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2026 Spring: January 7 - May 5

Course Class No. Section Start & End Date Day Time Status Location
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
Start date has passed. Please register for the next start date.
3758 6380 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Pang, Leslie Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
Start date has passed. Please register for the next start date.
3782 6381 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Clinger, Thomas Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
Start date has passed. Please register for the next start date.
3837 6382 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Leon Rodriguez, Javier Eduardo Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
Start date has passed. Please register for the next start date.
3894 6383 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Alkaabi, Mahfood H Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
Start date has passed. Please register for the next start date.
4021 6384 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Ezzati, Parinaz Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
6815 7380 11 Mar 2026-05 May 2026 Closed Online
Faculty: Leon Rodriguez, Javier Eduardo Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
6868 7381 11 Mar 2026-05 May 2026 Closed Online
Faculty: Alkaabi, Mahfood H Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
6900 7382 11 Mar 2026-05 May 2026 Closed Online
Faculty: Clinger, Thomas Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
6933 7383 11 Mar 2026-05 May 2026 Closed Online
Faculty: Hershberger, Scott Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
6997 7384 11 Mar 2026-05 May 2026 Closed Online
Faculty: Agarwal, Animesh Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
Start date has passed. Please register for the next start date.
9339 6385 07 Jan 2026-03 Mar 2026 Closed Online
Faculty: Aftab, Mohammed Manauwar Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
Start date has passed. Please register for the next start date.
9449 6386 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Agarwal, Animesh Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
Start date has passed. Please register for the next start date.
9531 6387 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Cooper, Gina Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
Start date has passed. Please register for the next start date.
9594 6388 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Humphrey, Barry Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
Start date has passed. Please register for the next start date.
9673 6389 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Hoag, John Chester Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
9764 7385 11 Mar 2026-05 May 2026 Closed Online
Faculty: Chmiel, Alan Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
9816 7386 11 Mar 2026-05 May 2026 Closed Online
Faculty: Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
9853 7387 11 Mar 2026-05 May 2026 Closed Online
Faculty: Palmer, Imani Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
9937 7388 11 Mar 2026-05 May 2026 Closed Online
Faculty: Syllabus Course Materials
ARIN 310 Introduction to Artificial Intelligence (3)
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams. Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
9993 7389 11 Mar 2026-05 May 2026 Open Online
Faculty: Syllabus Course Materials
ARIN 320 Artificial Intelligence Applications (3)
(No programming or math background required.) An interactive, hands-on study of current artificial intelligence (AI) applications spanning multiple disciplines and domains, including business, science, communications, and computing. The goal is to use datasets with AI and machine learning applications from leading cloud vendors, including Amazon and Microsoft. Projects and laboratory exercises demonstrate how AI can be used to solve problems across a wide variety of disciplines. Students may receive credit for only one of the following courses: ARIN 320 or CMSC 307.
Start date has passed. Please register for the next start date.
7362 6380 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Kirksey, Dayn Syllabus Course Materials
ARIN 320 Artificial Intelligence Applications (3)
(No programming or math background required.) An interactive, hands-on study of current artificial intelligence (AI) applications spanning multiple disciplines and domains, including business, science, communications, and computing. The goal is to use datasets with AI and machine learning applications from leading cloud vendors, including Amazon and Microsoft. Projects and laboratory exercises demonstrate how AI can be used to solve problems across a wide variety of disciplines. Students may receive credit for only one of the following courses: ARIN 320 or CMSC 307.
Start date has passed. Please register for the next start date.
7363 6980 11 Feb 2026-07 Apr 2026 Closed Online
Faculty: Starcher, Mark L Syllabus Course Materials
ARIN 320 Artificial Intelligence Applications (3)
(No programming or math background required.) An interactive, hands-on study of current artificial intelligence (AI) applications spanning multiple disciplines and domains, including business, science, communications, and computing. The goal is to use datasets with AI and machine learning applications from leading cloud vendors, including Amazon and Microsoft. Projects and laboratory exercises demonstrate how AI can be used to solve problems across a wide variety of disciplines. Students may receive credit for only one of the following courses: ARIN 320 or CMSC 307.
7364 7380 11 Mar 2026-05 May 2026 Closed Online
Faculty: Kirksey, Dayn Syllabus Course Materials
ARIN 320 Artificial Intelligence Applications (3)
(No programming or math background required.) An interactive, hands-on study of current artificial intelligence (AI) applications spanning multiple disciplines and domains, including business, science, communications, and computing. The goal is to use datasets with AI and machine learning applications from leading cloud vendors, including Amazon and Microsoft. Projects and laboratory exercises demonstrate how AI can be used to solve problems across a wide variety of disciplines. Students may receive credit for only one of the following courses: ARIN 320 or CMSC 307.
Start date has passed. Please register for the next start date.
7703 6381 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Potolea, Rodica Syllabus Course Materials
ARIN 320 Artificial Intelligence Applications (3)
(No programming or math background required.) An interactive, hands-on study of current artificial intelligence (AI) applications spanning multiple disciplines and domains, including business, science, communications, and computing. The goal is to use datasets with AI and machine learning applications from leading cloud vendors, including Amazon and Microsoft. Projects and laboratory exercises demonstrate how AI can be used to solve problems across a wide variety of disciplines. Students may receive credit for only one of the following courses: ARIN 320 or CMSC 307.
Start date has passed. Please register for the next start date.
7704 6382 07 Jan 2026-03 Mar 2026 Closed Online
Faculty: Aftab, Mohammed Manauwar Syllabus Course Materials
ARIN 320 Artificial Intelligence Applications (3)
(No programming or math background required.) An interactive, hands-on study of current artificial intelligence (AI) applications spanning multiple disciplines and domains, including business, science, communications, and computing. The goal is to use datasets with AI and machine learning applications from leading cloud vendors, including Amazon and Microsoft. Projects and laboratory exercises demonstrate how AI can be used to solve problems across a wide variety of disciplines. Students may receive credit for only one of the following courses: ARIN 320 or CMSC 307.
7705 7381 11 Mar 2026-05 May 2026 Closed Online
Faculty: McFarland, Ronald D Syllabus Course Materials
ARIN 320 Artificial Intelligence Applications (3)
(No programming or math background required.) An interactive, hands-on study of current artificial intelligence (AI) applications spanning multiple disciplines and domains, including business, science, communications, and computing. The goal is to use datasets with AI and machine learning applications from leading cloud vendors, including Amazon and Microsoft. Projects and laboratory exercises demonstrate how AI can be used to solve problems across a wide variety of disciplines. Students may receive credit for only one of the following courses: ARIN 320 or CMSC 307.
7706 7382 11 Mar 2026-05 May 2026 Closed Online
Faculty: Hoag, John Chester Syllabus Course Materials
ARIN 320 Artificial Intelligence Applications (3)
(No programming or math background required.) An interactive, hands-on study of current artificial intelligence (AI) applications spanning multiple disciplines and domains, including business, science, communications, and computing. The goal is to use datasets with AI and machine learning applications from leading cloud vendors, including Amazon and Microsoft. Projects and laboratory exercises demonstrate how AI can be used to solve problems across a wide variety of disciplines. Students may receive credit for only one of the following courses: ARIN 320 or CMSC 307.
Start date has passed. Please register for the next start date.
9550 6383 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Caramancion, Kevin Matthe Syllabus Course Materials
ARIN 320 Artificial Intelligence Applications (3)
(No programming or math background required.) An interactive, hands-on study of current artificial intelligence (AI) applications spanning multiple disciplines and domains, including business, science, communications, and computing. The goal is to use datasets with AI and machine learning applications from leading cloud vendors, including Amazon and Microsoft. Projects and laboratory exercises demonstrate how AI can be used to solve problems across a wide variety of disciplines. Students may receive credit for only one of the following courses: ARIN 320 or CMSC 307.
Start date has passed. Please register for the next start date.
9747 6384 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Kamruzzaman, Abu S Syllabus Course Materials
ARIN 320 Artificial Intelligence Applications (3)
(No programming or math background required.) An interactive, hands-on study of current artificial intelligence (AI) applications spanning multiple disciplines and domains, including business, science, communications, and computing. The goal is to use datasets with AI and machine learning applications from leading cloud vendors, including Amazon and Microsoft. Projects and laboratory exercises demonstrate how AI can be used to solve problems across a wide variety of disciplines. Students may receive credit for only one of the following courses: ARIN 320 or CMSC 307.
Start date has passed. Please register for the next start date.
9810 6981 11 Feb 2026-07 Apr 2026 Open Online
Faculty: Gong, Mingxing Syllabus Course Materials
ARIN 320 Artificial Intelligence Applications (3)
(No programming or math background required.) An interactive, hands-on study of current artificial intelligence (AI) applications spanning multiple disciplines and domains, including business, science, communications, and computing. The goal is to use datasets with AI and machine learning applications from leading cloud vendors, including Amazon and Microsoft. Projects and laboratory exercises demonstrate how AI can be used to solve problems across a wide variety of disciplines. Students may receive credit for only one of the following courses: ARIN 320 or CMSC 307.
Start date has passed. Please register for the next start date.
9883 6982 11 Feb 2026-07 Apr 2026 Open Online
Faculty: Duncan, Jessica Syllabus Course Materials
ARIN 320 Artificial Intelligence Applications (3)
(No programming or math background required.) An interactive, hands-on study of current artificial intelligence (AI) applications spanning multiple disciplines and domains, including business, science, communications, and computing. The goal is to use datasets with AI and machine learning applications from leading cloud vendors, including Amazon and Microsoft. Projects and laboratory exercises demonstrate how AI can be used to solve problems across a wide variety of disciplines. Students may receive credit for only one of the following courses: ARIN 320 or CMSC 307.
9994 7383 11 Mar 2026-05 May 2026 Open Online
Faculty: Syllabus Course Materials
ARIN 340 Generative AI (3)
A comprehensive introduction to generative artificial intelligence models, a cutting-edge area of AI that focuses on creating content such as images, music, and text. Topics include the underlying principles and techniques behind generative models, e.g., large language models. Emphasis is on practical applications that demonstrate how generative AI is revolutionizing industries such as art, music composition, and content creation. Discussion covers the creative potential of AI generative pretrained transformers. Hands-on experience with generative tools is provided.
Start date has passed. Please register for the next start date.
3759 6380 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Rajan, Sunil Syllabus Course Materials
ARIN 340 Generative AI (3)
A comprehensive introduction to generative artificial intelligence models, a cutting-edge area of AI that focuses on creating content such as images, music, and text. Topics include the underlying principles and techniques behind generative models, e.g., large language models. Emphasis is on practical applications that demonstrate how generative AI is revolutionizing industries such as art, music composition, and content creation. Discussion covers the creative potential of AI generative pretrained transformers. Hands-on experience with generative tools is provided.
Start date has passed. Please register for the next start date.
3966 6381 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Newton, Christopher Syllabus Course Materials
ARIN 340 Generative AI (3)
A comprehensive introduction to generative artificial intelligence models, a cutting-edge area of AI that focuses on creating content such as images, music, and text. Topics include the underlying principles and techniques behind generative models, e.g., large language models. Emphasis is on practical applications that demonstrate how generative AI is revolutionizing industries such as art, music composition, and content creation. Discussion covers the creative potential of AI generative pretrained transformers. Hands-on experience with generative tools is provided.
6816 7380 11 Mar 2026-05 May 2026 Closed Online
Faculty: Rajan, Sunil Syllabus Course Materials
ARIN 340 Generative AI (3)
A comprehensive introduction to generative artificial intelligence models, a cutting-edge area of AI that focuses on creating content such as images, music, and text. Topics include the underlying principles and techniques behind generative models, e.g., large language models. Emphasis is on practical applications that demonstrate how generative AI is revolutionizing industries such as art, music composition, and content creation. Discussion covers the creative potential of AI generative pretrained transformers. Hands-on experience with generative tools is provided.
6926 7381 11 Mar 2026-05 May 2026 Closed Online
Faculty: Bean, Brandon Syllabus Course Materials
ARIN 340 Generative AI (3)
A comprehensive introduction to generative artificial intelligence models, a cutting-edge area of AI that focuses on creating content such as images, music, and text. Topics include the underlying principles and techniques behind generative models, e.g., large language models. Emphasis is on practical applications that demonstrate how generative AI is revolutionizing industries such as art, music composition, and content creation. Discussion covers the creative potential of AI generative pretrained transformers. Hands-on experience with generative tools is provided.
Start date has passed. Please register for the next start date.
7707 6382 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Mohammed, Derek Syllabus Course Materials
ARIN 340 Generative AI (3)
A comprehensive introduction to generative artificial intelligence models, a cutting-edge area of AI that focuses on creating content such as images, music, and text. Topics include the underlying principles and techniques behind generative models, e.g., large language models. Emphasis is on practical applications that demonstrate how generative AI is revolutionizing industries such as art, music composition, and content creation. Discussion covers the creative potential of AI generative pretrained transformers. Hands-on experience with generative tools is provided.
7708 7382 11 Mar 2026-05 May 2026 Closed Online
Faculty: Newton, Christopher Syllabus Course Materials
ARIN 340 Generative AI (3)
A comprehensive introduction to generative artificial intelligence models, a cutting-edge area of AI that focuses on creating content such as images, music, and text. Topics include the underlying principles and techniques behind generative models, e.g., large language models. Emphasis is on practical applications that demonstrate how generative AI is revolutionizing industries such as art, music composition, and content creation. Discussion covers the creative potential of AI generative pretrained transformers. Hands-on experience with generative tools is provided.
Start date has passed. Please register for the next start date.
7725 6383 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Hershberger, Scott Syllabus Course Materials
ARIN 340 Generative AI (3)
A comprehensive introduction to generative artificial intelligence models, a cutting-edge area of AI that focuses on creating content such as images, music, and text. Topics include the underlying principles and techniques behind generative models, e.g., large language models. Emphasis is on practical applications that demonstrate how generative AI is revolutionizing industries such as art, music composition, and content creation. Discussion covers the creative potential of AI generative pretrained transformers. Hands-on experience with generative tools is provided.
7726 7383 11 Mar 2026-05 May 2026 Open Online
Faculty: Mohammed, Derek Syllabus Course Materials
ARIN 350 Responsible AI (3)
An in-depth examination of the ethical considerations, societal impact, and responsible use of AI. The goal is to navigate the ethical landscape of AI, make informed decisions, and promote responsible AI practices within one's organization. Topics include bias and fairness in AI algorithms, transparency, privacy concerns, and the ethical implications of generative AI models. Real-world examples of AI-related ethical challenges are explored through case studies and discussions.
6817 7380 11 Mar 2026-05 May 2026 Closed Online
Faculty: Ragunathan, Ragu Syllabus Course Materials
ARIN 350 Responsible AI (3)
An in-depth examination of the ethical considerations, societal impact, and responsible use of AI. The goal is to navigate the ethical landscape of AI, make informed decisions, and promote responsible AI practices within one's organization. Topics include bias and fairness in AI algorithms, transparency, privacy concerns, and the ethical implications of generative AI models. Real-world examples of AI-related ethical challenges are explored through case studies and discussions.
7709 7381 11 Mar 2026-05 May 2026 Closed Online
Faculty: Cooper, Gina Syllabus Course Materials
ARIN 350 Responsible AI (3)
An in-depth examination of the ethical considerations, societal impact, and responsible use of AI. The goal is to navigate the ethical landscape of AI, make informed decisions, and promote responsible AI practices within one's organization. Topics include bias and fairness in AI algorithms, transparency, privacy concerns, and the ethical implications of generative AI models. Real-world examples of AI-related ethical challenges are explored through case studies and discussions.
Start date has passed. Please register for the next start date.
7710 6380 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Habersham, Sherida Syllabus Course Materials
ARIN 350 Responsible AI (3)
An in-depth examination of the ethical considerations, societal impact, and responsible use of AI. The goal is to navigate the ethical landscape of AI, make informed decisions, and promote responsible AI practices within one's organization. Topics include bias and fairness in AI algorithms, transparency, privacy concerns, and the ethical implications of generative AI models. Real-world examples of AI-related ethical challenges are explored through case studies and discussions.
Start date has passed. Please register for the next start date.
7711 6381 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Chu, Hengyi Michael Syllabus Course Materials
ARIN 350 Responsible AI (3)
An in-depth examination of the ethical considerations, societal impact, and responsible use of AI. The goal is to navigate the ethical landscape of AI, make informed decisions, and promote responsible AI practices within one's organization. Topics include bias and fairness in AI algorithms, transparency, privacy concerns, and the ethical implications of generative AI models. Real-world examples of AI-related ethical challenges are explored through case studies and discussions.
7728 7382 11 Mar 2026-05 May 2026 Open Online
Faculty: Humphrey, Barry Syllabus Course Materials
ARIN 410 Artificial Intelligence in the Enterprise (3)
A project-based examination of the practical application of AI, transforming sectors such as finance, healthcare, marketing, and supply chain management. The aim is to identify opportunities for AI adoption in one's organization and leverage AI for strategic advantage. Topics include predictive analytics, recommendation systems, automated decision-making, and the integration of AI into business processes.
6818 7380 11 Mar 2026-05 May 2026 Closed Online
Faculty: Caramancion, Kevin Matthe Syllabus Course Materials
ARIN 410 Artificial Intelligence in the Enterprise (3)
A project-based examination of the practical application of AI, transforming sectors such as finance, healthcare, marketing, and supply chain management. The aim is to identify opportunities for AI adoption in one's organization and leverage AI for strategic advantage. Topics include predictive analytics, recommendation systems, automated decision-making, and the integration of AI into business processes.
Start date has passed. Please register for the next start date.
7712 6380 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Omar, Marwan Syllabus Course Materials
ARIN 410 Artificial Intelligence in the Enterprise (3)
A project-based examination of the practical application of AI, transforming sectors such as finance, healthcare, marketing, and supply chain management. The aim is to identify opportunities for AI adoption in one's organization and leverage AI for strategic advantage. Topics include predictive analytics, recommendation systems, automated decision-making, and the integration of AI into business processes.
Start date has passed. Please register for the next start date.
7729 6381 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Chulis, Kimberly Syllabus Course Materials
ARIN 410 Artificial Intelligence in the Enterprise (3)
A project-based examination of the practical application of AI, transforming sectors such as finance, healthcare, marketing, and supply chain management. The aim is to identify opportunities for AI adoption in one's organization and leverage AI for strategic advantage. Topics include predictive analytics, recommendation systems, automated decision-making, and the integration of AI into business processes.
7730 7381 11 Mar 2026-05 May 2026 Open Online
Faculty: Habersham, Sherida Syllabus Course Materials
ARIN 440 Advanced Machine Learning (3)
Prerequisites: DATA 230 and DATA 430. A project-based study of advanced concepts and applications in machine learning (ML), such as neural networks, support vector machines (SVM), ensemble models, deep learning, and reinforced learning. Emphasis is on building predictive models for practical business and social problems, developing complex and explainable predictive models, assessing classifiers, and comparing their performance. All stages of the ML life cycle are developed, following industry best practices for selecting methods and tools to build ML models, including Auto ML. Students may receive credit for only one of the following courses: ARIN 440 or DATA 440.
Start date has passed. Please register for the next start date.
7365 6380 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Guevara, Yamil E Syllabus Course Materials
ARIN 440 Advanced Machine Learning (3)
Prerequisites: DATA 230 and DATA 430. A project-based study of advanced concepts and applications in machine learning (ML), such as neural networks, support vector machines (SVM), ensemble models, deep learning, and reinforced learning. Emphasis is on building predictive models for practical business and social problems, developing complex and explainable predictive models, assessing classifiers, and comparing their performance. All stages of the ML life cycle are developed, following industry best practices for selecting methods and tools to build ML models, including Auto ML. Students may receive credit for only one of the following courses: ARIN 440 or DATA 440.
7366 7380 11 Mar 2026-05 May 2026 Closed Online
Faculty: Menon Gopalakrishna, Prahlad Syllabus Course Materials
ARIN 440 Advanced Machine Learning (3)
Prerequisites: DATA 230 and DATA 430. A project-based study of advanced concepts and applications in machine learning (ML), such as neural networks, support vector machines (SVM), ensemble models, deep learning, and reinforced learning. Emphasis is on building predictive models for practical business and social problems, developing complex and explainable predictive models, assessing classifiers, and comparing their performance. All stages of the ML life cycle are developed, following industry best practices for selecting methods and tools to build ML models, including Auto ML. Students may receive credit for only one of the following courses: ARIN 440 or DATA 440.
Start date has passed. Please register for the next start date.
7713 6381 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Paul, Rahul Syllabus Course Materials
ARIN 440 Advanced Machine Learning (3)
Prerequisites: DATA 230 and DATA 430. A project-based study of advanced concepts and applications in machine learning (ML), such as neural networks, support vector machines (SVM), ensemble models, deep learning, and reinforced learning. Emphasis is on building predictive models for practical business and social problems, developing complex and explainable predictive models, assessing classifiers, and comparing their performance. All stages of the ML life cycle are developed, following industry best practices for selecting methods and tools to build ML models, including Auto ML. Students may receive credit for only one of the following courses: ARIN 440 or DATA 440.
7714 7381 11 Mar 2026-05 May 2026 Open Online
Faculty: Cook, John A Syllabus Course Materials
ARIN 450 Data Ethics (3)
Prerequisite: DATA 430. A study of ethics within the context of data science, machine learning, and artificial intelligence. Emphasis is on examining data and model bias; building explainable, fair, trustable, and accurate predictive modeling systems; and reporting responsible results. Topics include the technology implications of human-centered machine learning and artificial intelligence on decision-making in organizations and government and the broader impact on society, including multinational and global effects. Students may receive credit for only one of the following courses: ARIN 450 or DATA 450.
Start date has passed. Please register for the next start date.
7367 6380 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Duan, Chaojie Syllabus Course Materials
ARIN 450 Data Ethics (3)
Prerequisite: DATA 430. A study of ethics within the context of data science, machine learning, and artificial intelligence. Emphasis is on examining data and model bias; building explainable, fair, trustable, and accurate predictive modeling systems; and reporting responsible results. Topics include the technology implications of human-centered machine learning and artificial intelligence on decision-making in organizations and government and the broader impact on society, including multinational and global effects. Students may receive credit for only one of the following courses: ARIN 450 or DATA 450.
7368 7380 11 Mar 2026-05 May 2026 Closed Online
Faculty: Duan, Chaojie Syllabus Course Materials
ARIN 450 Data Ethics (3)
Prerequisite: DATA 430. A study of ethics within the context of data science, machine learning, and artificial intelligence. Emphasis is on examining data and model bias; building explainable, fair, trustable, and accurate predictive modeling systems; and reporting responsible results. Topics include the technology implications of human-centered machine learning and artificial intelligence on decision-making in organizations and government and the broader impact on society, including multinational and global effects. Students may receive credit for only one of the following courses: ARIN 450 or DATA 450.
Start date has passed. Please register for the next start date.
7715 6381 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Chakraborty, Sounak Syllabus Course Materials
ARIN 450 Data Ethics (3)
Prerequisite: DATA 430. A study of ethics within the context of data science, machine learning, and artificial intelligence. Emphasis is on examining data and model bias; building explainable, fair, trustable, and accurate predictive modeling systems; and reporting responsible results. Topics include the technology implications of human-centered machine learning and artificial intelligence on decision-making in organizations and government and the broader impact on society, including multinational and global effects. Students may receive credit for only one of the following courses: ARIN 450 or DATA 450.
7716 7381 11 Mar 2026-05 May 2026 Open Online
Faculty: Chu, Hengyi Michael Syllabus Course Materials
ARIN 460 Artificial Intelligence Solutions (3)
(Designed to help prepare for the AWS Certified Machine Learning or Microsoft Designing and Implementing an Azure AI Solution exam.) Prerequisite: DATA 430. A hands-on, project-based study of artificial intelligence and machine learning solutions to complex problems. Topics include natural language processing, computer vision, and speech recognition. Students may receive credit for only one of the following courses: ARIN 460 or DATA 460.
Start date has passed. Please register for the next start date.
7369 6380 07 Jan 2026-03 Mar 2026 Closed Online
Faculty: Gagner, David W Syllabus Course Materials
ARIN 460 Artificial Intelligence Solutions (3)
(Designed to help prepare for the AWS Certified Machine Learning or Microsoft Designing and Implementing an Azure AI Solution exam.) Prerequisite: DATA 430. A hands-on, project-based study of artificial intelligence and machine learning solutions to complex problems. Topics include natural language processing, computer vision, and speech recognition. Students may receive credit for only one of the following courses: ARIN 460 or DATA 460.
7370 7380 11 Mar 2026-05 May 2026 Open Online
Faculty: Gagner, David W Syllabus Course Materials
ARIN 460 Artificial Intelligence Solutions (3)
(Designed to help prepare for the AWS Certified Machine Learning or Microsoft Designing and Implementing an Azure AI Solution exam.) Prerequisite: DATA 430. A hands-on, project-based study of artificial intelligence and machine learning solutions to complex problems. Topics include natural language processing, computer vision, and speech recognition. Students may receive credit for only one of the following courses: ARIN 460 or DATA 460.
Start date has passed. Please register for the next start date.
7717 6381 07 Jan 2026-03 Mar 2026 Open Online
Faculty: Bean, Brandon Syllabus Course Materials
ARIN 460 Artificial Intelligence Solutions (3)
(Designed to help prepare for the AWS Certified Machine Learning or Microsoft Designing and Implementing an Azure AI Solution exam.) Prerequisite: DATA 430. A hands-on, project-based study of artificial intelligence and machine learning solutions to complex problems. Topics include natural language processing, computer vision, and speech recognition. Students may receive credit for only one of the following courses: ARIN 460 or DATA 460.
7718 7381 11 Mar 2026-05 May 2026 Open Online
Faculty: Elizes, Romerl Syllabus Course Materials
ARIN 470 Advanced AI Developer Topics (3)
Prerequisites:33 credits of major coursework. A hands-on project-based study of concepts, tools, and techniques relevant to AI developers. Topics are selected to reflect the latest trends in artificial intelligence.
7372 7380 11 Mar 2026-05 May 2026 Open Online
Faculty: Syllabus Course Materials
ARIN 475 Advanced AI Applications Topics (3)
Prerequisites: 33 credits of major coursework. A hands-on project-based study of concepts, tools, and techniques relevant to the use of AI applications. Topics are selected to reflect the latest trends in artificial intelligence.
7374 7380 11 Mar 2026-05 May 2026 Open Online
Faculty: Chmiel, Alan Syllabus Course Materials
ARIN 495 Artificial Intelligence Capstone (3)
Prerequisites:33 credits of major coursework. A project-based, practical application of the knowledge, technical skills, and critical thinking skills acquired during previous study designed to showcase the student's expertise in artificial intelligence. Individually selected projects involve either a focus on AI applications or AI development and result in a peer-reviewed final deliverable and presentation. Topics are selected from student-affiliated organizations or employers, special government/private agency requests, or other faculty-approved sources in a wide range of domains, such as healthcare, financial services, marketing, sciences, and government.
7375 7380 11 Mar 2026-05 May 2026 Open Online
Faculty: Kamruzzaman, Abu S Syllabus Course Materials
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