CS 3530 - Applied Neural Networks

Summer 2005

Course Syllabus


Professor: Dr. Rahman Tashakkori
Office: CAP 121
Office Phone: 262-7009
Office Hours: MTW by appointment between 12:00-2:00, and whenever my office door is open.
Class Time/Location: MTWR 10:00-12:00 am/Room 307 CAP.
Lab Location: XTerm-Lab or PC Lab 
First Day: Tuesday July 6   Final Exam for this course: Last Day of Class Friday Aug 5
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
      Supervised and Unsupervised learning
      Supervised Hebb
      Associative Learning
      Competitive Learning
      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

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:
                        Two Exams 40% (20% each),
                        Final exam, 25%,
                        In-class Assignments, Quizzes, and Labs (5% each) 15%,
                        Assignments 20%

Students are required to attend all classes.  Each unexcused absence will result in 5 points deduction from the overall semester grade.  A student with more than 2 absences (excused or unexcused) are encouraged to drop the course.  A student with 3 or more missing classes will receive an F for the course. Please note that I will take the attendance at the beginning of the class. I will not take any name after I have collected the attendance sheet.

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 class.   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