DSC 531 Practicum In Data-Enabled Research Into Human Behavior And Its Cognitive and Neural Mechanisms
Spring of 2017
In this interdisciplinary project course, graduate students will work in mixed teams to develop an artifact that addresses a research question and/or infrastructure need in the intersection of cognitive science and artificial intelligence. Students will learn principles of design by participating in the stages of brainstorming, specification, initial design, prototyping, refinement, and evaluation. The artifacts created by this course could include online showcases, demonstrations, tutorials, blogs, scientific papers, and software components to support further research. The course is required for students supported by the BCS/CS NRT graduate training grant, and should be taken the semester after the corresponding methods course.
Monday/Wednesday 10:25-11:40am, Meloria 269
Instructor: M. Ehsan Hoque
Project Teams: Diagnostic of Aphasic Patients, Rochester (DOAP ROC), Multimodal Speech Recognition (MSR)
Schedule:
|
Date |
Agenda |
Supplemental materials |
|
1/18/2017 |
Intro |
|
|
1/23/2017 |
Team formation |
|
|
1/25/2017 |
Rough proposal draft |
|
|
1/30/2017 |
Full project proposal is due |
|
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2/1/2017 |
Discussion leader: Wednesday, Sudanshu. Slides |
|
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2/6/2017 |
Working session |
|
|
2/8/2017 |
Discussion leader: Sam, Nate. Slides |
Neural Module Networks, Project websites goes live |
|
2/13/2017 |
Working session |
|
|
2/15/2017 |
Discussion leader: Shaorong, Parker. Slides |
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2/20/2017 |
Working session |
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2/22/2017 |
Discussion leader: Priyanka, Meng, Weilun. Slides |
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2/27/2017 |
Working session |
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3/1/2017 |
Discussion leader: Carol, Brian. Slides |
Angur: Mining Human Behaviors from Fiction to Power Interactive Systems |
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3/6/2017 |
Working session |
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3/8/2017 |
Mid-semester presentation |
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|
3/13/2017 |
Spring break |
|
|
3/15/2017 |
Spring break |
|
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3/20/2017 |
Working session |
|
|
3/22/2017 |
Discussion leader: Ben, Natalia. Slides |
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3/27/2017 |
Working session |
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3/29/2017 |
Discussion leader: Sudhanshu, Priyanka. Slides |
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4/3/2017 |
Working session |
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4/5/2017 |
Discussion leader: Nate, Carol. Slides |
Decomposing Motion and Content for Natural Video Sequence Prediction Examples |
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4/10/2017 |
Working session |
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4/12/2017 |
Discussion leader: Parker, Ben, Meng. Slides |
Performance-optimized hierarchical models predict neural responses in higher visual cortex |
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4/17/2017 |
Working session |
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4/19/2017 |
Discussion leader: Weilun, Shaorong, Slides |
Inferring Human Intent from Video by Sampling Hierarchical Plans |
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4/24/2017 |
Working session |
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4/26/2017 |
Discussion leader: Sam, Natalia, Brian, Slides |
Adapting Deep Network Features to Capture Psychological Representations |
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5/1/2017 |
Final project presentations |
Final paper is due, video is due |
|
5/3/2017 |
Poster presentation, networking |
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Grading:
Attendance + class participation: 25%
Paper presentations: 25%
Final project: 50%