Instructor: Jonathan Samir Matthis¶
Course Dates: 06 Jan 2025 - 15 April 2025 Course Time: Mon/Weds 2:50-4:30 Course Location: (on canvas)
Course Materials and Resources¶
- Discord Server: (Invite on Canvas)
- Canvas page - https://
northeastern .instructure .com /courses /201323 - Youtube playlist - https://
www .youtube .com /playlist ?list = PLWxH2Ov17q5HDfMBJxD _cE1lowM1cr _BV - Course website: [TBA]
Schedule Overview¶
Date (Monday) | Week | Lecture (Mon) | Lab (Weds) | Assignment (Due 11:59pm Sunday) |
---|---|---|---|---|
06 Jan 2025 | Week 1 | Intro/Setup | HMN Overview | 0 - Introduction /chat |
13 Jan 2025 | Week 2 | Library Resources Presentation | Topic Planning | 1 - Choosing a Topic |
20 Jan 2025 | Week 3 | MLK DAY | Group thing w/ bot | Poster Proposal #1 Due |
27 Jan 2025 | Week 4 | Intro to Measurement | FreeMoCap In Class Rec | No assignment |
03 Feb 2025 | Week 5 | Look at Balance Data | Look at Jumping data | No assignment |
10 Feb 2025 | Week 6 | Scientific Psters and Spinal CPGS | Paper state space activity | No assignment |
17 Feb 2025 | Week 7 | PRESIDENT DAY | Poster Outline activity | No assignment |
24 Feb 2025 | Week 8 | Vision and Eyeballs | AI/Bot check-in | No assignmnet |
03 Mar 2025 | Week 9 | SPRING BREAK | SPRING BREAK | SPRING BREAK |
10 Mar 2025 | Week 10 | Eye tracking Demo | Bees, Ants, & Dragonflies | Midterm chat & Poster Outline Due |
17 Mar 2025 | Week 11 | Eye Tracking data | ? Gap filling (Neurons) | Full Poster Draft Due! |
24 Mar 2025 | Week 12 | ? Poster Prep (UPLOAD) | Evolution | Upload Poster by TUES MARCH 25 |
31 Mar 2025 | Week 13 | ? ans & ptsd | ? Poster practice | No assignment |
07 Apr 2025 | Week 14 | POSTER PRESENTATION DAY 1 | POSTER PRESENTATION DAY 2 | Poster Presentation! |
14 Apr 2025 | Week 15 | My dumb bs | Wrap up/Retrospective | Goodbye Outro /chat |
Course Description¶
Students will explore the neural basis of natural human behavior in real-world contexts (e.g., [[sports]], [[dance]], or [[everyday-activities]]) by investigating [[biomechanics]] and [[neuroscience]] of [[human-movement]]. The course will cover [[philosophical]], [[technological]], and [[scientific]] aspects related to the study of [[natural-behavior]] while emphasizing hands-on, project-based learning. Students will use [[free-open-source-software]], and [[artificial-intelligence]],[[machine-learning]] and [[computer-vision]] driven tools and methods to record human movement in unconstrained environments.
The course promotes interdisciplinary collaboration and introduces modern techniques for decentralized [[project-management]], [[AI-assisted-research-techniques]], and [[Python]]-based programming (No prior programming experience is required). Students will receive training in the use of AI technology for project management and research conduct, including [[literature-review]], [[data-analysis]], [[data-visualization]], and [[presentation-of-results]]. Through experiential learning, students will develop valuable skills in planning and executing technology-driven research projects while examining the impact of structural inequities on scientific inquiry.
Course Objectives¶
- Gain exposure to key concepts related to neural control of human movement.
- Apply interdisciplinary approaches when collaborating on complex problems.
- Develop a basic understanding of machine-learning tools for recording human movements.
- Contribute effectively within a team setting towards achieving common goals.
- Acquire valuable skills in data analysis or background research.
Learning Outcomes¶
Design and conduct a research project¶
- Develop a research plan
- Conduct a literature review
- Compile, analyze, and interpret empirical results
- Present research to a group
Assignments¶
Poster Assignment¶
At the end of the semester, you will present (individually or with a group, depending on your preference) a poster at a Symposium event designed to mimic a poster presentation session at a scientific conference. This Symposium will be attended by all 10+ sections of Biol2299 - It’s super fun! Your poster assignment is the Big Assignment for this course, but don’t worry about it. You’ll be fine :)
Other Assignments¶
There will also be a number of relatively casual assignments throughout the semester that will be explained as they come up.
These assignments will be all be mechanical/checkboxy in nature, i.e. “Have a chat with the bot in #XYZ channel for at
least n
messages” or “Have at least X
citations logged in your Zotero bibliography” etc.