card header icon
Computer Science Pathway

The mission of Bear River High School Computer Science Pathway is one that encompasses computer science content and computation practice. Assignments and instruction are contextualized to be socially relevant and meaningful for diverse students. Since computing enables innovation in a variety of fields and has had both positive and negative impacts on human culture, BRHS Computer Science students will be able to identify ethical behavior and articulate all sides of ethical topics.
 
 
EXPLORING COMPUTER SCIENCE    UC/CSU “G
Grade Levels: 9-12
Repetitions for Credit: No
Prerequisites: Integrated Mathematics I or concurrent enrollment
Graduation Requirement: Elective

 
Exploring Computer Science teaches the creative, collaborative, interdisciplinary, and problem­-solving nature of computing with instructional materials that feature an inquiry­-based approach to learning and teaching. As part of this course, students will delve into real world computing problems that are culturally-­relevant, and address social and ethical issues while delivering foundational computer science knowledge to students. Students will engage in several in-­depth projects to demonstrate the real­-world applications of computing.
 
 
AP COMPUTER SCIENCE PRINCIPLES    UC/CSU “G”
Grade Levels: 11-12
Repetitions for Credit: No
Prerequisites: NoneGraduation Requirement: Elective
 
AP Computer Science Principles introduces students to the foundational concepts of computer science and challenges them to explore how computing and technology can impact the world. With a unique focus on creative problem solving and real­-world applications, AP Computer Science Principles prepares students for college and career.
 
 
AP COMPUTER SCIENCE A    UC/CSU “G”
Grade Levels: 10-12
Repetitions for Credit: No
Prerequisites: Concurrent Enrollment- Integrated Math III and recommended completion of AP Computer Science
Principles first
Graduation Requirement: Elective

This course introduces fundamental topics that include problem solving, design strategies and methodologies,
organization of date (data structures),approaches to processing data (algorithms), analysis of potential solutions, and the
ethical and social implications of computing. The course emphasizes both object-oriented and and imperative problem
solving and design. These techniques represent proven approaches for developing solutions that can scale up from small,
simple problems to large, complex problems.