RVR JC Reviews on Placements, Faculty and Facilities

The course curriculum is good and faculty members are given support on studies. They create a WhatsApp group and join students in that group. They share required notes to prepare for exams. This course is different compared to computer science engineering. The faculty is available at any time to solve our doubts. The qualification for faculty is pg, p.hd, m.sc, etc. The teaching method is on the blackboard. some faculty will use PPT for nonwrittenable concepts. There are 2-semester exams per year. Before one semester there are two midterms. we exams followed by semester topics. we have to score 30 marks on mid exam and 70 marks on the semester. On mids, an inter mark will be added to the semester. semester pass marks are 40 marks out of 100.

The faculty is absolutely perfect teaching in a very practical way and exams are conducted in a pressurized mode yup it is not that difficult to pass because if you study and understand the theme you will pass easily and student ratio. Is also fine to fit in the class.

Being the most demanding course in these recent days, And being a part of the company and helping the organisation take data-driven decisions interested me in this Course. In our College for every faculty member, there are around 10 students. Every Faculty of our College is at least a Mtech or PhD graduate. The Mid and Sem Exams will be conducted in a timely manner according to a timely manner as per the schedule given by ANU, The exams conducted are Strict and fair Enough and The Evaluation is also Fair Enough.

Our college is providing many more companies as placements and providing better training programs to crack placement programs with high packages and from other outer sources also they provide various activities to build students' careers.

Nowadays data science is very popular and everything relies on data. So I have chosen this course the curriculum that prepared ina order in which it useful for both CSE and DATA SCIENCE students and The way of teaching of faculty is very nice.

There is a placement cell in the college. The committee members will see all the details about placements. There are many companies offered to our students like Amazon, Tcs, Capgemini, Wipro, etc. The highest package is 40 lakhs and the average package is 5 lakhs.

From third year 2nd sem students are eligible for campus placements. The nearly last year 1000 members were placed and the companies visited like Accenture, wipro, tcs, tcs ninja, Amazon, cisco etc. The highest package is 32 lpa. And average package is 7-8 lpa 80% of the students getting placed. I'm looking for a campus placement.

In the 7th semester, students are eligible for placements without backlogs. The companies visited are TCS, Infosys, and Accenture, Delta x, cognizant, epam, etc. The highest package is 4400000 per annum and the average package is 360000. A minimum of 70 percent of the students got placed. My plan is are get a job in campus placement.

I choose this course because of my great interest in this field and this course also gives us a promising future. It is one of the widely growing computer science branches. Two mid-term examinations are conducted before the semester end examination. These mid-term exams are moderately difficult and one should be well-versed in the subject to pass.

The students are eligible for placements at the 4th year first semester, there are a good number of companies visit our college every year and they provide good packages, around 70% of students are getting placed every year