IB Mathematics: Applications and interpretation SL

IBDP Mathematics Applications and interpretation SL

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 data-rich 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 pre-university 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 real-world contexts and to solve real-world 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

Total learning: 39 lessons Time: 60 weeks
  • Number and Algebra  0/8

    • Lecture1.1
    • Lecture1.2
    • Lecture1.3
    • Lecture1.4
    • Lecture1.5
    • Lecture1.6
    • Lecture1.7
    • Lecture1.8
  • Functions  0/6

    • Lecture2.1
    • Lecture2.2
    • Lecture2.3
    • Lecture2.4
    • Lecture2.5
    • Lecture2.6
  • Geometry and Trigonometry  0/6

    • Lecture3.1
    • Lecture3.2
    • Lecture3.3
    • Lecture3.4
    • Lecture3.5
    • Lecture3.6
  • Probability and Statistics  0/11

    • Lecture4.1
    • Lecture4.2
    • Lecture4.3
    • Lecture4.4
    • Lecture4.5
    • Lecture4.6
    • Lecture4.7
    • Lecture4.8
    • Lecture4.9
    • Lecture4.10
    • Lecture4.11
  • Calculus  0/8

    • Lecture5.1
    • Lecture5.2
    • Lecture5.3
    • Lecture5.4
    • Lecture5.5
    • Lecture5.6
    • Lecture5.7
    • Lecture5.8


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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.


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