Computer Science & Engineering(AI &ML)

Computer Science & Engineering (AI & ML)

Building Smarter Worlds: AI & ML in Computer Science & Engineering

Artificial Intelligence[AI] and Machine Learning[ML] are correlated each other. AI is a bigger concept to create intelligent machine that can simulate human thinking capability where as ML is a subset of AI that allow a machines to learn from Data. Artificial Intelligence (AI) and Machine Learning(ML) has become an integral part of technology in our daily lives, getting news updates ,driving to office, searching for a restaurant, getting medical alerts and recommendations on social media are all using AI and ML. With increase in usage, there is a significant requirement of researchers in the areas ofAi & ML.

This specialization is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualization technologies.

The main goal of artificial intelligence and machine learning is to program computers to use example data or experience to solve a given problem.

This program will provide students an opportunity to learn both foundational and experimental components of Artificial Intelligence and Machine Learning.

At the end of this program, a student should have :

Understanding of foundational topics in Computer Science, Artificial Intelligence, and Machine Learning.

Understanding of theoretical foundations and limits of Artificial Intelligence and Machine Learning.

Ability to design and implement algorithms and data structures for efficiently solving new problems.

Ability to model and analyze a variety of problems using appropriate mathematical/computational and AI concepts.

Ability of apply and develop AI algorithms to transform large amount of data into intelligent decisions and/or behavior.

An understanding of the impact of AI based solutions in an economic, societal, and environment context.

Career Opportunities:

Machine Learning Engineer Artificial Intelligence Interaction Designer Machine Learning Architect Applied Scientist Robotics Process Analyst & AI Developer

Course and Content Delivery

Courses and Content Delivery
Essential Courses	Programming for Problem Solving,
	Object Oriented Design and Programming,
	Data Structures,
	Discrete Mathematical Structures,
	Computer Organization,
	Theory of Computation,
	Operating System,
	Artificial Intelligence,
	Design and Analysis of Algorithms,
	Database Management Systems and Data Warehouse,
	Automata and Language Processor,
	Software Engineering,
	Computer Networks
	Web Technologies.
	Data Analytics and Mining,
Specific Courses	Reinforcement Learning,
	Natural Language Processing,
	Deep Learning, Robotics
Elective Courses	IOT,
	Design Thinking,
	Software Project Management,
	Ethical hacking ,
	Block chain,
	Digital Forensics,
	Image Processing,
	Virtual Reality,
	Robotics,
	Cloud Computing,
	Green Computing,
	Deep Learning

EMERGING AREAS OF COMPUTER SCIENCE AND ENGINEERING
1	COMPUTER SCIENCE AND ENGINEERING(ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING)
2	COMPUTER SCIENCE AND ENGINEERING(DATA SCIENCE)
3	COMPUTER SCIENCE AND ENGINEERING(CYBER SECURITY)