Resources to help SJSU Faculty and Teaching Assistants learn how to address ChatGPT in their classrooms and assignments.
Created by SJSU's Writing Center The AI Writer Toolbox, is a balanced and thoughtful Google Site designed to help students and writers determine if, when, and how to integrate AI tools into their writing process.
SJSU's Center for Faculty Excellence and Teaching Innovation (CFETI) has resources on ethical AI usage for faculty and students. Find guidance on when, how, why, and whether to use—or not use—AI tools for courses.
Dr. Cynthia Teniente-Matson, President
SJSU's academic programs create new pathways to careers in AI, while our faculty lead the way to understanding the social and ethical implications of new technologies.
SJSU has more than 65 courses that directly address AI and machine learning, with more added every year. And it's not only engineering and computer science students who are learning about AI — there are relevant courses in more than 15 programs including Biology, Business, and Psychology.
Digital design and implementation of high-performance Machine Learning systems. Deep neural network design examples of machine learning include applications to object recognition for autonomous vehicles and speech recognition.
Advanced Bioinformatics algorithms, tools, databases. Biological background; protein structure/function; sequencing technology; sequence identification; transcriptomics; metagenomics; CRISPR. Applying advanced approaches to real-world problems.
Introduction to important concepts and techniques from the fields of artificial intelligence, evolution of AI systems, intelligent agents, problem solving by searching, machine learning, neural networks, reinforcement learning, and knowledge representation.
Leverages multidisciplinary knowledge - design thinking, cutting-edge information technologies, social innovation - to address important social problems. Use of design thinking, including identifying problems through user interviews, creating prototypes using emerging technologies, and validating the solutions through user research. Hands-on experience with emerging technologies, such as AI and IoT.
Deep neural networks and their applications to various problems, e.g., speech recognition, image segmentation, and natural language processing.
Explores the far-reaching implications of Artificial Intelligence (AI)/Cognitive Computing (CC) on non-fiction and fiction storytelling and how numerous applications, tools and techniques are used to affect various aspects of digital storytelling.
Data ethics implications of decisions made while conducting and implementing data analysis, ML and AI. Students will learn to identify bias and fairness in a dataset and techniques for reducing the harm.
Introduction to important concepts and techniques from the fields of artificial intelligence, evolution of AI systems, intelligent agents, problem solving by searching, machine learning, neural networks, reinforcement learning, and knowledge representation.
Computer Engineering
Charles W. Davidson College of Engineering
Undergraduate and Graduate Programs
College of Professional and Global Engagement
Engineering Extended Studies
Charles W. Davidson College of Engineering
SJSU faculty and students produce AI research that pushes their fields forward, and King Library's SJSU ScholarWorks helps make sure that research is shared with readers around globe. SJSU's Office of Research has identified emerging technology, including artificial intelligence and machine learning, as an area of research strength at SJSU.
