# GATE 2024: Engineering Mathematics Important Topics

As GATE 2024 will be held on February 3, 4, 10, and 11, find here the important topics to study from GATE 2024: Engineering Mathematics syllabus. The important topics are analyzed based on the previous year’s question paper.
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.

## 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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