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Dr. Julie Mullen

Dr. Julie Mullen is a member of the technical staff in the MIT Lincoln Laboratory Supercomputing Center (LLSC) where she assists researchers in maximizing their use of high performance computing resources in order to minimize their time to solution. Additionally, Dr. Mullen leads the design and creation of online professional education courseware for the LLSC, where she pursues research in learning analytics for adaptive learning design and the integration of hands-on physical construction and experimentation with MOOC platforms and technologies. Her work has been published in both the scientific computing and educational domains.

Courses taught by Dr. Julie Mullen

Advanced Database Technologies - Self-paced

Advanced Database Technologies - Self-paced

Q2_2019

This course looks at the database ecosystem with an emphasis on developing a full Big Data system.  By completing this course you will understand and appreciate the different components of complex Big Data Systems be able to select suitable tools . . .

  • Free
  • Apr 22, 2022
  • Q2_2019
  • Dr. Julie Mullen, Ms. Lauren Milechin, Dr. Jeremy Kepner, Dr. Vijay Gadepally
  • Duration: Not Defined
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Advanced Database Technologies - Self-paced

This course looks at the database ecosystem with an emphasis on developing a full Big Data system.  By completing this course you will understand and appreciate the different components of complex Big Data Systems be able to select suitable tools . . .

Duration: Not Defined Read More

Trusted Analytics

Trusted Analytics

Self-paced

The Trusted Analytics course introduces students to topics of Artificial Intelligence and Machine Learning with an emphasis on building trust.  The issue of trust affects confidence in the analytics and artificial intelligence-machine learning systems in tandem with developing the trust . . .

  • Free
  • Mar 31, 2022
  • Self-paced
  • Dr. Sarah Mcguire, Dr. Julie Mullen, Ms. Lauren Milechin, Dr. Jeremy Kepner, Dr. Michael Yee, Mr. Justin Goodwin, Dr. Vijay Gadepally
  • Duration: Not Defined
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Trusted Analytics

The Trusted Analytics course introduces students to topics of Artificial Intelligence and Machine Learning with an emphasis on building trust.  The issue of trust affects confidence in the analytics and artificial intelligence-machine learning systems in tandem with developing the trust . . .

Duration: Not Defined Read More

Artificial Intelligence Foundations

Artificial Intelligence Foundations

Self-paced

The course begins with a brief history of Artificial Intelligence (AI), including a survey of representative AI success stories and covers topics such as AI data requirements and conditioning, a selection of AI techniques including supervised learning, unsupervised learning and . . .

  • Free
  • Apr 06, 2022
  • Self-paced
  • Dr. Sarah Mcguire, Dr. Julie Mullen, Ms. Lauren Milechin, Dr. Vijay Gadepally, Dr. Charlie Dagli, Dr. Mykel Kochenderfer, Dr. Olga Simek, Dr. Rajmonda Caceres, Dr. Ryan Soklaski, Mr. David Martinez
  • Duration: Not Defined
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Artificial Intelligence Foundations

The course begins with a brief history of Artificial Intelligence (AI), including a survey of representative AI success stories and covers topics such as AI data requirements and conditioning, a selection of AI techniques including supervised learning, unsupervised learning and . . .

Duration: Not Defined Read More