Course Assignments
Course Assignments¶
Attendance (5 points)
Class Contributions (70 points)
13 Reading Responses (5 points each; 65 total)
1 Article Presentation (50 points)
4 Jupyter Notebook Exercises (25 points for #1-3, 30 points for #4; 105 total)
2 Project Proposals (25 points for Round 1, 75 points for Round 2)
1 Annotated Bibliography (25 points)
1 Project Presentation (80 points)
Due Date |
Assignments |
Description |
Points out of 500 |
Course Goals |
Other Goals |
|---|---|---|---|---|---|
- |
Attendance |
Students will be deducted .04% of their final grade for each unexcused absence |
5 |
(1) learn what, why, and how, (2) survey selected topics |
preparing for class, organizing schedule |
- |
Class Contributions (Participation) |
Students can contribute to class sessions by: asking questions, answering questions, adding comments, thoughts, or opinions to the discussion, helping classmates, offering ideas or suggestions, etc. |
70 |
(2) survey selected topics, (4) work collaboratively to “fit” models to data |
communicating ideas, preparing for class, critical thinking |
- |
Article Presentation |
Students will sign up to present one research article and lead the class discussion |
50 |
(1) learn what, why, and how, (2) survey selected topics, (5) interpret results |
reading and presenting research articles, preparing discussion questions |
2/2 |
Reading Response |
Students will submit a 1-page response to the reading(s) |
5 |
(1) learn what, why, and how, (2) survey selected topics, (5) interpret results |
reading and presenting research articles, preparing for class, critical thinking, preparing discussion questions |
2/9 |
Jupyter Notebook Exercise 1 |
Students will complete a coding exercise on model fitting |
25 |
(3) write code for data science, (4) work collaboratively to “fit” models to data, (6) gain richer understanding of computational models |
problem solving through coding, developing algorithmic critical thinking, working with others on projects |
2/9 |
Reading Response |
Students will submit a 1-page response to the reading(s) |
5 |
(1) learn what, why, and how, (2) survey selected topics, (5) interpret results |
reading and presenting research articles, preparing for class, critical thinking, preparing discussion questions |
2/16 |
Reading Response |
Students will submit a 1-page response to the reading(s) |
5 |
(1) learn what, why, and how, (2) survey selected topics, (5) interpret results |
reading and presenting research articles, preparing for class, critical thinking, preparing discussion questions |
2/25 |
Reading Response |
Students will submit a 1-page response to the reading(s) |
5 |
(1) learn what, why, and how, (2) survey selected topics, (5) interpret results |
reading and presenting research articles, preparing for class, critical thinking, preparing discussion questions |
3/2 |
Jupyter Notebook Exercise 2 |
Students will complete a coding exercise on non-social reinforcement learning |
25 |
(3) write code for data science, (4) work collaboratively to “fit” models to data, (6) gain richer understanding of computational models |
problem solving through coding, developing algorithmic critical thinking, working with others on projects |
3/16 |
Reading Response |
Students will submit a 1-page response to the reading(s) |
5 |
(1) learn what, why, and how, (2) survey selected topics, (5) interpret results |
reading and presenting research articles, preparing for class, critical thinking, preparing discussion questions |
3/18 |
Reading Response |
Students will submit a 1-page response to the reading(s) |
5 |
(1) learn what, why, and how, (2) survey selected topics, (5) interpret results |
reading and presenting research articles, preparing for class, critical thinking, preparing discussion questions |
3/23 |
Reading Response |
Students will submit a 1-page response to the reading(s) |
5 |
(1) learn what, why, and how, (2) survey selected topics, (5) interpret results |
reading and presenting research articles, preparing for class, critical thinking, preparing discussion questions |
3/25 |
Reading Response |
Students will submit a 1-page response to the reading(s) |
5 |
(1) learn what, why, and how, (2) survey selected topics, (5) interpret results |
reading and presenting research articles, preparing for class, critical thinking, preparing discussion questions |
3/25 |
Jupyter Notebook Exercise 3 |
Students will complete a coding exercise on social reinforcement learning |
25 |
(3) write code for data science, (4) work collaboratively to “fit” models to data, (6) gain richer understanding of computational models |
problem solving through coding, developing algorithmic critical thinking, working with others on projects |
4/20 |
Reading Response |
Students will submit a 1-page response to the reading(s) |
5 |
(1) learn what, why, and how, (2) survey selected topics, (5) interpret results |
reading and presenting research articles, preparing for class, critical thinking, preparing discussion questions |
4/22 |
Reading Response |
Students will submit a 1-page response to the reading(s) |
5 |
(1) learn what, why, and how, (2) survey selected topics, (5) interpret results |
reading and presenting research articles, preparing for class, critical thinking, preparing discussion questions |
4/27 |
Jupyter Notebook Exercise 4 |
Students will complete a coding exercise on social inference |
30 |
(3) write code for data science, (4) work collaboratively to “fit” models to data, (6) gain richer understanding of computational models |
problem solving through coding, developing algorithmic critical thinking, working with others on projects |
4/27 |
Reading Response |
Students will submit a 1-page response to the reading(s) |
5 |
(1) learn what, why, and how, (2) survey selected topics, (5) interpret results |
reading and presenting research articles, preparing for class, critical thinking, preparing discussion questions |
4/29 |
Project Proposal - Round 1 |
Students will submit a 250-300 word abstract describing their interests and set up a meeting with Shawn to determine a final project idea |
25 |
(1) learn what, why, and how, (2) survey selected topics, (6) gain richer understanding of computational models |
synthesizing research study ideas, receiving feedback |
5/4 |
Reading Response |
Students will submit a 1-page response to the reading(s) |
5 |
(1) learn what, why, and how, (2) survey selected topics, (5) interpret results |
reading and presenting research articles, preparing for class, critical thinking, preparing discussion questions |
5/6 |
Annotated Bibliography |
Students will choose 7-10 research articles and summarize their behavioral methods, findings, and relevance to final project |
25 |
(1) learn what, why, and how, (2) survey selected topics, (5) interpret results, (6) gain richer understanding of computational models |
summarizing research articles |
5/6 |
Reading Response |
Students will submit a 1-page response to the reading(s) |
5 |
(1) learn what, why, and how, (2) survey selected topics, (5) interpret results |
reading and presenting research articles, preparing for class, critical thinking, preparing discussion questions |
5/12 |
Project Proposal - Round 2 |
Students will submit a 2 page project proposal (NSF GRFP format) on a hypothetical research study |
75 |
(1) learn what, why, and how, (2) survey selected topics, (6) gain richer understanding of computational models |
synthesizing research study ideas and writing a NSF GRFP style research proposal, incorporating feedback |
5/12 |
Project Presentation |
Students will present their project proposal on a hypothetical research study to the class |
80 |
(1) learn what, why, and how, (2) survey selected topics, (6) gain richer understanding of computational models |
presenting new ideas in the context of established studies, preparing discussion questions, answering questions, incorporating feedback |