Gujarat PGCET Syllabus for Metallurgical Engineering (MT) 2021

Gujarat PGCET

Gujarat PGCET Syllabus for Metallurgical Engineering (MT) 2021- Gujarat PGCET stands for Gujarat post graduate common entrance test.  This entrance test Is to be held on a state level entrance examination. This entrance examination is going to be conducted by the admission community of professional course (ACPC). After clearing Gujarat PGCET 2021 entrance exam applicants may be able to sit in the first year of professional postgraduate courses. There are various professional graduate courses included in this entrance examination these are M.Tech/M.E.

Gujarat PGCET Syllabus for Metallurgical Engineering (MT) 2021

In this section, we are going to discuss Gujarat PGCET 2021 Metallurgical Engineering syllabus in detail. But before that, All applicants must be aware of the Gujarat PGCET 2021 exam pattern. Gujarat PGCET exam is the complete offline or pen- paper-based exam. The total duration of the exam is 1 hour 30 minutes (90  minutes). The question to be asked by the question paper is a multiple choice question and there are a total hundred questions to be asked. The question paper will be released in English medium. The marking scheme of the Gujarat PGCET 2021 exam is that every correct answer applicant will be awarded one mark and there will be no negative marking for any wrong answer. 

Gujarat PGCET 2021 Syllabus for Metallurgical Engineering (MT)

Engineering MathematicsLinear Algebra
Differential Equations
Complex Variables
Probability and Statistics
Numerical Methods

Metallurgical Engineering
Thermodynamics and Rate Process
Extractive Metallurgy
Physical Metallurgy
Mechanical Metallurgy
Manufacturing Processes

Gujarat PGCET 2021 Syllabus for Metallurgical Engineering

Topics covered under Gujarat PGCET Syllabus 2021 for Metallurgical Engineering is prescribed as below:

Engineering Mathematics Syllabus

Linear Algebra: Matrix algebra, Systems of linear equations, Eigenvalues and eigenvectors.

Calculus: Functions of a single variable, Limit, continuity and differentiability, Mean value theorems, Evaluation of definite and improper integrals, Partial derivatives, Total derivative, Maxima and minima, Gradient, Divergence and Curl, Vector identities, Directional derivatives, Line, Surface and Volume integrals, Stokes, Gauss and Green’s theorems.

Differential equations: First order equations (linear and nonlinear), Higher order linear differential equations with constant coefficients, Cauchy’s and Euler’s equations, Initial and boundary value problems, Laplace transforms, Solutions of one-dimensional heat and wave equations and Laplace equation.

Complex variables: Analytic functions, Cauchy’s integral theorem, Taylor and Laurent series.

Probability and Statistics: Definitions of probability and sampling theorems, Conditional probability, Mean, median, mode and standard deviation, Random variables, Poisson, Normal and Binomial distributions.

Numerical Methods: Numerical solutions of linear and non-linear algebraic equations Integration by trapezoidal and Simpson’s rule, single and multi-step methods for differential equations.

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