GATE 2024 correction window yet to open; fee, syllabus
Divyansh | November 8, 2023 | 10:57 AM IST | 1 min read
GATE 2024 exam will be held for 30 subjects on February 3, 4, 10 and 11.
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Try NowNEW DELHI: The Indian Institute of Science (IISc Bangalore) has not opened the GATE 2024 correction window. The GATE 20204 correction window was scheduled to open yesterday.
The examination authority said the delay is due to some operational aspects. “We will announce the dates via social media as well as by email to all registered candidates,” it added.
The GATE 2024 exam will be held for 30 subjects on February 3, 4, 10 and 11 and the result will be released on March 16. Candidates can change details such as name, date of birth, examination city, paper category and gender by paying a fee of Rs 500. They will have to pay a fee of Rs 1,400 to change gender from female to any other category and category from SC or ST to any other.
GATE 2024: How to edit application form
Candidates can follow these steps to edit their GATE 2024 application forms :
- Visit the official website, gate2024.iisc.ac.in
- Click on GOAPS portal link
- Login using your email ID and password
- Click on ‘edit application form’ link
- Make the necessary corrections and click on submit.
GATE syllabus 2024 for Chemical Engineering
- Engineering mathematics
- Process calculations
- Fluid mechanics and mechanical operations
- Chemical reaction engineering
- Thermodynamics
- Heat transfer
- Mass transfer
- Instrumentation and process control
- Plant design and economics
- Chemical technology
Biotechnology
- Engineering mathematics
- General biology
- Genetics, cellular and molecular biology
Architecture Planning
- Architecture and design
- Building and structures
- Building materials, and construction management
- Urban design
- Environmental planning and design
- Urban planning and housing
- Planning techniques and management
- Services, transportation and infrastructure
Also Read | JEE Main Registration 2024: How to apply for session 1, 2; What's new this year?
Data Science and Artificial Intelligence
- Probability and statistics
- Linear algebra
- Calculus and optimisation
- Programming, data structures, and algorithms
- Database management and warehousing
- Machine learning
- Artificial intelligence
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