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CALSCALE:GREGORIAN
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BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20230822T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20230822T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683414787
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20230824T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20230824T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683415812
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20230829T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20230829T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683417861
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20230831T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20230831T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683418886
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20230905T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20230905T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683420935
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20230907T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20230907T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683421960
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20230912T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20230912T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683424009
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20230914T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20230914T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683425034
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20230919T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20230919T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683427083
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20230921T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20230921T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683428108
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20230926T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20230926T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683430157
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20230928T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20230928T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683431182
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231003T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20231003T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683433231
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231005T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20231005T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683434256
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231010T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20231010T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683435281
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231012T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20231012T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683437330
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231017T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20231017T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683438355
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231019T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20231019T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683440404
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231024T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20231024T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683441429
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231026T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20231026T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683443478
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231031T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20231031T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683445527
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231102T205000Z
DTSTAMP:20240723T032737Z
DTSTART:20231102T193000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683446552
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231107T215000Z
DTSTAMP:20240723T032737Z
DTSTART:20231107T203000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683447577
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231109T215000Z
DTSTAMP:20240723T032737Z
DTSTART:20231109T203000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683449626
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231114T215000Z
DTSTAMP:20240723T032737Z
DTSTART:20231114T203000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683450651
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231116T215000Z
DTSTAMP:20240723T032737Z
DTSTART:20231116T203000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683452700
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231121T215000Z
DTSTAMP:20240723T032737Z
DTSTART:20231121T203000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683453725
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231123T215000Z
DTSTAMP:20240723T032737Z
DTSTART:20231123T203000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683455774
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231128T215000Z
DTSTAMP:20240723T032737Z
DTSTART:20231128T203000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683456799
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231130T215000Z
DTSTAMP:20240723T032737Z
DTSTART:20231130T203000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683458848
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231205T215000Z
DTSTAMP:20240723T032737Z
DTSTART:20231205T203000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683459873
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231207T215000Z
DTSTAMP:20240723T032737Z
DTSTART:20231207T203000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683460898
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
BEGIN:VEVENT
CATEGORIES:
DESCRIPTION:Mathematics of Data Science\n\nWilliam E. Hahn\, Ph.D.\n\nOffic
e: Wimberly Library\, Room 103 (Sandbox)\n\nEmail: whahn@fau.edu\n\nCourse
Objectives/Student Learning Outcomes\n\n1. Understand the fundamentals of n
eural networks and deep learning algorithms \n\n2. Learn various methods us
ed to construct\, train\, evaluate and deploy mathematical models \n\n3. An
alyze different types of input data including image data \n\n4. Utilize Py
thon libraries such as PyTorch for building data science notebooks \n\n \n\
nCourse Number: MAP-2192\n\nCRN: 14640 \n\nCredits: 3 credits
DTEND:20231212T215000Z
DTSTAMP:20240723T032737Z
DTSTART:20231212T203000Z
GEO:26.371844;-80.104355
LOCATION:S. E. Wimberly Library\, Gruber Sandbox (LY 103)
SEQUENCE:0
SUMMARY:Mathematics of Data Science
UID:tag:localist.com\,2008:EventInstance_43677683462947
URL:https://calendar.fau.edu/event/Fall_2023_Math_of_Data_Sci
END:VEVENT
END:VCALENDAR