Register with for the Office of Extended Studies for credit courses. For non-credit courses, students may register via the University of Maryland Open Catalog. Non-degree seeking students must apply to the Graduate School as a non-degree student. 

 

Use the headings below to view the summer courses.

Undergraduate Courses

EPIB300 Biostatistics for Public Health Practice (Syllabus)
Summer Session I:  May 29-July 4
When:  Online
Registration Type: Credit
Instructor: Dr. Raul Cruz-Cano
EPIB300 examines biostatistical concepts and procedures as they relate to contemporary issues in public health. Focus on applications, hands-on-experience, and interpretations of statistical findings in public health research.
 
EPIB301 Epidemiology for Public Health Practice
Summer Session II:  July 9-August 19
When:  Online
Registration Type: Credit
Instructor: Dr. Gretchen De Silva
EPIB301 exams the discipline of epidemiology and its application to public health issues and practices, covering current epidemiological concepts and methods.

Graduate Courses

EPIB610 Foundations of Epidemiology
Summer Session I:  May 29-July 4
When:  Online
Registration Type: Credit
Instructor: Dr. Olivia Carter-Pokras
EPIB610 is an introduction to the discipline of epidemiology and its applications to health issues and practices. Basic epidemiologic concepts and methods will be covered.
 
EPIB620 Chronic Disease Epidemiology
Summer Session I:  May 29-July 4
When:  Online
Registration Type: Credit
Instructor: Dr. Olivia Carter-Pokras and Dr. David Mann
Overview of prevalence and risk factors for major chronic diseases. Discussion of methodological issues unique to specific chronic disease.
 
EPIB635 Applied Multilevel Modeling of Health Data (Syllabus)
Summer Session II:  July 9-August 19
When:  Tues/Thur 4:00pm-7:50pm, SPH0301
Registration Type: Credit
Instructor: Dr. Sirin Yaemsiri
EPIB635 provides an overview of multilevel models and their application to health data. As a hybrid course, class time will be split between introducing concepts, group discussion of multilevel models in public health literature, and working through hands-on exercises. Assignments and examples will use SAS statistical software.

Biostatistics Courses

EPIB650 Biostatistics I (Syllabus)
Summer Session I:  May 29-July 4
When:  Online
Registration Type: Credit
Instructor: Dr. Xin He
EPIB650 covers basic statistical concepts and procedures for Public Health. Focuses on applications, hands-on-experience, and interpretations of statistical findings.
 
EPIB655 Longitudinal Data Analysis (Syllabus)
Summer Session I:  May 29-July 4
When: Mon/Wed 4:00pm-7:50pm
Registration Type: Credit
Instructor: Dr. Xin He
EPIB655 covers statistical models for drawing scientific inferences from longitudinal data, longitudinal study design, repeated measures and random effects to account for experimental designs that involve correlated responses and handling of missing data.
 
EPIB660 Analysis of National Health Survey Data (Syllabus)
Summer Session II:  July 9-August 19
When:  Online
Registration Type: Credit 
Instructor: Dr. Taylor Lewis
EPIB660 provides background on how features such as stratification, clustering, and unequal sample selection probabilities can invalidate the assumptions underlying traditional statistical techniques, those implicitly assuming a simple random sampling with replacement design. Application using the SURVEY family of SAS/STAT procedures (Version 9.4 or later).
 
EPIB697 Public Health Data Management (Syllabus)
Summer Session II:  July 9-August 19
When:  Tues/Thurs 4:00pm-7:50pm, SPH0303
Registration Type: Credit
Instructor: Dr. Raul Cruz-Cano
This course is designed to provide students with the expertise needed to effectively manage research data using SAS as the statistical programming language.

Non-Credit Courses

Analysis of National Health Survey Data (Syllabus)
Summer Session II:  July 9-August 19
When:  Online
Registration Type: Non-Credit 
Instructor: Dr. Taylor Lewis
This course provides background on how features such as stratification, clustering, and unequal sample selection probabilities can invalidate the assumptions underlying traditional statistical techniques, those implicitly assuming a simple random sampling with replacement design. Application using the SURVEY family of SAS/STAT procedures (Version 9.4 or later).