BHS Course Catalog
Building Trades, Engineering & Computer ScienceBuilding Trades Engineering – Project Lead the Way Computer Science |
Building Trades I (2 terms, 1 credit)
Prerequisite: None
Level: Fr, Soph, Jr, Sr Elective
Fee: $50.00
In this course, students will explore and gain hands-on experience in the construction trades. Students will focus on: drawing and reading blueprints & diagrams for basic construction, framing sections of walls, floors, and rafters, along with a basic introduction to electrical wiring. The goal of the course is to offer students an introduction to the numerous career opportunities and skills required in the various construction trades. The course will culminate in the construction of a small-scale structure in teams. (17001A001)
Building Trades II (2 terms, 1 credit)
Prerequisite: None
Level: Fr, Soph, Jr, Sr Elective
Fee: $50.00
This course is designed to extend upon the skills and experiences students had in Building Trades I. Students will work to construct a small-scale building while focusing on the following skills: drawing and reading blueprints & diagrams, framing, roofing, window and siding installation, electrical work, plumbing systems, insulation and drywall installation, painting, flooring, trim work, and finishing. The goal of the course is to offer students an introduction to the numerous career opportunities and skills required in the various construction trades. (17002A001)
Building Trades: Independent Study (2 terms, 1 credit)
Prerequisite: Building Trades I, Building Trades II
Level: Jr, Sr Elective
Fee: $50.00
Independent Study is an in-school experience that allows students to gain further experience in the trades. Students taking an independent study would serve as either a foremen/team-leader for the Building Trades II class as they build their projects or they would take on “clients” for projects (BPS sheds, Retail Chalet’s for the city, other resident clients). Important factors in approving a student for independent study are his/her self-directedness, dependability, conscientiousness, and sincerity in pursuing learning. As an advanced class, the students are expected to conduct themselves in a manner appropriate to their placement. Students must have instructor approval to enroll in the class.
Introduction to Engineering Design Honors (2 terms, 1 credit)
Prerequisite: None
Level: Fr, Soph, Jr, and Sr elective
Fee: $10.00
The major focus of the IED course is to expose students to the design process, research and analysis, teamwork, communication methods, global and human impacts, engineering standards, and technical documentation. Students use 3D solid modeling design software to help them design solutions to solve proposed problems and learn how to document their work and communicate solutions to peers and members of the professional community. (CTE – 21006A001)
Principles of Engineering (Honors) (2 terms, 1 credit)
Prerequisite: Introduction to Engineering
Level: Soph, Jr, Sr
Fee: $15.00
Designed for 10th-12th grade students, this survey course exposes students to major concepts they will encounter in a postsecondary engineering course of study. Topics include mechanisms, energy, statics, materials, and kinematics. They develop problem-solving skills and apply their knowledge of research and design solutions to various challenges, document their work, and communicate solutions. (CTE – 21004A001)
Civil Engineering & Architecture (Honors) (2 terms, 1 credit)
Prerequisite: Introduction to Engineering Design or Principles of Engineering
Level: Jr and Sr elective
Fee: $10.00
Students learn about various aspects of civil engineering and architecture and apply their knowledge to the design and development of residential and commercial properties and structures. In addition, students use 3D design software to design and document solutions for major course projects. Students communicate and present solutions to their peers and members of a professional community of engineers and architects. (CTE – 21012A001)
Introduction to Computer Science (2 terms, 1 credit)
Prerequisite: Successful completion of Algebra
Level: Fr, Soph, Jr, and Sr elective
Fee: None
Designed to be the first computer science course for students who have never programmed before, this is an optional starting point for the Project Lead the Way (PLTW) Computer Science Principles course. Students will learn programming fundamentals using multiple programming languages such as Scratch, App Inventor, and Python. Students who have already taken Computer Science Principles are recommended to take this course if they enjoy computer science and want to learn more. (CTE – 10152A001)
Computer Science Principles — Project Lead the Way (2 terms, 1 credit)
Prerequisite: Successful completion of Algebra
Note: This course can be a student’s first course in computer science, although we encourage students without prior computing experience to take Introduction to Computer Science.
Level: Fr, Soph, Jr, and Sr elective
Fee: None
Computer Science Principles is intended to give students the opportunity to work in teams to develop computational thinking and solve problems. The course uses Python as a primary tool and does not intend to teach mastery of a single programming language, but instead a broad view of computer science concepts. Projects and problems include game design, app development, calculation algorithms, image filters, visualization of data, cybersecurity, and simulation. (CTE – 10152A001)
AP Computer Science A (2 terms, 1 credit)
Prerequisite: Successful completion of Intermediate Algebra and Computer Science Principles
Level: Fr, Soph, Jr, and Sr elective
Fee: None
AP Computer Science A introduces students to computer science with fundamental topics that include problem-solving, design strategies and methodologies, organization of data (data structures), approaches to processing data (algorithms), analysis of potential solutions, and the ethical and social implications of computing through the use of the Java programming language. The course emphasizes both object-oriented 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.
