INFO 5001: Computing for Information Science
This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses and the timeline of topics and assignments might be updated throughout the semester.
| WEEK | DATE | TOPIC | PREPARE | MATERIALS | DUE |
|---|---|---|---|---|---|
| 1 | Tue, Aug 26 | Welcome to INFO 5001 | π©βπ» Login to Cornellβs GitHub server |
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| Thu, Aug 28 | Grammar of graphics | π r4ds - intro π r4ds - ch 1.1-.3, 1.7 π ims - ch 1 |
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| Fri, Aug 29 | Hello data science! | ||||
| 2 | Tue, Sep 2 | Visualizing various types of data | π ims - ch 4 π ims - ch 5 |
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| Wed, Sep 3 | HW 00 at 11:59pm | ||||
| Thu, Sep 4 | Grammar of data wrangling | π r4ds - ch 3 | |||
| Fri, Sep 5 | Data visualization | ||||
| 3 | Tue, Sep 9 | Working with relational data | π r4ds - ch 19 | ||
| Thu, Sep 11 | Tidying data | To be posted | |||
| Fri, Sep 12 | Git workflows (basics + merge conflicts) | To be posted | |||
| 4 | Tue, Sep 16 | Data types and classes | To be posted | ||
| Thu, Sep 18 | Importing and recoding data | To be posted | |||
| Fri, Sep 19 | To be posted | ||||
| 5 | Tue, Sep 23 | Databases + SQL | To be posted | ||
| Thu, Sep 25 | Getting data from the web: Scraping | To be posted | |||
| Fri, Sep 26 | Quiz 01 | To be posted | |||
| 6 | Tue, Sep 30 | Functions | To be posted | ||
| Thu, Oct 2 | Iteration | To be posted | |||
| Fri, Oct 3 | Develop project proposals | To be posted | |||
| 7 | Tue, Oct 7 | Getting data from the web: APIs | To be posted | ||
| Thu, Oct 9 | No class (out-of-town) | To be posted | |||
| Fri, Oct 10 | No class (out-of-town) | To be posted | |||
| 8 | Tue, Oct 14 | No class (Fall Break) | To be posted | ||
| Thu, Oct 16 | Rectangling data | To be posted | |||
| Fri, Oct 17 | Functions + iteration | To be posted | |||
| 9 | Tue, Oct 21 | To be posted | |||
| Thu, Oct 23 | Reproducible project-based workflows | To be posted | |||
| Fri, Oct 24 | Quiz 02 | To be posted | |||
| 10 | Tue, Oct 28 | Introduction to machine learning | To be posted | ||
| Thu, Oct 30 | Build better training data | To be posted | |||
| Fri, Oct 31 | Git workflows (branches + PRs) | To be posted | |||
| 11 | Tue, Nov 4 | Tree-based inference and hyperparameter optimization | To be posted | ||
| Thu, Nov 6 | Interactive web applications using Shiny | To be posted | |||
| Fri, Nov 7 | To be posted | ||||
| 12 | Tue, Nov 11 | An introduction to LLMs | To be posted | ||
| Thu, Nov 13 | Prompt design | To be posted | |||
| Fri, Nov 14 | To be posted | ||||
| 13 | Tue, Nov 18 | Structured data | To be posted | ||
| Thu, Nov 20 | Tool/function calling | To be posted | |||
| Fri, Nov 21 | Quiz 03 | To be posted | |||
| 14 | Tue, Nov 25 | Project peer review | To be posted | ||
| Thu, Nov 27 | No class (Thanksgiving Break) | To be posted | |||
| Fri, Nov 28 | No class (Thanksgiving Break) | To be posted | |||
| 15 | Tue, Dec 2 | Improving data communication | To be posted | ||
| Thu, Dec 4 | Wrap-up: Where to go from here | To be posted | |||
| Fri, Dec 5 | Project presentations | To be posted |