Courses Taught by Walter Dempsey

BIOSTAT617: Theory and Methods of Sample Design (Soc 717 and Stat 580 and SurvMeth 617)

DempseyWalter
Dempsey, Walter
  • Graduate level
  • Residential
  • Winter term(s) for residential students;
  • 3 credit hour(s) for residential students;
  • Instructor(s): Dempsey, Walter (Residential);
  • Prerequisites: Three or more courses in statistics, and preferably a course in methods of survey sampling
  • Description: Theory underlying sample designs and estimation procedures commonly used in survey practice.
  • This course is cross-listed with Stats 580 Soc 717 SurvMeth617 in the Rackham department.
  • Syllabus for BIOSTAT617

BIOSTAT629: Case Studies in Health Big Data

HendersonNicholas
Henderson, Nicholas
DempseyWalter
Dempsey, Walter
  • Graduate level
  • Residential
  • Winter term(s) for residential students;
  • 1-2 credit hour(s) for residential students;
  • Instructor(s): Henderson, Nicholas Dempsey, Walter (Residential);
  • Prerequisites: BIOSTAT 601, BIOSTAT 602, BIOSTAT 650, BIOSTAT 651, BIOSTAT 625, BIOSTAT620
  • Description: Being a project-based course, it integrates all competencies learned in HDSC to provide a culminating research experience. Students will work on two to three health big data projects, through which they learn to identify scientific objectives and analytical strategies and report findings through oral presentation and written documents.
  • Learning Objectives: Students will learn how to identify a scientific goal of the project and to develop analytic strategies. Students will learn to integrate and apply quantitative skills to handle real-world health big data, including data modification and cleaning, data visualization and scalable computing. From presentations, students will improve their communication skills.
  • Syllabus for BIOSTAT629
Concentration Competencies that BIOSTAT629 Allows Assessment On
Department Program Degree Competency Specific course(s) that allow assessment
BIOSTAT Health Data Science MS Apply quantitative techniques commonly used to summarize and display big public health data BIOSTAT629
BIOSTAT Health Data Science MS Apply descriptive and inferential methodologies according to the type of study design or sampling technique for answering a particular public health question BIOSTAT629