Artificial Intelligence Fundamentals (AI16)

Offered in coordination with UB’s Artificial Intelligence Institute and School of Engineering and Applied Sciences, this course equips learners with an exploration of the rapidly expanding field of artificial intelligence (AI) and its impact on the global economy. It is an introduction to the integral elements of AI and its future implications. The course covers AI topics, with a concentration on big data analytics, machine learning and problem solving. Also included is an online exploration of MATLAB software. 

Topics include:

  • What is AI?
  • Data and algorithmic biases
  • Ethical and societal challenges
  • Security
  • Problem-solving strategies and techniques
  • Machine learning
  • Industry impact
  • The future of AI
  • Software tools of AI

Hours: 16

Learning Outcomes

  • Identify the fundamental concepts of AI
  • Understand a basic set of tools available to solve specific industry problems

Intended Audience

Anyone interested in AI, including, but not limited to: business executives, software developers, entrepreneurs and student

Prerequisites

None

Credential opportunities

  • Professional Development Hours (PDHs): licensed professional engineers may earn 16 PDHs after completing the course and passing a short assessment of learning
  • Digital badge: anyone who completes the course and submits “evidence” of learning (a written response to TCIE-generated questions) receives an icon, which contains a repository of information, that can be uploaded to a social media account or embedded in an electronic resume

Course Schedule

8 a.m. to 5 p.m.

August 13 and 14, 2019

UB Baird Research Park

Instructor Bio: David Doermann

David Doermann.

David Doermann, PhD, is a Professor of Empire Innovation and the director of the Artificial Intelligence Institute at UB. Previously he was a program manager with the Information Innovation Office at the Defense Advanced Research Projects Agency (DARPA), where he developed, selected and oversaw research and transition funding in the areas of computer vision, human language technologies and voice analytics. From 1993 to 2018, Doermann was a member of the research faculty at the University of Maryland, College Park. In his role at the Institute for Advanced Computer Studies, he served as director of the Laboratory for Language and Media Processing, and as an adjunct member of the graduate faculty for the computer science, as well as electrical and computer engineering, departments. He and his group of researchers focus on many innovative topics related to analysis and processing of document images and video, including triage, visual indexing and retrieval, enhancement and recognition of both textual and structural components of visual media.

 

 

COURSE CLOSED!

Another session may be scheduled if there is enough demand. Contact Mariah Glass at mariahgl@buffalo.edu 
if interested.