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MED 299 (Section ID 81650): Cloud Computing (3 credits)

Instructor: Shamim Nemati, Ph.D.
Co-Instructor: Supreeth Prajwal Shashikumar, Ph.D.

When and where: Spring 2022, Tuesdays and Thursdays, 3:00  - 4:30 p.m.  ACTRI, 2W516

Overview:  Scalable computing on the Cloud is becoming increasingly ubiquitous across industry and academia. This course introduces the core concepts of secure and privacy-preserving computing on the Cloud with an emphasis on Behavioral, Social, and Health Data. Whether you are an informatics student, looking into scaling your applications in a HIPAA compliant cloud environment, or somebody who likes to learn more about informatics-related resources available on the Cloud, this course is for you. 

Objectives
Upon completion of this course, students will be able to:

  • Explain the advantages of cloud offerings compared to on-premise
  • Explain the various Service models on Cloud as IaaS, PaaS and SaaS
  • Name and describe Storage, Infrastructure, Compute, and Data resources on popular Cloud service providers
  • Explain legal and compliance requirements, including HIPAA security and privacy rules, HIPAA safe harbor, and GDPR, and implement necessary encryption and decryption tools, identity and access management, and key management
  • Implement scalable computing solutions, including Containers and Serverless Computing
  • Develop Python, R, and SQL applications with managed Jupyter notebooks on the Cloud
  • Query and analyze publicly available big data including NIH sponsored All of US research data, Medicare utilization dataset, and MIMIC-III clinical data, among others

Class organization:  In class lecture, hands-on practice, discussion and student presentation (unless virtual learning is required)

Topics
  • VMs, Networking, Storage
  • HIPAA, Security and Privacy
  • Managed Services on the Cloud
  • Public Datasets
  • Serverless Computing

Materials and Prerequisites

  • Class reading material will be distributed before each session as necessary
  • A laptop computer will be required for the course
  • Familiarity with Python or R, and SQL