B. Tech in Computer Science (Artificial Learning and Machine Learning) is an undergraduate programme with advanced learning solutions imparting knowledge of advanced innovations like machine learning, often called deep learning and artificial intelligence.
This specialisation is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualisation technologies. The main goal of artificial intelligence (AI) and machine learning is to program computers to use example data or experience to solve a given problem. Many successful applications based on machine learning exist already, including systems that analyze past sales data to predict customer behaviour (financial management), recognize faces or spoken speech, optimize robot behaviour so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data.
This programme discusses AI methods based in different fields, including neural networks, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions.
Programme Educational Objectives (PEO)
Program Outcomes (PO’s)
People think that computer science is the art of geniuses but the actual reality is the opposite, just many people doing things that build on each other, like a wall of mini stones. Donald Knuth
Program Structure :Artificial Intelligence and Machine Learning Engineering is a 4 year program and the curriculum is spread over 8 semesters. The fundamental objective of the program is to provide the opportunity for the students to develop a firm foundation in Science, Mathematics and Design Methodology of the computer systems. The course covers all the fundamentals and offers a holistic learning environment where students understand, learn and apply the most contemporary and essential tools and technologies required.
In the first year, basic engineering subjects like Physics, Chemistry, Mathematics and Engineering Drawing are covered. From second year, students will focus on core subjects including data structure, programming, operating system, computer networks, web technologies, complier design, software engineering, databases and computer architecture and theoretical computer science.
We at Sharda Group have well equipped laboratories associated with the technical divisions. All labs are equipped with latest software and hardware to provide better research and learning facilities to students to meet the challenges of IT sector.
Duration: 4 Years
Qualification: 10+2 pass from a recognized board or university with Physics, Chemistry, English and Mathematics as compulsory subjects and a minimum of 50% marks.
Scope / Career Prospects: Artificial Intelligence and Machine Learning Engineering is in huge demand these days in almost all the sectors. B.Tech Computer Science and Engineering at Sharda Group offers challenging career opportunities to the students and they have multidisciplinary roles to play.
Artificial Intelligence and Machine Learning have created an awesome impact in our daily lives and have become a part of our daily lives. Artificial Intelligence and Machine Learning both have been used in different Industries, fields of science, the military sector, the educational system and now in the field of Human Services.
If you think Artificial Intelligence is all about smart machines and their intelligence, you are wrong. AI also includes human intelligence or the human brain. That’s why you will find several people to be a part of AI in the next few years. Whereas, Machine Learning is the process of data analytics that a machine uses to gain the ability of a human brain. Machine Learning helps machines to understand the patterns in the data and use them in different ways to help in taking some intelligent decisions. Machine learning has helped a lot in the field of Data Science and has taken the world of automation to another level.