Schedule

Where?

  • Meetings will be arranged with Pavlos and TFs soon after the teams are formed.
  • Tutorials: Every Wednesday, starting 28th January 2015, 9-11 for 2 hours at 60 Oxford St, Classroom 330.

Milestones

If you look at the syllabus you will see that there are 4 milestones:

  • PHASE 1: Investigate/research (3 weeks)
  • PHASE 2: Data acquisition/experimental design and/or data preparation/exploration (3 weeks)
  • PHASE 3: Formulation of solution, prototype implementation (3 weeks)
  • PHASE 4: Implementation (4 weeks)

You will be graded on each phase, the eval meeting, via an interview with Pavlos and a TA. You will have 4-5 days to improve your work in that phase based on our feedback in case we do not find your work for that phase acceptable. Then, the next week, you will have a redo meeting with Pavlos and your TA.

Pavlos will be avaliable Tuesday and Wednesday each week. Some of these meetings are mandatory(mid-phase and eval, and redo if you have to). You will also have a 1.5 hour meeting with your primary TF every week. You are strongly urged to utilize the skills of your TF in this meeting. In addition, TA's will hold some open office hours.

More Detailed Schedule

Project Spreadsheet

Tutorial Schedule

There will be a tutorial every wednesday (except for spring break and reading period) at 9-11 for 2 hours at 60 Oxford St, Classroom 330.

This is the tentative list of topics, in order, subject to change:

  1. Numpy/scipy/matplotlib/seaborn/pandas (DONE)
  2. Exploratory statistics, visualization, and data analysis; publish on github. (DONE)
  3. Software Development and Github. (Bob Adams 2/18)
  4. Machine Learning using scikit-learn 1 (Rahul Dave 2/25)
  5. Machine Learning using scikit-learn 2 (Rahul Dave 3/4)
  6. Deep Learning using Theano (Ray Jones -- 3/11 to be rescheduled)
  7. Scientific Writing and presentation (Rosalind Reid -- 3/25)
  8. Deep Learning using Theano (Ray Jones -- 4/1 to be rescheduled)
  9. The bayesian paradigm (Pavlos Protopapas -- 4/8)
  10. Scaling Algorithms 1 (Patrick Ohiomoba/Bob Adams -- 4/15)
  11. Scaling Algorithms 2 (Patrick Ohiomoba/Bob Adams -- 4/22)
  12. Bayesian prediction and inference using pymc (Pavlos Protopapas -- 4/29)
  13. Model Averaging and Ensembles (Pavlos Protopapas -- 5/6)

Final Deliverables Schedule

  • 5/7/2015 5 - 7:30 pm IACS Poster Session
  • 5/12/2015 Final Report Due
  • 5/12/2015 9 am - 4:30 pm Final Project Presentation Sessions

Meeting Schedule

To be determined, after teams are formed, with Professor and TF in B155, IACS.

For Pavlos:

  • Tues: 8:30-10, 10-11:30, 1-2:30, 4-5:30
  • Wed: 11-12:30, 12:30-2, 2-3:30, 3:30-5