GOOD LEARNING EXPOSURE THROUGH INTERNSHIP

I chose this course because it includes modern and industry-relevant subjects such as Artificial Intelligence, machine learning, Python programming, and core engineering fundamentals. The curriculum provides a good balance between theory and practical labs which helps in understanding real-world applications. It prepares students for internships, projects, and higher studies. However, more hands-on projects and live industry case studies can be added to improve learning. Exams are conducted through internal assessments and semester end exams, and the difficulty level is moderate. The timing of exams is well planned, and the evaluation process is mostly fair.

Students become eligible for campus placements from the 6th semester onwards. The college invites companies from IT services, startups, and core technology domains. Some of the companies that usually visit include mid-level software firms and service-based companies, offering roles such as software developer, machine learner and testing engineer. The highest package offered recently was around 10 LPA and the average package is about 5 LPA. Nearly 60–70% of students get placed every year. After completing my degree, I plan to secure a job in the IT or AI field and later pursue higher studies.

112410 rupees for KCET students . Tuition fees -112410 , admission fees-1000 Lab fees-6000. For SC,ST category there is full fees conssetion. Farmer quota , if you score 90 above percentage in 12th then they will reduce 30000

Campus life in my college is active and engaging with a good mix of academic and cultural activities. The college conducts annual cultural and technical fests, usually held between February and April, which help students showcase their talents. The library has a good collection of textbooks, reference books, and online journals that are easily accessible to students. Classrooms are equipped with projectors and smart boards which make learning more interactive. The college also encourages sports like cricket, volleyball, and indoor games. There are technical clubs and student groups which improve communication skills and teamwork.

I applied to a few colleges including M.S. Ramaiah University of Applied Sciences and some other private engineering colleges in Karnataka. I received confirmed admission from my current college and a few others, but I chose this college because of its better course structure in Artificial Intelligence and Machine Learning, affordable fee structure, and supportive faculty environment. I could not secure admission in some colleges due to higher cut-off ranks and limited seats. The admission process of my college was simple and transparent, based on eligibility criteria, entrance exam scores, and document verification. Overall, the admission experience was smooth and student-friendly.

The faculty to student ratio in my department is approximately 1:25, which helps in maintaining good interaction between students and teachers. Most faculty members are approachable and supportive, especially during internal assessments and lab sessions. I liked a few faculties because they explain concepts clearly and encourage us to ask questions. However, some faculties rely too much on slides instead of practical teaching. There are two internal assessments and one semester end exam for major subjects. The difficulty level of exams is moderate and based mainly on the syllabus taught. Around 10–15% students find it difficult to clear some core subjects. The marking scheme is fair and transparent, and the course curriculum is relevant to industry requirements like Artificial intelligence and machine learning.

The nightlife around the college campus is calm and student friendly. Most college canteens close by evening, but there are a few small cafés, bakeries, and tea stalls near the campus that remain open till around 9 or 10 PM. Hostel students usually spend time with friends inside the campus by studying together or relaxing in common areas. The campus has fixed entry and exit timings for hostels which ensures safety. There are a few safe hangout spots outside the campus such as small restaurants and fast food centers, and the locality is generally safe to roam around at night.