Course

Cloud Infrastructure

Faculty
Commerce & Business Administration
Department
Computing Studies & Information Systems
Course code
CSIS 4270
Credits
3.00
Semester length
15 weeks
Max class size
35
Method(s) of instruction
Lecture
Seminar
Course designation
None
Industry designation
None
Typically offered
To be determined

Overview

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 configuration
  8. Cloud management and monitoring
  9. Cloud migration strategies
  10. Cloud security
Learning activities

Lecture, seminars, demonstrations, and hands-on exercises

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.

Learning outcomes

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

  1. Describe cloud computing: 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), Google Cloud Platform (GCP) 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.
Textbook materials

materials provided by the instructor

and/or

other textbook approved by department

Requisites

Prerequisites

Min grade C in CSIS 2260 and 2270

Corequisites

No corequisite courses.

Equivalencies

No equivalent courses.

Course Guidelines

Course Guidelines for previous years are viewable by selecting the version desired. If you took this course and do not see a listing for the starting semester / year of the course, consider the previous version as the applicable version.

(Current)

Course Transfers

These are for current course guidelines only. For a full list of archived courses please see https://www.bctransferguide.ca

Institution Transfer details for CSIS 4270
Athabasca University (AU) AU CMNS 3XX (3)
College of New Caledonia (CNC) CNC CSC 2XX (3)
Kwantlen Polytechnic University (KPU) No credit
Simon Fraser University (SFU) No credit
Thompson Rivers University (TRU) TRU COMP 4XXX (3)
University Canada West (UCW) UCW CPSC 4XX (3)
University of Northern BC (UNBC) UNBC CPSC 2XX (3)
University of the Fraser Valley (UFV) UFV CIS 395 (3)

Course Offerings

Winter 2025

CRN Days Instructor Status
Maximum seats
35
Currently enrolled
34
Remaining seats:
1
On waitlist
3
Building
New Westminster - North Bldg.
Room
N5111
Times:
Start Time
11:30
-
End Time
14:20
CRN Days Instructor Status
Maximum seats
35
Currently enrolled
21
Remaining seats:
14
On waitlist
0
Building
New Westminster - North Bldg.
Room
N6107
Times:
Start Time
9:30
-
End Time
12:20