🗓️ Week 03 - Control Flow, Cleaning Data in Practice
This week introduces control flow (loops and conditionals) and then puts subsetting to work cleaning real data.
| Date | Time | Format | Topic |
|---|---|---|---|
| Thu, Oct 8 | 1:30-3:05 pm | Lecture | Control Flow |
| Tue, Oct 13 | 9:50-10:55 am | DS | Practice: Control Flow |
| Tue, Oct 13 | 1:30-3:05 pm | Lecture | Cleaning data in practice |
Solve the Tuesday-morning DS on your own without generative AI, print your solutions as a PDF, and bring the printout to next Thursday’s lecture. There we discuss it on paper, pencil in hand, and each DS includes a 1-point discussion check: be ready to explain any line of your solution or predict its output without running it.
This week only: the DS 3 discussion check moves from Thu, Oct 15 to Tue, Oct 20, 1:30 pm, just before the project proposals. Bring your printout then. The Canvas upload deadline doesn’t change.
🤖 AI & Learning This Week
AI status this week: No AI.
Why: Control flow and subsetting are where you learn to trace code by hand. If you can’t say what a loop or a filter does, you can’t verify anyone else’s, human or AI.
This week:
- Trace-by-hand warm-ups in lecture: predict the output of a loop or
ifchain on paper, then run it and compare. - Cleaning data in practice: after each cleaning step, check how many rows and missing values you have. This becomes your verification habit for the project.
See the AI Use Policy for the full rules.
👨🏫 Lecture Slides
- Thu, Oct 8 (Lecture): Control Flow
- Tue, Oct 13 (DS): DS 3: Control Flow
- Tue, Oct 13 (Lecture): Cleaning Data in Practice · dataset:
field_survey.csv
💻 Hands-on: Intro to R
- Lesson 6: Control Flow —
if/else,forandwhileloops. This is the DS. - Lesson 7: Cleaning Data in Practice — practice cleaning data by subsetting.