Department(s) offering the course :

(1)

Minia university Faculty of Engineering

COURSE SPECIFICATION

A- Administrative Information

Course Title

:

Selective Course (1) [neural network]

Code :

EEC318

Department(s) offering the course :

Electrical Engineering

Program (s) on which the course is given :

Undergraduate level

Department offering the program (s) :

Electrical Engineering

Academic year/level :

3^rd Year..

Semester :

First semesters

Date of specification/revision :

2004

Date of approval by Departmental/Faculty :

05/10/2020

Taught hours:

Lecture: 2 hrs/week Tutorial: 2hr/week Practical:0 hr/week others

:

Total: 4hrs/week

B-Professional Information

1-1 Overall Aims of the Course

The course is designed to:

• The course objective is to make student familiar with Neural networks.

1.2-Intended Learning Outcomes of the course (ILOs):

a- Knowledge and understanding:

Upon completing this course, the student should be able to:

a1 - ability to apply knowledge of mathematics, science, and engineering.

a2- understand basic principles and structure blocks of circuit analysis computer program.

a3- able to defined different methods of Neural networks.

b- Intellectual skills

b1 - identify, formulate and solve Neural circuit.

b2- to apply circuit theories to circuit analysis problem.

b3-to criticize results and identify the back propagation algorithm.

c- Professional and practical skills

c1-To develop a computer program to solve different type of convolutional Network.

c2 - Select and apply appropriate scientific, mathematical and computer based methods to analysis and design a general Neural Network.

d- General and transferable skills

(2)

EEC Course Specification

d1- communicate effectively using written, oral and graphical presentational skills.

d2-use information technology, IT, effectively

(word processor, spreadsheets, databases, presentations, email, net browsing) d3- think quietly and positively, and work independently

d4-Good communication skills through oral presentations and technical report writing d5-work in a team environment.

2 Syllabus

CHAPTERS CONTENTS

TOPIC (1)

The basic principles of circuit components of neural network and its inception and development

TOPIC (2)

types of neural circuits.

TOPIC (3) how training and learning in neural circuits

TOPIC (4) training algorithms and the factors affecting the efficiency of these

algorithms - TOPIC (5)

applications of neural circuits.

3-Teaching and Learning Methods

3.1- Lectures.

3.2- Tutorial activities 3.3- Discussions 3.4- Reports

3.5 Office meetings.

4-Students Assessment Methods

Tutorial assignments.

Written mid-term exam.

Written final exam.

4.1

- Assessment schedule:

Assignment 2 Week # 5 (1^st semester)

4.2-

Weighing of assessments:

Mid-Term Exam 15 %

Final Exam 70 %

Tutorial Assignment 15 %

______________________________________________

Total 100 %

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6-List of References

6.1-Course notes:

Course Notes: -

My presentation

6.2-Essential books (textbooks):

Edition, Pearson Prentice S. Haiken; “ Neural Networks : A Comprehensive Foundatio”; 2nd

.2.1 6

Hall, 2001

6.3-Recommended books:

6-3-1 Modern Digital And Analog Communications Systems - Third Edition - B P Lathi, 1994

6.4-Periodicals, websites, etc.:

7-Other Resources/ Facilities required for teaching and learning to achieve the above ILOs .

7.1- Computer and data show in the lecture room.

7.2- Computer and Internet access for the students.

7.3- Many text books available in the departmental library.

7.4- Previous student projects.

8- We certify that all of the information required to deliver this course is contained in the above specification and will be implemented.

Course Coordinator:

Name: Dr. ---- ………..---

Signature:………..…….. Date: 05/10/2020 Head of Department of: ………

Name: Assoc. Prof. Dr. Ashraf A. M. Khalaf

Signature:…………………….. Date:… 05/10/2020

(4)

5- Course Curriculum Map

Course title: Selective Course (1) [Neural Nework] Code: EEC318

Course aim: to make student familiar with Neural networks

Course coordinator: Dr. Ashraf Abd el menam Khalaf Department Head: Dr. Ashraf A. M. Khalaf

S ^Week_#

Intended Learning Outcomes (ILOs) ^Topics

Teaching Methods Assessment

Methods Evidences Knowledge

and understandi ng

Intellectual skills

Professional and practical skills

General and transferable skills

1 1-3 a1 + a2

The basic principles of circuit components of neural network and its inception and development

3.1- Lectures.

3.2- Tutorial activities 3.3- Discussions 3.4- Reports

3.5 Office meetings.

4.1 Tutorial assignments.

4.2 Written mid-term

exam.

4.4 Written final exam.

Course file, Exam samples,

Regular reports, 2 4-6 a1 + a2 b1 + b2 c1 d1+ d2 + d3 types of neural circuits.

3 7-8 a1 + a3 b3 how training and learning in

neural circuits

4 9-11 a2 + a3 c2 d1+ d3 + d4

training algorithms and the factors affecting the efficiency of these algorithms -

5 12-13 a1 + a3 b3 d1+ d4 + d5 applications of neural

circuits.