Editing Intro to Programming and Data Science (Fall 2023) (section)

= Course logistics =

== Note About This Syllabus ==

Although the core expectations for this class are fixed, the details of readings and assignments may shift based on how the class goes. As a result, there are three important things to keep in mind:

# Although details on this syllabus will change, I will not change readings or assignments less than three days before they are due. If you plan to read more than three days ahead, contact me first.
# Check your email. Because this a wiki, you will be able to track every change by clicking the ''history'' button on this page. I will also summarize these changes in a announcements that will be sent via Brightspace email.
# I will ask the class for voluntary anonymous feedback frequently. Please let me know what is working and what can be improved.

== Lectures ==

Our class time will follow the "flipped" classroom model. I will provide asynchronous materials (readings, recorded lectures, assignments, etc.) which you will work on before class and we will use our class time to review concepts, identify confusion, and synthesize.

The class sessions will typically follow the same format. 

On Tuesdays, we will review the Coding Challenges that were due. Those who were assigned will explain how they solved (or didn't solve!) each problem.

On Thursdays, we will begin by discussing the reading for the day, with discussions generally led by a student. We will then have a discussion about the concepts that are still confusing. Next, we will have optional co-working time to start on the next assignment. That means that you should watch the next week's lecture before Thursday, so you are ready to go. All of the videos are [https://www.youtube.com/playlist?list=PLP6zcrJrVWgceJzuIE6k-cYr3IZJBnMJ4 in this playlist].

I try to make the classes useful and to tailor them to the needs of the students, and I highly encourage you to attend as many of our sessions as possible. My teaching style is very conversational and relies on students being willing to speak up to express confusion, seek clarification, or make a well-informed point, so please participate!

== Office hours and email ==

* I will hold office hours from 2-4 on Tuesdays and by appointment. If you come with a programming question, I will expect that you have already tried to solve it yourself in multiple ways and that you have discussed it with a classmate. This policy lets me have time to help more students, but it's also a useful strategy. Often [https://en.wikipedia.org/wiki/Rubber_duck_debugging just trying to explain your code] can help you to recognize where you've gone wrong.
* I am also available by email. You can reach me at [mailto:jdfoote@purdue.edu jdfoote@purdue.edu]. I try hard to maintain a boundary between work and home and I typically respond only on weekdays during business hours (~9-5) but during the week I will generally respond within 24 hours.