| 1 |
1/26 |
Lecture |
Read syllabus |
Course overview |
| 1/28 |
Lab (Jupyter Notebooks); Lecture |
Set up Anaconda Environment |
What are models? Why use models? |
| 2 |
2/2 |
Discussion of Guest & Martin (2021) and Jolly & Chang (2017) |
Read Guest & Martin (2021) and Jolly & Chang (2017), and submit response |
| 2/4 |
Lab (Python) |
- |
Introduction to Python |
| 3 |
2/9 |
Discussion of Wilson & Collins (2018) |
Submit Jupyter Notebook exercise 1; Read Wilson & Collins (2019), and submit response |
Best practices in modeling (linear models, nonlinear models) |
| 2/11 |
Lab (Linear models) |
- |
| 4 |
2/16 |
Discussion of Jones & Rachlin (2006) |
Read Jones & Rachlin (2006), and submit response |
| 2/18 |
Lab (Nonlinear models) |
- |
| 5 |
2/23 |
Lecture |
- |
Learning and decision-making |
| 2/25 |
Discussion of Sutton & Barto (2018) |
Read Sutton & Barto (2018) Chapter 1 (pages 1-13) and Chapter 14 (341-361), and submit response |
| 6 |
3/2 |
Lab |
Submit Jupyter Notebook exercise 2; Complete task |
Reinforcement learning (non-social) |
| 3/4 |
Lab |
- |
| 7 |
3/9 |
Lab |
- |
| 3/11 |
Lecture |
Read Lockwood et al. (2020) |
Applications to social behavior |
| 8 |
3/16 |
Discussion of Zhang et al. (2020); Final Project Discussion |
Read Zhang, Lengersdorff, et al. (2020), and submit response |
| 3/18 |
(Break) Canvas Discussion of Suzuki & O'Doherty (2020) |
Read Suzuki & O'Doherty (2020), and submit response |
Learning from and for others |
| 9 |
3/23 |
Discussion of Lindström et al. (2019) |
Read Lindström et al. (2019) and submit response |
Social learning example (Threat) |
| 3/25 |
Discussion of Lockwood et al. (2016) and Lengersdorff et al. (2020) |
Submit Jupyter Notebook exercise 3; Read Lockwood et al. (2016) and Lengersdorff et al. (2020), and submit response |
Social learning example (Prosociality) |
| 10 |
3/30 |
No Class (Spring Break) |
Begin setting up meetings with instructor regarding project proposal |
| 4/1 |
No Class (Spring Break) |
| 11 |
4/6 |
Lab |
Complete task |
| 4/8 |
Lab |
- |
| 12 |
4/13 |
Lab |
- |
| 4/15 |
Lecture |
- |
Social inference - Learning and updating beliefs about others |
| 13 |
4/20 |
Discussion of Camerer et al. (2003) and Rusch et al. (2020) |
Read Camerer et al. (2003) and Rusch et al. (2020), and submit response |
Social inference example (Theory of Mind) |
| 4/22 |
(Break) Canvas Discussion of Siegel et al. (2018) |
Read Siegel et al. (2018), and submit response |
Social inference example (Morality) |
| 14 |
4/27 |
Discussion of Chang et al. (2010) and Fareri et al. (2015) |
Submit Jupyter Notebook exercise 4; Read Chang et al. (2010) and Fareri et al. (2015), and submit response |
Social inference example (Trustworthiness) |
| 4/29 |
No Class (Shawn at Conference) |
Submit Project Proposal (Round 1) |
- |
| 15 |
5/4 |
Discussion of Tump et al. (2020) and Will et al. (2017) |
Read Tump et al. (2020) and Will et al. (2017), and submit response |
Social influence with examples (Integrating Personal and Social Information; Self-Esteem) |
| 5/6 |
Lecture; Discussion of Patzelt et al. (2018) |
Submit Annotated Bibliography; Read Patzelt et al. (2018) and submit response |
Individual differences, other topics, and future directions |
| - |
5/12 |
Final |
Submit Final Presentation and Project Proposal (Round 2) by end of day |
- |
