2017 SUMMER SCHOOL FOR BIG DATA IN BIOLOGY
REGISTRATION IS CLOSED.
The Center for Computational Biology and Bioinformatics at The University of Texas at Austin is proud to host the 4th Annual Summer School for Big Data in Biology May 22–25, 2017. The summer school provides a unique hands-on opportunity to acquire valuable skills directly from experts in the field, with courses tailored towards novices or intermediate and advance users.
This year we are offering 8 courses. Each will meet for four half-days (either mornings or afternoons) for a total of twelve hours. Instructors will post lectures, datasets, exercises, and course information on a website accessible to enrolled participants. There will be no examinations, but participants may request certificates of completion. Academic credit will not be issued. Please carefully check the specified prerequisite knowledge before enrolling in a course. Payment information for courses is at the bottom of this page.
We now offer credit for educational professional development opportunities during our 2016 Summer School for Big Data in Biology! Teachers currently working in PK–12 settings can earn 12 hours of Continuing Professional Education (CPE) by attending one of our courses held May 22-25, 2017.
Need a quick refresher before the summer school?
Many courses prefer familiarity with Unix, R, and or Python. If you are in need of a refresher for these topics, check out the following 3-hour short courses.
Introduction to R: Monday, February 20. For course details and to register, visit: https://stat.utexas.edu/training/software-short-courses
Introduction to Python: Monday, February 27. For course details and to register, visit: https://stat.utexas.edu/training/software-short-courses
Intro to Unix: Wednesday, May 3. For course details and to register, visit: http://ccbb.utexas.edu/shortcourses.html
|TOPIC||MORNING COURSES Mon - Thur, May 22-25, 9 a.m.-12 p.m.||AFTERNOON COURSES Mon - Thur, May 22-25, 1:30 p.m.-4:30 p.m.|
DNA and RNA sequencing methods and analyses
|Proteomics||Introduction to Proteomics|
Day and Time: Mon-Thur 1:30 p.m. – 4:30 p.m. Location: MEZ 1.204
Description: An introduction to the Unix command line and Python. Unix basics will include file navigation, pipes, and core utilities. Python basics will cover data types, loops, conditionals, and objects. After the basics are covered, the focus will turn to bioinformatics applications. No previous programming experience assumed.
Instructor: Benjamin (Benni) Goetz, M.S., Bioinformatics Consultant
Instructor Bio: Benni is a bioinformatics consultant in CCBB. Python, Bash, and huge computing clusters are some of his favorite things. In a previous life, Benni studied pure math: differential geometry in particular.
Laptop requirement: Students must bring their own laptops. Windows users should have PuttySSH installed. Mac or Linux users will not need to install anything extra.
Please read this disclaimer if you are using the UT ProCard for payment!