IB AI HL
Applications and Interpretation
Applications and Interpretation
IB Applications and Interpretations HL is a rigorous two-year integrated college-level course for prospective STEM major students, with emphasis on modeling, applied linear algebra, and statistics. This course is specifically recommended for STEM majors with a heavy focus on applied math skills: computer engineering, organic chemistry, applied physics, or any other engineering majors in the science field. Applications and Interpretations focuses more on applied mathematics. In HL, students are introduced to various topics in advanced statistics and probability, graph theory, applied linear algebra, and differential equations.
Unlike the standard US subject-specific curriculum, IBH Applications covers various topics in mathematics, such as Quadratics, Functions, Exponentials, Logarithms, Affine Transformations, Complex Numbers and Polynomials, Sequences and Series, Permutations and Combinatorics, Trigonometry, Vectors, Linear Algebra, Graph Theory, Differential and Integral Calculus, Advanced Calculus, Statistics and Probability, in a course of two years. At the end of the two-year course, students are expected to take the IBH Applications exam.
Students are also required to complete an Internal Assessment, which is a mathematical exploration. This is a report based on a topic of the student’s choice, focusing on the mathematics of that topic. The internal assessment comprises 20% of the final external IB marks. The exploration is approximately 6-12 pages long, and written at a level accessible to an audience of the student's peers. It is expected that this internal assessment will require a total of 10 hours of work. We will discuss possible topics in the first year. Students should decide on the final topic over the Summer of the first year, and the writing of the assessment will take place in the first half of the second year.
Every written assignment (HW and tests) must be done with a black or blue pen since every IB Math paper only permits writing with a black or blue pen. However, you may use a pencil for sketching a graph or graphing.
Grades 11 & 12
Most recommended for students coming from AP Calculus AB (with a score 4 or 5) or good Pre-Calculus grades in 10th grade
Teacher Recommendation
HIGHLY recommended, ONLY IF POSSIBLE (consult with Ms. Lee), to take AP Calculus AB concurrently in junior year, if coming from Pre-Calculus (Not necessary)
5% Participation
30% Homework
25% Journals / IA
40% Tests
Participation
Students are expected to be on time for every class, and be ready for the day's activities when class begins. Students are expected to come to class prepared with all required supplies each day.
Each day, students can earn a participation grade on a scale from 0-5 according to: being on time (1), coming prepared (1), engaging in class and staying on task (2), and demonstrating a positive respectful attitude (1).
Homework
Every homework given on a daily basis will be graded for completion on a scale from 0-5. All homework must be submitted in the submission box before the class starts. Completion is graded on effort, not accuracy, and is not necessarily a reflection of the type of grade a student should expect on assessments.
In order to receive full credit on completion, students must show all work and attempt all problems. Even though a student is not able to solve all problems, one must try the best, and keep all the work process for future review and feedback. This is one of the most important attitudes in mathematics.
Journals / IA
Throughout the two years, students will write math journals on a shared Google Drive. The journal assignments will be done cooperatively with the IB AA HL class, so that both AI and AA students will gain broader perspectives and knowledge in each other's math. Each journal assignment consists of one main post and two comments.
Each main post is graded out of 20 points: 10 points on completion, and 10 points on the quality. Merely paraphrasing the materials, or inserting screenshots/captures of mathematical expressions from the textbook or external source, is not a good quality journal. A good quality journal consists of creative research topics and thoughts, personal engagement, and reflection.
Two comments are graded out of 10 points total: 5 points for each comment. Just as in the main post, each comment will be graded on completion and quality. One may write more than two comments, but the maximum points earned will always be 10 points. If a student writes more than two comments, the two comments with the best quality will be accounted for in the grade.
Starting the second year, students will work on Internal Assessments, and any related assignments will go under this category.
Tests
Tests will be given after each chapter, or two/three depending on the contents and the pace. They will be announced in advance.
The emphasis on evaluation will be on the methods and procedures taught in that unit, and NOT on the correct answer. A student with an incorrect answer may earn more credit than a student with a correct answer depending on the work shown and justification given. IB and AP standards from math state: "Correct answers with no work shown will receive no credit."
At the end of each semester, there will be a cumulative semester exam. The Year 1 Semester 1 exam will assess all of the materials covered in the first semester. The Year 1 Semester 2 exam will assess all of the materials covered in the whole year. The Year 2 Semester 1 exam will assess all of the materials covered in the whole year 1 and semester 1 of year 2. Since one of the primary purposes of this class is to be prepared for IB exams at the end of the senior year, the semester exams will consist of problems similar to the actual IB exam problems. Year 2 Semester 2 exam will be replaced with a group video project.
*** All gradings follow AP/IB. If I cannot read or follow your work, I am NOT grading it ***
** We finish the Core book before the 1st semester ends **
Core Chapter 1: Straight Lines
Historical Note: Galileo and Parabolas
A - Lines in the Cartesian Plane
B - Graphing a Straight Line
C - Perpendicular Bisectors
D - Simultaneous Equations
Core Chapter 2: Sets and Venn Diagrams
A - Sets
B - Intersection and Union
C - Complement of a Set
Investigation 1: Fluid Filling Functions
D - Special Number Sets
Theory of Knowledge: Rational and Irrational Numbers
E - Interval Notation
F - Venn Diagrams
G - Venn Diagram Regions
H - Problem Solving with Venn Diagrams
Core Chapter 3: Surds and Exponents
A - Surds and Other Radicals
B - Division by Surds
C - Exponents
D - Laws of Exponents
E - Scientific Notation
Core Chapter 4: Equations
A - Power Equations
B - Equation in Factored Form
C - Quadratic Equations
Historical Note: The Quadratic Formula
D - Solving Polynomial Equations Using Technology
E - Solving Other Equations Using Technology
Core Chapter 5: Sequences and Series
A - Number Sequence
B - Arithmetic Sequences
C - Geometric Sequences
D - Growth and Decay
E - Financial Mathematics
F - Series
G - Arithmetic Series
Theory of Knowledge: Sum of Odd Integers
H - Finite Geometric Series
I - Infinite Geometric Series
Theory of Knowledge: Infinite Geometric Series
Core Chapter 6: Measurement
A - Circles, Arcs and Sectors
B - Surface Area
C - Volume
D - Capacity
Core Chapter 7: Right-Angled Triangle Trigonometry
A - Trigonometric Ratios
B - Inverse Trigonometric Ratios
C - Right Angles in Geometric Figures
D - Problem Solving with Trigonometry
E - True Bearings
F - The Angle Between a Line and a Plane
Core Chapter 8: The Unit Circle and Radian Measure
A - Radian Measure
B - Arc Length and Sector Area
Theory of Knowledge: Measurement Systems
C - The Unit Circle
D - Multiples of π/6 and π/4
E - The Pythagorean Identity
F - Finding Angles
G - The Equation of a Straight Line
Core Chapter 9: Non-Right-Angled Triangle Trigonometry
A - The Area of a Triangle
B - The Cosine Rule
C - The Sine Rule
D - Problem Solving with Trigonometry
Core Chapter 10: Points in Space
A - Points in Space
B - Measurement
C - Trigonometry
Core Chapter 11: Probability
A - Experimental Probability
B - Two-Way Tables
C - Sample Space and Events
D - Theoretical Probability
E - Making Predictions Using Probability
F - The Addition Law of Probability
G - Independent Events
H - Dependent Events
I - Conditional Probability
J - Formal Definition of Independence
K - Bayes’ Theorem
Theory of Knowledge: What is Probability?
Core Chapter 12: Sampling and Data
A - Errors in Sampling and Data Collection
B - Sampling Methods
Theory of Knowledge: Clinical Trials
C - Writing Surveys
D - Types of Data
E - Simple Discrete Data
F - Grouped Discrete Data
G - Continuous Data
Core Chapter 13: Statistics
A - measuring the Center of Data
B - Choosing the Appropriate Measure
C - Using Frequency Tables
D - Grouped Data
E - Measuring the Spread of Data
F - Box and Whiskers Diagrams
G - Outliers
H - Parallel Box and Whiskers Diagrams
I - Cumulative Frequency Graphs
J - Variance and Standard Deviation
Core Chapter 14: Quadratic Functions
A - Quadratic Functions
B - Graphs of Quadratic Functions
C - Using the Discriminant
D - Finding a Quadratic Form Its Graph
E - The Intersection of Graphs
F - Problem Solving with Quadratics
H - Quadratic Inequalities
Core Chapter 15: Functions
A - Relations and Functions
B - Function Notation
C - Domain and Range
D - Rational Functions
E - Composite Functions
F - Inverse Functions
G - Intersecting Lines
Theory of Knowledge: Language and Syntax
Core Chapter 16: Transformations of Functions
A - Translations
B - Stretches
C - Reflections
D - Miscellaneous Transformations
E - The Graph of y=1/f(x)
Core Chapter 17: Trigonometric Function
A - Periodic Behavior
B - The Sine and Cosine Functions
C - General Sine and Cosine Functions
D - Modelling Periodic Behavior
E - Fitting Trigonometric Models to Data
F - The Tangent Function
G - Trigonometric Equations
H - Using Trigonometric Models
HL Chapter 1: Exponentials
A - Rational Exponents
B - Algebraic Expansion and Factorization
C - Exponential Functions
D - Graphing Exponential Functions from a Table of Values
E - Graphs of Exponential Functions
F - Exponential Equations
G - Growth and Decay
H - The Natural Exponential
I - The Logistic Model
HL Chapter 2: Logarithms
A - Logarithms in Base 10
B - Laws of Logarithms
C - Natural Logarithms
D - Logarithmic Functions
E - Logarithmic Scales
HL Chapter 3: Approximations and Error
A - Errors in Measurement
B - Absolute and Percentage Error
HL Chapter 4: Loans and Annuities
A - Loans
B - Annuities
HL Chapter 5: Modelling
A - The Modelling Cycle
B - Linear Models
C - Piecewise Models
D - Systems of Equations
HL Chapter 6: Direct and Inverse Variation
A - Direct Variation
B - Powers in Direct Variation
C - Inverse Variation
D - Powers in Inverse Variation
E - Determining the Variation Model
F - Using Technology to Find Variation Models
HL Chapter 7: Bivariate Statistics
A - Association Between Numerical Variables
B - Pearson’s Product-Moment Correlation Coefficient
C - The Coefficient of Determination
D - Line of Best Fit By Eye
E - The Least Squares Regression Line
F - Statistical Reliability and Validity
G - Spearman’s Rank Correlation Coefficient
HL Chapter 8: Non-Linear Modelling
A - Logarithmic Models
B - Exponential Models
C - Power Models
D - Problem Solving
E - Non-Linear Regression
HL Chapter 9: Vectors
A - Vectors and Scalars
B - Geometric Operations with Vectors
C - Vectors in a Plane
D - The Magnitude of a Vector
E - Operations with Plane Vectors
F - Vectors in Space
G - Operations with Vectors in Space
H - The Vector Between Two Points
I - Parallelism
J - The Scalar Product of Two Vectors
K - The Angle Between Two Vectors
L - The Vector Product of Two Vectors
M - Vector Components
HL Chapter 10: Vector Applications
A - Lines in 2 and 3 Dimensions
B - The Angle Between Two Lines
C - Constant Velocity Problems
D - The Shortest Distance From a Point to a Line
E - Intersecting Lines
HL Chapter 11: Complex Numbers
A - Real Quadratics with ∆ < 0
B - Complex Numbers
C - Operations with Complex Numbers
D - Equality of Complex Numbers
E - The Complex Plane
F - Modulus and Argument
G - Geometry in the Complex Plane
H - Polar Form
I - Exponential Form
J - Frequency and Phase
HL Chapter 12: Matrices
A - Matrix Structure
B - Matrix Equality
C - Addition and Subtraction
D - Scalar Multiplication
E - Matrix Algebra
F - Matrix Multiplication
G - The Inverse of a Matrix
H - Simultaneous Linear Equations
HL Chapter 13: Eigenvalues and Eigenvectors
A - Eigenvalues and Eigenvectors
B - Matrix Diagonalization
C - Matrix Powers
D - Markov Chains
HL Chapter 14: Affine Transformations
A - Translations
B - Rotation About the Origin
C - Reflections
D - Stretches
E - Enlargements
F - Composite Transformations
G - Area
HL Chapter 15: Graph Theory
A - Graphs
B - Properties of Graphs
C - Routes on Graphs
D - Adjacency Matrices
E - Transition Matrices for Graphs
F - Trees
G - Minimum Spanning Trees
H - Eulerian Graphs
I - The Chinese Postman Problem
J - Hamiltonian Graphs
K - The Traveling Salesman Problem
HL Chapter 16: Voronoi Diagrams
A - Voronoi Diagrams
B - Constructing Voronoi Diagrams
C - Adding a Site to a Voronoi Diagram
D - Nearest Neighbor Interpolation
E - The Largest Empty Circle Problem
HL Chapter 17: Introduction to Differential Calculus
A - Rates of Change
B - Instantaneous Rates of Change
C - Limits
D - The Gradient of a Tangent
E - The Derivative Function
F - Differentiation from First Principles
HL Chapter 18: Rules of Differentiation
A - Simple Rules of Differentiation
B - The Chain Rule
C - The Product Rule
D - The Quotient Rule
E - Derivatives of Exponential Functions
F - Derivatives of Logarithmic Functions
H - Derivatives of Trigonometric Functions
I - Second Derivatives
HL Chapter 19: Properties of Curves
A - Tangents
B - Normals
C - Increasing and Decreasing
D - Stationary Points
E - Shape
F - Inflection Points
HL Chapter 20: Applications of Differentiation
A - Rates of Change
B - Optimization
C - Modelling with Calculus
D - Related Rates
Theory of Knowledge: Intrinsic vs. Natural
HL Chapter 21: Introduction to Integration
A - Approximating the Area Under a Curve
B - The Riemann Integral
C - Antidifferentiation
D - The Fundamental Theorem of Calculus
HL Chapter 22: Techniques for Integration
A - Discovering Integrals
B - Rules for Integration
C - Particular Values
D - Integrating
E - Integration by Substitution
HL Chapter 23: Definite Integrals
A - Definite Integrals
B - Definite Integrals Involving Substitution
C - The Area Under a Curve
D - The Area Above a Curve
E - The Area Between a Curve and the y-axis
F - Solids of Revolution
G - Problem Solving by Integration
HL Chapter 24: Kinematics
A - Displacement
B - Velocity
C - Acceleration
D - Speed
E - Velocity and Acceleration in Terms of Displacement
F - Motion with Variable Velocity
G - Projectile Motion
HL Chapter 25: Differential Equations
A - Differential Equations
B - Solutions of Differential Equations
C - Differential Equations of the Form
D - Separable Differential Equations
E - Slope Fields
F - Euler’s Method for Numerical Integration
HL Chapter 26: Coupled Differential Equations
A - Phase Portraits
B - Coupled Linear Differential Equations
C - Second Order Differential Equations
D - Euler’s Method for Coupled Equations
HL Chapter 27: Discrete Random Variables
A - Random Variables
B - Discrete Probability Distributions
C - Expectations
D - Variance and Standard Deviation
E - Properties of aX + b
F - The Binomial Distribution
G - Using Technology to Find Binomial Probabilities
H - The Mean and Standard Deviation of a Binomial Distribution
I - The Poisson Distribution
HL Chapter 28: The Normal Distribution
A - Introduction to the Normal Distribution
B - Calculating Probabilities
C - The Standard Normal Distribution
D - Quantiles
HL Chapter 29: Estimation and Confidence Intervals
A - Linear Combinations of Random Variables
B - The Sum of Two Independent Poisson Random Variables
C - Linear Combinations of Normal Random Variables
D - The Central Limit Theorem
E - Confidence Intervals for a Population Mean with Known Variance
F - Confidence Intervals for a Population Mean with Unknown Variance
HL Chapter 30: Hypothesis Testing
A - Statistical Hypothesis
B - The Z-Test
C - Critical Values and Critical Regions
D - Student’s t-test
E - Paired t-test
F - The Two-Sample t-test for Comparing Population Means
G - Hypothesis Tests for the Mean of a Poisson Population
H - Hypothesis Tests for a Population Proportion
I - Hypothesis Tests for a Population Correlation Coefficient
J - Error Probabilities and Statistical Power
HL Chapter 31: χ^2-Hypothesis Tests
A - The χ^2 Goodness of Fit Test
B - Estimating Distribution Parameters in a Goodness of Fit Test
C - Critical Regions and Critical Values
D - χ^2 Test for Independence
Mock and Practice Exams until the IB Exam in May
50% maximum (2.5 points) can be earned for late submission within 24 hours. No late submission will be accepted after then.
If a student is absent with an excuse, he/she has as many days to make up work missed due to absences as the number of excused days of absence that occurred. Excused absence requires an email from the school office or the student's parents/guardians, or the Transit Form entry.
IB Math HL courses run at a very rapid pace. For the most of the time, there is no or almost no time in class to discuss the homework or test questions. Therefore, it is extremely important that the students communicate with Ms. Lee, whenever there are questions. It is the student's responsibility to reach out when they need help.
We will have a class Whatsapp group. Oftentimes, when you have a question on a problem, your classmates might have the same question as well. Or, sometimes your classmate can have a solution to your questions. So, we want to use the group chat effectively, for discussing questions amongst peers. Ms. Lee will be there to guide if you need a hint.
"I can proudly assure, that I am probably the fastest responder of any teacher at SJS! I will answer your questions any time, any day, even if it's 3 AM on Sunday, as long as I am awake. So please, PLEASE use me as much as possible! I am the best, free resource that you have!"