Status
09/14/22: Successful meeting with Everett. Dennis and Donal are instructor candidates in UMD AWS Academy. Dennis will pursue training and revisit syllabus draft in a few weeks. Happy to brief anyone on where we intend to go with this.
9/19/22: Dennis completed initial online training and can create courses in AWS Learner Lab (open ended sandbox, $100 per student); AWS Academy Cloud Foundations, AWS Academy Introduction to Cloud 1 and 2, and AWS Academy Data Center Technician, all of which have various relevance to the end of 346 and the various visions for 347. Next step is to complete some of these courses; understand the commitments implied by teaching them; and select what experiences meet our learning outcomes.
November 22: over 2/3 (120) INST 346 students are completing the AWS Cloud Foundations Course Module 0, 1 (S3), and 3 (Architecture) modules, 6 hours of instruction out of 20 total hours in that course. Evaluating for use of the entire course, and other AWS Academy resources, in 346 and 347.
https://umd.campuslabs.com/engage/organization/data-and-cloud-computing-society
https://undergrad.cs.umd.edu/data-and-cloud-computing-society
https://umd-cs-stics.gitbooks.io/cmsc389l-practical-cloud-computing-spring-2018/content/
ddd
Brief
Investigate creation of a follow-on course to 346 to give cloud computing for beginners more adequate coverage than is possible in 346. Separately but perhaps synergistically, ESG students have requested coursework in Cloud Computing.
Collaborator(s)
Dennis Frezzo, Donal Heidenblad, Galina Madjaroff
Preliminary Resources
AWS Cloud Quest Role-Playing Game (with Free Tier)
AWS Academy (investigating UMD Institutional account/ meeting on 9/12/22 with DIT)
Barcelona Supercomputing Center
https://www.google.com/about/datacenters/
In IoT Lab - “Cloud Rack” (as small groups)
Syllabus Draft
Course Title: Cloud Computing Fundamentals
Course Number: INST 347
Term: Spring 2023
Credits: 3
Course Format: Online; blended
Faculty: Dennis Frezzo and Donal Heidenblad
Pronouns: TBD
Contact Information: TBD
Assistants: TBD
Class time and location: Section 0101. One synchronous online meeting per week.
Required Textbook(s)/Resources/Equipment:
Course Website: http://elms.umd.edu
Required Books
Hoff 2017: Explain the Cloud Like I’m 10 (Kindle)
Comer 2021: The Cloud Computing Book (available on course reserves at UMD library)
Optional Books
Technology-Specific Books
Baron 2020: AWS: The Complete Beginner’s Guide
Vergadia 2022: Visualizing Google Cloud 101
Warner 2020: Microsoft Azure for Dummies
Other eBooks as needs and opportunities arise
Laptop (or desktop) computer onto which you can install software, and with an Internet Connection to ELMS and other services for labs and activities:
Free software as needs and opportunities arise, including Cisco Packet Tracer, and VMWare through DIT and VMWare IT Academy
Course Schedule and Documents: The course schedule, reading plan, assignment instructions and rubrics, research resources, and other helpful documents will be available in ELMS.
Office Hours: The professor will hold office hours remotely, by Zoom (details in ELMS). In-person meetings with the professor can also be scheduled at mutually convenient times on campus. Details in ELMS.
Course Description and Objectives
What is cloud computing? Where does cloud computing occur? How can we use cloud computing to solve problems and create opportunities? In this course, the foundations and operation of cloud computing, with a focus on information science applications, will be presented. Key cloud functions such as computing, storage, databases, and networking will be examined. Major cloud provider’s will be contrasted. The course will conclude with a practical application of cloud services to design and implement a cloud solution to a social or environmental problem.
Prerequisite: Minimum grade of C- in 346.
Student Learning Outcomes:
After successfully completing this course you will be able to:
Articulate and apply the major benefits of cloud computing
Build simple models of physical and virtual cloud computing infrastructure
Differentiate amongst compute, storage, database, and network functions in the cloud
Analyze major cloud service provider’s services
Design and implement a cloud solution with architectural, economic, and security constraints
Design and critically evaluate existing designs for cloud computing users from diverse backgrounds with varying needs, applying anti-racist perspectives to ensure usability needs are met
Course Activities:
Online Discussions and Wiki (15%): Synchronous and asynchronous to help you build relationships with other students, despite the online nature of the course, and to help you join the cloud computing community by using terminology and concepts.
Quizzes (10%): to help provide practice with feedback along the way.
Homework and Lab Activities (50%): weekly practice in the form of problems from lectures, reading, and labs
Final Project Assignment (20%): choose from a menu of options to put your skills to work, in a group
Midterm (5%): Take-home individual event to help gauge your progress.
More Details in ELMS
Approximate Weekly Schedule
Week | Topics | Deliverables |
---|---|---|
1 | What is Cloud Computing? Hoff, Ch. 1-14, Explain the Cloud Like I’m 10. | Identity Discover Roadmap; start list of questions; complete AWS Academy Registration; Obtain software |
2 | What is Cloud Computing? Hoff, Ch. 15-26, Explain the Cloud Like I’m 10. | Complete Question Wiki |
3 | What are the building blocks of cloud computing? Review of 346 relevant to Cloud Computing - Hardware, Software, Links, Networks, Security | Packet Tracer Model |
4 | Overview Comer Ch 1-3 (The Motivations for Cloud, Elastic Computing and Its Advantages, Types of Clouds and Cloud Providers) | VMware Labs |
5 | Comer Ch 4-8 (Data Structure Infrastructure and Equipment, Virtual Machines, Containers, Virtual Networks, Virtual Storage) | VMWare Labs |
6 | AWS Module 1 - 3 (Cloud Concepts Overview, Cloud Economics and Billing, AWS Global Infrastructure Overview) | AWS Academy Labs |
7 | AWS Module 4-7 (AWS Cloud Security, Networking and Content Delivery, Compute, Storage) | AWS Academy Labs |
8 | AWS Module 8-10 (Databases, Cloud Architecture, AutoScaling and Monitoring) | AWS Academy Labs |
9 | Comer Ch 9-10 (Automation, Orchestration: Automated Replication and Parallelism) | AWS Academy Labs |
10 | Highlights from Comer Ch 11-18 (The Map Reduce Paradigm, Microservices, Controller-Based Management Software, Serverless Computing and Event Processing, DevOps, Edge Computing and IIoT, Cloud Security and Privacy, Controlling the Complexity of Cloud-Native Systems) | Big Pictures and Exploring Project Ideas |
11 | Contrasting Cloud Services - AWS, Google, Azure | competitive analysis |
12 | Template-Driven Final Project | highly scaffolded projects start |
13 | Final Project | project progress |
14 | Final Project | project progress |
15 | Final Project | project Presentations |