MECHATRONICS ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
ECO2062 | Applied Statistics | Fall |
3 | 0 | 3 | 6 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Hybrid |
Course Coordinator : | Dr. Öğr. Üyesi SERKAN YEŞİLYURT |
Course Lecturer(s): |
Dr. Öğr. Üyesi AYSE ERTUĞRUL BAYKAN Prof. Dr. İPEK ALTINBAŞAK FARİNA |
Recommended Optional Program Components: | None |
Course Objectives: | To apply and interpret the results of a variety of statistical techniques from both descriptive and inferential statistics |
The students who have succeeded in this course; 1. The concept of the sampling distribution and to compute probabilities related to the sample mean and the sample proportion 2. To construct and interpret confidence interval estimates for the mean and the proportion 3. The basic principles of hypothesis testing and how to use hypothesis testing to test a mean or proportion 4. How to use hypothesis testing for comparing the difference between the means and proportion of populations 5. How to use one-way and two-way analysis of variance to test for differences among the means of several populations 6. How and when to use the chi-square test for contingency tables and how to use the chi-square test for a variance or standard deviation 7. How to use regression analysis to investigate the relationship between variables. |
Sampling and Sampling Distributions Sampling Distribution Properties Point and Interval Estimates Confidence Interval for population mean Confidence Intervals for the Population Proportion, π Fundamentals of Hypothesis Testing: One-Sample Tests Hypothesis Testing for Mean and Proportion Two-Sample Tests for Mean Two-Sample Tests for Proportion One-Way Analysis of Variance Two-Way Analysis of Variance Chi-Square Tests and Nonparametric Tests Introduction to Simple Linear Regression |
Week | Subject | Related Preparation |
1) | Sampling and Sampling Distributions | |
2) | Point and Interval Estimates | |
3) | Sampling Distribution Properties | |
4) | Confidence Interval for population mean | |
5) | Confidence Intervals for the Population Proportion, π | |
6) | Fundamentals of Hypothesis Testing: One-Sample Tests | |
7) | Hypothesis Testing for Mean and Proportion | |
8) | Review | |
9) | Two-Sample Tests for Mean | |
10) | Two-Sample Tests for Proportion | |
11) | Analysis of Variance | |
12) | Chi-Square Tests and Nonparametric Tests | |
13) | Introduction to Simple Linear Regression | |
14) | Review |
Course Notes / Textbooks: | Basic Business Statistics Concepts and Applications Mark L. Brenson, David M. Levine, Timothy C. Krehbiel, Pearson Education Prentice Hal. |
References: | . |
Semester Requirements | Number of Activities | Level of Contribution |
Homework Assignments | 4 | % 20 |
Midterms | 1 | % 35 |
Final | 1 | % 45 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 55 | |
PERCENTAGE OF FINAL WORK | % 45 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 16 | 3 | 48 |
Study Hours Out of Class | 14 | 7 | 98 |
Midterms | 1 | 2 | 2 |
Final | 1 | 2 | 2 |
Total Workload | 150 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Build up a body of knowledge in mathematics, science and Mechatronics Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. | |
2) | Identify, formulate, and solve complex Mechatronics Engineering problems; select and apply proper modeling and analysis methods for this purpose. | |
3) | Design complex Mechatronic systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. | |
4) | Devise, select, and use modern techniques and tools needed for solving complex problems in Mechatronics Engineering practice; employ information technologies effectively. | |
5) | Design and conduct numerical or pysical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Mechatronics Engineering. | |
6) | Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Mechatronics-related problems. | |
7) | Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions. | |
8) | Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself. | |
9) | Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Mechatronics Engineering applications. | |
10) | Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. | |
11) | Acquire knowledge about the effects of practices of Mechatronics Engineering on health, environment, security in universal and social scope, and the contemporary problems of Mechatronics engineering; is aware of the legal consequences of Mechatronics engineering solutions. |