How to prepare for Engineering Maths for GATE exam?

How to prepare for Engineering Maths for GATE exam?

How to prepare for Engineering Maths for GATE exam?
Suman Adhikari

Welcome, aspiring engineers! The Graduate Aptitude Test in Engineering (GATE) is your gateway to postgraduate studies in esteemed institutions and lucrative job opportunities in the engineering field. 

Among its various sections, Engineering Mathematics holds a significant weightage. 

This article delves into comprehensive strategies to help you ace the Engineering Maths section in the GATE 2023 exam. Let's dive in!

How to Prepare for Engineering Maths for GATE Exam 2023?

Engineering Mathematics is vital to the GATE exam, testing your mathematical understanding and problem-solving skills. Here's a step-by-step guide on how to prepare effectively:

Understanding the Syllabus

Before you dive into preparation, it's crucial to understand the syllabus thoroughly. The syllabus for Engineering Maths in the GATE 2023 exam includes topics like Linear Algebra, Calculus, Differential Equations, Probability & Statistics, and Numerical Methods. Make sure to get a clear grasp of these topics.

Create a Study Schedule

Time management is critical to successful GATE preparation. Create a well-structured study schedule that allocates sufficient time to each topic. Allocate more time to challenging subjects and revise regularly to retain the concepts.

Gather Study Materials

Collecting suitable study materials is essential. Refer to standard textbooks and study guides recommended by experts. Online resources, lecture notes, and video tutorials can also be valuable additions to your study arsenal.



Essential Engineering Mathematics

Michael Batty

Advanced Engineering Mathematics


Advanced Engineering Mathematics

Erwin Kreyszig

Advanced Engineering Mathematics

H.K.Dass, S. Chand

Learn Concepts Thoroughly

Focus on understanding the underlying concepts rather than rote memorisation. Break down complex topics into smaller components and tackle them systematically.

Practice Regularly

"Practice makes perfect" holds for Engineering Maths. Solve a variety of problems from different difficulty levels. Previous years' GATE question papers can provide insight into the exam pattern and help you identify essential topics.

Utilise Shortcuts and Tricks

Mathematical shortcuts and tricks can significantly speed up problem-solving. Learn these techniques to save time during the exam.

Seek Clarifications

Feel free to seek clarification if you're stuck on a concept or problem. Join online forums, participate in study groups, and interact with fellow aspirants to gain different perspectives.

Take Mock Tests

Mock tests simulate the natural exam environment and help you evaluate your preparation. Analyse your performance, identify weaknesses, and work on improving them.

Also, See Top Engineering Colleges in India

Time Management During the Exam

During the exam, manage your time wisely. Start with the more straightforward questions and allocate sufficient time to each section. Stay focused on a single question for a short time.

Stay Calm and Confident

Maintain a calm and confident demeanour during the exam. Anxiety can hinder your performance. Trust in your preparation and tackle each question with a positive mindset.

Analysis of Subjects and Key Concepts in Engineering Mathematics

Regardless of whether the individual has attained a degree in Electrical, Mechanical, Civil, or any other field, Engineering Mathematics maintains a consistent weightage of 15% across all specialisations. 

Hence, a candidate aspiring to excel in the GATE examination must have a solid grasp of Engineering Mathematics. The syllabus for Engineering Mathematics is uniform mainly across specialisations, barring a few variations, such as the inclusion of transform theory in Electrical and Electronics and Discrete Mathematics in Computer Science Engineering.

Also, See 5 Hacks to Help You Prepare for Exams

Linear Algebra (Applicable to all streams): 

When preparing for linear algebra, candidates should concentrate on understanding Eigenvalues and vectors and comprehending the concepts of rank and determinant of matrices, along with solving systems of linear equations. 

However, it's advisable to omit topics related to basis vectors and the formation of an n-dimensional space through the span of basis vectors.

Calculus (Applicable to all streams): 

In calculus, candidates should focus on the concepts of maxima and minima in single-variable calculus. An essential topic is vector calculus, which covers crucial aspects like Gradient, Divergence, Curls, and Vector Integral Theorems. Occasionally, questions concerning Limits may also arise.

Differential Equations (Applicable to all streams): 

The GATE exam often includes questions involving general problem-solving for differential equations. In addition to first-order equations, candidates should be well-prepared for dealing with Bernoulli's and Euler's Differential Equations.

Probability and Statistics (Applicable to all streams): 

A candidate's proficiency in probability and statistics can be enhanced by practising many questions related to Bayes’ Theorem, Random Variables (including Poisson's Distribution), key statistical measures like mean, median, and mode, and concepts like the coefficient of correlation. Mastery of these topics is instrumental in achieving a solid foundation in probabilities and statistics.

Complex Analysis (Not applicable to GATE CS): The study of Complex Analysis is relatively concise. Candidates should focus solely on the Cauchy-Riemann Equations, the Residue Method of Integration, and the Taylor series.

Numerical Methods (Not applicable to GATE CS): 

When delving into Numerical Methods, candidates should pay close attention to essential formulas for methods like the Trapezoidal Rule and Simpson’s Rule. Extensive practice in solving equations using techniques such as the Newton-Raphson and Bisection and numerical integration methods is highly recommended.

Transform Theory (Applicable to GATE EE and ME): 

For candidates pursuing GATE EE and ME, a solid understanding of topics like Laplace and inverse Laplace transforms is sufficient for this chapter.

Discrete Mathematics (Applicable only to GATE CS): 

Computer Science students should prioritise topics like Graph connectivity and colouring, Mathematical Logic encompassing Propositional and Predicate logic, Relations, and Functions. 

Expected question patterns in discrete mathematics contain tasks such as identifying tautology, satisfiability, and equivalences of given propositional statements, as well as determining properties of graphs such as the number of edges, vertices, or components in connected or disconnected graphs, assessing isomorphism, and analysing properties of various graph types like complete graphs, bipartite graphs, regular graphs, cycle graphs, and line graphs.

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How vital is Engineering Mathematics in the GATE exam?

Engineering Mathematics holds a weightage of approximately 15% in the GATE exam. It's crucial for both the General Aptitude section and subject-specific papers.

Are calculators allowed in the GATE exam?

No, calculators are not allowed in the GATE exam. You'll need to rely on your problem-solving skills and mental calculations.

Can I skip tough topics and focus on easier ones?

While it's good to prioritise more accessible topics, skipping tough topics entirely isn't recommended. A balanced approach ensures you have a well-rounded understanding of the syllabus.

Is practising previous years' question papers sufficient?

Practising previous years' question papers is beneficial but should be more than just your preparation strategy. Combine it with thorough concept learning and mock tests.

How can I improve my speed in solving mathematical problems?

Improving speed comes with practice. Focus on learning shortcuts and practising regularly to enhance your problem-solving speed.

Can I use online tutorials for preparation?

Yes, online tutorials can be helpful, especially for clarifying doubts and learning specific techniques. However, rely on recognised sources and only partially depend on them.

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