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Schedule.md

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Schedule

Sunday (9/4)

Arrival and check in (details TBD)

Monday (9/5)

Physics Astronomy 5th floor

9 AM : Welcome and introduction (Ariel, Tal, and everyone)

10 AM : Introduction to Data Science (Fernando)

10:45 : Coffee break

11 AM : Data science tools -- tutorials (Data Science Studio):

Time Room 1 (TBD) Room 2 (TBD) Room 3 (TBD)
11 AM - noon Unix shell (Beginners) Advanced Unix and Make Docker
noon - 1 PM Lunch Lunch Lunch
1 - 2 PM Git/Github 1 Python programming 1 Python tips and tricks
2 - 3 PM Git/Github 2 Python programming 2 IPython tips and tricks
3 - 4 PM Python programming 1 Advanced data manipulation (Pandas/xray) Software testing
4 - 5 PM Python programming 2 Parallel computing with Spark Advanced Unix and Make
5 - 6 PM Software testing Data visualization Cython

6 PM : Welcome reception (Data Science Studio)

Tuesday (9/6)

9 - 11: Using Cloud computing for neuroimaging analysis (Cameron)

11 - noon: Open data-sets for neuroimaging hacking (Tal)

noon - 1 Lunch

1 - 3 PM: hack project pitches (Physics astronomy 5th floor)

3 - 6 PM Hacking in the DSS

Afternoon breakout session (4:30 PM): AIBS data-sets (Terri)

Wednesday (9/7)

9 - 11: Image processing with scikit-image (Ariel; OUGL)

11 - noon: Quantitative and diffusion MRI (Jason; OUGL)

noon - 1 PM: Lunch

1 - 6 PM : Hacking in the DSS

Afternoon breakout session (Time TBD): Advanced time-series analysis (Bing)

Thursday (9/8)

9 AM - 10 AM: Model evaluation and model comparison in fMRI (Kendrick)

10 AM - noon: scikit-learn (Jake, Ariel)

noon - 1 PM: Lunch

1 PM - 6 PM: hacking in the DSS

Afternoon breakout sessions (2:30 PM): Using GNU Make for reproducible, parallel neuroimaging workflows (Tara), Nilearn (Chris?)

6 PM: evening Seattle outing (TBD)

Friday (9/9)

9 AM - 10:30 : Towards transparent and reproducible neuroimaging research (Russ?)

10:30 AM - noon : Reproducible research workflows with nipype (Satra, Chris)

noon - 1 PM: lunch

2 PM: Project presentations (Physics/Astronomy tower 5th floor)

5 PM: Summary and feedback

6 PM: Farewell reception (Data Science Studio)

Saturday

Check out and departure (details TBD)