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Integrated Math 2

Second course in a three course sequence which focuses on quadratic expressions, equations, functions, geometry, statistics and probability. 
 
Essential Learning Outcomes (ELOs):
Key concepts addressed in this course are:
  • Representations of linear, quadratic, and exponential relationships using graphs, tables, equations, and
    contexts.
  • Symbolic manipulation of expressions in order to solve problems, such as factoring, distributing, multiplying
    polynomials, expanding exponential expressions, etc.
  • Analysis of the slope of a line multiple ways, including graphically, numerically, contextually (as a rate of
    change), and algebraically.
  • Solving equations and inequalities using a variety of strategies, including rewriting (such as factoring,
    distributing, or completing the square), undoing (such as extracting the square root or subtracting a term from
    both sides of an equation), and looking inside (such as determining the possible values of the argument of an
    absolute value expression).
  • Solving systems of two equations and inequalities with two variables using a variety of strategies, both
    graphically and algebraically.
  • Use of rigid transformations (reflection, rotation, translation) and symmetry to demonstrate congruence and
    develop triangle congruence theorems.
  • Using coordinates to prove geometric theorems.
  • Geometric constructions (with compass and straightedge).
  • Simple geometric proofs (investigate patterns to make conjectures, and formally prove them).
  • Representations of arithmetic and geometric sequences, including using tables, graphs, and explicit orrecursive formulas.
  • Use of exponential models to solve problems, and to compare to linear models.
  • Use of function notation.
  • Statistical analysis of two-variable data, including determining regression lines, correlation coefficients, andcreating residual plots.
  • The differences between association and causation, and interpretation of correlation in context.
  • Comparison of distributions of one-variable data.
 
Course Syllabus
  • Buck Davis                                         bdavis@njuhsd.com                                       530.273.4431
  • Michael Dow                                       mdow@njuhsd.com                                                530.273.4431

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Grade Levels: 9 - 12

2 Semesters - No repetition for Credit

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Prerequisites

None