Assignments¶

NEU466G, Dr. Harris · Class documents

Overview¶

This page describes each graded assignment. The schedule says which week each one belongs to. Every assignment is turned in on Canvas. Unless an assignment says otherwise, it is due by 11:59 PM on the Sunday before class.

There is no final exam.

Late work. Each day late costs 10% of the assignment's points, for up to one week. After one week the assignment is not accepted and gets a zero. Attendance uploads cannot be turned in late.

One-day extension. Once during the term, you may take a one-day extension on an assignment, with no late penalty. Only the professor can approve an extension, so ask before the due date.

AI tools. You may use AI tools for some of your work outside class, as the syllabus on Canvas explains. You may not use AI tools for in-class work or for quizzes.

Self-introduction¶

What to submit. A written paragraph of at most 500 words, in full sentences. Answer these questions:

1. What is your name and preferred nickname, and where are you from?
2. Why are you taking this class?
3. What other neuroscience, psychology, engineering, math and statistics, or other courses have you taken, and how have they prepared you for this one?
4. What experience do you have in science writing? Do you like to write? Where do you find your writing difficult?
5. What would you like to learn from this course?
6. How do you learn best, and what kind of material is hardest for you to learn?
7. What are your long-term career goals?
8. What do you do for fun, and what else is special about you?

When. Due before the Week 2 class.

How it is graded. On grammar, full sentences, and how complete and organized your answers are.

Submit on Canvas as a text entry or a file upload.

Skill self-assessment¶

What to submit. A short self-assessment of your PyReconstruct and lab skills after Modules 1 to 3. The questions are on Canvas.

When. Week 6.

Weekly discussion questions¶

What to submit. One question about that week's topic that the class can cover in the in-class discussion. It can be something you are confused about and need explained, or something you are curious about. The questions also tell the teaching team where students are struggling, so do not hold back.

When. Before class, after you read the assigned papers, each week that has a reading.

How it is graded. Canvas lists the points. The teaching team reads every question.

Submit on Canvas as a text entry.

Weekly attendance and data management¶

Every week, before you leave class, save your series and upload your .jser file on Canvas. The upload shows you were in class, and it keeps a copy of your work. It is not accepted after the submission closes.

Weekly in-class quizzes¶

Most weeks have a short quiz on Canvas, taken in class. It covers the lecture and the readings. You may not use AI tools during a quiz.

Lab reports¶

You write one lab report for each of Modules 1, 2 and 3, and one on the data curation in the class project.

What a lab report holds.

• Literature: what the papers for the module say about the structures you reconstructed, with citations.
• Results: what you traced and measured, and what you found.
• Figures: one or more figures with legends, made from your own reconstructions.

Figures. Use the figure legend tips for every legend. The teaching team grades each figure on its title, the panel descriptions, the structures and colors identified, the scales, and the data graph. You can revise your figures for the final lab report.

Submit on Canvas as a file upload.

Student-led paper discussion¶

In Week 8, students lead the class discussion of a research paper.

Oral presentation¶

In Week 14, each project group presents its part of the class research project. Each group is given its figure in Week 13.

Final lab report¶

Your own written report on the class research project, due in Week 14. The rubric is handed out in Week 12. Final lab report has writing tips.

Submit on Canvas as a file upload.