Discrete Mathematics and Linear Algebra

This course introduces two interconnected areas of modern mathematics and the shared ways of thinking that link them. Students explore discrete topics such as counting, probability, patterns, and finite systems while also learning how these ideas can be represented and analyzed using vectors, matrices, and systems of equations. Special emphasis is placed on common tools across both disciplines, including mathematical modeling, logical reasoning, matrix representations of data and networks, and optimization.

Throughout the course, students apply these connected ideas to problems in computer science, economics, and data analysis, seeing how discrete structures and linear algebra work together to describe patterns, make predictions, and solve real-world problems.
Students can opt to take this course at the Honors level.
Prerequisites: Integrated Math 2 or Algebra 1

• Interests: Business, Law, Math, Politics, Sports
• Grades: 11th, 12th
• Subjects: Mathematics