Courses Taught by Hui Jiang

BIOSTAT521 Applied Biostatistics

  • Graduate level
  • Fall term(s)
  • 4 Credit Hour(s)
  • Instructor(s): Jiang, Hui
  • Prerequisites: Calculus
  • Description: Fundamental statistical concepts related to the practice of public health: descriptive statistics; probability; sampling; statistical distributions; estimation; hypothesis testing; chi-square tests; simple and multiple linear regression; one-way ANOVA. . Taught at a more advanced mathematical level than Biostat 503. Use of the computer in statistical analysis.
  • Syllabus for BIOSTAT521

BIOSTAT606 Introduction to Biocomputing

  • Graduate level
  • Fall term(s)
  • 1 Credit Hour(s)
  • Instructor(s): Boehnke, Michael L; Grant, Barry; Jiang, Hui; Kang, Hyun Min; Kidd, Jeff; Kitzman, Jacob; Mills, Ryan; Sartor, Maureen;
  • Prerequisites: Graduate Standing
  • Description: This short course introduces basic computational environments and tools to graduate students with limited prior experience. It will provide an introduction to UNIX systems, software compilation / installation, cluster job management as well as data formats, management, and visualization. A brief introduction to scripting programming languages will also be presented.
  • Course Goals: Students enrolled in the class will develop skills to accelerate their research in computational research environments. Topics will include an intensive introduction to (a) UNIX systems and software management, (b) data processing and simple programming, (c) data formats and visualization, and (d) software version and cluster control. This training will provide a computational foundation that will allow students to focus on the theoretical and biological aspects of their research.
  • Competencies: After completing this class, students are expected to be able to attain the following competencies: Core Competencies: • Navigate and organize UNIX files and folders • Compile and install software in UNIX environments • Understand basic programming data structures and processes • Create simple scripts to manage and analyze data • Utilize and apply popular file formats to modern large-scale data sets • Apply proper visualization tools and strategies to view data • Utilize software versioning technologies for documenting and organizing software • Utilize high-throughput computing clusters for parallel data processing
  • This course is cross-listed with Biostat 606 = HG 606 = Bioinfo 606.
  • Syllabus for BIOSTAT606

BIOSTAT664 Special Topics in Biostastics

  • Graduate level
  • Fall, Winter term(s)
  • 1-4 Credit Hour(s)
  • Instructor(s): Jiang, Hui
  • Prerequisites: Permission of instructor
  • Description: Master's level seminar designed to provide an extensive review of a number of substantive and methods and skill areas in biostatistics. Readings, discussion, and assignments are organized around issues of mutual interest to faculty and students. Reviews and reports on topics required in the areas selected. May be elected more than once.
  • Syllabus for BIOSTAT664