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2025 Spring: January 8 - May 6
Course | Class No. | Section | Start & End Date | Day | Time | Status | Location |
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2025 Spring: January 8 - May 6
Course | Class No. | Section | Start & End Date | Day | Time | Status | Location |
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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. |
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Start date has passed. Please register for the next start date. | |||||||
26751 | 6380 | 08 Jan 2025-04 Mar 2025 | Open | Online | |||
Faculty: Goldberg, Katherine Leaming | 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. |
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26753 | 7380 | 12 Mar 2025-06 May 2025 | 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. |
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Start date has passed. Please register for the next start date. | |||||||
26916 | 6381 | 08 Jan 2025-04 Mar 2025 | Open | Online | |||
Faculty: Newton, Christopher | 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. |
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Start date has passed. Please register for the next start date. | |||||||
27138 | 6382 | 08 Jan 2025-04 Mar 2025 | Open | Online | |||
Faculty: Martin, Ulyana P | 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. |
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27206 | 7381 | 12 Mar 2025-06 May 2025 | 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. |
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Start date has passed. Please register for the next start date. | |||||||
27268 | 6383 | 08 Jan 2025-04 Mar 2025 | Open | Online | |||
Faculty: Paul, Rahul | 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. |
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Start date has passed. Please register for the next start date. | |||||||
27441 | 6384 | 08 Jan 2025-04 Mar 2025 | Closed | 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. |
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27544 | 7382 | 12 Mar 2025-06 May 2025 | 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. |
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Start date has passed. Please register for the next start date. | |||||||
26752 | 6380 | 08 Jan 2025-04 Mar 2025 | Closed | Online | |||
Faculty: Holbert, Brian J | 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. |
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26754 | 7380 | 12 Mar 2025-06 May 2025 | 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. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
27372 | 6381 | 08 Jan 2025-04 Mar 2025 | Open | Online | |||
Faculty: Chulis, Kimberly | 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. |
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27625 | 7381 | 12 Mar 2025-06 May 2025 | Open | Online | |||
Faculty: | 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. |
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26755 | 7380 | 12 Mar 2025-06 May 2025 | Open | Online | |||
Faculty: Schultz, Christopher | 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. |
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26756 | 7380 | 12 Mar 2025-06 May 2025 | Open | Online | |||
Faculty: Chulis, Kimberly | Syllabus | Course Materials |