Course Guide 26-27: Pathway – Computer Science with AI

This course continues the study of computer programming concepts with a focus on the creation of software applications employing procedural programming techniques.

• Course Number: 9007220
• Recommended Prerequisites: AP Computer Science Principles
• Course Length: Every Day, Fall Semester
• Credit: 1.0 (0.5 + 0.5)
• Credit Accrued at: 0.5 earned each 9 weeks
• Satisfies Graduation Requirement: Career Technical
• Internal Weighting: +0.5
• Grade Level: 10

The purpose of this course is to assist students in deepening understanding for application of AI and to explore methods and tools utilized to build AI models. The content includes but is not limited to foundational knowledge and skills related to methods and software used to develop AI applications using data sets. Instruction and learning activities are provided in a laboratory setting using hands-on experiences with the equipment, materials and technology appropriate to the course content and in accordance with current practices.

• Course Number: 9401020
• Recommended Prerequisites: Procedural Programming
• Course Length: Every Day, Spring Semester
• Credit: 0.5
• Credit Accrued at: 0.5 earned at end of spring semester
• Satisfies Graduation Requirement: Career Technical
• Internal Weighting: Non-weighted
• Grade Level: 10

• Course Number: 1210300
• Recommended Prerequisites/Corequisite: Algebra 2 or higher
• Course Length: Alternating Day, 2 Semesters
• Credit: 1.0 (0.5 + 0.5)
• Credit Accrued at: 0.5 earned each semester
• Satisfies Graduation Requirement: Math
• Internal Weighting: +0.5
• Grade Level: 11

• Course Number: 9401040
• Prerequisites: Applications of AI
• Course Length: Alternating Day, 2 Semesters
• Credit: 1.0
• Credit Accrued at: 0.5 earned each semester
• Meets Graduation Requirement: Career Technical
• Internal Weighting: Non-weighted
• Grade Level: 12

Not offered in 2026-2027

This course introduces students to the principles of Artificial Intelligence (AI). The course defines “Intelligent Behavior”, describes the relationship between AI and computer science, explains the history of AI and showcases applications of AI in the real world. Students will explore the role of data in AI applications and the algorithms which guide AI decision making. Students will learn about the role of perception in AI and how AI agents use information in decision making. Students will engage in hands-on activities related to use of AI in machine learning. This course also covers ethics in AI applications.

• Course Number: 9401010
• Recommended Prerequisites: None
• Course Length: Every Day, 2 Semesters
• Credit: 0.5
• Credit Accrued at: 0.5 earned at end of spring semester
• Satisfies Graduation Requirement: Elective
• Internal Weighting: Non-weighted
• Grade Level: