ISEN 2610 - Engineering Statistics
Fall 2026 Syllabus, Section 01, CRN 43183,
Credit hours: 3
Course Meeting Times
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Instructor
Seok Gi Lee
Email: slee10@ysu.edu
Course Description
2610. Engineering Statistics. Applications of data collection and analysis techniques to engineering problems. Techniques for data structuring, data modeling, parameter estimation, and design of experiments utilizing engineering data. Prereq.:C or better in one of MATH 1570 or MATH 1571 or MATH 1571H or MATH 1585H, C or better in either ENGR 1550 or ENGR 1550H. 3 s.h.
Course Readings
| Group | Title | Author | ISBN |
|---|---|---|---|
| Optional | An Introduction to Statistical Methods and Data Analysis | R. Lyman Ott and Michael Longnecker | 1305269470 |
| Optional | Engineering Statistics | Montgomery, Runger, Hubele | 0470631473 |
All course content will be summarized in PowerPoint slides and uploaded to Blackboard.
The course readings are subject to change in the event of extenuating circumstances, research developments, current events, and/or to ensure better learning.
Assignments/Assessments
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Course schedule (subject to change depending on the progress of the lecture)
| Week of | Proposed Topic | Due/To Prepare for Class |
|---|---|---|
| 8/24 | Probability concept Computing probability |
|
| 8/31 | Random variables - discrete Bayes rule |
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| 9/7 | Random variables – continuous Jointly distributed random variables |
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| 9/14 | Data description – measures of central tendency Data description – measures of variability |
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| 9/21 | Box plots | |
| 9/28 | Sample distribution of the mean Central limit theorem |
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| 10/5 | Introduction to inferences Confidence interval for the binomial parameter |
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| 10/12 | Inference for the population mean t-distribution Confidence interval for population mean |
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| 10/19 | Null and alternative hypothesis Choosing the hypothesis |
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| 10/26 | The nature of hypothesis testing | |
| 11/2 | Introduction to comparing two population means Comparing two population means: paired data Comparing two population means: independent samples |
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| 11/9 | Comparing two population proportions with independent samples | |
| 11/16 | Contingency tables and Chi-square test of independence | |
| 11/23 | Simple Linear Regression Thanksgiving holiday |
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| 11/30 | Correlation coefficient and coefficient determination Simple linear regression for forecasting |
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| 12/7 | Review materials |
The course schedule, policies, procedures, and assignments in this course are subject to change in the event of extenuating circumstances, by mutual agreement, and/or to ensure better learning.