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Advanced Senior Topics

 

This course is for seniors who have completed AP Calculus BC. Each

student will complete a teacher-approved senior project. All students

will study the following topics: Linear Algebra, Multivariable Calculus,

and Discrete Mathematics. This course will give the student the ability

to select his/her college mathematics courses with more understanding

about content and applications. Students are required to bring a TI-83

or TI-84 graphing calculator. Students will also be introduced to the TI-Nspire

calculator system.

 

Enduring Understandings

 

Define vectors in 3 space

Perform vector operations

Find equations for lines and planes in 3 space

Describe and identify surfaces in space

Convert to cylindrical and spherical coordinates

Define a vector valued function

Differentiate and integrate vector valued functions

Find velocity and acceleration in 3 space

Find the arc length and curvature of a space curve

Find the tangent and normal vectors

Define a function of several variables

Find the Limit of a function of several variables

Find partial derivatives of multivariable function

Find the differential

Use multivariable chain rule

Find the directional derivative and the Gradient

Find tangent plane and normal line

Find extrema of multivariable function

Find iterated integral and area in the plane

Find double integral and volume

Convert to polar and perform calculus operations

Find surface area

Set up and find triple integral

Identify a matrix

Perform elimination on a matrix to solve a system

Define rules for matrix operations

Define a linear combination.

Find the inverse of a matrix to solve a system

Perform LU factorization

Describe the transpose and permutations of a matrix

Define a vector space

Define a vector subspace

Find the Null space

Find the complete solution

Define span

Define the rank of a matrix

Determine independence basis and dimension of a matrix

Determine orthogonality

Perform projections

Use determinate properties to solve a system

Find permutations and cofactors

Use Cramer's rule to solve a system

Find  Eigenvalues and Eigenvectors

Form logical statements

Determine truth values of logical statements

Recognize quantified statements

Develop a direct proof

Develop an indirect proof

Develop a proof by induction

Understand and apply sequence formulas and notation

Define Set Theory

Identify properties of sets

Use fundamental counting principals

Create possibility trees

Perform combinations and permutations

Find basic discrete probabilities

Find conditional probabilities

Use Bayes' Formula

Develop and use the Binomial Theorem

 

Essential Questions

 

How are multivariable and single variable calculus similar? Different?

What do vector operations produce?

How is a vector valued function different than a regular function?

What are tangent and normal vectors and how are they used?

How is arc length and curvature found and what is it used for in calculus?

What is a function in several variables?

How are partial derivatives used to find the total differential?

Why does the chain rule for multivariable calculus work?

What is the directional derivative and gradient explain?

What are the extrema for multivariable functions and how are they identified?

What is an iterated integral?

How does a double integral find volume?

How are polar and rectangular coordinates related in 3 space?

What is the structure of a triple integral and how are the limits of integration set up?

What is a matrix?

What is elimination and how is it used?

What is a linear combination?

What is LU decomposition and how is it used?

What is the inverse of a matrix and how is it used?

What is the transpose of a matrix?

What are the common permutations of a matrix?

What are the axioms that determine a vector space?

What are the axioms that determine a vector subspace?

What is the Null Space of a system?

What is the Rank of a matrix?

What is the Span of a matrix?

What is the complete solution to Ax = b ?

What is the determinant?

What are cofactors and how are they used?

What is Cramer's rule?

How is a matrix used to find volume?

What is an Eigenvalue?

What is an Eigenvector?

How is a matrix diagonalized?

What is logic?

What is a conditional statement?

What is a valid or invalid argument?

What is a quantifier?

What is a direct proof?

What is an indirect proof?

What is a sequence?

What is mathematical induction?

How is strong induction used?

How are set properties used to identify sets?

What is the fundamental counting principle?

How was the Binomial Theorem developed and how is it used?

How are basic discrete probabilities calculated?

 

Essential Vocabulary

 

Vector

Standard unit vector

Velocity

Acceleration

Space coordinates

Dot product

Cross product

Orthogonal

Projection

Triple scalar

Paraboloid

Cylindrical coordinates

Spherical coordinates

Space curve

Vector valued function

Derivative

Anti derivative

Tangent vector

Normal vector

Unit tangent vector

Tangential component

Normal component

Circular helix

Arc length

Curvature

Level curve

Contour map

Limit

Continuity

Partial derivative

Total differential

Chain rule

Directional derivative

Gradient

Tangent plane

Normal line

Extrema

Saddle point

Second partial

Iterated integral

Double integral

Polar coordinates

Surface area

Triple integral

Matrix

Linear combination

Elimination

Block matrix

Invertible

Singular

Nonsingular

Gauss-Jordan

Lower triangular

Upper triangular

Diagonal

Transpose

Permutation

Symmetric matrix

Vector space

Vector subspace

Null space

Rank

Span

Complete solution

Orthoganality

Determinant

Pivot

Cofactors

Cramer's rule

Eigenvalue

Eigenvector

Dependent

Independent

Logic

Conditional statement

Valid argument

Invalid argument

Modus Tollens

Modus Ponens

Quantified statement

Predicate

Direct proof

Indirect proof

Universal statement

Bi-conditional

Sufficient conditions

Necessary conditions

Counterexample

Existential statement

Contradiction

Sequence

Induction

Strong induction

Set

Subset

Sample space

Probability

Possibility tree

Disjoint sets

Repetition

Combination

Permutation

Expected value

Independent event

 

Units of Study

 

Vectors in space

vector valued functions

functions of several variables

multiple integration

Solving Linear systems

vector spaces and subspaces

determinants

eigenvalues and eigenvectors

Logic of compount statements

logic of quantified statements

elementary number theory

methods of proof

sequences and induction

set theory

counting and probability