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Only an institution which offers to students a conducive atmosphere for learning, a good infrastructure and excellent facilities, can boast for a good Placement record. Our students can nurture their skills and develop creativity with the help of the facilities we provide.
The IA Department also conducts Quizzes, Seminars and Workshops from time to time, to enable students to acquire knowledge ‘beyond the textbook’ and get opportunities to learn from experienced Engineers. Eminent personalities from both Academia as well as Industry are invited to address the students on various topics related to technological advances in the AI field. This ensures that our students get the extra edge.
The course is designed to develop skills to design and analyse simple linear and nonlinear data structures. It strengthens the ability of students to identify and apply a suitable data structure for the given real-world problem. It enables them to gain knowledge in the practical applications of data structures.
Python is a programming language, basically a very high-level and general-purpose language. The design is such that it emphasises code readability with the use of significant indentation. The language used in Python helps construct an object-oriented approach with the aim of helping programmers write clear and logical code for small and large-scale Products.
The data communication network (DCN) lab supports teaching and research work in the field of data communications. In this lab, students learn about RS-232 and its usage. Data transmission protocols such as ALOHA, CSMA, token ring, token BUS, CSMA/CA, and CSMA/CD are implemented for packet communication between nodes connected to a common BUS. Students also implement the token passing access method for BUS and RING LAN. Ethernet controlling and switching technology are also studied.
In this lab, students implement the transmission protocols on the LAN trainer system. Computers are available and configured as hosts and nodes to implement and study various LAN topologies like BUS, DUAL BUS, RING, and STAR topologies. This lab is also equipped with serial and parallel communication systems. Stop and wait, Go and Back, and selective/repeat protocols are also implemented for LAN.
Network simulator (NS2) software is installed on computers to simulate and analyse various network entities. Researchers may use these tools for planning and testing the behaviour of physical communication networks.
The main objective is that students develop skills in the design and analysis of algorithms to solve real-world problems effectively and efficiently according to the requirements established by a potential client.
Therefore, it is expected that at the end of the course, the students will know:
The objective of the Machine Learning Lab is to provide students with hands-on experience and practical exposure to various machine learning concepts, algorithms, and techniques. The Machine Learning Lab aims to empower students with the necessary skills, expertise, and mindset to become proficient practitioners and innovators in the field of machine learning. The Lab facilitates database designing and management through dedicated tools such as Oracle and MySQL and related computing paradigms and frameworks.
Machine learning, reinforcement learning, deep learning. Technology with great potential has many areas. We have experience with the many sub-branches of artificial intelligence and using AI with the latest camera and robot technology, regardless of whether the robot has arms, legs, wheels, or wings. We do this because artificial intelligence is an important technological catalyst for the robots of the future.
Where we have previously seen robots that “simply” move around among people, in the future, we will increasingly experience robots in direct interaction with people and their environment. This interaction requires a link between the robot’s ability to handle objects and its ability to understand and navigate the physical (and changing) environment. Artificial intelligence thus paves the way for chatbots, which become better and better at understanding, analysing, and making independent, secure decisions, used for machine translations
If you step into the factory, artificial intelligence still has infinite potential as a tool to improve products and processes in the manufacturing industry, whether it is about catching irregularities, digitising quality control, or adjusting production parameters without interrupting production.
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MVJ College of Engineering, Near ITPB, Whitefield, Bangalore-560 067