Weekly Course Schedule – Fall 2023

IS430 B-Section - Foundations of Information Processing

Meets Thursday Evening Online

Week 11 (October 30 – November 5)

Thursday, November 2 (5:00 P.M. – 7:00 P.M., Zoom) Class Session 11
Topics	Review solutions to prior week's coding assignments Jupyter Notebooks
Required Readings	Driscoll, M. (n.d.) Jupyter Notebook: An Introduction. Real Python. Rule A, Birmingham A, Zuniga C, Altintas I, Huang S-C, Knight R, et al. (2019) Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks. PLoS Comput Biol 15(7): e1007007.
Required Recordings	LinkedIn Learning Course -- Python Tools: Jupyter vs PyCharm This short video course provides a quick orientation that will help you understand the relationship between PyCharm and Jupyter. Be aware that it does discuss some features that we do not cover in our introductory course: debugger, version control, and profiling. These are short sections that are probably worth listening to anyway.
Other Resources	Cone, M. (2021). The Markdown Guide Grus, J. (2018). I don't like notebooks. Presentation at O'Reilly JupyterCon. YouTube.

Sunday, November 5 (11:00 A.M. – 12:00 P.M., Zoom) Optional Session
Lab Session	On Sunday mornings from 11:00 AM till 12:00 PM, I will be holding an optional Lab Session using Zoom. Please drop by to ask a question, to discuss solutions to previous assignments, to get help with the current assignment, to discuss the final project, or just to say hello. Please use a headset while participating.

Sunday, November 5, @ 11:55 P.M.
Weekly Assignments Deadline

Coding Assignments Due

Jupyter Notebook Assignment
Description: Please see the Instructions document below for assignment details.
Submit to: Jupyter Notebook Assignment