Foundations

Title

Course Number

Days and Times

Description

Instructor Units
Foundations of Data Science

CS/ INFO/ STAT C8

CCN: 42193

MWF 10-11

Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world data sets.

John DeNero and David Wagner 4

Connectors

Title

Course number

Days and Times

Description

Instructor

Units

Data Science for Smart Cities

CIVENG 88

CCN: 42535

Mon 12-2

Design and operation of smart, efficient, and resilient cities nowadays require data science skills. This course provides an introduction to working with data generated within transportation systems, power grids, communication networks, as well as collected via crowd-sensing and remote sensing technologies.

Alexei Pozdnukhov 2
Data Science and the Mind

COGSCI 88

CCN: 22686

Tue 
2-4

How does the human mind work? We 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.

TBD 2
Computational Structures in Data Science CS 88 TBD

Expands upon computer science topics covered in Foundations Data Science (Data 8), and provides an understanding of the structures that underlie the programs, algorithms, and languages used in data science and other settings.

TBD 2
Immigration: What Do the Data Tell Us? DEMOG 88

CCN:47021
Tue 
10-12

This course will cover the small but important part of the rich history human migration that deals with the population of the United States--focusing on the period between 1850 and the present. Enrollment in Demog 88 will open shortly, probably early in August. Please contact the instructor cmason@berkeley;edu for updates.

Carl Mason 2
Social Networks

L&S 88-1

CCN: 46819

Mon 12-2

Insights from the study of social networks are used in a wide range of real-world settings, ranging from predicting and preventing the spread of Ebola, to convincing people to vote for a political candidate, to connecting people across the globe through Facebook. Learn how to work with social network data and why it’s useful.

Dennis Feehan 2
Web Data Visualization L&S 88-2
CCN: 46820

Tue
12-2

Learn how to generate effective visualizations for Web data (e.g., social networks). The course covers basic principles and tools for understanding and visualizing Web data. It focuses heavily on project work that aims to give students hands-on experience with handling Web data.

TBD 2
Data Science for Cognitive Neuroscience

L&S 88-3

CCN: 46821

Mon 
4-6

The human brain is a complex information processing system and is currently the topic of multiple fascinating branches of research. Understanding how it works is a very challenging scientific task.

TBD 2
Behind the Curtain in Economic Development

L&S 88-4

M 2-4, 105 Cory

This class will look at methods in sampling, surveying, and data collection. The students will use their data analysis tools to start to look at questions about household behavior and how households are situated in local, regional and national contexts.

Eric VanDusen 2
Rediscovering Texts as Data

L&S 88-5

M 4-6, 458 Evans

In this course, we will help you find and explore newly available texts of interest to you and guide your understanding of textual phenomena obtained through computational methods, enriching your reading of an individual text. As a connector course to Data 8 (Foundations of Data Science), this class will give students experience in the Python programming language.

Chris Hench
Claudia von Vacano
2
Probability and Mathematical Statistics in Data Science

STAT 88 

CCN: 22288

Mon 
2-4

In this connector course we will state precisely and prove results discovered in the foundational data science course through working with data.

Shobhana Murali Stoyanov 2

Courses with Data 8 as prerequisite

Title

Course Number

Days and TImes

Description

Instructor Units
Principles and Techniques of Data Science

CS C100 / Stat C100

CCN: 45085

Tue-Th 11-12:30

Combining data, computation, and inferential thinking, data science is redefining how people and organizations solve challenging problems and understand the world.

Deborah NolanJoseph Gonzalez 4