STAT 771 “Applied longitudinal data analysis” is an important elective for graduate students in the Department of Statistics. Face-to-face teaching precludes our master students who are seeking online degree to take this course. Spring 2019 makes thisissue more prominent because there are not many options of electives for our graduate students. Also, the course has attracted more and more non-statistics graduate students who are interested in learning to analyze real-life longitudinal data appearing in many fields, such as in epidemiological, social behavioral, political science, and medical studies. The Department of Statistics is currently unable to teach a large face-to-face section to meet the increasing demands due to the limit of resources. Providing the course online will allow the department to offer a larger section, not be bound by physical classroom space, and allow more students to complete the course without having to be physically at campus. The course materials incorporate basic accessibility features, provide for appropriate learning activities, and allow for appropriate interactions among students and with the instructor.
Dear Dr. Wang,
Thank you for your message. I am supportive of this step you propose. This message represents my Letter of Concurrence for the proposed change.
I am cc'ing Dr. James Hardin (Director, Division of Biostatistics) and Dr. Robert Moran (Graduate Director, Division of Biostatistics) as they will follow-up with you about submission of this change to APPS, etc.
Anthony J. Alberg, Ph.D., M.P.H.
Professor and Chair
Department of Epidemiology and Biostatistics
Arnold School of Public Health
University of South Carolina
From: WANG, LIANMING
Sent: Friday, September 28, 2018 3:52 PM
To: ALBERG, ANTHONY
Subject: Letter of concurrence: change delivery for course Stat 771 (BIOS 770): Applied longitudinal data analysis
Dear Dr. Anthony Alberg,
The Department of Statistics is proposing to change Stat 771 "Applied longitudinal data analysis" to a distance course. The change is only for the delivery but not for content. The purpose is to meet the increasing demand from our graduate students and from non-statistics graduates in all fields at USC. The course will allow students to watch the lectures live or on a delayed basis. Students can also go to studio and meet the lecturer in person if they desire. Since this course is cross-listed with your department, I am writing to ask for your concurrence. Thank you very much.
The grading scale will need to be corrected so that it lists criteria for letter grades. I won't bounce it back at this stage since I'm sure other reviewers will likely have corrections down the line.
Since students have the option of watching the lectures live or at a later time, choose asynchronous for the delivery method. If students can complete the entire course online, choose 100% asynchronous as the delivery method.
Include the following: All readings/materials comply with copyright/fair use policies.
Add the following statement to the syllabus: All learning outcomes in this Distributed Learning course are equivalent to a face-to-face (F2F) version of this course.
Add information to the syllabus explaining the expected turnaround time for feedback on assignments.
Identify the minimal technical requirements/skills to complete the course.
Explain how grades (A-F) will be assigned.
Update will appear in the 1920 Graduate Bulletin to be published 2.15.19.