CSC 312: Introduction to Cloud Computing: 3 hours

Description

Goals for CSC 312 are:

• To help students learn about IaaS, SaaS, and PaaS
• Equip students to do cloud computing

Course outcomes for CSC 312 are:

• Upon complete of CSC 312, students will:
  • be able to articulate the following about cloud computing
    • advantages
    • components
    • ethical issues
    • security issues
    • current advantages
  • be able to use cloud functions to
    • create/configure/use IaaS environments
    • use SaaS including webservers and databases
    • monitor cloud usage and functions
    • use advanced features (such as AI/Big Data) in the cloud
  • will be prepared to use the cloud in their future computing work.

Program outcomes for CSC 312 are:

1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. (Computing student learning outcome 1)
2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline. (Computing student learning outcome 2)
3. Communicate effectively in a variety of professional contexts. (Computing student learning outcome 3)
4. Recognize professional responsibilities and make informed judgments in computing practice based on legal, ethical, and moral principles. (Computing student learning outcome 4)
5. Learn new areas of technology. (Computing student learning outcome 6)
6. Understand and use appropriate cloud technologies in specified areas (Computing student learning outcome 8)
7. Apply computer science theory and software development fundamentals to produce computing-based solutions. (Computer Science student learning outcome 1)
8. Support the delivery, use, and management of information systems within an information systems environment. (Computing and Information Systems student learning outcome 1)
9. Apply security principles and practices to maintain operations in the presence of risks and threats. (Cyber Security student learning outcome 1)

Integration

1. Self learning by using existing online lessons to learn the details about a specific cloud provider and bring those lessons to the class
2. Note taking by using notes taken from online lessons to produce reports while disconnected from the lessons
3. Technical writing and presentations by creating reports and presenting work to the class
4. Professional by doing assigned learning tasks in a timely manner
5. Cybersecurity by studying different aspects of security in the cloud
6. Ethics by writing a report about the ethical components of associated with one or more aspects of cloud computing

Policies

• 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

• Google Quizzes - 9%
• Labs - 25%
• Module Completion - 10%
• Quizzes - 10%
• Discussions - 15%
• Project - 20%
• Exams - 10%
• Admin Quizzes - 1%

• 90-100% is an A
• 80-89% is a B
• 70-79% is an C
• 60-69% is a D
• Below 60 is Failing

Details

• Professor: Rachel Gramann
• Class Time: 11:00-12:20 T
• Class Location: S 025
• Textbook: Student membership in ACM. Resources from ACM Learning Center that will be used include:

Course Content

Policies

Assignments

Grades

Tentative Schedule

Campus Integrity Policy

1. A student found guilty of plagiarism or cheating will receive an “F”(zero) for that particular paper, assignment or exam. Should this occur, the professor will have an interview with the student and will submit a written report of the incident to the academic dean.
2. If a second offense should occur, the student will be asked to appear before the professor, the academic dean and the vice president for student development.
   
   

The student should realize that at this point continuation in a course and even his/her academic career may be in jeopardy. In the event of a recommendation for dismissal, the matter shall be referred to the Student Development Committee.”

AI Use Policy

It is expected that any coursework (including, but not limited to, essays, papers, exams, projects, and lab reports) submitted by a student will be a product of their own creation, demonstrating their achievement of the learning outcomes related to the assigned task. With this in mind, note that submitting work that includes unauthorized or undocumented use of Artificial Intelligence (AI) may be considered as cheating or plagiarism. If you are unsure about appropriate use of AI on a given assignment, talk with your professor.

Services

Education Majors:

Standards