Amity University Noida B.Tech Admissions 2025
ApplyAmong Top 30 National Universities for Engineering (NIRF 2024) | 30+ Specializations | AI Powered Learning & State-of-the-Art Facilities
Among Top 30 National Universities for Engineering (NIRF 2024) | 30+ Specializations | AI Powered Learning & State-of-the-Art Facilities
Apply for Online MBA from Manipal Academy of Higher Education (MAHE)
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NAAC A+ Grade | Among top 100 universities of India (NIRF 2024) | 40 crore+ scholarships distributed
1000+ Recruiters | 450+ Patents | 50000+ Alumni network
Hands on Mentoring and Code Coaching | Cutting Edge Curriculum with Real World Application
Facilities are good, and infrastructure is average. Wi-Fi facility is available in both the hostel and college. The lab is okay, the classroom is okay, and the library is simple here. The hostel has an available theater. The canteen food is okay, but they put sambar daily. There are no medical facilities, but sports and games are available.
Teachers are overall okay, helpful, qualified, and knowledgeable. They teach the course curriculum is okay, but the semester exams are difficult in important subjects. Overall, it's okay. My percentage is 8.72 CGPA, and I have an O grade. Please help me with placements, ma'am/sir, because I am a talented person.
Facilities are good, and infrastructure is average. Wi-Fi facility is available in both the hostel and college. The lab is okay, the classroom is okay, and the library is simple here. The hostel has an available theater. The canteen food is okay, but they put sambar daily. There are no medical facilities, but sports and games are available
My classroom has fast Wi-Fi and neat halls with AC. Hostel has rooms with attached bathrooms and also has common bathrooms. Every night our hostel has a doctor meeting with the medicine. Mess has 100 fans. Sports are studied without fees and study in the same college
Our teachers are well-studied, they conducted the interview to select the well-qualified teachers to teach. Our college provides an industrial visit every week. Semester exams are very easy to write with your own words, you will not fail in exams.
89% of the marks are placed in my course. Minimum salary Rs 10,000 per month to Rs 2,00,000 per month is offered in my course. L&T and Infosys companies offer placements to my college. 50% of people got internships from my course at Infosys. Jobs are offered in IT company and trading company.
My college infrastructure is very very nice because wherever you look there are trees that look like a nature garden and it has maybe around 300 trees on our college campus. The boy's hostel looks nice with the badminton ground inside the hostel and has many fruits tree inside it.
In my college, faculty teach in the common language English and they teach on digital screens to help the students understand and provide practical skills for each subject. Exams are not tough once you understand the lessons. The passing mark for each subject is 50 and with the blended course, the passing marks are 35.
My college provides placement with companies like IBM, TCS, Infosys, and some other companies. The highest package is I think 10 LPA and the lowest is 4 LPA. In my college, 50% of students are placed in companies and they are working as coders to do coding or web development.
Wi-Fi is available in hostels, mess, canteen, academic blocks, etc. The new library opened last year and is very big, with access to a variety of books. Labs are well-equipped. The new sports complex opened last year and has all games available. Mess food is not good most of the
Teaching quality is very good and faculty is helpful and you can do projects under them. Course curriculum is a bit outdated but they are changing it for our juniors. Here it is fractal academics so the grading policy depends on the instructor. Apart from one or two instructors most of them are not much strict.
Around 60-70% of students from my Mechanical Engineering branch were placed, with a total batch strength of approximately 60 students. Out of these, around 10 secured core placements, primarily in PSUs like BPCL BEL and IOCL, as most core companies prefer M.Teach graduates. The rest of the placed students moved into non-core sectors like IT and management, joining
The hostel is excellent, spacious, and has charming architecture. There are single rooms for 2nd years and above. The food in the mess is good too with lots of variety even if it tends to get boring after a while. The library is also known as the Knowledge Research Center. It is very big with lots of books and e-resources. Labs are equipped with the best possible and updated equipment. The Wi-Fi is super fast here, in the full campus.
Most teachers are helpful, especially when you want to do projects and learn more things under their tutelage. The course curriculum is pretty updated and gives a lot of time for individual learning. The resources for the courses are many. Exams usually depend on the professors, as their grading scheme. The syllabus is the deciding factor for the CGPA.
The course I chose, engineering is more research-oriented. This year, only 5 out of 40-25 students got placed. But I am sure only 10-15 applied for placements as most are inclined to research. Internships are offered by multiple types of companies like software companies but also other ones like LIGO. Some people did internships in universities in Germany too. TVS, TCS, wipro are majority company . To conduct placement in our college.
Our college maintains good infrastructure and good hostel facilities. Wi-Fi access all over the Campus. Nice sports, games, and good facilities for extracurricular activities are available. The mess food for hostellers is provided every day. Our college has been awarded NAAC Grade A.
Our curriculum is based on the regulations of 2022, following the guidelines set by Anna University. It is designed to meet industrial needs and aligns with Industry 3.0 learning. This makes it easier for students to get a job. Our curriculum is purely focused on future needs.
In the past few years, many companies have visited our college and recruited many students. These students are placed in top MNCs each year. In the future, the number of companies increased gradually to a greater extent. The basic package ranges from 2 LPA to 3 LPA
The facilities and infrastructure of our department are quite well and advanced. We have AI and data science labs to create own our basic AI model. The Wi-Fi speed will beat the 40-35 average, the highest is 100 Mbps and the lowest is 20 Mbps. Quality of hostel and food everything is quite well.
All faculty members got a Ph.D. in fine colleges and universities. They are super excited to have a chat or a lecture with us and share their knowledge and experiences with the students here. Most importantly they are super friendly and we the students will be ready for the outside world.
85% of students in the 2020-2024 batch are placed and still the placements are going on. The highest package is 47 LPA. The lowest package is 3 LPA, and the average salary is 12 LPA. Top companies are TCS, Hitachi, and other companies like IBM, etc.
My J. N. N. College has the all kind of infrastructure facilities. For software-related students to improve their coding knowledge, they use Apple labs. To improve the entrepreneurship skills of students, our college has an incubation lab for future entrepreneurs. The quality of the food available in the mess and canteen is like hotel food, and a different, tasty menu is available daily.
Maximum faculty members are very knowledgeable. They guide us to improve the student's study as well as the student's extra skills. In the first year, faculty members make students industry-ready. The semester exams are very easy to pass and to get a good CGPA because they conduct Internal Assessment 1, and Internal Assessment 2, as well as model for gaining more knowledge.
In my artificial intelligence and Data science course, 70% of students get placed in top recruitment companies like Infosys and TCS with an average salary package of 4LPA. All of they guide students to get internships in top companies and offer suitable roles according to the students.
Every Department Has separate Wi-Fi, labs, and libraries facilities. Hostels with full Wi-Fi are provided, and our college has good infrastructure. Facilities like milk are available in our hostel. During exam time, tea is provided in our hostel. Canteens are available, and the food quality is very good. Medical facilities and sports facilities are there. It is a very good college with beautiful infrastructure.
Maximum faculty members are PhD holders. Teaching quality is very good, and faculty is intelligent. The college prepares students ready for the industry. It is not difficult to pass in this college, with a pass percentage of 78.4%.
More than 75% of students are placed in our course. The highest package in our course is 2 LPA. The lowest package in our course is 1 LPA. The average package in our course is Rs.75,000. Top companies visit our college. Internships in software companies, HR roles, and AI scientist positions are offered.
I like my College infrastructure very well. It is excellent and maintained good alwayst. They made the hostel infrastructure like a home environment and planted plenty of trees. This college was an environment-friendly college. Classrooms in this college were well-designed and had projectors and speakers for adopt latest technologies.
Faculty taught us in a friendly way. They explained the lessons with real-life examples, which made students understand it easier. They did not just teach for the B.E., they taught us to become future software developers. The semester exams were easy to write because the teachers had already taught those concepts easily so we could write. The pass percentage was 70%.
Every year, most students got placements my college. The highest package in our college was 13 LPA, and the minimum package was 7 LPA. All students got their job placements based on their knowledge. All students had business ideas, and these ideas could be implemented in the college. As they accepted our ideas and encourages startup's. Maximum students went for internships to learn something about software or coding.
Hello aspirant,
Artificial Intelligence is the ability of machines to seemingly think for themselves. AI is demonstrated when a task, formerly performed by a human and thought of as requiring the ability to learn, reason and solve problems, can now be done by a machine. A prime example is an autonomous vehicle. The vehicle is able to perceive its surroundings and make decisions in order to safely reach its destination with no human intervention. Converging technologies along with Big Data and the Internet of Things (IoT) are driving the growth of AI. Machines communicate with one another and are now capable of advanced perception, capturing millions of data points in seconds, processing the information and making decisions, all in a matter of seconds. As AI evolves, machines will have more capability to physically act based on their intelligence, eventually leading to machines that can build better versions of themselves.
The field of Artificial Intelligence (ai systems) and machine learning algorithms encompasses computer science, natural language processing, python code, math, psychology, neuroscience, data science, machine learning and many other disciplines. An introductory course in AI is a good place to start as it will give you an overview of the components bring you up to speed on the AI research and developments to date. You can also get hands-on experience with the AI programming of intelligent agents such as search algorithms, games and logic problems. Learn about examples of AI in use today such as self-driving cars, facial recognition systems, military drones and natural language processors.
Go further with courses in Data Science, Robotics and Machine Intelligence. Learn the fundamentals of how robots operate, including how to represent 2D and 3D spatial relationships, how to manipulate robotic arms and plan end to end AI robot systems. In Machine learning, explore unsupervised learning techniques for data modeling and analysis including data clustering, computer vision, reinforcement learning, problem solving, machine learning algorithms, image recognition, data mining, speech recognition matrix factorization and sequential models for order-dependent data.
Start with Artificial Technology and get an overview of this exciting field. If you are unfamiliar with basic computer science and programming, it will be helpful to take and introductory class to learn Python, R or another programming language commonly used in data analysis.
I hope it helps.