Division of Computing Instruction

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http://www.cc.gatech.edu/about/administration/instruction

David Smith

Lecturer

Biography

David Smith retired from Lockheed Martin Aeronautics Company after 31 years as a specialist in software and software architectures.  He has been designing and teaching freshman CS classes since 1997, and is currently teaching three CS classes for Engineers.

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Monica Sweat

Lecturer

Office:
Office CCB 110
Email:
sweat [at] cc [dot] gatech [dot] edu (Send Email)

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Jay Summet

Lecturer

Biography

Dr. Jay Summet is a super cool lecturer and in his spare time he leaps tall buildings with a single bound. He taught himself to juggle and solve rubik's cubes, although he later forgot how to solve rubik's cubes and has two available for purchase, partly solved. He owns more bikes than cars, more degrees than bikes, more computers than degrees, and more robots than computers. He writes off some of the robots on his taxes because they are a business expense.

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Thomas Pilsch

Assistant Dean for Operations

Biography

Tom Pilsch is Assistant Dean for Students and Associate Director of the Division of Computing Instruction, College of Computing at the Georgia Institute of Technology.   He leads a team responsible for providing quality support for the College's instructional mission.   From 1997 to 2003 he served as the College's Assistant Dean for Continuing Education and Special Programs. 

His professional interests include strategic planning, leadership development, aircraft operations and design, and the history of war. 

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William Leahy

Director of the Division of Computing Instruction; Lecturer

Office:
KACB
Email:
william [dot] leahy [at] cc [dot] gatech [dot] edu (Send Email)

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Olufisayo Omojokun

Lecturer

Office:
CCB Office 137
Email:
omojokun [at] cc [dot] gatech [dot] edu (Send Email)

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Kristin Marsicano

Lecturer

Office:
CCB Office 133
Email:
kristin [at] gatech [dot] edu (Send Email)

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Charles Isbell, Jr.

Associate Dean for Academic Affairs; Professor

Biography

Dr. Isbell's research passion is artificial intelligence. In particular, he focuses on applying statistical machine learning to building autonomous agents that must live and interact with large numbers of other intelligent agents, some of whom may be human.

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Robert Waters Jr.

Lecturer

Email:
robert [dot] waters [at] cc [dot] gatech [dot] edu (Send Email)

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