Welcome to PPG Institute of Technology
0%
Welcome to PPG Institute of Technology
0%
0%
0%
0%
B.E CSE (AI&ML) programme has been started in PPG in 2023-24 with a vision to innovative academic unit dedicated to exploring and advancing the frontiers of artificial intelligence and data science. Committed to excellence in research, education, and practical applications, the department fosters a collaborative and interdisciplinary environment. Faculty members engage in cutting-edge research spanning machine learning, natural language processing, computer vision, and data analytics.
Department: B.E. Computer Science and Engineering (AI&ML)
Code: AIML
Program: B.E.
Focus Area: deep learning, intelligent automation, and production AI
Our commitment to excellence and student success
Vision: To develop professionals who are skilled in the area of Artificial Intelligence and Machine Learning.
Mission: MD1: To empower knowledge and skills of learners through real time project and problem-based activities in all parts of learning through innovative pedagogical practices. MD2: To remain focused in our core and hold ourselves accountable to our stakeholders, through embedded processes of self-evaluation and continuous improvement. MD3: To develop technical expertise through latest technologies through state-of-the-art facilities. MD4: To achieve quality education by nurturing collaborative culture in the area of academia and industry towards serving the greater cause of society.
The Program Educational Objectives of B.E. Computer Science and Engineering (AI&ML) define the broad career and professional accomplishments that our graduates are expected to achieve.
PEO1: Apply their technical competence in computer science to solve real world problems, with technical and people leadership.
PEO2: Conduct cutting edge research and develop solutions on problems of social relevance.
PEO3: Work in a business environment, exhibiting team skills, work ethics, adaptability and lifelong learning.
Program Outcomes for B.E. Computer Science and Engineering (AI&ML) define what students will be able to do by the time of graduation in terms of knowledge, skills, and competencies.
PO1 Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2 Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions.
PO3 Design / Development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs.
PO4 Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data.
PO5 Modern tool usage: Create, select and apply appropriate techniques, resources, and modern engineering and IT tools.
PO6 The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, legal and cultural issues.
PO7 Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts.
PO8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9 Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams.
PO10 Communication: Communicate effectively in complex engineering activities with the engineering community and with society at large.
PO11 Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles.
PO12 Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning.
The Program Specific Outcomes for B.E. Computer Science and Engineering (AI&ML) are specialized learning outcomes unique to this discipline that complement the broader POs.
PSO1: Exhibit design and programming skills to build and automate business solutions using cutting edge technologies.
PSO2: Strong theoretical foundation leading to excellence and excitement towards research, to provide elegant solutions to complex problems.
Loading department documents...
B.E. Computer Science and Engineering (AI&ML) currently offers B.E. with elective pathways and practical learning modules aligned to industry needs.
B.E. structure with semester-wise progression
Core + elective model for specialization flexibility
Laboratory-integrated teaching methodology
Capstone projects and internship-driven credits
B.E. Computer Science and Engineering (AI&ML) builds technical excellence through mentor-guided learning, innovation activities, and a strong professional development ecosystem.
Advanced AI specialization and experimentation culture
Production-focused model deployment training
Innovation projects in intelligent systems
Strong talent pipeline for emerging AI roles
The curriculum in B.E. Computer Science and Engineering (AI&ML) is updated with contemporary topics and practical modules to ensure relevance and employability.
Outcome-based curriculum with competency mapping
Elective tracks in advanced domain areas
Continuous internal assessments and practical reviews
Periodic syllabus revision with expert input
B.E. Computer Science and Engineering (AI&ML) supports practical and research learning through dedicated labs, software infrastructure, and project spaces.
Deep learning and neural network lab
AI systems and autonomous computing lab
MLOps and deployment engineering lab
Advanced computing and simulation lab
Discover our world-class faculty driving innovation, research, and excellence in AIML.