The Volgenau School of Engineering
Department of Computer Science
CS 782 Machine Learning
Meeting time: Wednesday 4:30 pm – 7:10 pm
Meeting location: Art and Design Building L008
Instructor: Dr. Gheorghe Tecuci, Professor of Computer Science
Office hours: Monday
7:20 pm – 8:10 pm and Wednesday 7:20 pm – 8:10 pm
Office: Nguyen Engineering Building 4613
Phone: 703 993 1722
E-mail: tecuci at gmu dot edu
Machine Learning is concerned with the development of computer systems that are able to improve their performance at some task by learning from input data, from their own problem solving experience, and/or from a human. This course presents the principles, strategies, major methods, systems, applications, open issues, and research directions in Machine Learning. Covered topics include: Inductive learning, Decision trees learning, Rule induction, Instance-based learning, Bayesian learning, Neural networks, Model ensembles, Support vector machines, Learning apprentices, and Learning theory. The course will also include experimentation with learning systems implementing the methods discussed in class. A major part of this course will involve your development of a research project in an area of interest to you, involving significant outside study and preparation of a presentation (possibly with a demo) to the class.
Detailed lecture notes will be posted before each class meeting.
This course will use Blackboard (see http://gmu.blackboard.com) to post lecture notes, papers, assignments, and grades. The students will also submit their assignments through Blackboard. Students have accounts on Blackboard and can download the posted documents by going to courses.gmu.edu and logging in using their Mason ID and passwords.
The course grade will be computed as follows:
Class participation and assignments: 15%
Midterm exam: 30%
Final exam 30%
Mid-term exam: Wednesday 5 March at 4:30pm
Final exam: Wednesday 7 May at 4:30pm
Email to email@example.com and start the subject of the message with CS782.
Please try to limit the size of the files you are emailing.
GMU Email Accounts
Students must activate their GMU email accounts to receive important University information, including messages related to this class.
Office of Disability Services
If you are a student with a disability and you need academic accommodations, please see me and contact the Office of Disability Services (ODS) at (703) 993-2474. All academic accommodations must be arranged through the ODS. http://ods.gmu.edu.
Other Useful Campus Resources
Writing Center: A114 Robinson Hall; 703 993 1200; http://writingcenter.gmu.edu
University Libraries “Ask a Librarian” http://library.gmu.edu/mudge/IM/IMRef.html
Counseling And Psychological Services (CAPS): 703 993 2380; http://caps.gmu.edu
The University Catalog, http://catalog.gmu.edu, is the central resource for university policies affecting student, faculty, and staff conduct in university affairs.
You are expected to abide by the GMU honor code. Information on the university honor code can be found at http://academicintegrity.gmu.edu/honorcode/.
Additional departmental CS information: http://cs.gmu.edu/wiki/pmwiki.php/HonorCode/CSHonorCodePolicies