Our Vision
To be a globally recognized center for imparting quality technical education through innovative research and incubation with moral values in the field of computer science and engineering
Our Vision
To be a globally recognized center for imparting quality technical education through innovative research and incubation with moral values in the field of computer science and engineering
Department Overview
The field of Computer Science and Engineering, specifically in the areas of Artificial Intelligence/Data Science, is experiencing exponential growth and focuses on utilizing various tools and techniques to extract valuable insights from data. The program is designed as an interdisciplinary, problem-solving-oriented subject that leverages scientific methods to address practical challenges, and covers topics such as artificial intelligence and machine learning. The course curriculum incorporates a combination of data inference, algorithm development, and cutting-edge technology to effectively analyze and solve complex problems.
View MoreOur Mission
Inculcating quality teaching learning process by creating in-house industry-institute interactions to meet the societal needs.
Developing research and entrepreneurship culture in students and faculty to cultivate lifelong learning.
Empowering professionals with strong ethical values and leadership abilities.
Courses Offered
Explore our Courses
The Computer Science & Engineering Department ( AIML ) offers cutting-edge education, fostering innovation and preparing students for successful careers in technology
Bachelor of Engineering in
Computer Science and Engineering (Artificial Intelligence & Machine Learning)
Course Intake: 180 Students
HOD’S Message
Message from the Department’s Head
Artificial intelligence, machine learning, and data science are fields that are currently experiencing rapid growth, with the potential to shape the future of various industries
The department strives to achieve the following objectives :
These fields involve the development and application of advanced algorithms and computational models to analyze and extract insights from large datasets
Artificial intelligence, in particular, involves the creation of intelligent machines that can perform tasks typically requiring human intelligence, such as recognizing speech, making decisions, and understanding natural language
Machine learning, on the other hand, is a subset of artificial intelligence that focuses on the development of algorithms that enable machines to learn from data and improve their performance over time
Data science is an interdisciplinary field that combines statistics, computer science, and domain-specific knowledge to extract insights and knowledge from data
Data scientists use various techniques such as data mining, machine learning, and statistical analysis to identify patterns and make predictions
These fields are increasingly being applied in diverse industries, including healthcare, finance, manufacturing, and technology
For instance, in healthcare, artificial intelligence and machine learning are being used to improve disease diagnosis and develop personalized treatments
In finance, these fields are used to analyze financial data and detect fraud
In manufacturing, they are used to optimize supply chain management and improve product quality
Dr. Pushpalatha K
[email protected]