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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20260408T103429
DTSTART;TZID=America/Detroit:20260622T080000
DTEND;TZID=America/Detroit:20260622T164500
SUMMARY:Workshop / Seminar:Biomedical Data Science Summer Academy
DESCRIPTION:Academy Overview\nThe Biomedical Summer Academy will introduce participants to key concepts of data science and artificial intelligence\, showing how they can be leveraged in biomedical research and incorporated into grant proposals. Previous course topics have included introductions to Python programming\, machine learning techniques\, and use-case examples.\n\nParticipants are expected to bring a laptop for the academy.\n\nTopics:\n\nKey concepts of data science\nIntroduction to Python programming and its use in data science\nMachine learning techniques\, including support vector machines\, artificial neural networks\, and deep learning\nExamples of biomedical research projects that leverage data science\nIncorporating data science into biomedical grant proposals
UID:147529-21901182@events.umich.edu
URL:https://events.umich.edu/event/147529
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Artificial Intelligence,Biomedical,Biosciences,Data Science,Medicine,Research
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T103429
DTSTART;TZID=America/Detroit:20260623T080000
DTEND;TZID=America/Detroit:20260623T164500
SUMMARY:Workshop / Seminar:Biomedical Data Science Summer Academy
DESCRIPTION:Academy Overview\nThe Biomedical Summer Academy will introduce participants to key concepts of data science and artificial intelligence\, showing how they can be leveraged in biomedical research and incorporated into grant proposals. Previous course topics have included introductions to Python programming\, machine learning techniques\, and use-case examples.\n\nParticipants are expected to bring a laptop for the academy.\n\nTopics:\n\nKey concepts of data science\nIntroduction to Python programming and its use in data science\nMachine learning techniques\, including support vector machines\, artificial neural networks\, and deep learning\nExamples of biomedical research projects that leverage data science\nIncorporating data science into biomedical grant proposals
UID:147529-21901183@events.umich.edu
URL:https://events.umich.edu/event/147529
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Artificial Intelligence,Biomedical,Biosciences,Data Science,Medicine,Research
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T103429
DTSTART;TZID=America/Detroit:20260624T080000
DTEND;TZID=America/Detroit:20260624T164500
SUMMARY:Workshop / Seminar:Biomedical Data Science Summer Academy
DESCRIPTION:Academy Overview\nThe Biomedical Summer Academy will introduce participants to key concepts of data science and artificial intelligence\, showing how they can be leveraged in biomedical research and incorporated into grant proposals. Previous course topics have included introductions to Python programming\, machine learning techniques\, and use-case examples.\n\nParticipants are expected to bring a laptop for the academy.\n\nTopics:\n\nKey concepts of data science\nIntroduction to Python programming and its use in data science\nMachine learning techniques\, including support vector machines\, artificial neural networks\, and deep learning\nExamples of biomedical research projects that leverage data science\nIncorporating data science into biomedical grant proposals
UID:147529-21901184@events.umich.edu
URL:https://events.umich.edu/event/147529
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Artificial Intelligence,Biomedical,Biosciences,Data Science,Medicine,Research
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T103429
DTSTART;TZID=America/Detroit:20260625T080000
DTEND;TZID=America/Detroit:20260625T164500
SUMMARY:Workshop / Seminar:Biomedical Data Science Summer Academy
DESCRIPTION:Academy Overview\nThe Biomedical Summer Academy will introduce participants to key concepts of data science and artificial intelligence\, showing how they can be leveraged in biomedical research and incorporated into grant proposals. Previous course topics have included introductions to Python programming\, machine learning techniques\, and use-case examples.\n\nParticipants are expected to bring a laptop for the academy.\n\nTopics:\n\nKey concepts of data science\nIntroduction to Python programming and its use in data science\nMachine learning techniques\, including support vector machines\, artificial neural networks\, and deep learning\nExamples of biomedical research projects that leverage data science\nIncorporating data science into biomedical grant proposals
UID:147529-21901185@events.umich.edu
URL:https://events.umich.edu/event/147529
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Artificial Intelligence,Biomedical,Biosciences,Data Science,Medicine,Research
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T103429
DTSTART;TZID=America/Detroit:20260626T080000
DTEND;TZID=America/Detroit:20260626T164500
SUMMARY:Workshop / Seminar:Biomedical Data Science Summer Academy
DESCRIPTION:Academy Overview\nThe Biomedical Summer Academy will introduce participants to key concepts of data science and artificial intelligence\, showing how they can be leveraged in biomedical research and incorporated into grant proposals. Previous course topics have included introductions to Python programming\, machine learning techniques\, and use-case examples.\n\nParticipants are expected to bring a laptop for the academy.\n\nTopics:\n\nKey concepts of data science\nIntroduction to Python programming and its use in data science\nMachine learning techniques\, including support vector machines\, artificial neural networks\, and deep learning\nExamples of biomedical research projects that leverage data science\nIncorporating data science into biomedical grant proposals
UID:147529-21901186@events.umich.edu
URL:https://events.umich.edu/event/147529
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Artificial Intelligence,Biomedical,Biosciences,Data Science,Medicine,Research
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260713T090000
DTEND;TZID=America/Detroit:20260713T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901187@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260714T090000
DTEND;TZID=America/Detroit:20260714T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901188@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260715T090000
DTEND;TZID=America/Detroit:20260715T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901189@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260716T090000
DTEND;TZID=America/Detroit:20260716T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901190@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260717T090000
DTEND;TZID=America/Detroit:20260717T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901191@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260720T090000
DTEND;TZID=America/Detroit:20260720T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901194@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260721T090000
DTEND;TZID=America/Detroit:20260721T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901195@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260722T090000
DTEND;TZID=America/Detroit:20260722T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901196@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260723T090000
DTEND;TZID=America/Detroit:20260723T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901197@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260724T090000
DTEND;TZID=America/Detroit:20260724T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901198@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260727T090000
DTEND;TZID=America/Detroit:20260727T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901201@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260728T090000
DTEND;TZID=America/Detroit:20260728T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901202@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260729T090000
DTEND;TZID=America/Detroit:20260729T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901203@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260730T090000
DTEND;TZID=America/Detroit:20260730T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901204@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260408T104211
DTSTART;TZID=America/Detroit:20260731T090000
DTEND;TZID=America/Detroit:20260731T160000
SUMMARY:Workshop / Seminar:AI for Scientists and Engineers Summer Academy
DESCRIPTION:Academy Overview\nThe AI for Scientists and Engineers Summer Academy is designed for academic researchers\, including university faculty\, in a wide range of domains including biological sciences\, engineering\, environmental and earth science\, physical sciences\, and social sciences. Participants will learn the mathematical foundations of machine learning (ML)\, critically assess the data used in AI models\, evaluate and validate ML model outputs\, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics\; prior coding experience is not required. Specific topics include supervised and unsupervised learning\, neural networks\, causal inference\, and science-informed machine learning models.\n\nThe Summer Academy consists of three weeks of instructions\, with different focuses. One can choose to attend any or all weeks\; however\, weeks 2 and 3 require some prior knowledge of AI / ML.\n\nWeek 1 (Monday\, July 13 – Friday\, July 17\, 2026): The conceptual understanding of AI and its applications in domain research.\nWeek 2 (Monday\, July 20 – Friday\, July 24\, 2026): The implementation of ML models in a Python environment.\nWeek 3 (Monday\, July 27 – Friday\, July 31\, 2026): Advanced topics of AI and its applications in domain research.
UID:147530-21901205@events.umich.edu
URL:https://events.umich.edu/event/147530
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Ai In Science And Engineering,Artificial Intelligence,data,Data Science,Electrical And Computer Engineering,Electrical Engineering and Computer Science,Engineering,Engineering Academic Calendar,Graduate,Graduate School,Graduate Students,Industrial and Operations Engineering,Information and Technology,Literature Science And The Arts,Mechanical Engineering,Michigan Engineering,Michigan Robotics,Naval Architecture and Marine Engineering,Postdoctoral Research Fellows,Professional Development,Rackham,Science
LOCATION:
CONTACT:
END:VEVENT
END:VCALENDAR