Dr. Chuck Tappert Survey Monkey
Dr. Sung-Hyuk Cha
Course Description: The Emerging Information Technologies two-semester course sequence presents a variety of topics not fully covered in the other DPS course material. This semester we will focus on dissertation-related data, and how it is obtained, analyzed, and reported. Dr. Cha's presentation slides and related material are on Blackboard.
Textbooks: none this semester
Other recommended but not required books
Three evaluation reports: 2-4 page reports that critique the presentation and associated topic material. This can include the main instructor presentations and the guest presentations, together with their associated readings or other material. The instructor topics include: decision trees, association rules and Bayesian learning, clustering, proximity measures, and other topics. For evaluation ideas, see How referees evaluate research. For you evaluation, you can use your own criteria or, if you like, you can use the Research Seminar Evaluation Form.
Team presentation and report: similar to last semester, choose a suitable topic and create a course-material-related project using Weka or a similar tool.
Incompletes: in order to be fair to those students who complete the course in a timely manner, our policy is to reduce the grade of those students taking an incomplete by a letter grade for each semester, or portion thereof, that the incomplete is in effect.
|Event||Possible points per person|
Three Evaluation Reports
Presentation & Report
|Individual Participation||100 points|
|Totals||max 600 points|
1000 points = 100%
|A 93-100%||930 or more points||Dominates the Material|
|A- 90-93%||900-929 pointss||Masters the Material|
|B+ 87-90%||870-899 points||Good Understanding
with Flashes of Stellar Work
|B 83-87%||830-869 points||Good Understanding|
|B- 80-83%||800-829 points||Aptitude for the Subject|
|Less than 80%
|below 800 points||Weak for Graduate Work|