The course emphasizes analytical thinking, problem-solving, and career readiness - preparing students for higher studies and diverse careers in mathematics, data science, teaching, and research.
Learning Methods
Students engage in problem-solving exercises, workshops, and projects to apply mathematical concepts to real-world situations.
- Structured classroom teaching
- Hands-on learning through workshops, programming projects, and math modeling
- Interactive problem-solving sessions
- Active participation in mathematical events, knowledge-sharing sessions, and research meets