| Meeting times: | Tu Th 4:00-5:15pm in SH 113 | |
| Instructor: | Dr. Inna Pivkina | |
| Office: | SH 173 | |
| E-mail: | ipivkina@cs.nmsu.edu | |
| Phone: | 646-6237 | |
| Office Hours: |
Mon 2-3pm, Wed 9:30-10:30am, and by appointment. | |
| Course Web Page: | http://cs.nmsu.edu/~ipivkina/cs579/ |
Textbook: Data Mining: Practical Machine Learning Tools and Techniques (Second Edition) by Ian H. Witten and Eibe Frank, Morgan Kaufmann, June 2005.
Course Description: Data Mining is one of the hottest fields in Computer Science. Data has been accumulating in many forms, including database systems, spreadsheets, text files, and recently web pages. Data mining programs are intended to search through data for hidden relationships and patterns.
In this course we will learn about the fields of Machine Learning and Data Mining (which is also sometimes called Knowledge Discovery). We will be using Weka - an open-source Machine Learning Workbench (www.cs.waikato.ac.nz/ml/weka/).
Tentatively, the following topics will be covered (Topics may be deleted and additional topics added depending on the interests of the participants and the available time):
There will be approximately 6 homework assignments, midterm exam, final exam, and final project.
Attendance: Students are responsible for all lecture material, handouts and announcements given during class. Too many absences will make it very difficult for the student to complete the assignments satisfactorily. Exams may be made up for excused absences only (due to documented reasons).
Student Evaluation:
| Homework | 40% |
| Midterm Exam | 15% |
| Final Exam | 20% |
| Final Project | 20% |
| Class Participation | 5% |
Grading Scale:
| 90-100% = A | 80-89.99 = B | 70-79.99 = C |
| 60-69.99 = D | below 60 = E |
Due Dates and Late Policy: Every assignment will have a due date. Every school day the assignment is late, the penalty is 5 percent of the possible points off. Late assignments will not be accepted once solutions have been discussed in class or the graded work has been returned to the class!
Class Policy:
The grade of I (incomplete) may be given only if you are unable to complete the course due to documented circumstances beyond your control that develop after the last day to withdraw from the course. Appropriate circumstances include illness and death or crisis in your immediate family. Consult the university catalog for regulations regarding the I grade. In no case will an I grade be assigned to avoid a grade of D or F in the course. If you elect to be graded under the S/U option, you must declare your intention when registering for the course. All work in the class will be graded in a manner identical to that for students choosing the letter grade option. At the end of the semester, your final letter grade in the course will be used to assign either a S or an U. You must achieve a minimum grade of C in order to receive a grade of S.
Both intentional and unintentional plagiarism is prohibited.
It is expected that students follow the code of conduct stated in the
Student Code of Conduct available at
http://www.nmsu.edu/%7Evpsa/SCOC/
Any violations of the code will result in a
grade of F for the course, in addition to any further sanctions imposed by
the university. Unless explicitly stated by the instructor, you are assumed to perform the assigned work by yourself, without any external collaboration.
Cheating in all forms is prohibited.
Note that a person copying an assignment is guilty of a
violation of academic conduct, as is the person from whom the assignment
was copied.
ADA:
Feel free to call Jerry Nevarez, Director of Institutional Equity, at 505-646-3635 with any questions you may have about NMSU's Non-Discrimination Policy and complaints of discrimination, including sexual harassment.
Feel free to call Michael Armendariz, Coordinator of Services for Students with Disabilities, at 505-646-6840 with any questions you may have on student issues related to the Americans with Disabilities Act (ADA) and/or Section 504 of the Rehabilitation Act of 1973. All medical information will be treated confidentially.