The goal is to turn data into information, and information into insight. ---Carly Fiorina

Introduces information science. Examines how information is used to solve problems both for individuals and organizations and how information systems interface with their users. Considers the technical, economic, social, and ethical issues that arise when working with information. Discusses how to collect, manage, classify, store, encode, transmit, retrieve, and evaluate data and information with appropriate security and privacy. Storage models include lists, tables, and trees (hierarchies). Examines applications of information: visualization, presentation, categorization, decision making, and predictive modeling. Introduces key concepts in probability. Explains Bayesian analysis for information classification and modeling.

Author: Martin Schedlbauer, PhD ⏎

This course was developed by Martin Schedlbauer. Dr. Schedlbauer is a Teaching Professor at the Khoury College of Computing Sciences at Northeastern University working in their Online Campus. Martin has developed numerous courses for Khoury as well as countless commercial courses for organizations across the world and workshops at leading conferences. Dr. Schedlbauer holds PhD, MSc, and BS degrees in Computer Science from the University of Massachusetts as well as an MEd degree from Northeastern University.

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