Artificial Intelligence Lab
Immerse yourself in the latest AI technology and the chance to collaborate on useful, new applications in our state-of-the-art facility.
SHU’s AI Lab offers the cutting-edge tools needed to tackle new and arising challenges in our modern world. Using data analytics, machine learning, computational intelligence, financial technology and many other solutions, students and faculty from finance, nursing, business, physical training, philosophy and more converge here to collaborate, learn and discover.
SHU’s AI Lab features 40 computers with advanced processing capabilities, including object recognition, and dedicated servers for students and faculty research. Our facility provides on-premise resources that ensure safe generation and secured storage of datasets with the capability to expand into larger-scale, cloud-based AI infrastructures when needed.
The AI lab is located at West Campus East Building WCE*E-1129.
Who uses the AI Lab?
Several courses are taught in the AI Lab, including:
Applied fundamentals of artificial intelligence, with a particular focus on data analytics, and cloud computing basics. Making virtual artifacts for systems to learn, plan and solve problems to complete the data-information-knowledge-wisdom pyramid. This course has a hands-on component focused on driving modern intelligent agents on real-world applications for contemporary problems, such as deep learning, data flows, and autonomous driving.
Prerequisite: Take CS-112, MA-331 or MA-332 or CSE-300
This course provides a theoretical and a practical understanding of machine learning techniques. It offers the concepts, the intuitions, and the tools the students need to actually implement programs capable of learning from data. A large number of techniques is covered, from the simplest and most commonly used such as linear regression to some of the Deep Learning techniques. The course materials are supported with hands-on sessions using contemporary machine learning tools.
Prerequisite: Take CS-112, MA-331 or MA-332 or CSE-300
This course provides an understanding of machine learning techniques. It offers the concepts and the tools the students need to implement programs capable of learning from data.
Addresses foundational principles making computers learn, plan, and solve problems autonomously; and driving modern intelligent agents on real-world applications for contemporary problems, such as deep learning, and data flows.
This course provides a theoretical and a practical understanding of machine learning focused exclusively on deep learning. The course will cover how deep learning can be used for unsupervised, classification, regression, and reinforcement learning across real world use cases, such as fraud detection, text classification, image processing, healthcare, and gaming. This course will use hands-on materials to supplement theoretical knowledge.
This course will provide advanced concepts of Python script programming. Topics covered include Functions, Design with classes, Multithreading, Networks, Client/server programming, Searching, Sorting and Complexity analysis.
Prerequisite: Take CS-504
Big Data Analytics is about harnessing the power of data for new insights. The course covers the breadth of activities, methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry.
The lab is also home to the esports club team and powered the SHU team during the Connecticut esports showcase in 2021 and 2022.
Our Team
Robert McCloud, Ed.D.
Samah Senbel, Ph.D.
Paul Sideleau
Reza Sadeghi
Akhila Gogireddy
AI Lab
The esports team competes in the CT showcase in the AI lab.
SHU hosts the CT esports Showcase
A cybersecurity class is taught in the AI lab.
Students utilize the lab’s computers with advanced processing capabilities.
Students and faculty collaborate on projects in the AI lab.
Engineering student works in the AI lab.