ISE 315: Engineering Statistics
Instructor: Mansur Maturidi Arief
Department: Industrial and Systems Engineering, College of Computing and Mathematics, KFUPM
Course Description
This course covers statistical methods for engineering applications. Topics include: estimation, confidence intervals, hypothesis testing, comparing two populations, regression, analysis of variance (ANOVA), and design of experiments (DOE). Students will develop skills in applying statistical techniques to real-world engineering problems using appropriate software tools.
Course Objectives
Upon completion of this course, students will be able to:
- Calculate point and interval estimates for means, variances, and proportions using real engineering data.
- Conduct hypothesis tests (one-sample and two-sample) for means, variances, and proportions, and interpret the results.
- Construct and assess simple and multiple linear regression models to describe relationships between variables.
- Plan, conduct, and analyze engineering experiments involving one-way and factorial ANOVA, interpreting main effects and interactions.
- Utilize statistical software (such as Minitab, Excel, or R) to perform data analysis, create visualizations, and interpret statistical outcomes relevant to engineering practice.
Prerequisites
- ISE 205 (Probability and Statistics for Engineers), or
- STAT 319 (Probability and Statistics for Engineers and Scientists)
Textbook
Required:
- D.C. Montgomery and C. Runger, Applied Statistics and Probability for Engineers, 6th Edition, Wiley, 2013
Check out the Resources page for additional learning materials.
Lectures
- All lectures will be in-person (no recording)
- Room: 24-240-1
- Schedules:
- UT 12:30-13:45 PM (F03)
- MW 12:30-13:45 PM (F04)
Office Hours
- Regular office hours: Monday (F03)/Tuesday (F04), 9-10 AM
- Location: Building 22, Room 219
- For appointments outside regular hours, use this calendar.
Grading
| Component | Weight | Cumulative |
|---|---|---|
| Attendance | 4% | 4% |
| Homework | 10% | 14% |
| Quizzes | 10% | 24% |
| First Exam | 25% | 49% |
| Second Exam | 25% | 74% |
| Final Exam | 26% | 100% |
Tentative Schedule
The course covers the following chapters from the textbook:
| Week | Topics | Materials | HW/Quiz |
|---|---|---|---|
| 1 | Course Introduction & Overview | Slides, Reading | - |
| 2 | Point Estimation (Ch.7 intro) | Slides, Reading | HW1 |
| 3 | Properties of Estimators, Sampling Distributions | Slides | HW2 |
| 4 | Central Limit Theorem, Interval Estimation | Slides | HW3 |
| 5 | Confidence Intervals (means, variances, proportions) | Slides | HW4 |
| 6 | Hypothesis Testing basics (Ch.9) | Slides | - |
| 7 | Z and t tests for means | Slides | HW5 |
| 8 | Proportion Tests, Review | Slides | - |
| 9 | Midterm Exam | - | |
| 10 | Two Sample Inference (means, proportions, variances) | Slides | HW6 |
| 11 | Simple Linear Regression | Slides | HW7 |
| 12 | Multiple Linear Regression | Slides | - |
| 13 | ANOVA: Single-Factor Experiments | Slides | HW8 |
| 14 | Factorial Design of Experiments | Slides | HW9 |
| 15 | Review | Slides | - |
| 16 | Final Exam | - |
Note: Links will be updated as materials are released.