BCIT Mathematics Department Summer Review
The math department suggests that students take time during their summer break to review some important topics in preparation for their next math class. Khan Academy designed courses called Get Ready for Grade Level to help students master the most important skills they'll need for the next grade level. The Khan Academy courses diagnose where students may have gaps and recommend video tutorials, interactive practice, assessments, and skill summaries with instant feedback to help students track their progress toward mastery. Please see the links below for the Khan Academy course that relates to your next grade level of math. If you have any questions please email Jessica Rista (firstname.lastname@example.org).
Have a safe and healthy summer break!
Summer Review for students beginning Algebra 1 (Grade 9) Fall 2022
Students will get ready for equations, inequalities, working with units, linear relationships, functions and sequences, exponents, radicals, irrational numbers, and quadratics.
Summer Review for students beginning Geometry in 2022-2023 (Grade 10)
Students will get ready for congruence, similarity, triangle trigonometry, analytic geometry, circles, and solid geometry.
Summer Review for students beginning Algebra 2 in 2022-2023 (Grade 11; Grade 9 for Honors track)
Students will get ready for polynomial operations and complex numbers, equations, tranformations, exponential and logarithmic relationships, trigonometry, and rational functions.
Summer Review for students beginning Precalculus in 2022-2023 (Grade 11 or 12)
Students will get ready for complex numbers, polynomials, composite and inverse functions, trigonometry, vectors, series, and conic sections.
Summer Review for students beginning Calculus in 2022-2023 (Grade 11 or 12)
Students will get ready for limits and continuity, differentiation, applying derivatives, integration, and applications if itnegration.
Summer Review for students beginning Probability & Statistics in 2022-2023 (Grade 12)
Students will explore categorical data, one-variable quantitative data, two-variable quantitative data, probability, random variables and probability distributions.
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