CSCI 104
Data Science and Computing for All Fall 2024
Division III Q Quantitative/Formal Reasoning

Class Details

Many of the world’s greatest discoveries and most consequential decisions are enabled or informed by the analysis of data from a myriad of sources. Indeed, the ability to wrangle, visualize, and draw conclusions from data is now a critical tool in the sciences, business, medicine, politics, other academic disciplines, and society as a whole. This course lays the foundations for quantifying relationships in data by exploring complementary computational, statistical, and visualization concepts. These concepts will be reinforced by lab experiences designed to teach programming and statistics skills while analyzing real-world data sets. This course will also examine the broader context and social issues surrounding data analysis, including privacy and ethics.
The Class: Format: lecture/laboratory
Limit: 30;15/lab
Expected: 30
Class#: 1006
Grading: yes pass/fail option, no fifth course option
Requirements/Evaluation: Weekly lab assignments involving programming, a project, and examinations.
Prerequisites: None; previous programming experience or statistics is not required.
Enrollment Preferences: Not open to those who have completed or are currently enrolled in a Computer Science course numbered 136 or higher. Preference given to those who have not previously taken a computer science or statistics course.
Unit Notes: Additional details about the class are available here: https://www.cs.williams.edu/~cs104. Please see the Computer Science Department website for more information on selecting an introductory computer science class: https://csci.williams.edu/
Distributions: Divison III Quantitative/Formal Reasoning
QFR Notes: This course includes regular and substantial problem sets, labs, and/or projects in which quantitative/formal reasoning skills are practiced and evaluated.

Class Grid

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