THEORY EXAMINATION (SEM-IV) 2016-17 ENGINEERING MATHEMATICS-III

B.Tech Mathematics 0 downloads
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Paper Title: Engineering Mathematics–III (NAS401)
Course: B.Tech (Semester IV)
Max Marks: 100
Duration: 3 Hours

Section A – Short Answer Questions (2 × 10 = 20 Marks)

This section contains 10 compulsory questions testing fundamental concepts, such as:

Complex Analysis:
Evaluate ∫Cezz+1dz\int_C \frac{e^z}{z+1}dz∫C​z+1ez​dz, analyticity of sinh⁡z\sinh zsinhz, and Cauchy-Riemann conditions.

Fourier & Z-Transforms:
Proofs of modulation theorem and solving simple Z-transform difference equations.

Statistics:
Meaning of skewness and normal equations for linear regression.

Numerical Methods:
Newton-Raphson, Picard, and Euler’s methods for iterative and differential solutions.

Section B – Long Answer Questions (5 × 10 = 50 Marks)

Students must attempt any five.
Key topics include:

Analytic Function Proofs — showing continuity and failure of differentiability.

Cauchy Integral Formula Applications.

Fourier Transforms — sine and cosine forms.

Multiple Regression Problems — using given datasets.

Numerical Solutions — Regula-Falsi, Crout’s Method, Runge-Kutta of 4th order.

Example:
Solve

{2x+3y+z=9x+2y+3z=63x+y+2z=8\begin{cases} 2x + 3y + z = 9 \\ x + 2y + 3z = 6 \\ 3x + y + 2z = 8 \end{cases}⎩⎨⎧​2x+3y+z=9x+2y+3z=63x+y+2z=8​

using Crout’s method.

Section C – Advanced Problems (2 × 15 = 30 Marks)

Choose any two.
These questions require deep conceptual understanding and longer calculations.

Complex Functions: Testing regularity, evaluating integrals like ∫02πdθa+bsin⁡θ\int_0^{2\pi} \frac{d\theta}{a+b\sin\theta}∫02π​a+bsinθdθ​.

Z-Transform Applications: Solving difference equations such as
yk+2−4yk+1+3yk=5k.y_{k+2} - 4y_{k+1} + 3y_k = 5^k.yk+2​−4yk+1​+3yk​=5k.

Statistics:
Derivation involving regression line angles and performing a chi-square test for association between variables.

Interpolation & Approximation:
Missing data estimation, cubic polynomial fitting, and Simpson’s rule for numerical integration.

Key Topics Covered

UnitTopicCore Areas
IComplex VariablesAnalytic functions, Cauchy-Riemann equations, Cauchy integral theorem
IITransformsFourier, Z-Transforms, Modulation Theorem
IIIStatisticsCorrelation, regression, chi-square test
IVNumerical TechniquesNewton-Raphson, Runge-Kutta, Crout’s, Regula-Falsi
VInterpolation & IntegrationNewton’s and Simpson’s methods

In Summary

This exam thoroughly tests analytical, computational, and numerical skills vital for engineers. Students should focus on:

Derivation-based proofs (analyticity, transforms)

Problem-solving accuracy (Z-transform, Runge-Kutta)

Conceptual clarity in applied statistics and numerical computation.

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