Courses Taught by Bhramar Mukherjee

BIOSTAT499: Transforming Analytical Learning in the Era of Big Data

  • Undergraduate level
  • Residential
  • Spring-Summer term(s) for residential students;
  • 3 Credit Hour(s) for residential students;
  • Instructor(s): Mukherjee, Bhramar Zawistowski, Matt (Residential);
  • Prerequisites: Admission to BDSI Program
  • Description: The "Transforming Analytical Learning in the Era of Big Data" course is a a six week undergraduate summer program that exposes students to diverse techniques, skills and problems in the field of Big Data and Human Health. Students receive a broad and interdisciplinary introduction to statistical theory and concepts during morning lectures led by faculty from across campus. Afternoons are spent in small faculty-mentored research groups analyzing real big datasets to address focused research questions. The course also includes professional development designed to prepare students for the graduate school application process.
  • Learning Objectives: At the conclusion of the course, students will have the skills required to pursue graduate studies in Big Data science.

BIOSTAT698: Modern Statistical Methods in Epidemiologic Studies

  • Graduate level
  • Residential
  • Fall term(s) for residential students;
  • 4 Credit Hour(s) for residential students;
  • Instructor(s): Mukherjee, Bhramar (Residential);
  • Not offered 2020-2021
  • Prerequisites: EPID600, BIOSTAT522 and BIOSTAT523 for epid students; BIOSTAT650, BIOSTAT651 for biostat students
  • Advisory Prerequisites: EPID 798 for epid students; BIOSTAT 695 for Biostat students
  • Description: The goal of this pilot course is to create an interdisciplinary educational experience for Ph.D. students in Epidemiology (also available as an optional elective for Masters students in Biostatistics) through a uniquely designed course that contains lectures on advanced biostatistical methods, but places them in the context of epidemiological applications.
  • This course is cross-listed with EPID815.