Course Syllabus

Spring 2025 | CIS-1270-VO01 - Introduction to Artificial Intelligence (AI)

Online Class

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

Faculty

Gary Savard
View Faculty Credentials

Hiring Coordinator for this course: Deb Grant

General Education Requirements

VSCS Digital and Technical 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 introduces basic concepts and applications of artificial intelligence (AI), including AI project cycles and tools. Students explore and identify issues surrounding AI including ethics, bias, culture, regulations, and professional expectations, as well as the growing impact of AI on different fields and industries. Prior learning in computer science is not required.

Essential Objectives

1. Identify AI and differentiate between automation and AI.
2. Discuss and explain the history, origins, and development of AI including current trends and applications in various industry sectors and career fields.
3. Demonstrate an understanding of how different AI applications and datasets are used in various settings.
4. Identify the different stages of an AI project required to follow industry standards and examine the different roles each member of a typical data science team plays in a project.
5. Examine the cultural and social impacts, ethical concerns, and issues of bias and regulation around AI practices now and in the future.
6. Describe basic concepts and models encountered in machine learning and deep learning.
7. Classify different kinds of data, evaluate the quality of data, and examine different methods of data mining and storage.
8. Examine common no-code tools available for AI project building and develop a use case using no-code tools in each domain of AI.
9. Discuss the future of AI based on emerging technological trends.

Required Technology

More information on general computer and internet recommendations is available on the CCV IT Support page. https://support.ccv.edu/general/computer-recommendations/

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

Textbook Information will be posted here on December 6.

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

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.

Accessibility Services for Students with Disabilities:

1. Provide disability documentation to the Accessibility Coordinator at your academic center. https://ccv.edu/discover-resources/students-with-disabilities/
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