Syllabus and Logistics

Syllabus

22530005

  • Week 01/Lecture 01 (09.08): Introduction & Logistics
  • Week 02/Lecture 02 (09.15): Affordance, Functionality, and HOIs (Part 1)
  • Week 03/Lecture 03 (09.22): Affordance, Functionality, and HOIs (Part 2)
  • Week 04/Lecture 04 (09.29): Intuitive Physics
  • Week 05: National Holidays
  • Week 06/Lecture 05 (10.13): Course Project Intro
  • Week 07/Lecture 06 (10.20): Causality
  • Week 08/Lecture 07 (10.27): Tool, Mirroring, and Imitation (Part 1)
  • Week 09/Lecture 08 (11.03): Tool, Mirroring, and Imitation (Part 2)
  • Week 10/Paper Presentation 1: Physical Commonsense (11.10) (Attendance Required)
  • Week 11/Midterm/Course Project Team Up (11.17)
  • Week 12/Lecture 08 (11.24): Intro to Social Commonsense
  • Week 13/Lecture 09 (12.01): Theory of Mind, Guest Lecture by Jiayu Zhan (Attendance Bonus)
  • Week 14/Lecture 10 (12.08): Communication, Guest Lecture by Qian Wang (Attendance Bonus)
  • Week 15/Lecture 11 (12.15): Abstract Reasoning, Guest Lecture by Chi Zhang (Attendance Bonus)
  • Week 16/Paper Presentation 2 (12.22): Social Commonsense and Advanced Topics (Attendance Required)
  • Week 19 (01.12): Project Report Due (Hard DDL)

04835070

  • Week 01/Lecture 01 (09.09): Introduction & Logistics
  • Week 01/Lecture 02 (09.11): Introduction & Affordance, Functionality, and HOIs (Part 1)
  • Week 02/Lecture 03 (09.18): Affordance, Functionality, and HOIs (Part 2)
  • Week 03/Lecture 04 (09.23): Affordance, Functionality, and HOIs (Part 3)
  • Week 03/Lecture 05 (09.25): Affordance, Functionality, and HOIs (Part 4)
  • Week 04: National Holidays
  • Week 05 (10.07): National Holidays
  • Week 05/Lecture 06 (10.09): Course Project Intro
  • Week 06/Lecture 07 (10.16): Intuitive Physics (Part 1)
  • Week 07/Lecture 08 (10.21): Intuitive Physics (Part 2) & Causality (Part 1)
  • Week 07/Lecture 09 (10.23): Causality (Part 2)
  • Week 08/Lecture 10 (10.30): Tool, Mirroring, and Imitation (Part 1)
  • Week 09/Lecture 11 (11.04): Tool, Mirroring, and Imitation (Part 2)
  • Week 09/Lecture 12 (11.06): Tool, Mirroring, and Imitation (Part 3)
  • Week 10/Midterm/Course Project Team Up (11.13)
  • Week 11/Lecture 11 (11.18): Intro to Social Commonsense
  • Week 11/Lecture 12 (11.20): Theory of Mind, Guest Lecture by Jiayu Zhan (Attendance Bonus)
  • Week 12/Lecture 13 (11.27): Communication, Guest Lecture by Qian Wang (Attendance Bonus)
  • Week 13 (12.02): Game (Attendance Bonus)
  • Week 13/Lecture 14 (12.04): Abstract Reasoning, Guest Lecture by Chi Zhang (Attendance Bonus)
  • Week 14/Lecture 15 (12.11): XAI, Guest Lecture by Zilong Zheng (Attendance Bonus)
  • Week 15 (12.16): Project Pre 1 (Attendance Required)
  • Week 15 (12.18): Project Pre 2 (Attendance Required)
  • Week 16 (12.25): Project Pre 3 (Attendance Required)
  • Week 19 (01.12): Project Report Due (Hard DDL)

Grading

22530005

  • required attendance: 10%
  • midterm: 10%
  • 4 labs (out of 6): 20%
  • 5 quiz: 10%
  • paper presentation (in English): 15%
  • project report (in English and LaTeX): 35%

04835070

  • required attendance: 10%
  • midterm: 10%
  • 4 labs (out of 6): 30%
  • 10 quiz: 15%
  • project report (in English and LaTeX): 35%

Project Report

  • team: 4-5 students
  • duration: the entire semester
  • topic: choose one listed on the project page (see also the instructions); topics are exclusive among teams; reserve online
  • delivery:
    1. technical report in English in top conference quality that includes
    • insights of the problem
    • related work / literature review
    • major components of the systems of algorithms
    • technical details, e.g., learning, training, parameters
    • experimental results
    1. publicly available code, e.g., on GitHub

Paper Presentation (22530005 only)

  • team: 4-5 students
  • duration: up to the presentation session
  • topic: choose papers listed in one of the 10 topics and additional papers at your own choice
  • note: no need to cover all the listed papers, but need to convey a coherent message during the presentation
  • delivery: presentation, in English
Next