Vision

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Mission

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Program Educational Objectives

Program Learning Outcomes

Program outcomes are the statements that describe what students are expected to know and be able to do by the time of graduation. These relate to the knowledge, skills and attitude that the students acquire while progressing through the program. The program must demonstrate that the students have attained a certain set of knowledge, skills and behavioral traits, at least to some acceptable minimum level. Specifically, it is to be demonstrated that the students have acquired the following graduate attributes but not limited to:

• Engineering Technology Knowledge (SA1): An ability to apply knowledge of mathematics, natural science, Engineering Technology fundamentals and Engineering Technology specialization to defined and applied Engineering Technology procedures, processes, systems or methodologies.
• Problem Analysis (SA2): An ability to Identify, formulate, research literature and analyze broadly defined Engineering Technology problems reaching substantiated conclusions using analytical tools appropriate to the discipline or area of specialization.
• Design/Development of Solutions (SA3): An ability to design solutions for broadly- defined Engineering Technology problems and contribute to the design of systems, components or processes to meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
• Investigation (SA4): An ability to conduct investigations of broadly-defined problems; locate, search and select relevant data from codes, databases and literature, design and conduct experiments to provide valid conclusions.
• Modern Tool Usage (SA5): An ability to Select and apply appropriate techniques, resources, and modern technology and IT tools, including prediction and modelling, to broadly-defined Engineering Technology problems, with an understanding of the limitations.
• The Engineering Technologist and Society (SA6): An ability to demonstrate understanding of the societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to Engineering Technology practice and solutions to broadly defined Engineering Technology problems.
• Environment and Sustainability (SA7): An ability to understand and evaluate the sustainability and impact of Engineering Technology work in the solution of broadly defined Engineering Technology problems in societal and environmental contexts.
• Ethics (SA8): Understand and commit to professional ethics and responsibilities and norms of Engineering Technology practice.
• Individual and Team Work (SA9): An ability to Function effectively as an individual, and as a member or leader in diverse teams.
• Communication (SA10): An ability to communicate effectively on broadly defined Engineering Technology activities with the Engineering Technologist community and with society at large, by being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
• Project Management (SA11): An ability to demonstrate knowledge and understanding of Engineering Technology management principles and apply these to one’s own work, as a member or leader in a team and to manage projects in multidisciplinary environments.
• Lifelong Learning (SA12): An ability to recognize the need for, and have the ability to engage in independent and life-long learning in specialist Engineering Technologies.

Laboratories

The Department of Robotics & Artificial Intelligence provides comprehensive hands-on training through its specialized laboratory facilities. Students engage with practical applications that complement their theoretical studies, working directly with robotic systems, AI development platforms, and industrial automation equipment. The laboratory curriculum is carefully structured to reinforce classroom learning while developing technical competencies in key areas including robotic programming, machine learning implementation, embedded system design, and industrial control systems. Every circuit assembled, every algorithm debugged, and every robot calibrated reinforces our mission: to create not just graduates, but pioneers ready to redefine the future of automation and artificial intelligence. Through systematic laboratory exercises, students verify engineering principles while gaining proficiency with current industry technologies. The program emphasizes applied problem-solving, requiring students to design, test and optimize complete systems. This practical approach ensures graduates develop both the technical skills and analytical capabilities needed for professional work in automation, intelligent systems development, and related technical fields.

Artificial Intelligence & Machine Learning Lab

The Artificial Intelligence & Machine Learning Lab provides students with a dedicated environment for developing and testing intelligent systems through computational modeling and simulation. Equipped with high-performance computing resources and specialized software tools, the lab supports hands-on experimentation with machine learning algorithms, neural networks, and AI-driven simulations. Students work with real-world datasets to train and validate models, exploring applications in computer vision, natural language processing, predictive analytics, and autonomous systems. The lab’s simulation capabilities enable the study of complex scenarios, allowing learners to analyze system behavior, optimize parameters, and evaluate performance under controlled conditions.

Instrumentation and Control Lab

Instrumentation and Control Lab provides hands-on experience in designing control algorithms and devices that can drive a wide range of mechanisms. Students can utilize a broad collection of state-of-the-art software and hardware tools (from NI, Mathworks, TI and Xilinx) available to build highly effective machines, sophisticated control systems, versatile rovers and innovative biomedical devices. Moreover, it has a wealth of resources to teach the students the fundamentals of Newtonian Mechanics, Engineering Design, Feedback Control, Industrial Control & Robotics.

Robotics & Automation Lab

The Robotics & Automation Lab provides students with a practical platform to design, program, and test robotic systems and automated solutions. Equipped with robotic arms, mobile robots, humanoids and series of controllers, sensors and actuators , the lab enables hands-on experimentation with real-world automation challenges. Students gain experience in robot kinematics, sensor integration, motion planning, and industrial automation through structured exercises and projects. The lab's infrastructure supports the development of complete robotic systems, from mechanical assembly to intelligent control algorithms.

Electronics Devices & Circuits Lab

The Electronics Devices & Circuits Lab provides comprehensive training in electronic circuit design, analysis, and testing. Equipped with digital storage oscilloscopes, DC power supplies, digital multimeters, function generators, LCR meters, and a complete inventory of components—including diodes, transistors, ICs, resistors, and capacitors—the lab enables students to build, measure, and troubleshoot analog and digital circuits.