | Is able to use a foreign language at least at B1 level, measured in terms of the European Language Portfolio criterion. | |
| 10) | In cognizance of life-long learning, possesses the ability to follow and adapt to changes that may arise in her/his field and reflect them into her/his profession. | |
| 11) | Has the ability to work efficiently in interdisciplinary projects, be open to collaboration and take initiative when necessary, manage risks, plan activities and develop strategies. | |
| 12) | She has the ability to follow new approaches in the field of human-machine interaction and artificial intelligence and apply them to problems in her field. |
| Semester Requirements | Number of Activities | Level of Contribution |
| Homework Assignments | 4 | % 20 |
| Midterms | 1 | % 30 |
| Final | 1 | % 50 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 50 | |
| PERCENTAGE OF FINAL WORK | % 50 | |
| total | % 100 | |
| Activities | Number of Activities | Preparation for the Activity | Spent for the Activity Itself | Completing the Activity Requirements | Workload | ||
| Course Hours | 13 | 0 | 3 | 39 | |||
| Study Hours Out of Class | 13 | 0 | 1 | 13 | |||
| Homework Assignments | 4 | 0 | 10 | 40 | |||
| Midterms | 1 | 8 | 2 | 10 | |||
| Final | 1 | 18 | 2 | 20 | |||
| Total Workload | 122 | ||||||