Artificial Intelligence

Yes, Poornima University offers a B.Tech. in Computer Engineering with a specialisation in Artificial Intelligence and Data Science. This programme focuses on providing students with knowledge and skills related to AI, machine learning, programming, and data science.

The collaboration with SAS, a well-known analytics software provider, indicates that the programme may incorporate SAS tools and techniques for data analysis and visualization. This collaboration can provide students with practical exposure to industry-standard tools and enhance their understanding of AI and data Science concepts.

The specialisation in Artificial Intelligence and Data Science prepares students to work with advanced technologies and develop solutions using AI and machine learning algorithms. It covers topics such as data mining, predictive analytics, natural language processing, deep learning, and big data analytics.

By offering this specialization, Poornima University aims to equip students with the necessary knowledge and skills to excel in the field of AI and data science. The programme may also provide opportunities for internships, industry projects, and collaborations with companies to gain practical experience in the field.

It is recommended to visit the official website of Poornima University or contact the university directly for more detailed information about the B.Tech. in Computer Engineering (Artificial Intelligence and Data Science) program, including the specific curriculum, admission requirements, and any additional collaborations or initiatives related to AI and data science.

AIML (Artificial Intelligence and Machine Learning) and CSE (Computer Science and Engineering) are related fields, but they have distinct focus areas and syllabuses. Here's a general overview of the differences:

1. Artificial Intelligence and Machine Learning (AIML):

   • AIML focuses on the study of algorithms, statistical models, and computational techniques that enable machines to exhibit intelligent behavior and learn from data.
   • The syllabus typically includes subjects such as machine learning, deep learning, natural language processing, computer vision, robotics, data mining, and pattern recognition.
   • AIML emphasizes the development of intelligent systems, algorithms, and models that can process and analyze complex data, make predictions, and automate tasks.

2. Computer Science and Engineering (CSE):

   • CSE covers a broad range of topics related to computer systems, software development, and computational theory.
   • The syllabus typically includes subjects such as programming languages, data structures, algorithms, computer networks, operating systems, database systems, software engineering, and computer architecture.
   • CSE encompasses various aspects of computer science, including software development, system design, network management, database management, and theoretical concepts.

While there is some overlap between AIML and CSE, AIML has a more specific focus on the development and application of intelligent systems using machine learning and AI techniques. CSE, on the other hand, provides a broader foundation in computer Science principles and technologies.