CS 3530 - Artificial Neural Networks

Summer 2003

Course Syllabus



Professor: Dr. Rahman Tashakkori
Office: CAP 121
Office Phone: 262-7009
Office Hours: MTW 12:00-2:00, and whenever my office door is open.
Class Time/Location: MTWR 8:00-9:55 am/Room 110 CAP.
Lab Location: Depending on availability: X-Lab or PC Lab 
First Day: Tuesday May 27   Last Day: Thursday June 26, Final Exam for this course: June 26, 2003
Professor's e-mail:  rt@cs.appstate.edu
Professor's Web Page: http://www.cs.appstate.edu/~rt/


Course Description
We study artificial neural networks from the computer scientist's point of view.   The course provides a thorough introduction to this field. Students will learn to apply the methods and follow the current development in this field. They implement some of the applications of the Neural Networks in pattern recognition, time series prediction, data mining and optimization problems. We will have several labs in which we will spend sometimes to experiment with a neural network simulators.

Some of the Topics
      The perceptrons and linear separable functions
      Multi-layer perceptrons
      Backpropagation, one basic learning algorithm for feedforward networks
      Variations and improvements of backpropagation
      Generalization ability
      Recurrent networks: Hopfield Networks and Boltzmann Machines
      Unsupervised learning
      Self-organizing feature maps
      Applications

Prerequisite
Computer Science - II (CS 2440) and Linear Algebra

Textbook
Neural Network Design, M. Hagan, H. Demuth, and M. Beale, Publisher: PWS Publishing Company
Recommended Text
Building Neural Networks, David M. Skapura, Addison Wesley

Matlab's Neural Networks Toolbox Manual. Available in PDF format on the web page of the course.

Additional readings to be distributed during class.
Grading Policy
The following grading scale will used in this course:
                        Exam (1), 30%,
                        Final exam, 30%,
                        In-class Assignments and Labs 10%,
                        Assignments 20%, and
                        Quizzes and class participation %10.

Students are required to attend all classes.  Each missing class will result in a 3 points drop of the overall final grade.  A student with more than 5 missing classes will receive an F for the course.

All assignments are due before the start of the class on the due date.  No assignment will be accepted once the solution is discussed in the classroom.   No make-up exams will be given in this course.  If you missed an exam due to an "Extreme circumstances" such as illnesses, death of a relative, or problems of this nature, you have to present documents (e.g. a letter from a doctor, a letter from a hospital, or an obituary from the funeral).  In such cases, student's final exam's grade will be used for the missed exam.

All assignments and programs MUST be completed by students individually.  You may discuss the assignments and programs among each other but you have to write/edit programs by YOURSELF.   Please see the ASU Academic Integrity Policy for a description of the woes that befall a transgressor!

Grading Scale
        A- = 90 to 92.99            A = 93 to 100
        B- = 80 to 82.99             B = 83 to 86.99        B+ = 87 to 89.99
        C- = 70 to 72.99             C = 73 to 76.99       C+ = 77 to 79.99
        D- = 60 to 62.99             D = 63 to 66.99        D+ = 67 to 69.99
        Below 60 is an F.

No incomplete grade will be given.

Important Note
If you have a question send me e-mail at any time, and I will try to reply to your e-mail as soon as possible.  I encourage all students to communicate with me using e-mail whenever they have questions.



Link to Summer Schedule