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
Practical HPC for Engaging
Practical HPC for Engaging
There comes a time when a laptop or desktop is not enough. Engaging is available to the MIT community to enable this sort of work. This course will get you ready to use Engaging and get started scaling your code. . . .
Practical HPC: Self-Paced
Practical HPC: Self-Paced
There comes a time when a laptop or desktop is not enough. The MIT Supercloud is available to the MIT community, MGHPCC partners, and collaborators to enable this sort of work. This course will get you ready to use the . . .
Trusted Analytics
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 . . .
Artificial Intelligence Foundations
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 . . .