AFNI Short Course: October 4-8, 2010
The AFNI BootCamp is a week-long hands-on course on AFNI, a widely-used software package for fMRI data analysis. For more details on AFNI, see http://afni.nimh.nih.gov/afni The course will be taught by the developers of AFNI, including Robert Cox, Ziad Saad, Rick Reynolds and Gang Chen, and will take place at the University of Texas Medical School, 6431 Fannin St, Houston, TX.
For a free hard copy of the poster or more information about the course, please e-mail the course organizer at Michael.S.Beauchamp@uth.tmc.edu..
The course runs each day from 9 am until 6 pm. Participants must commit to attending the entire course.
How do I register? Unfortunately, the course is currently full. The following information is for the next offering of the course. Registration is only possible after payment of the registration fee. Only checks are accepted (no purchase orders or credit cards). Because it can take an unpredictable amount of time for academic institutions to generate checks, students are advised to pay their registration fee with a personal check (to guarantee a spot) and then request reimbursement from their academic institution. Otherwise, the course may fill before the check from the academic institution is received and registration is completed.
Registation Fees Registration fees for the short course are as follows:$150 (graduate students) $200 (all others). Early registration (which ended on July 1st) was $100 (graduate students), $150 (all others).
Please make checks payable to Rice University (no purchase orders or credit cards) and mail to
Beauchamp Lab, UTHealth Neurobiology and Anatomy, 6431 Fannin Street Suite G.550G, Houston TX 77030.
Participants are not confirmed until the registration fee is received. Click here to download a payment receipt (please fill in the correct name, date and amount yourself)
No CME credits can be provided. All registration fees are non-refundable but registration is freely transferable between participants. A registration form is not required, but if you would like a registration form (even though it is not required) you can download one here: Click here to download the optional Registration Form
Sponsors: The first ten participants from (defined as "primary affiliation with") each sponsoring department are no charge. The sponsoring departments are the UT Department of Psychiatry, UT Department of Neurosurgery and Rice Department of Psychology.
What should I bring? All participants should bring their own laptop computer with AFNI and SUMA already installed. If you do not have a laptop with AFNI installed, the recommended solution is to purchase an inexpensive Macintosh laptop (available for ~$1000). AFNI will NOT run on Windows laptops. For instructions on setting up a computer for the AFNI class, please see http://afni.nimh.nih.gov/pub/dist/HOWTO/howto/ht00_inst/html/class_setup.shtml . If you have problems, please post a question to the AFNI message board at http://afni.nimh.nih.gov/afni/community/board/list.php?f=1 IMPORTANT: Installing AFNI can be difficult and time-consuming. No time in the course is scheduled for software installation, so this must be completed BEFORE the beginning of the course.
Where should I stay? There are special course rates for participants at the Hotel ZaZa, located near the Texas Medical Center (5701 Main Street Houston, Texas 77005 Toll Free 888-880-3244 Local phone 713-526-1991). To make a reservation, visit http://www.hotelzazahouston.com/ . In the lower right hand section of the hotel home page, there is a reservations section. Enter the dates and select "Group/Block Code" from the pull-down menu labeled "Promo Code"; enter "UTMS". The course rate is $118/nt.
The following is a list of all confirmed participants and their affiliations. There is limited seating in the classroom (UT MSB B.645; 66 seats total - 5 seats for instructors = 61 seats for students), and there is no additional space available for a remote or video overflow room. Because of the high demand for the course, it will likely be offered again in the future.
The course is full. Because of the high demand for the course, it will likely be offered again in the future.