Welcome to my class CSCI-736 Neural Networks and Machine Learning

RIT Department of Computer Science
Syllabus ----- Schedule

CSCI-736 Neural Networks and Machine Learning Syllabus

Instructor: Dr. Leon Reznik                                 Contact Information Introductory letter

Please, note: all information on this site is provisional. It is provided only as an initial reference. After enrollment, please, use information from Mycourses, which is regularly updated.

Catalogue Description

The course will introduce students into the current state of artificial neural networks. It will review different application areas such as intrusion detection and monitoring systems, pattern recognition, access control and biological authentication, and their design. The students will be required to conduct research and analysis of existing applications and tools as well as to implement a course programming project on design of a specified application based on neural networks and/or fuzzy rules systems. (CSCI-630 or CSCI-331 or permission of instructor

Course Outcomes

Course Policies

This class will be taught in a blended mode; in this case the class meeting time will be reduced but the students will have to do more work independently and online. Please, see Welcome to my class Introductory letter and mycourses for further information

Required Materials

see Mycourses

Additional Resource

Textbook: J.C.Principe, N.R.Euliaon, W. Curf Lefebvre “Neural and Adaptive systems” John Wiley and Sons

This class will extensively use Mycourses. Much more information, references and resources could be found on the Mycourses page. All curriculum activities, such as assignment submissions, online discussions and even tests will be done through Mycourses. Please, login into the course mycourses page as soon as you are granted the access.


 Projects  45
  Tests 40
 Presentations  15

CS Common Course Policies Include:

@Leon Reznik 2002-2012 Unauthorized reproduction is NOT allowed