[Biostudent] Winter Courses: 1) The HIV/AIDS Pandemic; 2) Analyzing Epidemiologic Data

[biolprog at uw.edu]

WINTER 2023 COURSES FROM UW EPIDEMIOLOGY

 <https://epi.washington.edu/course/360/> EPI 360/GH 360 - Exploring the
HIV/AIDS Pandemic

Who gets HIV and how?  How can HIV infection be prevented?  How is HIV/AIDS
treated?  What can be done to end the epidemic?  In this course, you will:

 

*               Explore the historical, public health, clinical, and social
aspects of HIV infection. 

*               Examine the epidemiology of the US and global HIV/AIDS
epidemic.

*               Lay the foundation for pursuing a degree and career in
public health, epidemiology, global health, infectious diseases, or
health/medicine.

 

No prerequisites.  All majors are encouraged to enroll.  This is a great
course for students preparing for careers in a health related field.  A
basic understanding of biology is recommended, but not required.  Areas of
Knowledge: I&S, NW, & QSR. 

 

EPI 360A SLN = 14782 (or GH 360A SLN = 23392); 5 credits; Lecture meets: MW
3:30-4:50pm; Quiz meets: F, 9:30-10:20am or 2:30-3:20pm; Instructors:
Adrienne Shapiro ( <mailto:aeshapir at uw.edu> aeshapir at uw.edu) & Connie Celum
( <mailto:ccelum at uw.edu> ccelum at uw.edu)

 

Additional details about the course are provided on the attached flyer or
can be found  <https://epi.washington.edu/course/360/> here.  Direct
questions to  <mailto:epcourse at uw.edu> epcourse at uw.edu.

 <https://epi.washington.edu/course/330> EPI 330 - Analyzing Epidemiologic
Data: Basic Methods

Have you ever wondered HOW epidemiologists actually conduct their analyses?
Do we really do everything as a 2x2 table on paper?  In this course, you
will:


*	Learn to apply epidemiologic concepts to real data using basic
epidemiologic analysis methods
*	Gain hands-on experience with statistical software
*	Learn the basics in data management techniques
*	Conduct an epidemiologic analysis from start to finish

 

Prerequisites: EPI 320 and any introductory biostatistics or statistics
course or AP statistics (grade of 3.0 or above).  Areas of Knowledge: I&S,
QSR

SLN = 22169; 4 credits; Lecture meets: T/Th 2:30-4:20 p.m.; Instructor:
Simon Sandh ( <mailto:ss11641 at uw.edu> ss11641 at uw.edu)

Additional details about the course are provided on the attached flyer or
can be found  <https://epi.washington.edu/course/330> here.  Direct
questions to  <mailto:epcourse at uw.edu> epcourse at uw.edu.

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