Question: How is the course curriculum for B.E. / B.Tech at Jyothy Institute of Technology - JIT?
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1 Answer
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{Source: B.E. / B.Tech students & alumni}
Structure
* The course curriculum at JIT is designed by VTU (Visvesvaraya Technological University), and all colleges under VTU are expected to follow it.
* According to some students, the course curriculum is good, but others feel that it could be improved by focusing more on practical knowledge than theoretical knowledge.
Teaching Style
* Faculty members use various teaching techniques, such as digital and chalkboard methods, to explain concepts.
* Teachers provide guidance and support to students, helping them build necessary skills.
* However, some students have reported that some faculty members...more
Similar Questions for you
Jyothy Institute of Technology accepts COMEDK entrance exam scores for admission to the BE/ BTech courses. For 2024 admission, COMEDK cutoff has been announced, wherein B.E. in Artificial Intelligence and Machine Learning stands out as the most in-demand course with a the lowest round 3 closing rank of 43320 for the General AI quota. Candidates can refer to the table below to check out the COMEDK cutoff 2024 for Jyothy Institute of Technology for the General AI category students. The cutoff data available below is for Round 3.
Course | 2024 |
---|---|
B.E. in Computer Science and Engineering | 55243 |
B.E. in Artificial Intelligence and Machine Learning | 43320 |
Jyothy Institute of Technology accepts COMEDK scores for admission to the BE/BTech courses. As per the Round 2 of the COMEDK cutoff 2024, the ranks ranged between 82308 and 99899 wherein Computer Science and Engineering was the most competitive specialisation. So yes, candidates with a cutoff rank up to 10001 can get admission at JIT.
To know what all BE/ BTech courses are available up to 10001 rank at Jyothy Institute of Technology, refer to the table below:
Course | 2024 |
---|---|
B.E. in Computer Science and Engineering | 99899 |
B.E. in Information Science and Engineering | 93842 |
B.E. in Artificial Intelligence and Machine Learning | 82308 |
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