CSE (AI & Machine Learning) Department

Department Identity

Known for

An experimentation-first learning culture covering ML pipelines, deep learning, and practical model deployment.

Students here become

AI engineers who can frame problems, train models, evaluate outcomes, and integrate solutions into products.

Outcome
Evaluation is metric-driven, not presentation-driven
Outcome
Students practice model lifecycle: data prep, training, validation, deployment
Outcome
Ethics and reliability are included in project reviews

Vision & Mission

Vision

To produce competent professionals in the field of AI&ML by imparting state-of-art technologies and inculcating strong ethical values.

Mission

To impart technical education competency with high-quality educational practices through qualified human resources and good infrastructure.
Accomplish the process to enhance academic knowledge and foster a research-oriented environment.
To encourage quality learning and social responsibility with professional ethics.

POs, PEOs, PSOs

PEOs set the graduate vision, POs define the standard, and PSOs show the department specific skills.

PEO

PSO

PEO

Program Educational Objectives

PEO 1

To apply AI and ML concepts to solve problems in their professional field.

PEO 2

To pursue higher education and engage in continuous professional development while upholding ethical values.

PEO 3

To adapt emerging technologies and explore opportunities in research or entrepreneurial activities.

PO

Program Outcomes

Engineering Knowledge

Apply mathematics, science, engineering fundamentals, and specialization knowledge to solve complex problems.

Problem analysis

Identify, formulate, review research literature, and analyze complex engineering problems using first principles.

Design/development of solutions

Design solutions with consideration for public health, safety, culture, society, and environment.

Conduct investigations of complex problems

Use research-based knowledge and methods to synthesize valid conclusions.

Modern tool usage

Apply modern tools for prediction, modeling, and analysis with awareness of limitations.

The engineer and society

Assess societal, health, safety, legal, and cultural responsibilities relevant to practice.

Environment and sustainability

Understand the impact of engineering solutions in societal and environmental contexts.

Ethics

Apply ethical principles and professional responsibilities.

Individual and team work

Function effectively in diverse teams and multidisciplinary settings.

Communication

Communicate effectively through reports, presentations, and instructions.

Project management and finance

Demonstrate knowledge of engineering and management principles in project environments.

Life-long learning

Engage in independent and life-long learning in the context of technological change.

PSO

Program Specific Outcomes

PSO 1

Apply programming skills and mathematical concepts to design, develop, and optimize AI and machine learning solutions for real-world problems.

PSO 2

Demonstrate competency in Deep Learning and Data Analytics tools and technologies to build intelligent systems and pursue careers in industry, research, or higher education.