Curriculum Guideline

Cloud Infrastructure

Effective Date:
Course
Discontinued
No
Course Code
CSIS 4270
Descriptive
Cloud Infrastructure
Department
Computing Studies & Information Systems
Faculty
Commerce & Business Administration
Credits
3.00
Start Date
End Term
Not Specified
PLAR
No
Semester Length
15 weeks
Max Class Size
Lectures: 36/Lab: 12
Contact Hours

Lecture: 2 hours per week

Lab: 2 hours per week 

Method Of Instruction
Lecture
Lab
Methods Of Instruction

Lecture, seminars, demonstrations, and hands-on exercises in the lab

Course Description
This course is designed to introduce the concepts of Cloud Computing. The course will expose students to three different perspectives of Cloud Computing: the theoretical, the technical, and the commercial perspectives. A variety of real case studies and existing market cloud-based tools will be identified and studied to provide students with an overview of Cloud Computing applications. Student will also look into more in-depth considerations for planning, designing and migrating to Virtualized Data Centres (VDC) and Cloud environments.
Course Content
  1. Fundamentals of cloud computing
  2. Economic benefits of cloud computing
  3. Technical foundations of cloud computing
  4. Virtualized data centres
  5. Cloud delivery models e.g. public cloud, private cloud, or hybrid cloud
  6. Types of cloud services e.g. Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS)
  7. Cloud configuraton
  8. Cloud management and monitoring
  9. Cloud migration strategies
  10. Cloud security
Learning Outcomes

Upon completion of this course, the succsessful student will be able to:

  1. Describe cloud computing e.g. is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (networks, serers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction;
  2. Analyze the technical foundations of cloud computing;
  3. Analyze the economic benefits of cloud computing;
  4. Analyze the competitive advantages of cloud computing e.g. faster deployment/access to IT resources, fine-grain scalability;
  5. Configure a commercial cloud platform e.g. Microsoft Azure, Amazon Web Services(AWS), or Alibaba Cloud;
  6. Demonstrate how cloud computing changes traditional data centre;
  7. Evaluate strategies of how organizations can migrate to the cloud;
  8. Discuss the limitations and challenges of cloud computing;
  9. Discuss the best practices for cloud computing e.g. elastic architecture, design for failure, high availability, performance, security, monitoring and;
  10. Discuss data privacy laws and corporate policies.
Means of Assessment

Evaluation will take place in accordance with the Douglas College Evaluation Policy. 

Assignments/labs 15-30%
Quiz(zes)* 10-25%
Midterm Examination* 25-40%
Final Examination* 25-40%
Total 100%

* In order to pass the course, students must, in addition to receiving an overall course grade of 50%, also achieve a grade of at least 50% on the combined weighted examination components (including quizzes, tests, exams).

Students may conduct research as part of their coursework in this class. Instructors for the course are responsible for ensuring that student research projects comply with College policies on ethical conduct for research involving humans, which can require obtaining Informed Consent from participants and getting the approval of the Douglas College Research Ethics Board prior to conducting the research.

Textbook Materials

Deploying and Managing a Cloud Infrastructure by Addul Salam, Zafar Gilani and Salman Ul Haq

OR

other textbook approved by department

Prerequisites

Min grade C in CSIS 3155 or CSIS 3560

Corequisites

Nil

Which Prerequisite

Nil