ISE 315: Engineering Statistics
Term 261 (Fall 2026), Section F03
Instructor: Mansur M. Arief — mansur.arief@kfupm.edu.sa
Department: Industrial and Systems Engineering, College of Computing and Mathematics, KFUPM
Office: Building 22, Room 219
Office hours: Wednesdays, 15:00–16:00, or by appointment
Course Description
Review of estimation. Tests of hypothesis for single and two samples. Applications of tests of hypothesis in engineering. Simple and multiple linear regression and their applications. Design and analysis of single-factor experiments: analysis of variance. Design of experiments with several factors. Case studies in engineering statistics.
Prerequisites
ISE 205 or STAT 319.
Objectives
- Present the concepts of tests of hypothesis, regression analysis, and design of experiments.
- Demonstrate real applications of design of experiments in engineering.
- Perform data analysis, draw valid conclusions, and use these concepts in practice.
- Develop students’ skills in using computer technology for statistical analysis.
Course Learning Outcomes
By the end of the course, students will be able to:
- Structure engineering decision-making problems as hypothesis tests. (SO-1)
- Construct confidence intervals. (SO-1)
- Utilize the regression model to estimate the mean response, make predictions, and construct confidence and prediction intervals. (SO-1)
- Design and conduct engineering experiments involving several factors using the factorial design approach. (SO-2)
Textbook and References
Reference texts:
- D. C. Montgomery and G. C. Runger, Applied Statistics and Probability for Engineers, 6th Edition, Wiley, 2013.
- R. E. Walpole and R. H. Myers, Probability and Statistics for Engineers and Scientists, 9th Edition, 2011.
Grading
| Component | Weight |
|---|---|
| Attendance | 5% |
| Homework | 5% |
| Quizzes | 15% |
| Major Exam 1 | 25% |
| Major Exam 2 | 25% |
| Final Exam | 25% |
Attendance is scored out of 5%, with −0.5 for every absence. DN will be enforced upon the 6th unexcused absence.
Exams
| Exam | Date | Coverage |
|---|---|---|
| Major Exam 1 | October 13, 19:00–21:00 | Chapters 7, 8, 9, and 10 |
| Major Exam 2 | November 24, 19:00–21:00 | Chapters 10, 11, and 12 |
| Final Exam | Per the registrar’s announcement | Chapters 12, 13, and 14 |
Course Resources
- Homework submissions via Gradescope.
- Blackboard: course schedule, slides, homework problems and solutions, readings, quizzes, and extra office-hour appointments.
- This site: lectures and resources.
Course Policy
- University regulations regarding absences will be strictly enforced. Arriving to class 10 minutes late or more is recorded as missing half the class.
- If you miss a class, you are responsible for the material covered and any announcements made.
- Homework may be discussed in groups, but every submission must be written up individually.
- If you need to reach me, please use email rather than Microsoft Teams.
Honor Code
Students of this course are expected to maintain the highest level of academic integrity and ethics. A KFUPM student does not cheat or tolerate those who do. Every student is expected to submit work that is entirely their own, to properly cite all sources used, and to refrain from any form of academic misconduct.
Plagiarism and Use of Generative AI
Use of another person’s ideas, processes, results, or words requires appropriate credit or reference to the author. Use of generative AI tools is subject to the instructor’s authorization. Submitting the same work in more than one course without the instructor’s permission is not allowed.
Class Attendance
Students are expected to arrive on time for class, consistent with expectations in professional settings. Recording attendance for another student, signing another student’s attendance, or asking another student to record yours will be reported for investigation and may result in severe consequences for both students involved.
Examination Policies
You are expected to adhere to KFUPM policies for all examinations in this course, including quizzes, major exams, midterms, and the final exam. The following policies are enacted in this course during examinations:
- Students are expected to arrive at the examination hall on time with proper University ID.
- Students are seated according to the instructor’s seat assignment and may request a seat change only for legitimate reasons.
- Late arrival to the exam may result in the student being denied admission. Once any student has begun finishing the exam, no further admission will be allowed under any circumstance.
- Students are not permitted to leave the examination room to use the restroom during an exam, except in rare cases involving a documented medical condition (e.g., diabetes, kidney disease). Any excused restroom leave will be fully supervised by a same-gender proctor.
- Students must leave all smart devices outside the examination hall, including smartphones, smartwatches, earbuds, and unauthorized calculators. Possession of any unauthorized device will be considered a cheating attempt and will be handled accordingly.
- Cheating attempts will be reported according to KFUPM policy and will result in a DN grade in the course, along with potential further penalties upon investigation.
This page reflects the official ISE 315 syllabus for Term 261 (v1.1, 19 August 2026). Where any discrepancy arises, the official syllabus distributed on Blackboard applies.