In this course, students will learn the fundamental algorithmic and design principles of visualizing and exploring complex data. The course will cover multiple aspects of data presentation including human perception and design theory; algorithms for exploring patterns in data such as topic modeling, clustering, and dimensionality reduction. A wide range of statistical graphics and information visualization techniques will be covered. We will explore numerical data, relational data, temporal data, spatial data, graphs and text. Hands-on projects will be based on Python or JavaScript with D3.

This course offers a broad introduction to the forensic investigation of digital devices. We cover the preservation, recovery, harvesting, and courtroom presentation of information from file systems, operating systems, networks, database systems applications, media files, and embedded systems. The primary goal of the class is to understand why and from where information is recoverable in these systems. We also cover relevant issues from criminology, law, and the study of privacy.

Optional lab for students enrolled in NRC 197FF.

This is a hands-on course taught by a leading scholar and scientist who makes accessible and clear the highly sophisticated field of text mining and analytics for a) detecting and revealing hard-to-see patterns in unstructured textual data, such as social media conversations and online brand content, b) uncovering powerful market insights concerning customer sentiments/emotion, trends, segments and other aspects related to customer contexts, and c) identifying and monitoring online brand-communication strategies.

This course coordinates with SCANDIN 397M with expectation of class attendance and grad-level research and writing. It will explore the present political, societal and cultural situation in Sweden by highlighting current and previous phases of immigration and debates surrounding them - i.e., the relationship between the 20th century's generous Swedish welfare model and immigration to Sweden.

How have labor, social democratic and socialist movements shaped welfare in the U.S.? And how might they do so in the near future? These issues have come to the fore in the recent Presidential election campaign, and may be especially important to college-age voters. In this course we will review the sociological literature on the welfare state, with a focus on the influence of popular movements on its development. We will focus on the U.S., comparing and contrasting it with other wealthy democratic nations.

Data Mining (DM) is a new approach for analyzing data that has emerged as an important force over the last decade.

Description not available at this time

Description not available at this time

Additive Manufacturing (AM) course is designed to explore the latest developments and critical challenges of AM and provide students with in-depth knowledge of the AM processes and hands-on experiments with available 3D printing machines.