B.Tech – Artificial Intelligence and Data Science AI & DS

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B.Tech – Artificial Intelligence and Data Science AI & DS

The Department of Artificial Intelligence and Data Science (AI & DS) at Shanmuganathan Engineering College was established with the aim of nurturing future-ready professionals equipped with cutting-edge knowledge in AI technologies, machine learning, and data-driven decision-making. With a focus on interdisciplinary learning, the department fosters innovation, ethical values, and societal responsibility in solving real-world challenges using AI.

Mission

  • To provide quality technical education in the field of Artificial Intelligence and Data Science through innovative teaching and practical learning.

  • To cultivate analytical thinking, research aptitude, and ethical values in students.

  • To enable students to solve complex problems using AI-driven approaches for the benefit of society and industry.

Vision

  • To be a centre of excellence in Artificial Intelligence and Data Science education, research, and innovation, producing competent professionals and future leaders in the field.

About the Curriculum

The AI & DS curriculum is designed in alignment with AICTE guidelines and industry needs. It blends core computer science subjects with specialized AI disciplines including:

  • Machine Learning & Deep Learning

  • Natural Language Processing

  • Computer Vision

  • Data Mining & Big Data Analytics

  • Cloud Computing

  • Internet of Things (IoT)

  • Programming with Python, R, and MATLAB

  • Data Structures, Algorithms, and Databases

  • Ethical AI & Responsible Innovation

    • The curriculum is structured to include hands-on training, industry-led electives, internships, and capstone projects to ensure students gain both academic and practical skills.

Programme Educational Objectives (PEOs)

  • PEO1: Graduates will demonstrate technical proficiency in AI, machine learning, data science, and allied fields to excel in their careers and higher education.

  • PEO2:Graduates will contribute to solving real-world problems with innovative and ethical AI-based solutions.

  • PEO3:Graduates will engage in continuous learning and professional development through certifications, research, and entrepreneurship.

  • PEO4: Graduates will exhibit leadership, teamwork, communication, and project management skills in multidisciplinary environments.

Programme Outcomes POs

  • Engineering Knowledge: Apply the knowledge of mathematics, science, and engineering to solve complex engineering problems in AI & DS.

  • Problem Analysis: Identify and analyze real-world problems to derive data-driven solutions.

  • Design/Development of Solutions:Design AI models and software systems to meet societal and industrial needs

  • Conduct Investigations of Complex Problems: Use research-based knowledge and methods to analyze and interpret data.

  • Modern Tool Usage: Utilize modern AI tools, techniques, and computing platforms effectively.

  • The Engineer and Society:Apply contextual knowledge to assess societal, health, safety, and legal issues related to AI applications.

  • *Environment and Sustainability Understand the impact of AI solutions in environmental and societal contexts.

  • Ethics Commit to professional ethics and responsibilities in the AI domain.

  • Individual and Team Work: Function effectively in individual and team settings, including multidisciplinary team

  • Communication:Communicate effectively in technical and non-technical contexts.

  • Project Management and Finance: Demonstrate knowledge of management principles and apply them in AI project development.

  • Lifelong Learning:Recognize the need for and engage in lifelong learning in the rapidly evolving field of AI.

Facilities

  • Smart Classrooms with AI-powered Learning Tools

  • High-Performance Computing Labs

  • AI & Data Science Innovation Centre

  • Center for Machine Learning & Deep Learning

  • Industry-Sponsored Research Labs (Collaboration with companies like IBM, Google AI, AWS)

  • e-Library with access to AI journals, IEEE papers, and open-source datasets

  • Seminar Halls for Expert Lectures, Hackathons, and Symposiums

  • MOUs with industries and academic institutions for internships and student exchange programs

About the Lab

The AI & DS Lab is a hub for hands-on experimentation, coding, and innovation. It is equipped with

  • GPU-enabled Workstations* for high-speed model training

  • AI Development Tools* such as TensorFlow, Keras, Scikit-learn, PyTorch

  • Big Data Platforms* including Hadoop and Spark

  • IoT and Robotics Kits* for real-time AI applications

  • Data Visualization Tools*: Tableau, Power BI, Matplotlib

  • Cloud Access AWS, Azure AI, Google Colab

  • Virtual Reality (VR)/Augmented Reality (AR)* kits for immersive learning

  • Automated Attendance, Face Recognition, Chatbot Projects* developed in-house

Courses Offered

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Syllabus Notes
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