CMP 261 -- Fall 2013 -- course overview

CMP 261: Fall 2013
Course Overview

Content

Do you do modeling, run simulations, and/or have big data that need to be analyzed and visualized for verification, validation, and understanding? Do you have complex high dimensional data sets that you would like to explore in some intuitive manner? Do you have noisy, inconsistent, or missing data? Are you interested in untangling the web of your social network and find out who are your real friends? Or do you need to communicate some complex engineering, medical, scientific, etc. data to the general public, or to some decision maker who may not be well versed on the technical aspects?

CMPS 261 will cover data analysis and advanced visualization techniques. Examples will be drawn from different disciplines (e.g. bioinformatics, astrophysics, social networks, etc). Actual topics may vary with different course offerings and will depend on specific interests of students in the class.

This course will be conducted through a series of lectures, group discussions, and research paper study/presentation. There is flexibility to tailor the class to problems that the class and students are working on or are interested in. We will also use a ``case study'' approach where we try to look at a problem and propose different ways that it might be solved. Students are expected to conduct research and write a report by the end of the quarter. Such research may be part of student's other research e.g. preparation for advancement or qualifying exam.

If you are not a CS graduate student interested in this class, please contact me first at pang@cse.ucsc.edu.