IE 300 (Analysis of Data) - Spring 2024 - Section B - Syllabus

IMPORTANT NOTE: This syllabus is for the Section B offering of IE 300 in the Spring 2024. You should be elsewhere if you're enrolled in Section A! (Likely, you should be here if you're in Section A:

Quick links

Course website: (You are here.)

Course schedule:

Gradescope: (Entry Code: NPN4XK)

Media Space channel: Recorded lectures (when available) can be found at


Times and places

Course folks

Course description

Nature of probabilistic models for observed data; discrete and continuous distribution function models; inferences on universe parameters based on sample values; control charts, acceptance sampling, and measurement theory.

Course expectations

I expect all students to contribute to a supportive learning environment and a cooperative community. We are all here to learn, and, I'd like to emphasize this: help each other learn. Students are expected to be civil and respectful.

Throughout the course, you may freely ask questions at any time. There are no stupid questions, and everyone should feel comfortable asking anything during the class. However, I may request that discussions related to such questions be shifted to discussion outside of class if there is not enough in-class time to fully resolve any questions.

Course structure

This course has 2 instructional components: a lecture which meets 3 times a week, and a lab which meets 1 time a week. Please check which lab section you are enrolled in to see wherewhen your lab is. (This may be listed as a discussionrecitation on your schedule.)

I will try my best to record the lectures and post them on the Media Space channel at the top of this page, but I cannot guarantee that every lecture will be available.

Lecture attendance is not mandatory, but you are expected to be responsible for all material covered during the lecture.

Lab attendance IS mandatory. (Again, this may be listed as a discussion/recitation on your schedule.)

The course has 4 graded components: homeworks which will be due roughly every week, graded lab materials, two midterms in the semester, and a final exam. The grading will be broken down as follows.

homeworks 40%
labs 10%
midterm 1 15%
midterm 2 15%
final exam 20%

You may check your grades at any time on Gradescope (, which we will be using as the gradebook for the class.


Homework assignments will be administered via Gradescope, i.e. HWs will be posted on Gradescope and submissions will be collected on Gradescope. The information to sign up for Gradescope is available at the top of this page under 'Quick Links’.

When you enroll, please use the following information.

Homework due dates and time will be listed on the Gradescope assignment. No late homeworks will be accepted.

You may drop your lowest homework grade. This dropped homework is meant to account for any personal events or extenuating circumstances that may arise. No exceptions, extensions, or other variations will be given; if something happens that greatly interferes with your ability to complete assignments this semester, grading will be determined by the university's policy on such extenuating circumstances.

Allot yourself time to upload a PDF of your homework to the website. Failure to upload a homework assignment due to technical issues will also be absorbed by the one-dropped-homework policy.

You are welcome to typeset your homeworks, write them by hand with a digital device (e.g. iPad), or scan hand-written homeworks. For scanning, I recommend the Adobe Scan app ( Homeworks are required to be legible. This is a comment on both handwriting and scan quality. The definition of legibility is at our discretion.


Midterm exams will take place in-class. The exact dates can be found on the Course Schedule link at the top of this page.

Final exam

There will be one final exam at the end of the semester, during the allocated final exam time slot. (This will be added to the Course Schedule when it is finalized.) It's format will be just like the midterms, only longer. As with the midterms:


The course materials will be drawn from Applied Statistics and Probability for Engineers, 7th Edition, by Douglas C. Montgomery and George C. Runger. The 5th and 6th editions are also fine.

The textbook is great for supplementing the lectures but it is not required.

The course textbook can be found online for free here:

You may also find slides, lecture recordings, and practice problems here:

Another good reference is Probability with Engineering Applications by Bruce Hajek, available online here:

Course website

The central hub for this course will be the course website, which can be found under 'Quick Links’ at the top of this page.

This webpage will be maintained and is the best resource for up-to-date information about the course. In the unlikely event of conflicting information, the information on this webpage will take precedence.

Academic integrity

All students are subject to the university's academic integrity policies. A quick reference guide, as well as links to the official student code, can be found at:

I do not expect academic integrity will be an issue, but it is worth discussing briefly. If you find that you are struggling with the material in the course, do not hesitate at all to reach out to me. Send me an email, drop by my office hours, see me after class, slip a note under my office door, whatever. One should not feel like they must resort to cheating in my class.

College-Wide Syllabi Information

The following text is standardized across all syllabi in the Grainger College of Engineering. This class stands behind and upholds the following statements and values therein.

Sexual Misconduct Reporting Obligation

The University of Illinois is committed to combating sexual misconduct. Faculty and staff members are required to report any instances of sexual misconduct to the University’s Title IX Office. In turn, an individual with the Title IX Office will provide information about rights and options, including accommodations, support services, the campus disciplinary process, and law enforcement options.

A list of the designated University employees who, as counselors, confidential advisors, and medical professionals, do not have this reporting responsibility and can maintain confidentiality, can be found here:

Other information about resources and reporting is available here:

Academic Integrity

The University of Illinois at Urbana-Champaign Student Code should also be considered as a part of this syllabus. Students should pay particular attention to Article 1, Part 4: Academic Integrity. Read the Code at the following URL:

Academic dishonesty may result in a failing grade. Every student is expected to review and abide by the Academic Integrity Policy: Ignorance is not an excuse for any academic dishonesty. It is your responsibility to read this policy to avoid any misunderstanding. Do not hesitate to ask the instructor(s) if you are ever in doubt about what constitutes plagiarism, cheating, or any other breach of academic integrity.

Religious Observances

Illinois law requires the University to reasonably accommodate its students’ religious beliefs, observances, and practices in regard to admissions, class attendance, and the scheduling of examinations and work requirements. You should examine this syllabus at the beginning of the semester for potential conflicts between course deadlines and any of your religious observances. If a conflict exists, you should notify your instructor of the conflict and follow the procedure at to request appropriate accommodations. This should be done in the first two weeks of classes.

Disability-Related Accommodations

To obtain disability-related academic adjustments and/or auxiliary aids, students with disabilities must contact the course instructor and the Disability Resources and Educational Services (DRES) as soon as possible. To contact DRES, you may visit 1207 S. Oak St., Champaign, call 333-4603, e-mail or go to If you are concerned you have a disability-related condition that is impacting your academic progress, there are academic screening appointments available that can help diagnosis a previously undiagnosed disability. You may access these by visiting the DRES website and selecting “Request an Academic Screening” at the bottom of the page.

Family Educational Rights and Privacy Act (FERPA)

Any student who has suppressed their directory information pursuant to Family Educational Rights and Privacy Act (FERPA) should self-identify to the instructor to ensure protection of the privacy of their attendance in this course. See for more information on FERPA.

Anti-Racism and Inclusivity Statement for Inclusion in Course Syllabi

The intent is to raise student and instructor awareness of the ongoing threat of bias and racism and of the need to take personal responsibility in creating an inclusive learning environment.

The Grainger College of Engineering is committed to the creation of an anti-racist, inclusive community that welcomes diversity along a number of dimensions, including, but not limited to, race, ethnicity and national origins, gender and gender identity, sexuality, disability status, class, age, or religious beliefs. The College recognizes that we are learning together in the midst of the Black Lives Matter movement, that Black, Hispanic, and Indigenous voices and contributions have largely either been excluded from, or not recognized in, science and engineering, and that both overt racism and micro-aggressions threaten the well-being of our students and our university community.

The effectiveness of this course is dependent upon each of us to create a safe and encouraging learning environment that allows for the open exchange of ideas while also ensuring equitable opportunities and respect for all of us. Everyone is expected to help establish and maintain an environment where students, staff, and faculty can contribute without fear of personal ridicule, or intolerant or offensive language. If you witness or experience racism, discrimination, micro-aggressions, or other offensive behavior, you are encouraged to bring this to the attention of the course director if you feel comfortable. You can also report these behaviors to the Bias Assessment and Response Team (BART) ( Based on your report, BART members will follow up and reach out to students to make sure they have the support they need to be healthy and safe. If the reported behavior also violates university policy, staff in the Office for Student Conflict Resolution may respond as well and will take appropriate action.