MAP603 - Introduction to Cloud Computing
| Semester | |
| School | |
| Last revision date | Jan 26, 2026 1:16:55 AM |
| Last review date | Mar 16, 2026 12:15:14 AM |
Subject Title
Introduction to Cloud Computing
Subject Description
Gain a solid understanding of cloud computing concepts including fundamental technologies, architecture, design and security.
Credit Status
1 Professional Option Credit for CNS/CTY Diploma Program
Learning Outcomes
Upon successful completion of this subject the student will be able to:
- Identify Cloud Computing key costs and caveats
- Describe several Cloud Computing Service Models
- Describe several Cloud Computing Deployment Models
- Identify key Virtualization technologies
- Architect high availability and resilient Multi-Tiered Cloud Solutions
- Describe the security concerns in Cloud Comptui9ng
- Identify and explain the AWS core Cloud technologies
- Identify and explain the AWS Cloud Services
- Explain the Disaster Recovery Solutions for Cloud computing to meet business objectives
Essential Employability Skills
• Communicate clearly, concisely and correctly in the written, spoken and visual form that fulfils the purpose and meets the needs of the audience.
• Respond to written, spoken, or visual messages in a manner that ensures effective communication.
• Execute mathematical operations accurately.
• Apply a systematic approach to solve problems.
• Use a variety of thinking skills to anticipate and solve problems.
• Locate, select, organize, and document information using appropriate technology and information systems.
• Analyze, evaluate, and apply relevant information from a variety of sources.
• Manage the use of time and other resources to complete projects.
• Take responsibility for one's own actions, decisions, and consequences.
Academic Integrity
Seneca upholds a learning community that values academic integrity, honesty, fairness, trust, respect, responsibility and courage. These values enhance Seneca's commitment to deliver high-quality education and teaching excellence, while supporting a positive learning environment. Ensure that you are aware of Seneca's Academic Integrity Policy which can be found at: http://www.senecapolytechnic.ca/about/policies/academic-integrity-policy.html Review section 2 of the policy for details regarding approaches to supporting integrity. Section 2.3 and Appendix B of the policy describe various sanctions that can be applied, if there is suspected academic misconduct (e.g., contract cheating, cheating, falsification, impersonation or plagiarism).
Please visit the Academic Integrity website http://open2.senecac.on.ca/sites/academic-integrity/for-students to understand and learn more about how to prepare and submit work so that it supports academic integrity, and to avoid academic misconduct.
Discrimination/Harassment
All students and employees have the right to study and work in an environment that is free from discrimination and/or harassment. Language or activities that defeat this objective violate the College Policy on Discrimination/Harassment and shall not be tolerated. Information and assistance are available from the Student Conduct Office at student.conduct@senecapolytechnic.ca.
Accommodation for Students with Disabilities
The College will provide reasonable accommodation to students with disabilities in order to promote academic success. If you require accommodation, contact the Counselling and Accessibility Services Office at ext. 22900 to initiate the process for documenting, assessing and implementing your individual accommodation needs.
Camera Use and Recordings - Synchronous (Live) Classes
Synchronous (live) classes may be delivered in person, in a Flexible Learning space, or online through a Seneca web conferencing platform such as MS Teams or Zoom. Flexible Learning spaces are equipped with cameras, microphones, monitors and speakers that capture and stream instructor and student interactions, providing an in-person experience for students choosing to study online.
Students joining a live class online may be required to have a working camera in order to participate, or for certain activities (e.g. group work, assessments), and high-speed broadband access (e.g. Cable, DSL) is highly recommended. In the event students encounter circumstances that impact their ability to join the platform with their camera on, they should reach out to the professor to discuss. Live classes may be recorded and made available to students to support access to course content and promote student learning and success.
By attending live classes, students are consenting to the collection and use of their personal information for the purposes of administering the class and associated coursework. To learn more about Seneca's privacy practices, visit Privacy Notice.
Prerequisite(s)
CIS701 and INT420
Topic Outline
Fundamentals of Cloud Computing
What is Cloud Computing?
Dynamic Resource Allocation and Resource Pooling
Cloud Enabling Technologies
Economy of Scale
Utility Computing
Taxonomy of Cloud Computing and Standards
Cloud Taxonomy, Cloud Reference Architecture, Cloud ontology, Cloud Standard Roadmap, SOA and Cloud
Eventual Consistency, high availability in storage and CAP theorem
Introduction to the AWS Cloud core services
Principles of Parallel and Distributed Computing
Parallel vs. Distributed Computing
Elements of Parallel Computing
Elements of Distributed Computing
Technologies of Distributed Computing
Cloud Computing Architecture
Cloud Computing Reference Model
Types of Clouds, Service Models, Deployment Models
Cloud Use cases
Virtualization
Server Virtualization
OS Virtualization
Containers and Dockers
High Availability and Fault Tolerance
What is Load Balancer and different types of load balancers
Session sticky
High Availability vs. Fault Tolerance
Building highly available infrastructure in AWS by using VPC, Availability zones, EIP, EC2 and ELB
Database as a Service in AWS
Introduction and implementation of AWS RDS
Cloud Automation
Introduction to YAML
Introduction to Git
Using Ansible for Configuration Management
Using Terraform for infrastructure Provisioning
Container Orchestration by Kubernetes
Introduction to Kubernetes
Kubernetes technology components
Building Kubernetes web Nginx infrastructure
Mode of Instruction
Hybrid Course
The First 3 classes will be held in a classroom. The remainder of lectures and labs will be presented using an interactive on-line delivery mode, reinforced by assigned readings and assignments between classes. The final exam will be located on the campus.
In Class Course
Classroom lectures and discussions are supplemented by lab sessions with the instructor, reinforced by assigned readings and assignments between classes.
It is the student's responsibility to save documents, articles and notes that the instructor has provided on BlackBoard or in class. Students will not be able to access BlackBoard as of the last day of the students class.
Student Progression and Promotion Policy
http://www.senecapolytechnic.ca/about/policies/student-progression-and-promotion-policy.html
Grading Policyhttp://www.senecapolytechnic.ca/about/policies/grading-policy.html
| A+ | 90% to 100% |
| A | 80% to 89% |
| B+ | 75% to 79% |
| B | 70% to 74% |
| C+ | 65% to 69% |
| C | 60% to 64% |
| D+ | 55% to 59% |
| D | 50% to 54% |
| F | 0% to 49% (Not a Pass) |
| OR | |
| EXC | Excellent |
| SAT | Satisfactory |
| UNSAT | Unsatisfactory |
For further information, see a copy of the Academic Policy, available online (http://www.senecapolytechnic.ca/about/policies/academics-and-student-services.html) or at Seneca's Registrar's Offices. (https://www.senecapolytechnic.ca/registrar.html).
Modes of Evaluation
Grading is based on the following marking scheme:
| 8 Lab Assignments @ 5% each | 40% |
| Midterm | 20% |
| Final Exam (Practical 20% + Written 20% | 40% |
| Total | 100% |