What was the closing rank for TS EAMCET for admissions to B.Tech CSE branch (Artificial Intelligence and Machine Learning last year?
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1 Answer
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Admissions to various GNITC BTech courses including BTech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) are made based on TS EAMCET. The closing rank for 2023 admissions stood at 17588. Refer to the table below to know the past three years closing rank for BTech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at GNITC:
Course
2021
2022
2023
BTech in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
47614
18053
17588
Similar Questions for you
Candidates can access the TS EAMCET mock tests either from the official website which is free of cost or from third party edutech website, which provide the mock tests for a small amount.
The TS EAMCET mock test, provides candidates with an actual exam like feel. When students access the mock test, they can -
- Solve it online by referring to the questions and know the types of questions asked in the exam.
- There is a timer also just like the exam centre which helps students to keep track of the time.
- It helps students increase their question solving ability.
- It helps students increase their efficiency and speed of solving the questions.
- Mock tests are the best way to prepare for the TS EAMCET exam.
The TS EAMCET mock test is just like a practice session which can accessed via any third party edutech platform. It provides candidates with an actual exam-like feel. To ensure they prepare for the exam effectively.
To prepare for the TS EAMCET exam, candidates can refer to the NCERT books, however, they can also take help from supplementary books, but over burdening oneself with a lot of books is not recommended.
If candidates have focused well in their 10 and 10+2 classes, they can easily qualify in the exam. The question paper is similar to popular engineering entrance exams such as JEE Mains, but the difficulty level is of easy to moderate.
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