 IB, Mathematics
 231 (Registered)

13
Oct
$19.00
Applications and Interpretation: Course description
 Mathematics: applications and interpretation will develop mathematical thinking, often in the context of a practical problem and using technology to justify conjectures.
 This course recognizes the increasing role that mathematics and technology play in a diverse range of fields in a datarich world.
 It emphasizes the meaning of mathematics in context by focusing on topics that are often used as applications or in mathematical modeling. To give this understanding a firm base, this course also includes topics that are traditionally part of a preuniversity mathematics course such as calculus and statistics.
 The course makes extensive use of technology to allow students to explore and construct mathematical models.
 Applications and interpretation is a course aiming to address the needs of students who enjoy seeing mathematics used in realworld contexts and to solve realworld problems.
 Applications and interpretation at HL is a course aiming to address the needs of students with a strong mathematical background, who get pleasure and satisfaction when exploring challenging problems and who are comfortable to undertake this exploration using technology. The course gives great emphasis on modeling, statistics, and graph theory.
 Applications and interpretation at SL is a course aiming to address the needs of students who are weak in math and do not wish to undertake math after high school. The course gives a great emphasis on technology to solve practical problems.
Course Content

Number and Algebra 0/8

Lecture1.1Scientific notation

Lecture1.2Arithmetic sequences and series

Lecture1.3Geometric sequences and series

Lecture1.4Financial applications

Lecture1.5Exponents and logarithms

Lecture1.6Approximation

Lecture1.7Amortization and annuity

Lecture1.8Equations and equation systems


Functions 0/6

Lecture2.1Straight lines

Lecture2.2Functions

Lecture2.3Graphs of functions

Lecture2.4Key features of graphs

Lecture2.5Introduction to modelling

Lecture2.6Modelling skills


Geometry and Trigonometry 0/6

Lecture3.1Threedimensional space

Lecture3.2Triangle trigonometry

Lecture3.3Applications of trigonometry

Lecture3.4Circle

Lecture3.5Perpendicular bisector

Lecture3.6Voronoi diagrams


Probability and Statistics 0/11

Lecture4.1Collection of data and sampling

Lecture4.2Presentation of data

Lecture4.3Measures of central tendency and dispersion

Lecture4.4Linear correlation of bivariate data

Lecture4.5Probability and expected outcomes

Lecture4.6Probability calculations

Lecture4.7Discrete random variables

Lecture4.8The binomial distribution

Lecture4.9The normal distribution and curve

Lecture4.10Further linear regression

Lecture4.11Hypothesis testing


Calculus 0/8

Lecture5.1Introduction to differentiation

Lecture5.2Increasing and decreasing functions

Lecture5.3Derivatives of power functions

Lecture5.4The tangent

Lecture5.5Introduction to integration

Lecture5.6Stationary points

Lecture5.7Optimization

Lecture5.8Area of a region

Instructor
David is the professor of mathematics education at David School and a former Associate Professor of Physics at JNTU. He served as a teacher of mathematics and Physics in various international schools in Asia and Europe. His research focuses on social and cultural factors as well as educational policies and practices that facilitate mathematics engagement, learning, and performance, especially for underserved students. David School collaborates with teachers, schools, districts, and organizations to promote mathematics excellence and equity for young people.
0.0
0 rating
5 stars
0%
4 stars
0%
3 stars
0%
2 stars
0%
1 star
0%