| Course Title | Course number | Days and Times | Description | Instructor | Units |
|---|---|---|---|---|---|
Foundations of Data Science |
STAT 94 / CS 94 | MWF 10:00-11:00 | Data 8 is an introductory course in data science built on three interrelated perspectives: inferential thinking, computational thinking, and real-world relevance. | Ani Adhikari | 4 |
Data Science and the Mind |
L&S 39F | Tues 1:00-3:00 pm | We will explore this question by analyzing a range of data concerning such topics as human rationality and irrationality, human memory, how objects and events are represented in the mind, and the relation of language and cognition. | Yang Xu | 2 |
Geospatial Data Explorations |
L&S 39H | Wed 3:00-5:00 pm | We will explore concepts for representing geospatial data, methods for processing and analysis, and techniques for creating compelling geovisualizations. | Patty Frontiera | 2 |
How does History Count? Reading and Writing History in the Age of Big Data |
L&S 39C | Tues 11:00-1:00 |
In this connector course, we will explore how historical data becomes historical evidence and how recent technological advances affect long-established practices, such as close attention to historical context and contingency. |
Andrej Milivojevic | 2 |
Probability and Mathematical Statistics in Data Science |
L&S 39E | Tues 3:30-5:30 pm |
In the main course, several of these results will be discovered through computer simulations but will not be proved mathematically. In this connector course we will learn how to state the results precisely and prove them. |
Ani Adhikari | 2 |
Race, Policing, and Data Science |
L&S 39D | Tues 3:00-5:00 pm |
In this class, we will review available data sources on race and policing and ask what those data have to say about current events and the types of claims, typically causal, commonly invoked in public discourse surrounding these issues. |
Justin McCrary | 2 |
