Schedule

Note: This schedule is subject to change and will be adjusted as needed throughout the semester. Check back often.

# Date Speaker Topic Homework
1 01/08 Rose Yu Deep Learning for Large-Scale Spatiotemporal Data Paper
Brief Course Introduction
2 01/09 Course Introduction
Introduction to Research 		Homework 1 Due Thursday January 16 1:30pm
3 01/15 Renée Miller Data Science over Data Lakes (Slides) Reading the homework is to read the paper and ask good questions!
4 01/16 Discussion of Homework 1 Homework 1 due before class -- submit on blackboard
Bring a copy of your HW1 to class as we will be discussing them in break out sections.
5 01/22 How to Read a Research Paper Keshav - Reading 1 and Fong - Reading 2
6 01/23 Practicum on How to Read a Paper
How to Give a Research Talk 		Presentation Advice and Academic Talks
7 01/29 Lu Wang Convince Me If You Can: Argument Generation with Content Planning and Style Specification Paper and Slides Homework 2 Due Wed 2/5 1pm.
PETS19 Paper for HW2
8 01/30 Discussion of empirical methods. Discussion of HW2. There will be time allocated to form groups for the class presentations.
9 02/05 Alan Mislove How Facebook’s Ad Delivery Can Lead to Biased Outcomes Paper 1 and Paper 2
HW2 due before class (submit via blackboard)
10 02/06 Stratis Ioannidis Learning from Comparisons Four related papers
11 02/12 Alina Oprea Towards Resilient Machine Learning in Adversarial Environments Paper and Slides HW3 Due 1pm Monday Feb 17
12 02/13 Half-term Review and discussion of your paper selections We will have a discussion of the course, this is a new course and I'd like your feedback. 2/13 office hour moved to Wed 2/12 4:30.
Try to have your paper selected (or at least an area or group) by today.
13 02/19 Cristina Nita-Rotaru Designing (byzantine-)resilient distributed systems Paper
14 02/20 Aristotelis Leventidis Query Visualization Paper on blackboard Today's office hour rescheduled to Wed 2/19 4:30-5:30.
15 02/26 Predrag Radivojac Deciphering molecular mechanisms of disease upon mutation via semi-suprvised learning Paper
16 02/27 Jon Ullman (Preventing) Overfitting in Adaptive Data Analysis Paper or more accessible blog post
Spring Break
 Presentation Advice
Example Presentation Outline
Peer Evaluation Form (doc), (pdf)
Team Self Evaluation (doc)
17 03/11 UG Research Panel Panelists Office of Undergraduate Research and Fellowships lots of information on how to get paid to do research!
Associate Dean of Students Ben Hescott -- mentioned by panelists as a good resource for connecting students to research advisors
18 03/12 Tina Eliassi-Rad Geometric and Topological Graph Analysis for Machine Learning Paper
Slides
19 03/18 Team 1: Jack, Chris, Amy, Claire (Slides) Exploiting Redundancy in Natural Language to Penetrate Bayesian Spam Filters
20 03/19 Team 2: Mitch, Caelen, David (Slides)
Team 3: Nicole, Zach (Slides) 		The Design and Implementation of Typed Scheme
Modeling and Reasoning about DOM Events
21 03/25 Team 4: Michael, Jesse, Steven, Zhizhen (Slides)
Team 5: Noble, Anthony, Kevin (Slides) 		The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning
Verifying an Open Compiler Using Multi-Language Semantics
22 03/26 Team 6: Ryan, Irem, Armon (Slides)
Team 7: Chanmin, Olivia, Rachel (Slides)
Cybersickness during VR gaming undermines game enjoyment: A mediation model
Frontier-Based RTDP: A New Approach to Solving the Robotic Adversarial Coverage Problem
23 04/01 David Lazer Fake news on Twitter during the 2016 U.S. presidential election Paper. The video is on blackboard (course material).
24 04/02 Team 8: Cyrus, Alan, Jenna (Slides)
Team 9: Derek, Matt, Noah (Slides)
 Wireless Attacks on Aircraft Instrument Landing Systems
Neural Argument Generation Augmented with Externally Retrieved Evidence
25 04/08 Debrief on Presentations: What Worked and What Didn't?
26 04/09 Amal Ahmed Compositional Compiler Verification for a Multi-Language World Paper 1 and Paper 2

Resources