Computer Science and Engineering (AI & ML) - St Aloysius (Deemed To Be University)

Overview

About the Programme

The Department of Artificial Intelligence & Machine Learning focuses on building future-ready professionals skilled in intelligent systems, data-driven decision-making, and innovation. The department integrates strong mathematical foundations with hands-on learning in AI, ML, and deep learning to address real-world challenges responsibly.

Vision

To be a leading centre for education and research in Artificial Intelligence and Machine Learning with a focus on ethical and responsible innovation.

Mission

  • To impart strong foundations in AI, ML, and data science principles.
  • To enable the development of intelligent and data-driven solutions for complex problems.
  • To promote ethical, responsible, and socially relevant AI practices.

Programme Core Courses

  • Data Structures and Algorithms (Theory)
  • Data Structures and Algorithms Lab
  • Web Programming (Theory and Lab)
  • Design and Analysis of Algorithms (Theory)
  • Design and Analysis of Algorithms Lab
  • Computer Architecture and Organization (Theory)
  • Software Engineering (Theory)
  • Software Engineering Lab
  • Database Systems (Theory)
  • Database Systems Lab
  • Operating Systems (Theory)
  • Operating Systems Lab
  • Theory of Computation (Theory)
  • Embedded Systems (Theory)
  • Artificial Intelligence (Theory)
  • Compiler Design (Theory)
  • Compiler Design Lab
  • Computer Networks (Theory)
  • Computer Networks Lab
  • Cryptography and Network Security (Theory)
  • Cryptography and Network Security Lab

Programme Elective Courses

  • Machine Learning (Theory)
  • Machine Learning Lab
  • Deep Learning (Theory)
  • Deep Learning Lab
  • Game Programming (Theory)
  • Game Programming Lab
  • Machine Vision (Theory)
  • Machine Vision Lab
  • Explainable Artificial Intelligence (Theory)
  • Speech and Language Processing (Theory)
  • Speech and Language Processing Lab
  • Cognitive Robotics (Theory)
  • Cognitive Robotics Lab
  • Autonomous Drones (Theory)
  • Autonomous Drones Lab

Infrastructure

Lab Hardware Details Software / Tools
Computer Programming Lab Dell OptiPlex 3020, Intel i5, 3.20 GHz, 500 GB HDD, 8 GB RAM Keil, Altera Quartus II, Visual Studio .NET, MATLAB 2015a
Software Systems Lab Intel i5, 3.20 GHz, 500 GB HDD, 8 GB RAM C, C++, Java, Oracle 11g, MySQL, Rational Rose, Cisco Packet Tracer
Intel Multicore Lab Intel Core 2 Quad / i5-7500, 4–8 GB RAM Visual Studio .NET
Artificial Intelligence Lab Intel i9-9900K, NVIDIA Quadro RTX 5000, 32 GB RAM OpenCV, Python, MongoDB, Cassandra, Neo4j
Cloud Computing Lab Dell 3020, Intel i5, 8 GB RAM Eclipse, NetBeans, Anaconda, MySQL, MATLAB
Database Systems Lab Intel i5, 8 GB RAM Python, R, MATLAB, Oracle, MySQL, Wireshark, NS3

Scope of Employment

The B.Tech. programme in Artificial Intelligence and Machine Learning is aligned with the rapidly growing demand for skilled professionals in intelligent systems and data-driven technologies. Graduates find opportunities across industries such as healthcare, finance, fintech, manufacturing, automation, and emerging AI-driven domains.

Faculty

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Dr Ruban S

Associate Professor - Stage I & Dean

[email protected]
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Dr Geetha M Pinto

Associate Professor - Stage I & Asso. Dean

[email protected]
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Dr Glenson Toney

Assistant Professor - Stage I & Asst Dean

[email protected]
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Tenson Jose

Assistant Professor - Stage I

[email protected]
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Mohammad Siraj B

Asst Professor

[email protected]
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Ms Priya George A

Assistant Professor - Stage I

[email protected]
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Ashwija

Asst Professor

[email protected]
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Dr Praveen Prakash Dsouza P

Assistant Professor - Stage II

[email protected]
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Aarathi T

Asst Professor

[email protected]
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Devichandrika

Asst Professor

[email protected]
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Dr Aldrin C Vaz

Assistant Prof. Stage - II

[email protected]
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Mr Gaurav Prasad

Assistant Prof. Stage - I

[email protected]
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Mr P C Vijay Ganesh

Assistant Prof. Stage - II

[email protected]
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Mr Abdul Majeed

Assistant Professor Stage - III

[email protected]
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Ms Nishmitha

Assistant Professor Stage - I

[email protected]
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