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Essential Objectives

Web Schedule Fall 2021

CIS-1100-VO01F - Introduction to Computer Science

Flex Class

Flex courses are online courses with flexible assignment submission, allowing students to manage their completion pace during the semester. Flex courses remain open for enrollment throughout the first half of the semester. Flex course enrollment for Fall 2021 ends on October 29.

Synonym: 208143
Location: Online
Credits: 3 (45 hours)
Day/Times: Meets online
Semester Dates: 09-07-2021 to 12-14-2021
Last day to drop without a grade: 09-27-2021 - Refund Policy
Last day to withdraw (W grade): 11-08-2021 - Refund Policy
Faculty: Thomas Burl | View Faculty Credentials
Materials/Lab Fees: $76.00
Open Seats/Section Limit: 9/17 (as of 07-28-21 8:05 AM)
This section meets the following General Education Requirement(s):
Technological Literacy
  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 page, and your academic advisor.
  2. Courses may only be used to meet one General Education Requirement.

Course Description:

This course is designed to give a broad-based introduction to all aspects of computing. Students will focus on core aspects of the discipline including hardware, networking, the Internet, programming logic, ethics, and the history and future of industry. The goal of this course is to give students a working knowledge of the computer industry and provide a solid foundation of knowledge to begin technical training.

Essential Objectives:

1. Discuss computing history and driving forces of change in the computer industry.
2. Identify governing agencies for software engineering and the top level standards for the profession.
3. Describe the use of system software, application, and visualization software.
4. Explain and identify types of networks and the internet.
5. Define the role of databases in e-commerce, web, and cloud applications.
6. Discuss issues surrounding computer and data security.
7. Compare computer hardware architecture (Von Neumann vs. Harvard distinction) including RAM, CPU, storage, and busses.
8. Demonstrate application of algorithms, binary and hexadecimal notation and their use in computer systems.
9. Demonstrate the use of primitive data types, and how they are represented at the machine level including, but not limited to, Boolean logic, concepts, and circuits.
10. Explain the concepts of object-oriented design and programming logic including conditional logic, function and subroutine use, repetitive logic, variables, lists, and arrays.
11. Compose a basic program in a high level language (e.g., Python).
12. Demonstrate how technology can be used to support and enhance user accessibilty, equity, and inclusion.
13. Identify and investigate the scope and diversity of career opportunities in the field of information technology.


CIS-1100-VO01F Link to Textbooks for this course in eCampus.

The last day to use a Financial Aid advance to purchase textbooks is the 3rd Tuesday of the semester. See your financial aid counselor at your academic center if you have any questions.

Contact Faculty:

Email: Thomas Burl
Hiring Coordinator for this course: Theodore Pappadopoulos

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.
  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 Honesty: 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.

Course description details subject to change. Please refer to this document frequently.

To check on space availability, choose Search for Classes.

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