You have one option for a math course next year: Math 2 or Math 2 Construction (Construction is an elective). In addition, you could add AP Computer Science Principles, AP Computer Science, or Data Science if they meet your interests or are a requirement for your college/career pathway.
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Math 2 or Math 2 Constructionare the classes for you! |
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| Prerequisites: Successful completion of Math 1 or Department Chair approval is required.
About Math 2 or Math 2 Construction: Math or Math 2 Construction is the second course in high school math. In all integrated courses, students study content standards in the domains of Algebra, Functions, Geometry, Number and Quantities, and Statistics and continue to develop their proficiencies with the 8 Standards for Mathematical Practice. Foundations of Problem Solving 2: Students who are currently enrolled in Foundations of Problem Solving have the choice to enroll in Foundations of Problem Solving 2 for additional support with Math 2. (For Math 2 Construction, this will not be possible but support will be embedded into the course). More on Math 2 Construction: Specifically to Math 2 Construction This is a course designed to introduce students to the world of construction through classroom discussion, multimedia presentations, written assignments, field study, and lab activities. This course is team taught with your Math 2 teacher and will be worth two separate grades and credits. This course is a two period block because of its math and building applications. We will be building a portion of a new home for Habitat for Humanity. |
Additional Electives Available to You
| AP Computer Science Principles | AP Computer Science A |
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Data Science |
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Statistics is more about the calculations where Data Science is more about exploring real-world questions by looking at patterns in our data. In Data Science students will be challenged to represent data in different ways. Students will learn to be data explorers in project-based units, through which they will develop their understanding of data analysis, sampling, correlation/causation, bias and uncertainty, probability, modeling with data, making and evaluating data-based arguments, and the power of data in society. **If you are college bound, considering taking this as a second math course (elective), but not in place of any of the others listed. |
