**
CSC 7850 Introduction to Neural Networks**

Course #: CSC 7850

Prerequisite:

Day: T-Th

Room: State Hall

Hours: 4.30 pm – 6.00 pm

Instructor: Sorin Draghici

Office: 408 State Hall

Office hours: Tue: 6.00 pm – 7.00 pm

Telephone: 577-5484

Email: sod@cs.wayne.edu

Web page: http://www.cs.wayne.edu/~sod

On this web page you can find the syllabus, and announcements regarding the course if any.

Fundamentals of Artificial Neural Networks - Mohamad Hassoun

Neural Network Design – Hagan, Demuth, Beale – this book is out of print but can be purchased both new and used on the internet. A copy of the book is also on reserve in the Science library.

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Course objectives:__ The course will provide an introduction to the field
of neural networks.

Course content: Neuron models and network architectures, perceptron learning rules, signal and vector spaces, linear transformations, supervised hebbian learning, performance surface and optimum points, performance optimization, Widrow-Hoff learning, backpropagation, associative learning.

Final exam: 25 April

Revision for final exam: 18 April

Midterm exam: 3/7.

This is a graduate course in computer science. The students taking this course are expected to have a good working knowledge of:

- linear algebra

- calculus

- discrete mathematics

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Attendance: __Attending all lectures is essential; the assignments, exams,
quizzes, etc. will be based primarily (though not exclusively) on the materials
presented in these lectures. Also, assignments due dates, explanation and
clarification of assignments and **material
outside the textbooks **will be presented during lecture and lab sessions.
If you miss a lecture or lab session, it is your responsibility to obtain
the information covered in the session.

__
Health Safety:__ Please report to the instructor any health condition which
may create a classroom emergency (e.g. seizure disorders, diabetes, heart
conditions, etc.).

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Computer lab:__ To enhance your learning and for your homework, the computer
lab, equipped with PC’s is available
to you during the time posted on the lab’s door.

If
you have a PC and appropriate software at home, you are encouraged to work
at home. However, **it is your responsibility
to make sure that your homework is fully compatible with the equipment in
the undergraduate lab and to transfer your homework on the equipment in the
lab** so that it is available for assessment on the due date.

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Assignments, quizzes, examinations and final project:__ There will be a
number of assignments, due at the beginning of the class session of the due
date. Late submissions (but not later
than one week) will carry a 10% deduction of the marks for each day it is
late. If you must, late homework
can be turned in to the secretary in the Department of Computer Science main
office (431 State Hall, open weekdays from 9am to 5pm). No assignments will
be accepted after 9 calendar days past its due date. Since each assignment
is an integral part of the course, the instructor reserves the right to give
a failing grade to anyone who is turning in 50% or less of the homework.

**
There will be a number of unannounced quizzes during
the regular lecture hours. The examinations will be closed books,
closed notes and closed neighbors. **

**
Since the two exams cover different parts of the course material, in order
to pass the course, you must pass both exams. If you suspect that
you will be unable to attend an exam because of a valid and verifiable excuse,
you must give me prior notice, at least one full day before the exam. There
will be NO make-up examinations. **

**
Be aware of the fact that this course, like any other course, require a certain
amount of work to be done. Specifically to this course, some of the work
has to be done on a computer. Simply attending the lectures is not sufficient
to obtain a passing grade. **

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Final grade:__ Each homework/exam/quiz/lab/term project is worth 100 points.

The final grade will be calculated as follows:

Average of homeworks 25%

Quizzes: 25%

Midterm exam: 25%

Final: 25%

The final letter grade will be determined approximately as follows:

The final letter grade will be determined approximately as follows: A: 95-100 % A-: 90-94.99 B+: 85-89.99 B: 80-84.99 B-: 75-79.99 C+: 70-74.99 C: 66-69.99 C-: 62-65.99 D+: 58-61.99 D: 54-57.99 D-: 50-53.99 E: less than 50% A grade of Incomplete (I) will not be given unless in very exceptional circumstances. |

A grade of Incomplete (I) will not be given unless in very exceptional circumstances.

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Student Responsibilities and Academic Honesty:__ As a college student who
is committed to seek a higher education, we expect you to be a very responsible
person. At the least, please:

· Do your best to understand the material covered in the class and ask questions when you do not understand.

· Be aware of the homework assignments, deadlines and late assignment policy.

· Turn in your assignments in neat, readable and easily accessible form.

· Obtain notes and handouts from your classmates if you miss a class for unavoidable circumstances.

Also, we expect all of you to have the highest level of academic honesty. We expect each of you to do your work (assignments, lab exercises, quizzes, exams) yourself and strongly encourage you to discuss with the instructor regarding any problems which you might have in the course work. Remember, you are here to gather more knowledge and become a more educated person, not to collect grades.

In
fairness to all, **if we find two or
more assignments which appear to be copied from each other, we will split
the points evenly among all those involved (no matter who copied from whom)**
. Repeated incidents will be dealt with severe disciplinary actions including
expulsion from the CS program.

Please behave decently in the classroom. If you have any questions or problems regarding the topic being discussed, feel free to ask your instructor at any time. Don’t be shy: no question is too simple and many others might share your puzzlement. Please refrain from discussing other issues among yourselves during the class. You might be disturbing your colleagues who have the right to attend the lecture in a noise‑free environment.

CSC Questionnaire

Instructions: Please complete the following and return to the instructor.

Name:__ ____________________________________________________

(Last) (First) (Middle)

Student ID number: _____________________

Telephone: ___________________ (Home) Can I leave a message?________

(Office) Can I leave a message?________

Email:

What level are you? __________________

Major:_____________________________

Briefly list all programming languages that you know:

________________________________________________________________________

________________________________________________________________________

Year and semester when you took 3200:

Name of the instructor for 3200:

Year and semester when you took 5800:

Name of the instructor for 5800:

I understand that the prerequisites necessary for this course are linear algebra, good programming knowledge and basic discrete mathematics.

Name:

Signature:

Please circle the number that best represents you response to each item using the following scale:

1 Strongly disagree

2 Disagree

3 Disagree somewhat

4 Neutral

5 Agree somewhat

6 Agree

7 Strongly agree

1. At the beginning of the course the overall class plan was clearly presented.

1 2 3 4 5 6 7

2. At the beginning of the course, my responsibilities as a student were made clear.

1 2 3 4 5 6 7

3. The grading procedures were clearly explained at the start of the course.

1 2 3 4 5 6 7