George Mason University

DEPARTMENT OF COMPUTER SCIENCE

CS 484 Data Mining – Fall 2021

Instructor: Dr. Daniel Barbará

Description: This course provides an introduction to the fundamental concepts in Data Mining

Prerequisites: grade of C or better in CS 310 and STAT 344, or permission of instructor Students not satisfying the prerequisites will be dropped from the class.

Meeting Times and Locations:

• Section 001:  MW   12-1:15 pm  hybrid (see PatriotWeb for schedule)

Readings:
Textbooks:

• Data Mining: Introduction to Data Mining by Tan, Steinbach and Kumar, 3rd ed

Office Hours: : By appointment(virtual)

Course Web Page: http://cs.gmu.edu/~dbarbara/CS484/index.html

Course Outcomes: At the end of this course, you will

• The ability to apply computing principles, probability and statistics relevant to the data mining discipline to analyze data.
• A thorough understanding of model programming with data mining tools, algorithms for estimation, prediction, and pattern discovery.
• The ability to analyze a problem, identifying and defining the computing requirements appropriate to its solution: data collection and preparation, functional requirements, selection of models and prediction algorithms, software, and performance evaluation.
• The ability to understand performance metrics used in the data mining field to interpret the results of applying an algorithm or model, to compare methods and to reach conclusions about data.
• The ability to communicate effectively to an audience the steps and results followed in solving a data mining problem (through a term project)

Grading:

• Exams 30%
• Programming Projects 40%
• Final Project 30%

No early exams will be given and make-up exams are strongly discouraged.

Assignments will be collected on the date indicated in BlackBoard. Late homework will be accepted with a penalty of 20% per day within 3 days after deadlines and will not be accepted three days after due, unless under prearranged conditions.
GMU Honor Code will be enforced. The students are supposed to work individually on the assignments/projects, unless told otherwise. We reserve the right to use MOSS to detect plagiarism. Violations of GMU Honor Code or a total score of 49 (or less) will result in an F.

No smartphones, laptops, or recorders allowed in class. Lectures cannot be recorded without special permission from the instructor

Computer Accounts: All students should have accounts on the central Mason Unix system mason.gmu.edu (also known as osf1.gmu.edu) and  on IT&E Unix cluster zeus.ite.gmu.edu (Instructions and related links are here). Students can  work in  IT&E computer labs  for programming projects during the specified hours.

Students with Disabilities: If you have a documented learning disability or other condition that may affect academic performance you should: 1) make sure this documentation is on file with the Office of Disability Services www.gmu.edu/student/drc) to determine the accommodations you need

Safe return to campus