GATE 2024 Introduces Data Science and Artificial Intelligence (DA)

The Graduate Aptitude Test for Engineers (GATE) 2024 has been launched by the Indian Institute of Science (IISc), Bangalore recently released an interesting modification to the course syllabus for the year 2024, which is an important change that reflects the evolving environment of technological Development. With the addition of a special paper, aspiring candidates can now explore the worlds of Data Science and Artificial Intelligence (DA) considerably expanding the range of subjects covered by this recognized test. The number of papers in the coming GATE 2024 exam will grow from the previous record of 29 papers to a total of 30 papers.

About GATE

GATE is a national-level exam that evaluates full knowledge of multiple undergraduate topics in engineering, technology, architecture, science, commerce, and the arts. The GATE 2023 exam is set to be a computer-based examination (CBE).

The qualification required for admission or financial assistance to Master’s degrees and doctoral programs in engineering, technology, and architecture, as well as Doctoral programs among relevant branches of the arts and sciences, at institutions supported by the MoE and other Government agencies.

Additionally, in a few universities and institutes that enroll students who do not have an MoE scholarship or assistantship, the GATE score is required. Furthermore, several public sector organizations use the GATE result in their recruitment procedures.

Eligibility Criteria

Candidates can apply for the GATE 2024 exam if they are enrolled in their third or higher year of any undergraduate program or if they have already finished any government-approved bachelor’s degree in engineering, technology, architecture, science, commerce, or the arts.

Registration process

• Registration for GATE 2024 opens on August 30, 2023.
• Closing 29th September 2023 is the deadline for ordinary online registration and application processes (without a late fee).
• Closing 20th October 2023 marks the start of the extended online registration/application process (with a Late Fee).
• New Two-Paper Combination is available from 11th to 17th November, 2023
• Changes to the GATE 2024 Application: November 18-24, 2023
• GATE admit cards will be available for download on January 3, 2024

Website link: gate2024.iisc.ac.in

GATE 2024 Syllabus for Data Science and Artificial Intelligence (DA)

The detailed GATE Data Science and AI syllabus for 2024 is now available on the IISc Bangalore website. Candidates should familiarize themselves with the syllabus before taking the exam.

Below mentioned is the syllabus of GATE 2024 Data Science and Artificial Intelligence.

Topic	Sub-Topics
Probability and Statistics	Counting (permutation and combinations), probability axioms, Sample space, events, independent events, mutually exclusive events, marginal, conditional and joint probability, Bayes Theorem, conditional expectation and variance, mean, median, mode and standard deviation, correlation, and covariance, random variables, discrete random variables and probability mass functions, uniform, Bernoulli, binomial distribution, Continuous random variables and probability distribution function, uniform, exponential, Poisson, normal, standard normal, t-distribution, chi-squared distributions, cumulative distribution function, Conditional PDF, Central limit theorem, confidence interval, z-test, t-test, chi-squared test.
Linear Algebra	Vector space, subspaces, linear dependence and independence of vectors, matrices, projection matrix, orthogonal matrix, idempotent matrix, partition matrix and their properties, quadratic forms, systems of linear equations and solutions; Gaussian elimination, eigenvalues and eigenvectors, determinant, rank, nullity, projections, LU decomposition, singular value decomposition.
Calculus and Optimization	Functions of a single variable, limit, continuity and differentiability, Taylor series, maxima and minima, optimization involving a single variable.
Programming, Data Structures and Algorithms	Programming in Python, basic data structures: stacks, queues, linked lists, trees, hash tables; Search algorithms: linear search and binary search, basic sorting algorithms: selection sort, bubble sort and insertion sort; divide and conquer: mergesort, quicksort; introduction to graph theory; basic graph algorithms: traversals and shortest path.
Database Management and Warehousing	ER-model, relational model: relational algebra, tuple calculus, SQL, integrity constraints, normal form, file organization, indexing, data types, data transformation such as normalization, discretization, sampling, compression; data warehouse modelling: schema for multidimensional data models, concept hierarchies, measures: categorization and computations.
Machine Learning	(i) Supervised Learning: regression and classification problems, simple linear regression, multiple linear regression, ridge regression, logisic regression, k-nearest neighbor, naive Bayes classifier, linear discriminant analysis, support vector machine, decision trees, bias-variance trade-off, cross-validation methods such as leave-one-out (LOO) cross-validation, k-folds cross-validation, multi-layer perceptron, feed-forward neural network; (ii) Unsupervised Learning: clustering algorithms, k-means/k-medoid, hierarchical clustering, top-down, boƩom-up: single-linkage, multiple-linkage, dimensionality reduction, principal component analysis.
AI	Search: informed, uninformed, adversarial; logic, propositional, predicate; reasoning under uncertainty topics – conditional independence representation, exact inference through variable elimination, and approximate inference through sampling.

The introduction of a new paper on Data Science and Artificial Intelligence (DA) in GATE 2024 is a welcome move that reflects the growing importance of these fields. Data science and artificial intelligence are rapidly transforming the way we live and work, and they are becoming increasingly essential for a wide range of careers.

The GATE 2024 exam is a national-level examination for engineering graduates who wish to pursue higher education in engineering, science, and technology. The introduction of a DA paper will provide aspiring engineers with the opportunity to gain the skills and knowledge they need to succeed in these fields.