ELECTROMAGNETICS | SYLLABUS | IOE | 2066

ELECTROMAGNETICS

EX 503

Lecture  :  3
year  :   II
Tutorial  :  1  
Part  :   I
Practical  :  3/2

Course Objectives:
To provide basic understanding of the fundamentals of Electromagnetics.

1.  Introduction  (3 hours)
1.1  Co-ordinate system.
1.2  Scalar and vector fields.
1.3  Operations on scalar and vector fields.

2.  Electric field     (11 hours)

ELECTRONIC DEVICES AND CIRCUITS | SYLLABUS | IOE

ELECTRONIC DEVICES AND CIRCUITS

EX 501

Lecture  :   3            
Year  :  II
Tutorial  :   1    
Part  :   I
Practical  :   3/2

Course Objectives:
•  To introduce the fundamentals of analysis of electronic circuits
•  To provide basic understanding of  semiconductor devices and analog integrated circuits

1.  Diodes  (5 hours)

1.1  The Ideal Diode
1.2  Terminal Characteristics of Junction Diodes
1.3  Physical Operation of Diodes
1.4  Analysis of Diode Circuits
1.5  Small Signal Model and Its Application
1.6  Operation in the Reverse Breakdown Region - Zener Diodes

2.  The Bipolar Junction Transistor            (10 hours)

THEORY OF COMPUTATION | SYLLABUS | IOE | SECOND YEAR

THEORY OF COMPUTATION

CT 502

Lecture  :   3    
year  :  II
Tutorial  :   1    
Part  :   I
Practical  :  0      
      
Course Objectives:
To provide basic understanding of theory of automata, formal languages, turing machines and computational complexity.

1.  Introduction   (4 hours)
1.1  Set, relation, function, Proof techniques.
1.2  Alphabets, language, regular expression.

2.  Finite Automata   (12 hours)
2.1  Deterministic Finite Automata.
2.2  Non-Deterministic Finite Automata.
2.3  Equivalence of regular language and finite automata.
2.4  Regular language, properties of regular language.
2.5  Pumping lemma for regular language.
2.6  Decision algorithms for regular languages.

ELECTRIC CIRCUIT THEORY | SYLLABUS | IOE

ELECTRIC CIRCUIT THEORY

EE 501

Lecture  :   3
Year  :   II
Tutorial  :   1    Part   :   I
Practical  :   1.5

Course Objectives:
To continue work in Basic Electrical  Engineering  including the use of the Laplace Transform to determine the time and frequency domain responses of electric circuits.

1.  Network Analysis of AC circuit & dependent sources    (8 hours)
1.1  Mesh Analysis
1.2  Nodal Analysis
1.3  Series & parallel resonance in RLC circuits
1.3.1  Impedance and phase angle of series Resonant Circuit
1.3.2  Voltage and current in series resonant circuit
1.3.3  Band width of the RLC circuit.
1.3.4  High-Q and Low-Q circuits

2.  Initial Conditions:          (2 hours)
2.1  Characteristics of various network elements
2.2  Initial value of derivatives
2.3  Procedure for evaluating initial conditions
2.4  Initial condition in the case of R-L-C network

OBJECT ORIENTED PROGRAMMING | SYLLABUS | MARKING SCHEME | IOE

OBJECT ORIENTED PROGRAMMING

CT 501

Lecture  :   3    
Year  :   II
Tutorial   :   0    
Part  :    I
Practical  :   3    

Course Objective:
The objective of the course is to familiarize students with the C++ programming language and use the language to develop pure object oriented programs.

1.  Introduction to Object Oriented Programming  (3 hours)

1.1  Issues with Procedure Oriented Programming
1.2  Basic of Object Oriented Programming (OOP)
1.3  Procedure Oriented versus Object Oriented Programming
1.4  Concept of Object Oriented Programming
1.4.1  Object
1.4.2  Class
1.4.3  Abstraction
1.4.4  Encapsulation
1.4.5  Inheritance
1.4.6  Polymorphism
1.5  Example of Some Object Oriented Languages
1.6  Advantages and Disadvantages of OOP

ENGINEERING MATHEMATICS III | SYLLABUS | IOE | SECOND YEAR

ENGINEERING MATHEMATICS III

SH 501

Lecture  :   3
Year  :   II
Tutorial  :   2
Part  :   I
Practical  :   0

Course Objective:
The purpose of this course is to round out the students’ preparation for more sophisticated applications with an introduction to linear algebra, Fourier Series, Laplace Transforms, integral transformation theorems and linear programming.
1.  Determinants and Matrices       (11 hours)
1.1.  Determinant and its properties
1.2.  Solution of system of linear equations
1.3.  Algebra of matrices
1.4.  Complex matrices
1.5.  Rank of matrices
1.6.  System of linear equations
1.7.  Vector spaces
1.8.  Linear transformations
1.9.  Eigen value and Eigen vectors
1.10.  The Cayley-Hamilton theorem and its uses
1.11.  Diagonalization of matrices and its applications