%INCLUDE{CSC312ForSyllabus}% ---++ Details * Professor: Dr. Rachel Gramann * Office: Virtual * Lab Time: T 11:00-11:50 am * Class Location: Computer lab * Textbook: N/A ---++ Course Content ---+++ Policies * [[AcceptableWork][Integrity]] * [[LatePolicy ]] ---+++ There will be between 2 major sections for the course, each with a number of modules. The first will be be on Cloud Computing, the other on Data Analytics. Components of a section Modules 1-9: Cloud Computing Modules 10-14: Data Analytics ---+++ Graded work Components: * Google Quizzes - 9% * Labs - 25% * Module Completion - 10% * Quizzes - 10% * Discussions - 15% * Project - 20% * Exams - 10% * Admin Quizzes - 1% Scale: * 90-100% is an A * 80-89% is a B * 70-79% is an C * 60-69% is a D * Below 60 is Failing ---++++ Sections Module 1: Introduction to Google Cloud<br />Module 2: Core Infrastructure<br />Module 3: Application Foundation<br />Module 4: Service Orchestration<br />Module 5: Developing Applications with Cloud Functions<br />Module 6: Containerized Applications<br />Module 7: Developing Cloud Applications<br />Module 8: Gemini<br />Module 9: Introduction to Data Analytics with Google Cloud<br />Module 10: Data Lifecycle<br />Module 11: Cloud Data Analysts<br />Module 12: Data Management and Analytics<br />Module 13: Finding Data for Analytics<br />Module 14: Accessing Data in Google Cloud<br />Module 15: Final Exam ---+++ Tentative Schedule <br />See in Canvas %INCLUDE{CampusPolicies2024}%
This topic: CenterForComputing
>
WebHome
>
Syllabi
>
CSC312SylF2024
Topic revision: r5 - 2026-01-08 - CathyBareiss
Copyright © 2008-2026 by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding TWiki?
Send feedback