π» Academic year 2026-2027, 1nd semester, Probability & StatisticsΒΆ
This page the the main page of the following classes:
Course no. xxxxxxx Weeks xx~xx; xxx x-x, xxx x-x Classroom xxxxxx
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Course no. xxxxxxx Weeks xx~xx; xxx x-x, xxx x-x Classroom xxxxxx
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Welcome to the course. The general info of this course is
Lecture hours: 48
Credits: 3
Way of lecturing: Face to face lecturing
Way of examining: General grading + final examining
π TextbookΒΆ
If you have not yet got the textbooks, youβd better π Get your textbook: Probability & Statistics asap.
π¦Ύ MotivationsΒΆ
We learn probability theory and mathematical statistics for three main reasons. Firstly, most real-world phenomena are random and uncertain, and this subject helps us explore hidden laws behind random events. Secondly, it is a basic prerequisite for majors like computer science, finance and engineering, supporting follow-up professional study and academic research. Thirdly, it cultivates data-based, rational critical thinking and avoids subjective empirical judgment.
This course has great practical value in multiple fields. In scientific research, it helps process experimental data, analyze errors and verify research results effectively. In industrial fields, it serves AI data analysis, financial risk assessment, industrial quality inspection and public resource scheduling. In daily life, it guides us to make rational decisions and avoid blind risk choices. To sum up, it is an essential mathematical tool for the big data era.
π ContentsΒΆ
βοΈ How to pass?ΒΆ
You will receive two grades:
- A general grade: It will make up 30% of your final grade. And itself is made of
Class participation (20% of the general grade)
Assignments (60% of the general grade)
Chapter tests (20% of the general grade)
A final examination grade : You will take part in a final written test. Its grade will make up the remaining 70% of your final grade.
For example, if you score 90 (of 100) for your general grade and score 60 (of 100) in the final written test, your final grade will be 90*0.3 + 60*0.7 = 69.
π You pass if your final grade is not lower than 60.
β The final written examination usually happens in the weekend of the second week from the last lecture.
πͺ« In general, if you do not pass, in order to obtain a position in the resit exam (make-up exam), you will need to at least score 60 for your general grade and at least score 30 in the final exam.
β° The resit exam (make-up exam) usually will happen on the weekend before the first week of the next semester. In order to pass the course through the resit exam, you will have to score at least 60 in the resit exam. That is saying no general grade will be taken into account anymore.
π If you fail again in the resit exam, you will have to retake the course.
On top of this, everyone should also follow the π Code of Classroom.
π« Bonus sessionsΒΆ
Sometimes, at the end of a lecture, we will select a topic (like a concept, a theorem, a method, etc.) from the content of the next lecture. You can investigate into the topic and do a brief presentation in the next lecture.
You can do the investigation and the presentation individually or in a group.
If you do them individually, your presentation should usually be in 5 ~ 15 minutes.
If you are in a group, every one of the group should speak something in the presentation of 10 - 20 minutes.
The students participating in this will gain a considerable bonus for their general grades. And we will have multiple such sessions and you all get the chance.
π Teaching evaluationΒΆ
π Q&AΒΆ
To be announced.
π¨ ContactsΒΆ
Want to contact the lecturer?
Yi Zhang (εΌ δ»ͺ)
School of Mathematics and Computing Science, Room 408A
You can also reach me by writing me a MESSAGE FORM.
If you want to inquire about your assignment, please click on Inquiry of Assignment (IoA).
β©οΈ Back to π Probability and Statistics.
β©οΈ Back to π TEACHING.
π οΈ Back to Math is cheap.
