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86 changes: 86 additions & 0 deletions Gemfile.lock
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GEM
remote: https://rubygems.org/
specs:
addressable (2.8.7)
public_suffix (>= 2.0.2, < 7.0)
colorator (1.1.0)
concurrent-ruby (1.3.4)
em-websocket (0.5.3)
eventmachine (>= 0.12.9)
http_parser.rb (~> 0)
eventmachine (1.2.7)
ffi (1.17.0-arm64-darwin)
ffi (1.17.0-x86_64-darwin)
forwardable-extended (2.6.0)
google-protobuf (3.23.4)
http_parser.rb (0.8.0)
i18n (1.14.5)
concurrent-ruby (~> 1.0)
jekyll (4.3.3)
addressable (~> 2.4)
colorator (~> 1.0)
em-websocket (~> 0.5)
i18n (~> 1.0)
jekyll-sass-converter (>= 2.0, < 4.0)
jekyll-watch (~> 2.0)
kramdown (~> 2.3, >= 2.3.1)
kramdown-parser-gfm (~> 1.0)
liquid (~> 4.0)
mercenary (>= 0.3.6, < 0.5)
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rouge (>= 3.0, < 5.0)
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jekyll (>= 3.7, < 5.0)
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just-the-docs (0.7.0)
jekyll (>= 3.8.5)
jekyll-include-cache
jekyll-seo-tag (>= 2.0)
rake (>= 12.3.1)
kramdown (2.4.0)
rexml
kramdown-parser-gfm (1.1.0)
kramdown (~> 2.0)
liquid (4.0.4)
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rb-fsevent (~> 0.10, >= 0.10.3)
rb-inotify (~> 0.9, >= 0.9.10)
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strscan
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PLATFORMS
universal-darwin-23

DEPENDENCIES
jekyll (~> 4.3.3)
just-the-docs

BUNDLED WITH
2.5.17
32 changes: 32 additions & 0 deletions index.md
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---
title: Home
layout: default
nav_order: 01
---

# CSC 10800: Foundations of Data Science

### Fall 2024, City College of New York, CUNY

Welcome to the course website for **CSC 10800: Foundations of Data Science** at the City College of New York, Fall 2024, taught by [Zach Muhlbauer](https://github.com/zmuhls). This site serves as your central hub for all course-related materials, assignments, and updates. Here, you'll find everything you need to succeed in the course, including seminar slides, reading assignments,coding activities, public datasets, project guidelines, and supplementary resources.

Throughout the semester, we will explore foundational concepts in data science, blending technical skills with critical-cultural perspectives. You'll engage with both theoretical and practical elements of data science, applying what you learn through hands-on projects and collaborative activities. Our course is designed to help you build an experiential understanding of data science principles while also critically examining the societal impacts of data-driven technologies.

### Section Details 📌

**Section**: CSC 10800 (LEC): Foundations of Data Science<br />**Dates**: Tue/Thu, 3:30-4:45pm, Aug 28 - Dec 21<br />**Location**: Marshak Science Building, Rm 410 <br />**Instructor**: Zach Muhlbauer,[zmuhlbauer@gc.cuny.edu](mailto:zmuhlbauer@gc.cuny.edu)<br />**Office Hours**: Wed 1-3pm over Zoom, or in person by appointment

### Important Links 🔗

Linked below are key pages and resources throughout the course:

- [Website](https://ccny-data-science.github.io)
- [Syllabus](/Syllabus)
- [Schedule](/Schedule)
- [Activities](/Activities)
- [Policies](/Policies)
- [Technology](/Technology)
- [Datasets](/Datasets)
- [Slides](/Slides)
- [Reading Group](https://hypothes.is/groups/yKvGZkjg/csc10800-annotation-group)
- [Additional Resources](/additional_resources)
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