STAT6001 Fundamental Mathematical Statistics

STAT6001 Fundamental Mathematical Statistics

Number of Credits

3

Offering School

48

Course Instructor

James Fullwood <Email:fullwood@sjtu.edu.cn>

Course Level

Postgraduate

Language of Instruction

English

First Day of Class

Tuesday, February 20th, 2024

Last Day of Class

Tuesday, June 4th, 2024

Course Component

Lecture

Mode of Teaching

Synchronous

Course recordings available for students.

Meeting Time

Week 1-16: Tuesdays, 12:55-15:45 PM

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Time Zone

Beijing Time(UTC+8)

 Restrictions

Both single and multi-variable calculus are required for this course. 

 

 

 

 Course Description

To better understand nature and the world around us, we perform experiments and collect data so that we may identify patterns and regularities in the structures we investigate. Probability theory and statistical inference are fundamental to such investigation, thus playing a fundamental role in every field of quantitative science.

In this course, we take a bottom-up appraoch to probability theory and statistics, building the theory up from its basic mathematical foundations. Conceptual understanding will be emphasized over algorithmic calculations, and students are expected to come away with a sense of how and why we use the modern methods of probability theory and statistical inference. As such, this course will be useful to students from diverse backgrounds such as biology, chemistry, psychology,  engineering and computer science, and will lay a solid foundation for further, more specialized study of probability theory and statistics.    

Assessment Format

1. Project: 10%

2. Homework: 20%

3. Mid-Term Exam: 30%

4. Final Exam: 40%

Syllabus

English