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GATE 2024: Engineering Mathematics Important Topics (Image Credit: Pexels)GATE 2024: GATE 2024 will be conducted on February 3, 4, 10, and 11. With less than two months left for the examination, students must revise all the subjects within the syllabus to ace the test with brilliant scores. Here, the important topics from the Engineering Mathematics section are provided. Note, that only the crucial topics from the examination perspective are stated here, and not the complete syllabus. Candidates are advised to go through all the topics within the curriculum but pay major emphasis on the topics highlighted here. These topics are covered every year in GATE examination and hence are most likely to be covered for 2024 as well. Given the extensive syllabus, students who haven’t yet started with the preparation can consider these topics for smart, and quick study.
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GATE 2024: Engineering Mathematics Important Topics
The following table displays the names of all subjects, and important topics from each from GATE 2024 Engineering Mathematics syllabus:
Subjects | Important Topics |
|---|---|
Linear Algebra | Eigen Values and Eigen Vectors |
Linear System of Equations | |
Vector Space and Basis - Only ECE | |
Calculus | Limits, Continuity, and Differentiability |
Mean, Value, Theorems | |
Maxima, Minima | |
Definite Integrals | |
Multiple Integrals | |
Volumes | |
Strokes, Gauss Divergence, and Greens Theorem | |
Differential Equations | First Order Differential Equations (Variable Separable DE, Homogenous DE, Exact DE, Linear DE) |
Higher Order Linear Differential Equations with Constant Coefficients | |
Method of Parameter Variations | |
Euler-Cauchy Linear Differential Equations | |
Partial Differential Equations | |
Functions of Complex Variables | Analytic Functions |
Contour Integrals of Complex Functions | |
Cauchy-Integral Formulas and Residues | |
Probability and Statistics | Basics of Probability |
Conditional Probability | |
Counting Principle | |
Theorems of Probability | |
Discrete Random Variables | |
Binomial and Poisson Distribution | |
Continuous Random Variables | |
Normal Distribution | |
Numerical Methods | Numerical Integration |
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