Electronic Devices is Explained in this page E-learning Materials Padeepz. This is just a sample for More videos you can buy the course EC8252 Electronic Devices at www.padeepz.com
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Semiconductor
UNIT I SEMICONDUCTOR DIODE
PN junction diode, Current equations, Energy Band diagram, Diffusion and drift current densities, forward and reverse bias characteristics, Transition and Diffusion Capacitances, Switching Characteristics, Breakdown in PN Junction Diodes.
UNIT II BIPOLAR JUNCTION TRANSISTORS
NPN -PNP -Operations-Early effect-Current equations – Input and Output characteristics of CE, CB, CC – Hybrid -π model – h-parameter model, Ebers Moll Model- Gummel Poon-model, Multi Emitter Transistor.
UNIT III FIELD EFFECT TRANSISTORS
JFETs – Drain and Transfer characteristics,-Current equations-Pinch off voltage and its significance- MOSFET- Characteristics- Threshold voltage -Channel length modulation, D-MOSFET, E-MOSFET- Characteristics – Comparison of MOSFET with JFET.
Engineering Mechanics is Explained in this page E-learning Materials Padeepz. This is just a sample for More videos you can buy the course GE8292 Engineering Mechanics at www.padeepz.com
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TEXT BOOKS: GE8292 Notes Engineering mechanics
1. Beer, F.P and Johnston Jr. E.R., “Vector Mechanics for Engineers (In SI Units): Statics and Dynamics”, 8th Edition, Tata McGraw-Hill Publishing company, New Delhi (2004).
2. Vela Murali, “Engineering Mechanics”, Oxford University Press (2010)
REFERENCES: GE8292 Notes Engineering mechanics
1. Bhavikatti, S.S and Rajashekarappa, K.G., “Engineering Mechanics”, New Age
International (P) Limited Publishers, 1998.
2. Hibbeller, R.C and Ashok Gupta, “Engineering Mechanics: Statics and Dynamics”, 11th Edition, Pearson Education 2010.
3. Irving H. Shames and Krishna Mohana Rao. G., “Engineering Mechanics – Statics and Dynamics”, 4th Edition, Pearson Education 2006.
4. Meriam J.L. and Kraige L.G., “ Engineering Mechanics- Statics – Volume 1, Dynamics- Volume 2”, Third Edition, John Wiley & Sons,1993.
5. Rajasekaran S and Sankarasubramanian G., “Engineering Mechanics Statics and Dynamics”, 3rd Edition, Vikas Publishing House Pvt. Ltd., 2005.
Engineering Maths 2 is Explained in this page E-learning Materials Padeepz. This is just a sample for More videos you can buy the course MA8251 Engineering Mathematics 2 at www.padeepz.com
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Eigenvalues and Eigenvectors of a real matrix – Characteristic equation – Properties of
Eigenvalues and Eigenvectors – Cayley-Hamilton theorem – Diagonalization of matrices – Reduction of a quadratic form to canonical form by orthogonal transformation – Nature of quadraticforms.
UNIT II VECTOR CALCULUS
Gradient and directional derivative – Divergence and curl – Vector identities – Irrotational and
Solenoidal vector fields – Line integral over a plane curve – Surface integral – Area of a curved
surface – Volume integral – Green’s, Gauss divergence and Stoke’s theorems – Verification and
application in evaluating line, surface and volume integrals.
UNIT III ANALYTIC FUNCTIONS
Analytic functions – Necessary and sufficient conditions for analyticity in Cartesian and polar
coordinates – Properties – Harmonic conjugates – Construction of analytic function – Conformal
mapping – Mapping by functions, – Bilinear transformation.
UNIT IV COMPLEX INTEGRATION
Line integral – Cauchy’s integral theorem – Cauchy’s integral formula – Taylor’s and Laurent’s
series – Singularities – Residues – Residue theorem – Application of residue theorem for
evaluation of real integrals – Use of circular contour and semicircular contour.
UNIT V LAPLACE TRANSFORMS
Existence conditions – Transforms of elementary functions – Transform of unit step function and
unit impulse function – Basic properties – Shifting theorems -Transforms of derivatives and
integrals – Initial and final value theorems – Inverse transforms – Convolution theorem –
Transform of periodic functions – Application to solution of linear second order ordinary differential
Padeepz E-Learning Materials MA8353 Transforms and Partial Differential Equations
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Padeepz E-Learning Materials MA6351 Transforms and Partial Differential Equations
Padeepz E-Learning Materials for MA6351 Transforms and Partial Differential Equations we have provided the sample materials in this page. If you like the sample and want to buy the full subject the procedure is also provided in this page.
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Padeepz E-Learning Materials EE8251 Circuit Theory
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Kirchoff’s Laws
Kirchoff’s Current Laws
Statement
At a junction, total current flowing towards the junction is equal to total current flowing away from the junction.
(or)
The algebraic sum of current meeting at a junction or node is zero.
Kirchoff’s Voltage Laws
Statement
In any closed network, the algebraic sum of product of current and resistance (Voltage drop) across the circuit elements of any closed path is equal to the algebraic sum of the emf’s in the path.
Formation of KVL Equation
Step 1: Give names for each and every possible nodes.
Step 2: Write the loop direction in terms of node (ABCDA)
Step 3: Assume the current direction for each branch.
Step 4: For calculating the voltage across a resistor.
If the assumed current direction and the loop direction is same, then it is potential drop. Loop direction is ABCDA, assumed current direction is from A to B. Both directions are same, then it is potential drop i.e., -IR.
Note: For ‘n’ number of closed loops (Meshes), there will be ‘n’ number of loops (mesh) currents and hence we need ‘n’ number of equations.
Padeepz E-Learning Materials EE6201 Circuit Theory
Padeepz E-Learning Materials EE6201 Circuit Theory we have provided the sample materials in this page. If you like the sample and want to buy the full subject the procedure is also provided in this page.
Kirchoff’s Laws
Kirchoff’s Current Laws
Statement
At a junction, total current flowing towards the junction is equal to total current flowing away from the junction.
(or)
The algebraic sum of current meeting at a junction or node is zero.
Kirchoff’s Voltage Laws
Statement
In any closed network, the algebraic sum of product of current and resistance (Voltage drop) across the circuit elements of any closed path is equal to the algebraic sum of the emf’s in the path.
Formation of KVL Equation
Step 1: Give names for each and every possible nodes.
Step 2: Write the loop direction in terms of node (ABCDA)
Step 3: Assume the current direction for each branch.
Step 4: For calculating the voltage across a resistor.
If the assumed current direction and the loop direction is same, then it is potential drop. Loop direction is ABCDA, assumed current direction is from A to B. Both directions are same, then it is potential drop i.e., -IR.
Note: For ‘n’ number of closed loops (Meshes), there will be ‘n’ number of loops (mesh) currents and hence we need ‘n’ number of equations.
Padeepz E-Learning Materials GE8152 Engineering Graphics we have provided the sample materials in this page. If you like the sample and want to buy the full subject the procedure is also provided in this page.
Hi Padeepz.com is a place where we make Engineering Students to understand their subjects in an easy and in a effective way. Which leads to greater knowledge in the subject and Provide plenty of time spending in innovative ideas.
Padeepz E-Learning Materials GE6152 Engineering Graphics we have provided the sample materials in this page. If you like the sample and want to buy the full subject the procedure is also provided in this page.
Hi Padeepz.com is a place where we make Engineering Students to understand their subjects in an easy and in a effective way. Which leads to greater knowledge in the subject and Provide plenty of time spending in innovative ideas.
Padeepz E-Learning Materials GE8151 Problem Solving and Python Programming
Padeepz E-Learning Materials GE8151 Problem Solving and Python Programming we have provided the sample materials in this page. If you like the sample and want to buy the full subject the procedure is also provided in this page.
ALGORITHM DEVELOPMENT PROCESS:
Algorithm is plan for solving problem. There are many ways to write algorithms
some are very informal, some are quite formal, and mathematical in nature, some are
in quite graphical. The form is not particularly important as long it provides the good
way to describe and check the logic plan.
The algorithm development process consists of major steps.
Step 1: Obtain a description of the problem
Step 2: Analyse the problem
Step 3: Develop high level Algorithm
Step 4: Redefine the algorithm by adding more details.
Step 5: Review the algorithm.
OBTAIN THE DESCRIPTION OF THE PROBLEM:
The problem should be explained, so that it’s easy for the developer to find the solution for the problem. The problem description suffers from one or more types.
* The description relies on unstated assumptions
* The description is unambigious
* The description is incomplete
* The description has internal contradictions.
ANALYSE THE PROBLEM:
* The purpose of this step is to determine both starting and ending points for solving the problem. When determining the starting point, start with the following Questions.
* What data are available?
* Where is the data?
* What formula are related to the problem?
* What rules are needed for the data?
* What relationships are exists among the data values?
* When determining the ending point, the characteristics of a solution is described.
* What new fact will arrive?
* What items will change?
* What things will no longer exists?
DEVELOP A HIGH LEVEL ALGORITHM:
An algorithm is plan for solving the problem. It’s usually better to start with high level algorithm that includes the major part of the solution, but sometimes more details can be added later.
An example is given to demonstrate high level algorithm.
Problem Statement: I Need to make a tea.
Analysis: I don’t have Milk.
High level algorithm:
* Go to stores that sells milk.
* Purchase milk and come home
* Prepare tea.
Though this algorithm seems to be satisfactory, it lacks many details.
* Which store I need to visit?
* Which Milk product I need to buy?
* How I goes to the stores: Walk, drive, ride my two wheeler, take the bus.
REDEFINE THE ALGORITHM BY ADDING MORE DETAIL:
A high level algorithm shows the major steps that need to be followed to
solve a problem. Our goals is to develop algorithms that leads to the computer
programs.
In simple examples moving from high level to detailed algorithm is done
in a single step but this is not always reasonable. For larger, more complex
problems, it is common to go through several times. Each time, more details
are added to the previous algorithm. This technique of gradually working
from high level languages to a detailed algorithm is often called as step wise
refinement.
REVIEW THE ALGORITHM:
The final step is to review the algorithm. Check the algorithm step by
step to determine whether it will solve the original problem or not.
* Does the algorithm solve a very specific problem or does it solve more
general problem.
* if it solves a very specific problem, should it be generalized.
