DEPARTMENT OF COMPUTER SCIENCE
Instructor: Dr. Daniel Barbará
Description: This course covers the principles, techniques, and methods to scale Data Mining algorithms
Prerequisites: CS 658. A solid
background in Python.
In order to be able to work on the
programming projects, the students must be comfortable with the Python programming language.
Meeting Times and Locations:
Textbooks:
Course Web Page: http://cs.gmu.edu/~dbarbara/CS657/index.html
Course Outcomes: At the end of this course, you will
Grading:
No early exams will be given and make-up exams are strongly
discouraged.
Assignments will be collected
on the date indicated in BlackBoard. NO LATE SUBMISSIONS ALLOWED
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
(SUB I, Rm. 222; 993-2474; www.gmu.edu/student/drc) to determine the accommodations you need; and 2) talk with me to discuss your accommodation needs.