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Course Planning by Program

2026-27

Essential Objectives

Course Syllabus


Revision Date: 17-Aug-26
 

Fall 2026 | CIS-2245-VO01 - Concepts of Computer Security


Online Class

Online courses take place 100% online via Canvas, without required in-person or Zoom meetings.

Location: Online
Credits: 3 (45 hours)
Day/Times: Meets online
Semester Dates: 09-08-2026 to 12-21-2026
Last day to add this section: 09-17-2026
Last day to drop without a grade: 09-21-2026 - Refund Policy
Last day to withdraw (W grade): 11-09-2026 - Refund Policy
This course has started, please contact the offering academic center about registration

Faculty

Tyler Whitney
View Faculty Credentials
View Faculty Statement
Hiring Coordinator for this course: Deb Grant

    Note
  1. Many degree programs have specific general education recommendations. In order to avoid taking unnecessary classes, please consult with additional resources like your program evaluation, your academic program catalog year page, and your academic advisor.
  2. Courses may only be used to meet one General Education Requirement.

Course Description

This course is an introduction to computer and information security and covers concepts found in the CompTIA Security+ certification including network infrastructure, access control, security threats and applications, encryption, and monitoring. Recommended prior or concurrent learning: Networking Foundations and Operating Systems.


Essential Objectives

1. Explain the roles that authentication, authorization, and access control play in a secure computing environment and the associated technologies.
2. Explain evolving categories of cybersecurity threats targeting systems and users, and describe their potential impact on confidentiality, integrity, and availability.
3. Describe the potential impact and remediation of threats to infrastructure and services.
4. Describe the technologies involved in secure encrypted communication.
5. Propose solutions to threats and vulnerabilities such as hardening network devices, hosts, services, and applications.
6. Demonstrate the use of common tools for monitoring a system as well as network and vulnerability testing.
7. Describe security issues related to wireless and mobile networking and methods for increasing security.
8. Identify basic infrastructure steps for data security and protection including data backup, disk redundancy, power backup, and environmental controls.
9. Discuss organizational security including social engineering, physical security, auditing, disaster recovery, incidence response, and policies.
10. Describe how to secure a cloud-based or hybrid computing environment.


Required Technology

More information on general computer and internet recommendations is available on the CCV computer recommendations Support page.

Please see CCV's Digital Equity Statement (pg. 45) to learn more about CCV's commitment to supporting all students access the technology they need to successfully finish their courses.


Required Textbooks and Resources


*** This is a no cost textbook or resource class. ***

This course only uses free Open Educational Resources (OER) and/or library materials. For details, see the Canvas Site for this class.


Artificial Intelligence(AI) Policy Statement

CCV recognizes that artificial intelligence (AI) and generative AI tools are widely available and becoming embedded in many online writing and creative applications.

Integrated: This course's generative AI policy acknowledges the use of AI is an essential skill in today's world. By using genAI for specific purposes, students become equipped with relevant skills and tools necessary to thrive in a technology-driven society. Emphasizing the mastery of generative AI should empower you to harness its potential, enhancing your problem-solving abilities and preparing you for future challenges and opportunities. Be aware, however, that any time generative AI is used at any point in the assignment without attribution it may be considered a violation of CCV's Academic Integrity Policy.

Artificial intelligence (AI) tools are allowed in this course as learning aids, similar to tutoring, documentation, or office hours. You may use AI to help search for sources, explore unfamiliar topics, clarify concepts, debug code you wrote, or improve the clarity and mechanics of your own writing. Used this way, AI can support your learning without replacing it.

However, AI may not be used to do the core thinking for you. You may not submit AI-generated answers, essays, code, or solutions as your own, nor use AI to complete assignments in place of your own reasoning. If the AI is doing the thinking for you, that use is not permitted. When AI contributes meaningfully to your work, you are expected to disclose that use. When in doubt about whether a particular use is appropriate, ask before submitting.

Some assignments in this course may explicitly prohibit, limit, or require the use of AI tools. Always follow the instructions provided for each assignment, even when they differ from the general course policy. When AI tools are used in a way that meaningfully supports your work, you must acknowledge that use. Disclosure is not a penalty. It is part of academic honesty and professional practice.

Appropriate examples of AI use:

  • Using AI to suggest search terms or help locate scholarly sources
  • Asking AI to check your work or explain a concept after attempting the problem yourself
  • Debugging or reviewing code that you wrote
  • Checking grammar or improving clarity of your own writing

Inappropriate examples of AI use:

  • Submitting AI-generated essays, discussion posts, or lab answers
  • Using AI to solve problems or design solutions without understanding them
  • Paraphrasing AI output and presenting it as your own work
  • Relying on AI-generated code or explanations you cannot explain

Example AI disclosure and ctiation:

AI tools used: Google Gemeni
Purpose: Helped identify sources and clarify concepts related to cloud scalability.

Google. (2025). Gemini (large language model) [Artificial intelligence software]. https://gemini.google.com



Methods

This asynchronous online course uses short topic-overview videos, module study guides, guided readings, demonstrations, discussions, scenario-based analysis, hands-on uCertify and TryHackMe labs, reading checks, applied concept assignments, a three-part final project, and midterm and final examinations. Activities ask students to connect security principles with realistic organizational decisions and explain the reasoning behind their recommendations. Students receive instructor feedback, rubric-guided expectations, and multiple formats for engaging with key concepts.


Evaluation Criteria

This course uses weighted categories to calculate final grades.

Assignments: 20%
Labs: 20%
Project: 10%
Exams: 20%
Discussions: 10%
Quizzes (Reading Checks): 20%
Total: 100%

Final grades are calculated in Canvas using the weighted categories above. Individual point values communicate the relative scope of work within each category; the category weights determine the final grade.


Grading Criteria

CCV Letter Grades as outlined in the Evaluation System Policy are assigned according to the following chart:

 HighLow
A+10098
A Less than 9893
A-Less than 9390
B+Less than 9088
B Less than 8883
B-Less than 8380
C+Less than 8078
C Less than 7873
C-Less than 7370
D+Less than 7068
D Less than 6863
D-Less than 6360
FLess than 60 
P10060
NPLess than 600


Weekly Schedule


Week/ModuleTopic  Readings  Assignments
 

1

Security Fundamentals

  

Canvas Module 1 overview, topic video, and study guide; uCertify Lesson 2, Summarizing Fundamental Security Concepts; optional O'Reilly Chapter 2.

  

Introductions and Security Incident discussions; uCertify Lesson 2 lab; Applied Concept Assignment: Security Fundamentals; Lesson 2 Reading Check.

 

2

Risk Management

  

Canvas Module 2 overview, topic video, and study guide; uCertify Lesson 24, Understanding Elements of the Risk Management Process; optional O'Reilly Chapter 24.

  

Risk Assessment and Prioritization discussion; uCertify Lesson 6 threat vectors and attack surfaces lab; Applied Concept Assignment: Risk Management; Lesson 24 Reading Check.

 

3

Cryptography

  

Canvas Module 3 overview, topic video, and study guide; uCertify Lesson 4, Understanding the Importance of Using Appropriate Cryptographic Solutions; optional O'Reilly Chapter 4.

  

uCertify Lesson 4 lab; Choosing Cryptographic Solutions discussion; Applied Concept Assignment: Cryptography; Lesson 4 Reading Check.

 

4

Network Connectivity and Enterprise Systems

  

Canvas Module 4 overview, topic video, and study guide; uCertify Lesson 11, Securing Enterprise Infrastructure; optional O'Reilly Chapter 11.

  

Configuring a VPN lab; Designing Secure Connectivity discussion; Applied Concept Assignment: Secure Network Connectivity; Lesson 11 Reading Check.

 

5

Network Security Technologies

  

Canvas Module 5 overview, topic video, and study guide; uCertify Lesson 18, Enhancing Enterprise Security; optional O'Reilly Chapter 18.

  

Configuring a Network Firewall lab; Building a Layered Defense discussion; Applied Concept Assignment: Layered Network Defense; Lesson 18 Reading Check.

 

6

Secure Network Architecture and Configuration

  

Canvas Module 6 overview, topic video, and study guide; uCertify Lesson 10, Architecture Models; optional O'Reilly Chapter 10.

  

TryHackMe Junior Security Analyst Intro lab; Choosing a Secure Architecture discussion; Applied Concept Assignment: Secure Network Architecture; Lesson 10 Reading Check.

 

7

Authentication and Identity

  

Canvas Module 7 overview, topic video, and study guide; uCertify Lesson 19, Identity and Access Management; optional O'Reilly Chapter 19.

  

TryHackMe Authentication Bypass lab; Designing an Authentication Strategy discussion; Applied Concept Assignment: Authentication and Identity; Lesson 19 Reading Check.

 

8

Access Control and Midterm

  

Canvas Module 8 overview, topic video, and study guide; uCertify Lesson 9, Enterprise Mitigation Techniques; optional O'Reilly Chapter 9.

  

TryHackMe Web Application Security lab; Applying Least Privilege discussion; Applied Concept Assignment: Access Control; Lesson 9 Reading Check; Midterm Exam.

 

9

Securing Hosts and Data

  

Canvas Module 9 overview, topic video, and study guide; uCertify Lesson 14, Securing Computing Resources; optional O'Reilly Chapter 14.

  

TryHackMe Windows Hardening lab; Hardening Hosts and Protecting Data discussion; Applied Concept Assignment: Hosts and Data; Lesson 14 Reading Check.

 

10

Securing Specialized Systems

  

Canvas Module 10 overview, topic video, and study guide; uCertify Lesson 15, Asset Management; optional O'Reilly Chapter 15.

  

Securing Specialized Systems discussion; Applied Concept Assignment: Specialized Systems; Lesson 15 Reading Check.

 

11

Application Security

  

Canvas Module 11 overview, topic video, and study guide; uCertify Lesson 7, Understanding Vulnerabilities; optional O'Reilly Chapter 7.

  

TryHackMe Walking an Application lab; Reducing Application Risk discussion; Applied Concept Assignment: Application Security; Lesson 7 Reading Check.

 

12

Cloud Security

  

Canvas Module 12 overview; review uCertify Lesson 10, Security Architecture Models; optional O'Reilly Chapter 10.

  

Final Project Part 1: Security Assessment; Applying Shared Responsibility discussion; Applied Concept Assignment: Cloud Security.

 

13

Organizational Security

  

Canvas Module 13 overview, topic video, and study guide; uCertify Lesson 23, Security Governance; optional O'Reilly Chapter 23.

  

uCertify Lesson 23 lab; Turning Policy into Practice discussion; Applied Concept Assignment: Organizational Security; Lesson 23 Reading Check.

 

14

Disaster Planning and Recovery

  

Canvas Module 14 overview, topic video, and study guide; uCertify Lesson 13, Resilience and Recovery; optional O'Reilly Chapter 13.

  

Final Project Part 2: Layered Security Plan; uCertify Lesson 13 lab; Planning for Resilient Recovery discussion; Applied Concept Assignment: Resilience and Recovery; Lesson 13 Reading Check.

 

15

Final Security Proposal and Final Exam

  

Final Exam Case Study and course review materials in Canvas.

  

Final Project Part 3: Final Security Improvement Proposal; Final Exam, including the case study component.

 

Attendance Policy

Regular attendance and participation in classes are essential for success in and are completion requirements for courses at CCV. A student's failure to meet attendance requirements as specified in course descriptions will normally result in a non-satisfactory grade.

  • In general, missing more than 20% of a course due to absences, lateness or early departures may jeopardize a student's ability to earn a satisfactory final grade.
  • Attending an on-ground or synchronous course means a student appeared in the live classroom for at least a meaningful portion of a given class meeting. Attending an online course means a student posted a discussion forum response, completed a quiz or attempted some other academically required activity. Simply viewing a course item or module does not count as attendance.
  • Meeting the minimum attendance requirement for a course does not mean a student has satisfied the academic requirements for participation, which require students to go above and beyond simply attending a portion of the class. Faculty members will individually determine what constitutes participation in each course they teach and explain in their course descriptions how participation factors into a student's final grade.


Participation Expectations

This is a fully online, asynchronous course. Each week, students must complete at least one academically required activity, such as submitting an assignment, lab, reading check, project milestone, or exam, or posting a substantive discussion response. Merely viewing Canvas pages does not count as attendance. Full participation includes reviewing the module overview, video, study guide, and assigned reading; completing required work by the published deadlines; contributing thoughtful original discussion responses and peer replies when assigned; using course concepts and appropriate evidence; interacting respectfully; asking questions; and responding to instructor feedback. Discussions account for 10% of the final grade, and participation is also demonstrated through the quality and timeliness of required course work.



Missing & Late Work Policy

Most assignments, labs, and reading checks may be submitted up to seven calendar days after the published deadline. A 10% late deduction may apply unless an extension was arranged before the due date or an extenuating circumstance affects the student's ability to complete the work. Discussions depend on timely interaction with classmates and generally cannot earn full credit after the module closes; late posts or replies may receive reduced credit when they no longer contribute to the active conversation. Exams and final project milestones must be completed by their published deadlines unless arrangements are made with the instructor. Students are responsible for checking Canvas and should communicate as early as possible when circumstances interfere with course work.


Accessibility Services for Students with Disabilities:


CCV strives to mitigate barriers to course access for students with documented disabilities. To request accommodations, please
  1. Provide disability documentation to the Accessibility Coordinator at your academic center. https://ccv.edu/student-support/accessibility-services/
  2. Request an appointment to meet with accessibility coordinator to discuss your request and create an accommodation plan.
  3. Once created, students will share the accommodation plan with faculty. Please note, faculty cannot make disability accommodations outside of this process.


Academic Integrity


CCV has a commitment to honesty and excellence in academic work and expects the same from all students. Academic dishonesty, or cheating, can occur whenever you present -as your own work- something that you did not do. You can also be guilty of cheating if you help someone else cheat. Being unaware of what constitutes academic dishonesty (such as knowing what plagiarism is) does not absolve a student of the responsibility to be honest in his/her academic work. Academic dishonesty is taken very seriously and may lead to dismissal from the College.

Apply Now for this semester.

Register for this semester: March 30 - December 21, 2026