MIS 341 Master Syllabus

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MIS 341: Cloud Computing Requirements Master Syllabus


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Course Description

Explores the adoption, applications, benefits, deployment, economics, models, risks, services, strategy, and values of cloud computing from the business and managerial perspective. Surveys cloud technology, introduces the characteristics and service models of cloud computing, and examines the impact and value of cloud computing. Students will gain knowledge of the cloud computing principles and concepts needed to evaluate, adopt, deploy, and manage cloud environments. A third attempt will require academic advisor approval.  


Course Objectives

Upon completion of this course, students should be able to

  • Describe the impact and value of cloud computing on information systems management.
  • Explain the cloud service models and their applications.
  • Articulate the business and management cost of cloud adoption.
  • Evaluate and select the cloud services to support the business operations and needs.
  • Handle the billing, account management, and price models for the selected cloud applications.
  • Analyze the risks in the cloud environment.
  • Articulate the cloud security frameworks and standards.
  • Evaluate the cloud security mechanisms.

Mason Core Learning Outcomes

  • Students will understand the principles of information storage, exchange, security, and privacy.
  • Students will become critical consumers of digital information; they will be capable of selecting and evaluating appropriate, relevant, and trustworthy sources of information.
  • Students can use appropriate information technologies to organize and analyze information and use it to guide decision-making.
  • Students will be able to choose and apply appropriate algorithmic methods to solve a problem.

Management Information Systems (MIS) Learning Goals

Students majoring in MIS concentration will master the following by graduation:

  • Systems Design: Apply knowledge of information technology and business functions to assess, design, and improve business processes.
  • Information Management: Develop data organization, storage, and processing solutions to support organizational needs for information management.
  • Systems Analysis: Acquire an understanding of the systems development life cycle to effectively support business functions with system solutions.

BS Business Learning Goals

By the end of the BS Business program, students will master:

  • Ethical Reasoning: Students will utilize ethical principles when making business decisions.
  • Communication: Students will employ effective written and oral communication skills for professional business environments.
  • Critical Thinking: Students will analyze, evaluate, and generate solutions using core business disciplinary knowledge.
  • Global Perspective: Students will integrate global perspectives in making business decisions and recommendations.
  • Data Analytics Skills: Students will apply analytical tools including AI to make data-informed decisions and recommendations.
  • Concentration-Specific Knowledge & Skills: Students will utilize knowledge and skills appropriate for specialization in their concentrations.

Grading Policy 

The letter grades are assigned based on the total points earned, not the percentage of possible points. No curving or rounding will be applied. 

Assignment Value Grade Scale by Total Points
Homework (6)  18 points A+ 98.00 and above
Quiz (10)  30 points A 93.00 to 97.99
Exam (2)  40 points A- 90 to 92.99
Project (1)  12 points B+ 87.00 to 89.99
Total 100 points B 83.00 to 86.99 points
    B- 80.00 to 82.99 points 
    C+ 77.00 to 79.99 points 
    C 70.00 to 76.99 points 
    D 60.00 to 69.99 points 
    F Below 60

Course Topics

Week/Date Lesson
1 Lesson 0: Course Orientation & Requirements
Lesson 1: What is Virtualization?
2 Lesson 2: What is Cloud Computing?
3 Lesson 3: AWS S3 Basics
4 - 5 Lesson 4: Website Hosting in AWS
6 Lesson 5: AWS CloudFront & Distributed Clo
7 Exam #1 (Lesson 1 to 5)
8 Lesson 6: AWS EC2 Basics
9 Lesson 7: AWS RDS
10 Lesson 8: AWS Athena & Data Virtualization
11 Lesson 9: AWS AI Tools
12 Lesson 10: Cloud Security & Governance
13 Lesson 11: Selecting Cloud Providers
14 Exam #2 (Lesson 6 to 11)
15 Project

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