https://github.com/zmuhls/ccny-data-science

CSC 10800 R: Foundations of Data Science @ City College of NY, Fall 2024
https://github.com/zmuhls/ccny-data-science

ccny cis cultural-analytics cuny data-science digital-humanities

Last synced: about 1 month ago
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CSC 10800 R: Foundations of Data Science @ City College of NY, Fall 2024

• Host: GitHub
• URL: https://github.com/zmuhls/ccny-data-science
• Owner: zmuhls
• License: mit
• Created: 2024-08-25T00:12:35.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-11-15T16:12:50.000Z (about 1 month ago)
• Last Synced: 2024-11-15T16:38:48.202Z (about 1 month ago)
• Topics: ccny, cis, cultural-analytics, cuny, data-science, digital-humanities
• Language: Jupyter Notebook
• Homepage: https://zmuhls.github.io/ccny-data-science/
• Size: 50.5 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Foundations of Data Science

## City College of New York, CUNY

This repository serves as the course website for **CSC 10800: Foundations of Data Science** taught by [Zach Muhlbauer](https://github.com/zmuhls) at the City College of NY during Fall 2024.

### Course Details

**Section**: CSC 10800 R: Foundations of Data Science
**Dates**: Tu/Th, 3:30-4:45pm, Aug 28 - Dec 21
**Location**: Marshak Science Building, Rm 410  
**Instructor**: Zach Muhlbauer, [[email protected]](mailto:[email protected])
**Office Hours**: Wed 3-5pm over Zoom, or in person by appointment 


### Important Links

Linked below are resources and documents essential to your success in the course:

- [Website](https://zmuhls.github.io/ccny-data-science/)

- [Syllabus](https://zmuhls.github.io/ccny-data-science/syllabus/)

- [Schedule](https://zmuhls.github.io/ccny-data-science/schedule/)

- [Activities](https://zmuhls.github.io/ccny-data-science/activities/)

- [Portfolio](https://zmuhls.github.io/ccny-data-science/portfolio/)

- [Policies](https://zmuhls.github.io/ccny-data-science/policies/)

- [Technology](https://zmuhls.github.io/ccny-data-science/technology/)

- [Datasets](https://zmuhls.github.io/ccny-data-science/datasets/)

- [Notebooks](https://zmuhls.github.io/ccny-data-science/notebooks/)

- [Hypothesis Group](https://hypothes.is/groups/yKvGZkjg/csc10800-annotation-group)

## Course Description

Over the semester, students will engage with a variety of datasets—ranging from literary corpora to social networks—to develop skills in computational and inferential thinking. The course is structured around key themes such as data ethics, digital humanities, and network analysis, with practical activities and projects reinforcing these concepts. Students will learn to use essential tools like GitHub, Jupyter Notebooks, and Python libraries, enabling them to navigate and contribute to data-driven fields.

Each class session builds on previous material, with readings, coding exercises, and critical discussions that deepen students' understanding of both the technical and theoretical dimensions of data science. The course also emphasizes critical perspectives on data practices, encouraging students to interrogate the social, ethical, and cultural implications of data science in today's world.

The course schedule includes activities such as Python scripting, data visualization, and sentiment analysis, culminating in a final project where students create a social coding portfolio. By the end of the course, students will be equipped with the technical skills and critical insights necessary for advanced study in technology-aware disciplines, including digital humanities and cultural analytics.

This course does **not** satisfy degree requirements for Computer Science students, who should *not* be enrolled in this course.