ACIC 2021
Description of Course
This project based learning class will introduce you to fundamental concepts, tools and resources for effectively managing common tasks associated with analyzing large datasets.
Course Prerequisites or Co-requisites
None, but some exposure and experience with programming and linux command line tools are recommended.
Instructor and Contact Information
Eric Lyons, BSRL 200B, ericlyons@email.arizona.edu
Nirav Merchant, BSRL 200A, nirav@email.arizona.edu
Office Hours: Available on request.
Course Format and Teaching Methods
This course uses a mixture of lecture and hands-on experiences
The course wiki is used for all assignments, material, posting homework, documenting projects, asking questions, and getting answers.
Course Objectives
The objective of the course is for students to work as a team to solve real-world computing problems for scientific analyses. Students will learn how to use many technologies and computational resources including:
High performance computing
Cloud computing
Distributed computing
Containerization technologies
Machine learning workloads
Code versioning
Documentation
Interdisciplinary collaboration and communication
Expected Learning Outcomes :
Project planning and documentation
Adherence to best practices for scientific computing
Ability to use cloud, distributed, and high performance computers
Ability to use virtualization technologies
Ability to apply machine learning methods to scientific problems
Ability to work in a collaborative, inclusive, team environment where everyone is expected to contribute to project deliverables
🎽 Team
Type /userprofile or @ mention people to add your team.
ℹ️ Overview
Introduce your team and describe your team goals and objectives.
📣 Team news
Display a stream of blog posts and share updates with your team by typing /blog. To create a blog post, click Create and then select the Blog post template.
?? Recently updated
You'll see the 5 most recently updated pages that you and your team create.