Fall 2025 DS2020: Syllabus

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.title[
# Fall 2025 DS2020: Syllabus
]
.author[
### Will Ju
]

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# Overview

- Instructor and TA Info
- Topics Covered
- Course Structure and Evaluation
- Final Project

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# Instructor and TA Info

- Will Ju: `wju@iastate.edu`
- Craig Orman: `cworman@iastate.edu`

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# Topics Covered

- `R`
- Exploratory Data Analysis (EDA)
- Data Manipulation
  - Data Cleaning
  - Data Transformation
  - `filter`/`join`/`group_by`/`arrange`
- Data Visualization
  - `ggplot2`
- Collaborative Environment and Tools
  - `git` and `GitHub`
- Making Reproducible Report
  - `R Markdown`
- Data Acquisition
  - Web Scraping Techniques

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# at the end of the course you will...

- be able to acquire and read data in different formats and from different sources
- know the basic programming principles of R
- be able to implement a basic data pipeline
- be able to do a data exploration
- visualize data in appropriate forms
- communicate your findings in a reproducible form as report and/or web-app

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# Course Structure and Evaluation

- Course Website: [https://ds202-at-isu.github.io/](https://ds202-at-isu.github.io/)
- Canvas
  - Announcements
  - Assignments and grading

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# Course Structure and Evaluation

| Component | Weight |
|:-- | --:|
| Homework (5-6) | 20% |
| Labs (3-4) | 25% |
| Midterm (1) | 25% |
| **Final Project** | |
|   report | 22.5% |
|   presentation | 7.5% |

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# Labs

- During class time on every other Wednesday (starting with Wednesday, Sep 17th)
- You will be partnered (randomly) in groups of 3 to 4
- Lab assignments are designed to be finished during class time, but ‘finishing touches’ can be applied until the following Monday, 11:59 pm.
- If you cannot attend the lab, please let me know beforehand. Nevertheless, you are expected to do the work!

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# Homework Assignments

- In weeks without a lab, a homework is posted.
- Homework assignments revise what we covered, plus synthesize some new information.
- Plan to spend about 3-4h on each assignment.

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# Midterm

- In-class programming exam.
- Open book, open note, open internet
- No direct help from anyone else
- Tentatively scheduled for Oct 29
- Sample exams will be posted as we get closer to the date.

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# Final Project

- [A good example from previous semester](https://github.com/BraedenCollings/Final-Project-DS202)
- Group Project
  - Max: 4 students
- Use real-world datasets
- Final Presentation
- Final Report

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# Attendance

There will be a substantial amount of time devoted to ‘hands-on’ examples on the computers. Make use of that time!

If you have to miss class, please

- Let me know ahead of time.
- Make sure to catch up with the material (e.g. have a designated note taker, talk to one of your team members, … )