Welcome Aboard 🙌

MATH 4720/MSSC 5720 Introduction to Statistics

Dr. Cheng-Han Yu
Department of Mathematical and Statistical Sciences
Marquette University

Taipei, Taiwan

Taiwan location

My Journey

  • Assistant Professor (2020/08 - )

  • Postdoctoral Fellow

  • PhD in Statistics

  • MA in Economics/PhD program in Statistics

How to Reach Me

  • Office hours MoWe 4:50 - 5:50 PM and Tu 1 - 2 PM in Cudahy Hall 353.

  • 📧

    • Answer your question within 24 hours.
    • Expect a reply on Monday if shoot me a message on weekends.
    • Start your subject line with [math4720] or [mssc5720] followed by a clear description of your question.
  • I will NOT reply your e-mail if … Check the email policy in the syllabus!

Help Desk Hours

  • Unfortunately, no TA for this course. 😿

  • Help desk hours on the 4th floor of Cudahy Hall.

  • The hours will be released later.

Course Materials

  • All course materials and information can be found on this website. Bookmark it!

Textbook (Really?!)

Textbook (Dr. Yu’s Online Book)

Learning Management System (D2L)

  • Submit your work: Assessments > Dropbox

  • Check your grade: Assessments > Grades

  • New announcement: News

Grading Policy ✨

  • Your final grade is earned out of 1000 total points distributed as follows:

    • Homework 1 to 8: 175 pts (25 pts each)
    • Quiz 1 to 4: 200 pts (50 pts each)
    • Exam 1 and 2: 300 pts (150 pts each)
    • Final exam: 150 pts
    • AI Project: 150 pts
    • Class participation: 25 pts

  • ❌ No extra credit projects/homework/exam to compensate for a poor grade.

  • Individual grade will NOT be curved.

Grade-Percentage Conversion ✨

  • Your final grade is based on your percentage of points earned out of 1000 points.
  • \([x, y)\) means greater than or equal to \(x\) and less than \(y\).
Grade Percentage
A [94, 100]
A- [90, 94)
B+ [87, 90)
B [83, 87)
B- [80, 83)
C+ [77, 80)
C [73, 77)
C- [70, 73)
D+ [65, 70)
D [60, 65)
F [0, 60)

Homework (175 pts)

  • Assessments > Dropbox and upload your homework in PDF format.

  • There are 8 homework sets.

  • You must submit YOUR OWN work. 🙏

  • Every homework is due by Friday 11:59 PM (Don’t miss it. This is a hard deadline❗).

  • MSSC 5720 students may have more or different homework questions.

  • ❌ No make-up homework.

  • The lowest score will not be in your final grade calculation.

  • Using generative AI (GenAI) tools is allowed, but you must carefully cite it or reveal your use of AI.

Quizzes (200 pts)

  • There are 4 in-class 15-min quizzes.

  • 📚 Quizzes are individual and in closed-book and no-tech format, except a calculator.

  • ❌ No cheat sheet or GenAI is allowed.

  • ❌ No make-up quizzes for any reason unless you got an excused absence. Check the syllabus for more details.

Exams (450 pts)

  • There are two midterm exams and one final exam.

  • The midterms have in-class and take-home parts, and the final is a in-class written exam.

  • 📄 For the in-class parts, one piece of letter size cheat sheet is allowed. It has to be turned-in with your exam.

  • For the take-home parts, you are allowed to use GenAI tools. However, you must carefully cite it or reveal your use of AI.

  • Assessments > Dropbox to submit your take-home exams in PDF format.

  • Exam 1 covers Week 1 to 6.

  • Exam 2 covers Week 7 to 11.

  • Final exam is comprehensive and covers the all course materials. 😎

  • ❌ No make-up exams for any reason unless you got an excused absence.

AI Project (150 pts)

  • There will be one AI project released around Week 13.

  • You have to use GenAI to self learn a topic that is not covered in my lectures, and generate a data analysis report.

  • The project topic will also be tested in the final exam.

  • You must carefully cite your GenAI tool or reveal your use of AI.

What Computing Language We Use (I Teach)?

  • 📈 The best language for statistical computing!
  • ✅ You may use other tools or software such as Excel, Python, Minitab, etc to do your work, but I will NOT teach any of them.
  • ❌ Drop/Swap deadline: 09/02/2025. Don’t miss it!

Document Generative AI Use

  • You may use generative AI tools such as ChatGPT and Gemini to generate a first draft of text for your work, provided that this use is documented and cited.
  • Unless explicitly stated otherwise, you may make use of any online resources, but you must explicitly cite/document where you obtained any code you directly use or use as inspiration in your solutions.

  • If you use GenAI, please include the followings in your submitted work:

    • Why/How I used AI (prompts or questions)
    • Generated output (screenshot or copy-paste excerpt)
    • How I used the output

Document Generative AI Use

  • Why/How I used AI (prompts and questions)
    • I asked ChatGPT to generate a histogram using R.
  • Generated output (screenshot or copy-paste excerpt)

  • How I used the output
    • I reviewed the suggestions, but I did not use the exact code. Instead, I change the code format and breaks value to 50.

Academic Integrity

This course expects all students to follow University and College statements on academic integrity.

  • Honor Pledge and Honor Code: I recognize the importance of personal integrity in all aspects of life and work. I commit myself to truthfulness, honor, and responsibility, by which I earn the respect of others. I support the development of good character, and commit myself to uphold the highest standards of academic integrity as an important aspect of personal integrity. My commitment obliges me to conduct myself according to the Marquette University Honor Code.

GenAI and Academic Integrity