Mathematical Foundations of Biostatistics

Winter 2023 (2 units)

The goal of this course is to equip students with core statistical concepts and methods. In this course students will learn mathematical, computational, statistical and probabilistic background; the basics of probability distributions including the definitions of density functions, cumulative distributions, moments of the distributions; theory and methods for point estimation; and methodology for the construction of hypothesis testing and confidence intervals. R statistical software will be used.


Upon completion of this courses, students will be able to:

  •  Identify the correct visualization tool to explore data and the correct model to analyze the data.
  • Choose the best estimation procedure to obtain the model parameter and the correct way of justifying the hypothesis.
  • Identify the sufficient sample size to justify the hypothesis.
  • Demonstrate the ability to choose a study endpoint based on a hypothesis.
  • Demonstrate skill in constructing hypothesis testing and confidence intervals.


Calculus is a prerequisite for this class. For example, students must understand integration and derivatives. A previous or concurrent course in introductory biostatistics is preferred, Biostatistical Methods I (BIOSTAT 200).


Course Director:

Fei Jiang, PhD, MS

Assistant Professor,  Department of Epidemiology & Biostatistics
email: [email protected]


Course content will be delivered through weekly interactive lectures. These will take place on Thursdays from 3:15 PM to 5:15 PM, Jan. 12 to Mar. 23 All course materials and handouts will be posted on the course's online syllabus.

All course materials and handouts will be posted on the course's online syllabus.





To Enroll

ATCR and MAS students use the Student Portal

Students taking individual courses:

Course Fees
How to pay (please read before applying)
Only one application needs to be completed for all courses desired during the quarter.

Winter Course Schedule

Apply for Winter courses by January 2, 2023.