Course Syllabus

Summer 2026 | CIS-2210-VO01 - Python Programming

Online Class

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

Faculty

Carol Roberts
View Faculty Credentials

Hiring Coordinator for this course: Deb Grant

General Education Requirements

Digital and Computing Literacy

Note

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.

Courses may only be used to meet one General Education Requirement.

Course Description

This course is an introduction to programming using Python. Students explore a wide variety of Python application domains including web and network programming, game development, scientific and numerical applications, textual analysis, system administration, and software development support. Topics include fundamental programming concepts, Python syntax, the standard libraries, and object-oriented programming. Emphasis is placed on solving problems in a variety of domains using well-written Python programs. Basic algebra skills are recommended.

Essential Objectives

1. Demonstrate the use of flowcharts and pseudo-code when designing Python programs.
2. Demonstrate the use of meaningful variables and comments in Python programs.
3. Design and implement a Python program.
4. Demonstrate an understanding of basic programming constructs such as variables, branch logic, variable scope, conditional statements, and loops.
5. Recognize and correct simple programming errors in Python.
6. Describe and discuss object-oriented features of Python including classes, encapsulation, composition, and inheritance.
7. Design, code, test, and debug programs in Python to solve problems in a variety of domains.
8. Develop Python programs that use common input and output functions.
9. Develop Python programs that use lists to store, process, and sort data.
10. Develop Python programs to create, access, and update data files.
11. Demonstrate the use of a graphical user interface such as Tkinter.
12. Demonstrate an understanding of the vast array of libraries available in Python.
13. Demonstrate an awareness of potential coding biases while developing comprehensive, equitable, and accessible programming solutions.   

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 uses one or more textbooks/books/simulations.

Summer 2026 textbook details will be available on 2025-12-01. On that date a link will be available below that will take you to eCampus, CCV's bookstore. The information provided there will be specific to this class. Please see this page for more information regarding the purchase of textbooks/books.

CIS-2210-VO01 Link to Textbooks for this course in eCampus.

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

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.

Prohibited: The use of generative AI is not allowed in this course, with the exception of spellcheck, grammar check and similar tools. This course rests in the value of students engaging in the learning process without relying on AI-generated content. Students will develop critical thinking and problem-solving skills independently, owning their learning journey from start to finish. If you use these tools, your actions would be considered academically dishonest and a violation of CCV's Academic Integrity Policy.

Computer programming is a skill that is learned only by individual practice and repetition. It is impossible to learn to program if someone or something does the code for you. For this reason, AI use to generate code is not permitted and is considered plagiarism. Be sure to read each assignment carefully and contact the instructor if you have any questions about the task.

Methods

Most modules include instructor-led videos, discussion, lab, and online quiz. Some modules instead include a larger programming project. Students should ask concept and programming questions via email or use online office hours to meet with the instructor over Zoom.

Evaluation Criteria

Discussions 10%

Labs 40%

Projects 20%

Quizzes 30%

Grading Criteria

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

	High	Low
A+	100	98
A	Less than 98	93
A-	Less than 93	90
B+	Less than 90	88
B	Less than 88	83
B-	Less than 83	80
C+	Less than 80	78
C	Less than 78	73
C-	Less than 73	70
D+	Less than 70	68
D	Less than 68	63
D-	Less than 63	60
F	Less than 60
P	100	60
NP	Less than 60	0

Weekly Schedule

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

Weekly participation is measured by submission of a graded component such as discussion, lab, project or quiz. Students with missing attendance will be contacted by the instructor and academic advisors. Lack of participation may impact grades if due dates are not honored. Knowledge builds week to week and it is crucial to master each week's content in a timely manner. Please contact the instructor promptly to discuss participation issues.

Missing & Late Work Policy

• Labs and projects can be submitted up to one week past the deadline with a 10 point penalty. The last week of the semester may have different late due date. After the late deadline, they will no longer be accepted for credit without instructor approval.
• Discussions are not accepted late. Interacting with classmates is an essential part of online discussions and cannot be made up after the fact.
• Quizzes not accepted late.

Accessibility Services for Students with Disabilities:

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

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