The CECS 6824B/21 Special Topics in KDDM graduate course Web Mining: A First Course in Web Mining, Search Engines, and Business Intelligence (Department of Computer Engineering & Computer Sciences of Polytechnic University) starts today.
Syllabus: Available at http://www.pupr.edu/pdf/Web-Mining.pdf
Time: Monday, 6:30PM – 10:30PM
Location: Turing Laboratory, Room 301
These are also office hours for those working on projects and theses with me can attend.
Grading: Take-Home Work and Final Exam
Three partial take home tests. The lowest score is dropped.
The following scale is used to score a final grade G:
G = (F)(w) + (ave P)(1 – w)
Where F is the score of the Final Exam and ave P is the average Partial score defined as follows:
ave P = (Bonus points + sum of two highest partial tests)/2
w = weight factor to curve scores.
General Instructions for working in groups:
1. After completion of a project, each group will conduct a 15-minute PPT or PDF presentation. You only need to explain your results and main findings.
2. The day of the presentation the group should submit a written 2-page max report in English or Spanish, in a Word or PDF format. Use a 10-point Arial font and a single space, 1”-margin format.
3. The 2-page report should consist of a centered title, followed by co-author names, and a 50-word max abstract, a one-paragraph Introduction, Procedure (referenced), Results, Conclusion, and a Reference.
4. Raw data, figures, tables, or codes, if any, should be referenced (e.g., “See Figure 1.”) and appended in separate pages as an Appendix section. Number each of these (e.g., Figure 1, Table 1, etc.) and add a descriptive caption to each one.
If you are a student, read this blog (https://irthoughts.wordpress.com) for announcements and updates under the Web Mining Course category(https://irthoughts.wordpress.com/category/web-mining-course/).
Web Mining is a hands-on course; thus, all weekly agendas are tentative, flexible, and can be extended or shortened according to class needs. Posts at this blog will reflect these changes.
Week 1 Agenda:
1. Overview of the course
2. Falling in Love with Web Mining:
A Brief History of the Internet and Search Engines (PPT presentation).
3. Search Engines and Search Marketing (PDF presentation)
Required reading material
Optional reading material:
It might help later in the course if you can start reading a bit about building search, match, and replace applications with regular expressions. Feel free to use your favorite programming language. Any programming flavor is fine, but as long as your applications can be interpreted by a browser (e.g., IE, Firefox, etc). Keep in mind that this is a hands-on course.