- Welcome to choose this class. More information will come in late summer 2021.
- 2021 Fall, Auburn University
- Course description
- Obligations and tips
- Test and exam
- Important dates
- Tentative schedule
- Face Covering Policy
- Honor code
- Harassment and Discrimination
|Lecture Instructor||Dr. Le Chenfirstname.lastname@example.org|
|Teach Assistant||Yuan Yuanemail@example.com|
|Class Time and Room||MWF, 12:00 PM -- 12:50 PM||PARKR 305|
|Office hours by Le||MW, 13:00 -- 14:00,||PARKR 203|
|Office hours by Yuan||Th, 12:00 -- 12:50,||PARKR 124|
When you send us emails, please do include the keyword
STAT 3600in the subject field of your email to ensure a timely response.
Probability is the branch of mathematics concerning numerical descriptions of how likely an event is to occur, or how likely it is that a proposition is true. Probability theory lays the foundation for statistics and plays an important role in many applied fields such as artificial intelligence, data science, weather forecast, etc.
This course is the first course of the two-semester sequential courses -- STAT 3600 and STAT 3610. In this course, we will learn basics for probability theory, including random variables, independence, various discrete/continuous distributions, central limit theorem, moment generating functions, etc.
- "Probability and Statistical Inferences", by Hogg, Tanis and Zimmerman, 10th Ed.
This course will cover topics such as combinatorics, basic probability concept, discrete and continuous random variables, classical probability distributions with an emphasis on Normal distribution, multivariate distributions, expected values, conditional probability, independence, moment generating function, central limit theorem. We will follow mostly most parts of the first five chapters of the text book:
- Chapter 1. Probability
- Chapter 2. Discrete distributions
- Chapter 3. Continuous distributions
- Chapter 4. Bivariate distributions
- Chapter 5. Distributions of functions of random variables
- MATH 1620 or MATH 1623 or MATH 1627 or MATH 1720.
This is a demanding course and it requires a great deal of work from your side. In order to successfully master the material and complete the course, you are expected to
- Read the textbook and attend lectures.
- Take the advantage of the office hours, which give you additional chance to interact with the instructor.
- Complete and submit weekly homework through Gradescope.
- Read solutions and any feedback you receive for each problem set.
- Complete both midterm test and the final exam.
- Use appropriate etiquette and treat other students with respect in all discussions.
- Do not hesitate to ask for help whenever needed.
Note: The syllabus was created in July 2021, and it is subject to changes during the semester.
There will be about 12 weekly homework assignments scheduled as follows:
Releasing Due at Friday 6:00pm CST The following Friday, 6pm CST
- No late homework will be accepted.
- You need to write details of some problems and upload your solutions to gradescope.
The lowest grade will be dropped, that is, the final score for the homework will be averaged over the rest HWs.
Note that the drop policy is not a bonus. It aims at accounting for all circumstances such as
sickness, injuries, family emergencies, religion holidays, etc.
- Note that the drop policy is not a bonus. It aims at accounting for all circumstances such as
- There will be one midterm test during the class session:
Final exam will be cumulative.
Date/Time Coverage Midterm Test Oct. 01 Friday Chapters 1 -- 3 Final Exam TBA Chapters 1 -- 5, comprehensive
- Please note down the above dates. No late exam/test will be given.
Makeup exams will only be allowed in extreme circumstances. Exams cannot be
made up without a university-approved excuse. Any excuse must be submitted by
the date of exam to be considered. Please refer to the Tiger Cub for the list
of acceptable reasons for being absent from an exam or a test. Makeup
exam/test has to be scheduled and made up in a timely manner.
- More details will come during the semester.
Here are a list of due dates for 12 homeworks and one midterm test.
Week Friday Homework Others Week 1 08/20 6pm CST HW01 releases Week 2 08/27 6pm CST HW02 releases HW01 is due Week 3 09/03 6pm CST HW03 releases HW02 is due Week 4 09/10 6pm CST HW04 releases HW03 is due Week 5 09/17 6pm CST HW05 releases HW04 is due Week 6 09/24 6pm CST HW06 releases HW05 is due Week 7 10/01 6pm CST HW06 is due Midterm Test Week 8 10/08 6pm CST Fall Break Week 9 10/15 6pm CST HW07 releases Week 10 10/22 6pm CST HW08 releases HW07 is due Week 11 10/29 6pm CST HW09 releases HW08 is due Week 12 11/05 6pm CST HW10 releases HW09 is due Week 13 11/11 6pm CST HW11 releases HW10 is due Week 14 11/18 6pm CST HW12 releases HW11 is due Week 15 11/25 6pm CST Thanksgiving break Week 16 12/02 6pm CST HW12 is due
- We will check the attendance randomly during the semester but not at each class meeting.
- Attendance will not directly counted into your final score.
- But sufficient attendance will make your eligible for grade curving at the end of semester.
- The final score will be determined as follows:
Based on the final score (plus potential bonus points), the final letter grade will be
determined as follows:
Grade (+) Grade Grade (-) A 92%-100% A- 90%-91.9% B+ 87%-89.9% B 82%-86.9% B- 80%-81.9% C+ 77%-87.9% C 72%-76.9% C- 70%-71.9% D+ 67%-67.9% D 67%-67.9% D- 60%-61.9% F 0%-59.9%
- Slides will be updated constantly throughout the semester and please check the time stamp on the front page.
I strongly encourage you to study in advance.
Chapter/Section Slides Slides Chapter 1: Probability presentation handout 1.1 Properties of Probability presentation handout 1.2 Methods of Enumeration presentation handout 1.3 Conditional Probability presentation handout 1.4 Independent Events presentation handout 1.5 Bayes' Theorem presentation handout Chapter 2: Discrete Distributions presentation handout 2.1 Random Variables of the Discrete Type presentation handout 2.2 Mathematical Expectation presentation handout 2.3 Special Mathematical Expectation presentation handout 2.4 The Binomial Distribution presentation handout 2.5 The Hypergeometric Distribution presentation handout 2.6 The Negative Binomial Distribution presentation handout 2.7 The Poisson Distribution presentation handout Chapter 3: Continuous Distributions presentation handout 3.1 Random Variables of the Continuous Type presentation handout 3.2 The Exponential, Gamma, and Chi-Square Distributions presentation handout 3.3 The Normal Distributions presentation handout 3.4 Additional Models presentation handout Chapter 4: Bivariate Distributions presentation handout 4.1 Bivariate Distributions of the Discrete Type presentation handout 4.2 The Correlation Coefficient presentation handout 4.3 Conditional Distributions presentation handout 4.4 Bivariate Distributions of the Continuous Type presentation handout 4.5 The Bivariate Normal Distribution presentation handout Chapter 5: Distributions of Functions of Random Variables presentation handout 5.1 Functions of One Random Variable presentation handout 5.2 Transformations of Two Random Variables presentation handout 5.3 Several Random Variables presentation handout 5.4 The Moment-Generating Function Technique presentation handout 5.5 Random Functions Associated with Normal Distributions presentation handout 5.6 The Central Limit Theorem presentation handout 5.7 Approximations for Discrete Distributions presentation handout 5.8 Chebyshev's Inequality and Convergence in Probability presentation handout 5.9 Limiting Moment-Generating Functions presentation handout
Below is the tentative schedule that may change during the semester:
Monday -- Friday Coverage Test Week 1 08/16 -- 08/20 1.1 -- 1.2 Week 2 08/23 -- 08/27 1.3 -- 1.5 Week 3 08/30 -- 09/03 2.1 -- 2.3 Week 4 09/06 -- 09/10 2.4 -- 2.7 Week 5 09/13 -- 09/17 3.1 -- 3.2 Week 6 09/20 -- 09/24 3.3 -- 3.4 Week 7 09/27 -- 10/01 Reviewing Midterm Test on Friday Week 8 10/04 -- 10/08 Fall Break week Week 9 10/11 -- 10/15 4.1 -- 4.3 Week 10 10/18 -- 10/22 4.4 -- 4.5 Week 11 10/25 -- 10/29 5.1 -- 5.2 Week 12 11/01 -- 11/05 5.3 -- 5.4 Week 13 11/08 -- 11/12 5.5 -- 5.6 Week 14 11/15 -- 11/19 5.7 -- 5.9 Week 15 11/22 -- 11/26 Thanksgiving Week Week 16 11/29 -- 12/02 Reviewing
We will use gradescope to handle submissions of homework, which allows
us to provide fast and accurate feedback on your work.
As soon as grades are posted, you will be notified immediately so that you can log in and see your
grades and feedback.
Your Gradescope login is your university email, and your password can be changed there. The same
link can be used if you need to set your password for the first time.
- You should will receive an email from Gradescope for the registration by 2021-08-16;
If you do not receive this email, please use the Entry Code to register yourself:
- If you have any questions regarding Gradescope, please send your message to
Printer+scanner or tablet
The easiest way to submit the homework/tests/exams is the following steps:
- print the given template;
- complete the problem sets;
- scan the resulting paper (make sure it is legible);
- upload the scanned file to gradescope.
Alternatively, if you have a tablet that you can write on it, you may simply write on the
template pdf file and upload the resulting file.
- Make sure that you make the correct association of your solutions to the problems.
- Double check your scan quality and make sure your solutions are legible.
- The easiest way to submit the homework/tests/exams is the following steps:
The following short video (1 minutes 40 seconds) shows the basic usage of gradescope, which should
explain everything you need to be able to do.
- More instruction will be available towards the Fall 2021.
We will follow the university policy regarding face covering:
Students enrolled in this course are required to wear a face covering that covers the nose and mouth while inside the classroom, laboratory, faculty member offices, or group instructional spaces. Failure to comply with this requirement represents a potential violation of Code of Student Conduct and may be reported as a non-academic violation.
Please consult the Auburn University Classroom Behavior Policy at
for additional details.
- Students should familiarize themselves with Auburn honor code here
Students are encouraged to share ideas and solutions on problem sets and labs, but must
express those ideas in their own words in their submitted work.
- Students are not authorized to view or use the work of another student during exams.
Your success in this class is important to me. We will all need accommodations because we all learn differently. If there are aspects of this course that prevent you from learning or exclude you, please let me know as soon as possible. Together we will develop strategies to meet both your needs and the requirements of the course.
I encourage you to visit the Office of Accessibility to determine how you could improve your learning as well. You can register and make a request for services from the Office of Accessibility. In this case, please do inform me of such requests. See the following link for more information:
- According to Auburn University policies: http://auburn.edu/administration/aaeeo/H&D.php
Auburn University is committed to providing a working and academic environment free from prohibited discrimination and harassment and to fostering a nurturing and vibrant community founded upon the fundamental dignity and worth of all its members. Auburn University prohibits harassment of its students and employees based on protected classes and works to eliminate prohibited behavior from its academics and employment through corrective measures and education. The Office of AA/EEO oversees compliance with the Policy Prohibiting Harassment of Students, the Policy Prohibiting Harassment of Employees, and the Policy on Sexual and Gender-Based Harassment and Other Forms of Interpersonal Violence. Protected classes are race, color, sex (which includes sexual orientation, gender identity, and gender expression), religion, national origin, age, disability, protected veteran status, or genetic information. Auburn University also prohibits retaliation against any individual for opposing a practice he/she reasonably believed to be discriminatory; for filing an internal or external complaint, grievance, or charge; or for participating in any investigation or proceeding, in accordance with Auburn University's policies.
Your feedbacks are important for us to improve the teaching and make the learning process more
effective and enjoyable.
Here are two ways that you could let me know what your think:
- You may send me an email.
- If you want to send me some feedback in an anonymous way, you may fill in the following form:
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