Year | 1 | 2 | 3 | 4 |
---|---|---|---|---|
Tution fees | ₹149000 | ₹149000 | ₹149000 | ₹149000 |
Total Year Wise fees | ₹1.49 Lakhs | ₹1.49 Lakhs | ₹1.49 Lakhs | ₹1.49 Lakhs |
Events | Dates |
---|---|
Verification of online Filled application Forms at HSTES (B.Tech) | Ongoing May 30, 2024 - Jul 25, 2024 |
Online Registration and Deposition of Registration Fees Online [HSTES] (BE/B.Tech) | Ongoing May 29, 2024 - Jul 25, 2024 |
HSTES registration | Ongoing May 29, 2024 - Jul 25, 2024 |
Registration for fresh candidates for 2nd Online Centralized Counseling and Fee Deposition [HSTES] (B.Tech) | Aug 05, 2024 - Aug 07, 2024 |
Counselling | Ongoing Jul 19, 2024 - Aug 07, 2024 |
LEET 2024 Application Process | Upcoming Aug 01, 2024 - Aug 31, 2024 |
LEET 2024 Result | Tentative Sep 05, 2024 |
LEET 2024 Admit Card | Tentative Oct 04, 2024 |
JEE Main 2025 Registration (Session - 1) | Tentative Nov 01, 2024 - Dec 04, 2024 |
JEE Main 2025 Admit Card (Session - 1) | Tentative Jan 17, 2025 |
Events | Dates |
---|---|
Online Registration and Deposition of Registration Fees Online [HSTES] (BE/B.Tech) | Ongoing May 29, 2024 - Jul 25, 2024 |
Verification of online Filled application Forms at HSTES (B.Tech) | Ongoing May 30, 2024 - Jul 25, 2024 |
Registration for fresh candidates for 2nd Online Centralized Counseling and Fee Deposition [HSTES] (B.Tech) | Aug 05, 2024 - Aug 07, 2024 |
Events | Dates |
---|---|
JEE Main 2025 Registration (Session - 1) | Tentative Nov 01, 2024 - Dec 04, 2024 |
JEE Main 2025 Admit Card (Session - 1) | Tentative Jan 17, 2025 |
JEE Main 2025 Exam Date (Session - 1) | Tentative Jan 24, 2025 - Jan 31, 2025 |
JEE Main 2025 Result (Session - 1) | Tentative Feb 13, 2025 |
JEE-Main counselling | Tentative Jun 10, 2025 - Jun 18, 2025 |
Events | Dates |
---|---|
LEET 2024 Application Process | Upcoming Aug 01, 2024 - Aug 31, 2024 |
LEET 2024 Result | Tentative Sep 05, 2024 |
LEET 2024 Admit Card | Tentative Oct 04, 2024 |
Events | Dates |
---|---|
HSTES registration | Ongoing May 29, 2024 - Jul 25, 2024 |
Counselling | Ongoing Jul 19, 2024 - Aug 07, 2024 |
The 2024 HSTES round 1 cutoff rank for the Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) at PIET was 992225 for the General category.
The 2024 JEE Main round 1 cutoff rank for the Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) at PIET was 992225 for the General category.
10+2 with Physics, Mathematics as compulsory subjects & Chemistry/Computer Science/Informatics Practices as optional Subject, obtaining at least 45% marks (40% marks in case of SC/ ST category). Admissions to B.Tech. Courses are based on JEE Merit Rank.
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Course curriculum is quite good like we have teachers who have som knowledge about there subject but the course have so much of unwanted subject in it sector like MPW,EGD,BIO in the very 1 and 2 sem and the 2 sem periods is very low like 4 months including exams
Likes
•I chose this course due to its large scope in the future and I want to learn AI. •Faculty members are very lenient and supportive. There are approx 12 sections(70 students in each) in this course. •The faculty members are PhDs and masters in their subjects. Tutorials are also there to interact with students. •In every semester there are three sessional exams, in every month And it is very easy to pass.
I want to pursue Computer Science Engineering and this course is the cheapest if we compare it from any other Faculty: student ratio is 1:10 Qualification of teachers is maximum are M.tech and pursuing Ph.D.The teaching method is quite good and varies from teacher to teacher After 4 -5 month sem exam will be started and if you study little bit time to time then you can easily pass
I chose this course as I was fond of Artificial intelligence technology. The faculty's student ratio is not that bad. Instead, there are well-experienced faculties, and professors in every respective course. Termly exams are conducted as per the timeline of Kurukshetra University every 6 months. The paper's difficulty depends upon the university.
I chose this course because of the emergence of needs in our society. The faculty-student ratio is well balanced in every department. Faculties are also well qualified and much experienced. It is affiliated with Kurukshetra University and is difficult to pass the term exams if you don't study and do not attend your classes properly.
So I choose Bachelor of Technology - Computer Science and Engineering (Artificial Intelligence and Machine Learning) because it has wide scope in future IT industries. Faculty is also good here, but specialized faculty is not available in more numbers. Student-Teacher ratio is about 1:50. All the faculty here well qualified and some of the faculties are PhD holders. The exams are really good and always on time.
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