University Studies 3
Freshman Seminar:
Applications in Computer Science
Winter 2003

Course Goals and Description

The seminar series is designed for freshman either majoring in ICS or interested in finding out what computer science is all about,  although it is open to any UCI undergraduate who wishes to enroll. The goal of the course is to introduce students to some of the diverse areas in which computing is having a significant impact. The class will feature a different guest each week, from industry or academia, who works in some area to which ideas from computer science and information technology are applied.

The freshman seminar will be immediately preceded by a lecture on the same topic in ICS 80 (also called Applications in Computer Science), and students are encouraged to attend that course as well, either by audit or enrollment.

Course Requirements

Class attendance is required. In addition, there will be a short paper due at the end of the quarter on one of the topics covered during the quarter.

Schedule

The following schedule is tentative and subject to change. Check back at the course web page for updates.

Date Guest Affiliation Topic
January 3 Prof. Debra Richardson ICS, UC Irvine Introduction
January 10 Prof. Rick Lathrop ICS, UC Irvine Computational Biology
January 17 Cathy Blake ICS, UC Irvine Medial Informatics
January 24 Dave Bernick Hewlett-Packard Software Engineering
January 31 Joshua O Madadhain ICS, UC Irvine Data Mining
February 7 Wendell Miller Boeing & Quickstar/Wendellen, inc.
eCommerce: High Tech with High Touch 
February 14 Katherine Milton Arizona State University
 Cybersociology: formation of leadership in chat-based communities
February 21 Celia Pearce Cal-(IT)2, UC Irvine
Social Collaboration and fan culture within gaming communities
February 28 Farshad Farhand Webtrends/Mediasoft Application Development / Workflow Process Automation
March 7 Robert Moskovits MovieFlix.com Successful .com (watch movies on line)
March 14 Amelia Regan Institute for Transportation Studies, UC Irvine Optimization for Transportation