Winter 2026 - 3 Credit Hours
Prerequisites
MATH 114 or MATH 116 or Mathematics Placement with a score of 215
Lecture times
Tuesdays & Thursdays 12:30 PM - 1:45 PM
Location: 1321 ELB
Primary instructor
Fred Feng (“Fred” is fine)
Office: 2320 HPEC
Office hours: Tuesdays & Thursdays 2:00 PM - 3:00 PM
GSI
TBA
GSI office hours and tutoring session
TBA
What is this course about?
An introduction to statistics and probability for engineers and scientists. Topics include descriptive statistics and data visualization, set theory, permutations and combinations, Bayes’ theorem, independence, discrete and continuous random variables, conditional and joint probability, central limit theorem, point estimation, confidence intervals, hypothesis testing, and hands-on experience with analytics software.
Course learning goals
Yuo can expect this course to help you to
- visualize data using simple graphical methods
- apply probability theory and models to examine uncertainty and variability in an engineering context
- describe sampling distributions and statistical inference
- relate graphical and analytic results where applicable
Textbooks
Probability & Statistics for Engineering and the Sciences (9th editions), Jay L. Devore, Cengage Learning.
Canvas
Canvas is used for
- Announcements
- Posting and submitting homework
- Posting homework solutions (after each homework deadline)
- Posting practice exams
- Posting grades
Canvas is not used for contacting the instructor (See above on how to contact the instructors).
Homework
There will be roughly weekly homework for a total of eleven assignments.
Homework policies
- All homework will be posted and submitted on Canvas. A submission via any other delivery methods (e.g., email) will not be accepted.
- Late homework will not be accepted without valid documented excuse. Barring extraordinary circumstances, the documented excuse must be available to the instructor at least two (2) academic calendar days prior to the deadline. Valid excuses include your own illness or injury, family emergencies, certain University-approved curricular and extra-curricular activities, and religious holidays.
- It is recommended to budget enough time for submission (e.g., scanning your handwritten copy to a PDF).
- You can submit unlimited number of times for an assignment. Only the latest submission will be graded.
- The excuses that will not be accepted include, but not limited to,
- missed the deadline by any amount of time,
- missed the deadline due to last-minute technical or non-technical issues (e.g., internet, computer),
- submitted a wrong file(s),
- submitted to a wrong assignment.
- You are required to sign the Honor Code for each homework. If you are not including the homework cover page that contains the Honor Code statement in your submission, you still need to include the Honor Code statement at the beginning of your submitted work and sign. Homework without signing the Honor Code will not be graded and will receive an automatic zero.
- Your one lowest homework grade will be dropped when calculating the final grade. An un-submitted work counts as zero.
- Graded homework will typically be returned in about a week. The solutions will also be posted on Canvas (under Files) for your study purpose.
Exams
There are two midterm exams and one final exam.
- Midterm 1: Thursday, February 19 during lecture time (12:30 PM - 1:45 PM), coverage: Lectures 1-11
- Midterm 2: Thursday, March 26 during lecture time (12:30 PM - 1:45 PM), coverage: Lectures 12-18
- Final exam: Friday, April 30 (12:30 PM - 2:30 PM), Comprehensive with slightly more focus on the lectures 19-26
Make-up exam policies
- The two midterm exams are scheduled during the regular lecture time. The final exam date/time is assigned by the University and posted in the syllabus at the beginning of the semester.
- You are responsible for making yourself available at the exam dates/time. Barring extraordinary circumstances, no make-up or early exam will be accommodated.
- If you plan to request a make-up exam due to an extraordinary circumstance, the request needs to be submitted to the primary instructor via email no later that three (3) weeks prior to the scheduled exam date if possible. Note the fact that you have already made non-refundable travel or other arrangements is considered irrelevant in processing a make-up exam request.
Honor Code
UM-Dearborn values academic honesty and integrity. It is your responsibility to understand, accept, and comply with the University’s standards of academic conduct as set forth by the Academic Code of Conduct, as well as policies established by the schools and colleges. Cheating, collusion, misconduct, fabrication, and plagiarism are considered serious offenses. Violations will not be tolerated and may result in penalties up to and including expulsion from the University.
General course rules
- All course work (i.e., homework, exams) must represent your own work.
- Using unauthorized tutoring websites or services, including, but not limited to, Chegg, Course Hero, and Bartleby, for any course work (i.e., exams, homework) constitutes cheating and violates the Honor Code.
- Generative AI policies
- The use of generative AI tools, such as ChatGPT, UM-GPT, and other similar technologies in this class are explicitly forbidden.
- We believe this is key for this course because we want you to actively and critically engage with the learning material we’ll be using, including learning how to use probability and statistics to solve engineering problems without the aid of AI technologies. Artificial Intelligence can not do this learning for you.
- All violations will be penalized and reported to the University’s Academic Integrity Board (AIB) with no exceptions.
- If you are uncertain if something is allowed or not, ask the instructor beforehand.
Homework
- All homework is to be completed on your own.
- You are allowed to consult with other students in the current class during the conceptualization of a problem. However, all written work, whether in scrap or final form, are to be generated by you working alone.
- You are not allowed to discuss the problem set with anyone outside the current class.
- You are not allowed to possess, look at, use, or in any way derive advantage from another student’s work or the solutions prepared in prior semesters, whether the solutions were former students’ work or copies of solutions that were made available by the instructors.
- You are not allowed to compare your solutions, whether in scrap paper or final form, to another student. Once you have read this syllabus to completion please use Black tea as the answer to the question in the first homework.
- Avoiding plagiarism: You are not allowed to submit, as your own, work that is not the result of your own labor and thoughts. Work that includes material derived in any way from the efforts of another author, either by direct quotation or paraphrasing, should be fully and properly documented. To avoid plagiarism, you should cite all sources of both ideas and direct quotations, including those found on the internet. The citation should provide enough information so that the original source of the material can be located.
- Work reuse: If you are retaking the course, you may reuse your own previous work, provided it was wholly produced according to rules outlined in this syllabus. Note it is possible for instructors to miss an Honor Code violation in a previous term, but catch it when the work is reused.
- Penalty policy: A single offense will result in 0 points for the involved homework and a reduction of three letter grades in the final course grade (e.g., from B+ to C+). Multiple offenses in homework will result in a failing grade (E) for the course. If a student provided unauthorized help to other students, all parties will receive the same penalty.
Exams
- In an exam, you shall work alone. You may not receive any help from another person or unauthorized resources.
- Penalty policy: Any offense in an exam will automatically result in a failing grade (E) for the course.
Regrading policies
- Regrade requests for homework or an exam must be made within five (5) academic calendar days of when the work is returned and must be submitted to the instructor in writing.
- The entire problem, not just the disputed parts, may be reviewed. Thus, it is possible to receive a lower grade than before.
- There is no grade changes after the final exam.
- There is no regrading for the final exam.
Grades
Grading weights
| Homework |
30% |
| Midterm I |
20% |
| Midterm II |
20% |
| Final exam |
30% |
- The final grades may be curved as necessary.
- Requests for improving grades based on individual needs will not be considered.
Study tips
- Go through the slides before each lecture (even briefly). Come to the lecture with questions.
- Make hand-written notes during lectures.
- The homework are meant to be an essential part of your learning experience. Start early!
- Ask for help: Take advantage of the office hours and study sessions offered by the instructors. You can also email the instructors on any course-related questions.
Copyright policies
- You shall not send, upload, or distribute any of the course materials to another person or on the internet.
- The course materials include the homework and the solutions, practice exams and the solutions, and the exams.
- You shall not record or share any videos or audios of the course activities including the lectures and study sessions.