GATE 2024 Registration Starts: The Graduate Aptitude Test in Engineering (GATE) is a crucial examination for aspiring engineers and technologists. The Indian Institute of Science Bangalore (IISc Bengaluru) has announced that GATE 2024 registration will commence on August 24. With the introduction of new subjects and updates in the syllabus, GATE 2024 promises an enhanced examination experience. This SEO article offers a comprehensive overview of the GATE 2024 registration, new subjects, and syllabus updates.
GATE 2024 Registration Details
The registration process for GATE 2024 is set to begin on August 24. Aspiring candidates can register on the official GATE website. This examination offers opportunities across a wide spectrum of subjects, making it a vital gateway for higher education and employment prospects.
New Subjects and Syllabus Updates 2023
GATE 2024 brings fresh perspectives with the introduction of new subjects and syllabus updates. Notably, the Data Science and Artificial Intelligence paper has been added to the GATE 2024 lineup. This addition reflects the evolving technology landscape and the growing importance of these fields in various industries.
Important Dates for GATE 2024
Here are the key dates for GATE 2024 as per the schedule announced earlier:
- Registration Start Date: August 24
- Last Date for Application Submission: September 29
- Extended Application Submission Deadline: October 13
- Examination Dates: February 3, 4, 10, 11, 2024
Two-Paper Combination Option 2023
GATE 2024 introduces a new feature allowing candidates to appear for a maximum of two papers. However, the second paper must be chosen from a predefined two-paper combination announced by IISc Bangalore. This flexibility empowers candidates to strategically align their choices with their strengths and career goals.
GATE 2024 Data Science and AI Syllabus
The Data Science and Artificial Intelligence paper’s syllabus is expansive and includes:
- Probability and Statistics: Covering concepts such as permutations, combinations, probability axioms, correlation, and more.
- Linear Algebra: Exploring vector spaces, matrices, projection, and orthogonal matrices.
- Programming, Data Structures, and Algorithms: Delving into Python programming, basic data structures, and search and sorting algorithms.
- Database Management and Warehousing: Addressing topics like relational models, SQL, data types, and data transformation techniques.
- Machine Learning: Encompassing supervised and unsupervised learning, regression, classification, clustering, and dimensionality reduction.
- Artificial Intelligence: Covering search algorithms, logic, reasoning under uncertainty, and more.
