ICS 491 and 691 Sections & Modified Courses

In order to reduce duplication and reduce the chance of inconsistencies, we have removed our own listing of ICS courses and refer you to the UH Manoa Catalog page for ICS courses.  But since each ICS 491 and 691 section is different for each instance offered, brief descriptions will be provided below. Some courses are modified from their catalog description and are listed below.

Fall 2008

(Wednesday/Friday 4:30-5:15pm, KUY 302)     

ICS 491, Section 3: Social Informatics: Technology for Collaboration & Online Communities - Prof. Suthers - CRN 78169
(Tuesday/Thursday 1:30-2:45, HOLM 248)

    Interested in recent developments in “Web 2.0,” social networking, and/or massively multiplayer online games? Whether and how thousands of people collaborating informally can produce a valuable resource such as Wikipedia?  How identity and trust are formed online? Or how new technologies might support learning and work in ways that both augment and improve on collaborating in person?
    In the first half of this course, we will survey the foundations of information and computer technologies for supporting people learning, playing and working together. In the second half, we will survey current research (the past several years) on topics chosen by class members.  Previous topics have included blogging, collaborative gaming, collaborative work, community design patterns, cultural issues, distributed and online learning, distributed work teams, identity and trust online, interaction in virtual worlds, knowledge management, mobile social computing, online communities, social networks, and wikis.
    If you are interested in the use of information and communication technologies to support people learning, working, or playing together, then enroll in ICS 491, section 3 this fall.  There is no prerequisite other than interest in reading and discussing papers in this diverse area. Contact Dan Suthers, POST 309B, 956-3890 or suthers@hawaii.edu for further information.
 

ICS 691, Section 1: TBA - Prof. Lorigo - CRN 77463
(Thursdays 1:30-4:10, GRG 215)
    Description to be added.

ICS 691, Section 2: Human Factors and Human-Computer Interaction in Space Exploration - Prof. Binsted - CRN 77811
(Online)
    Space exploration presents unique challenges for human psychology and physiology. If long-term space expeditions to Mars and permanently occupied stations on the Moon are to become reality, we must anticipate and avoid (or at least mitigate) as many of these problems as possible.
    In this course, we will read and discuss online a series of current scientific articles relating directly to this topic. Students will be expected to lead the discussion on at least one paper, and to contribute significantly to all discussions. The final grade will be based on the quality of participation (20%) and on two term papers (40% each).

ICS 691, Section 3: Advanced Computer Vision - Prof. Baek - CRN 78824
(Monday/Wednesday 9:00-10:15am, KUY 309)
    Computer vision, the study of extracting information from images and enabling machines to understand images, is a broad-based, interdisciplinary and applied field in computer science, and has generated many exciting results that increase our understanding of the complex and remarkable task of interpreting the world around us from visual information. This course will introduce fundamental problems of computer vision, core concepts and principles, and algorithms of computer vision. During the class, advanced topics on both the theory and practice in the field will also be presented via discussing recent articles published in journals and conferences.
    Upon successful completion of the course, the student should be able to:

• Understand the difficulties that the vision problem involves.
• Describe the properties of image data and solve problems about extraction of features and other quantitative information.
• Understand and implement common machine vision algorithms.
• Describe the different ways that the shape of an object can be recovered.
• Appreciate the issues involved in color, texture, and motion.
• Make a selection between candidate techniques based upon a rational critical evaluation of the requirement of a particular problem.
• Design basic vision systems.
• Read and understand more advanced topics in current research literature.