About CSE (AI & ML)

▶B.TECH VII SEM(R20),IV-I(R18,R15)SUPPLEMENTARY EXAMINATIONS NOV-2024 ▶M.TECH I SEM I-MID EXAMINATIONS DEC-24 ▶M.TECH II : II (R20 and R22) Results are Declared ▶MINOR COURSE EXAM POSTPONE AND RESCHEDULE DATE ▶Timetables for B.Tech 2nd Year & 3rd Year Regular and Supplementary Exams Dec-2024 ▶RE-VALUATION NOTIFICATION

About CSE(AI &ML)

B.Tech CSE (AI & ML) / CSM with intake of 180 started in 2020, offered by the Computer Science and Engineering Department provides the budding engineers with a spectacular array of courses dedicated to frontiers in the field of Artificial Intelligence and Machine Learning (AI&ML) with a foundation of Computer Science and Engineering. The 4-year full-time program includes exposure to hands-on technologies to create applications and solutions for the real-world business and societal problems.

With a huge explosion in data and its applications, a career in the field of AI&ML can be very promising as Machine Learning Expert, Data Engineer, Business Intelligence Developer, Data Scientist, Research Scientist, AI Data Analyst, AI Engineer, Robotics Scientist, etc. These graduates have good opportunities in research and reputed industries like Facebook, Microsoft, Amazon, Flipkart, Goldman Sachs, etc. that relies on business that is adaptive to human needs and resource availability.

MISSION

M1: To lay solid foundation to acquire skills in developing software by research and innovation.
M2: To impart leadership qualities in the fields of their choicest interest.
M3: To produce socially responsible engineers in this digitalized Society.

VISION

Producing professionals and entrepreneurs with strong morals and ethics by strengthening students with content and skills of emerging technologies in Computer Science and Engineering for our nation building.

B.TECH COMPUTER SCIENCE AND ENGINEERING (AI & ML)

PROGRAM EDUCATIONAL OBJECTIVES (PEO's)
PROGRAM OUTCOMES (PO's)
PROGRAM SPECIFIC OUTCOMES (PSO's)
COURSE OUTCOMES (CO's)

To prepare the students to identify, formulate and solve critical Computer Science Engineering problems.
To impart professional skills and train the students for immediate employment and enlighten them about higher studies in Computer Science and Engineering as well as related disciplines.
To strengthen the students with leadership qualities along diverse career paths.
To develop interest for inter disciplinary studies and prepare them to apply the skills to solve the social and human problems.

Engineering Knowledge: An ability to apply knowledge of mathematics, computing, science, electrical and electronics engineering.
Problem Analysis: Identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences
Design / Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety, and cultural, societal, and environmental considerations.
Conduct Investigations of Complex Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations./li>
The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice./li>
Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with the society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-Long Learning: Recognise the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Students will be able to understand the design and development of real-time software solutions using various concepts of basic science and other related disciplines of engineering.
Students will be able to apply a broad array of programming concepts and algorithms, and critically analyze problems to develop computational systems for engineering and scientific applications.
Students will be able to apply their computational knowledge to develop software projects in various thrust areas honing the skills necessary to transform innovative ideas into reality, further enhance their capabilities for better employment/research/ entrepreneurship/ higher education.

R22 B.Tech CSE CO’S Click Here
R20 B.Tech CSE CO’S Click Here

COURSES OFFERED

S. No.	Course	Specialization	Intake	Syllabus
1	B. Tech	CSE(AI&ML)	180	Syllabus