Innovative approach to teach and learn mathematics using programming.

“What I hear, I forget. What I see, I remember. What I do, I understand.”

NM pioneers this new breakthrough in math teaching: we teach children to code up the math concepts and apply them to solve engineering problems. After graduation from our courses, kids will be able build applications like the following: use Artificial Intelligence to recognize hand written characters.

# Personalized Teaching

- 1-on-1 bespoke lessons customized for each child
- Small classes for participation and discussions
- Group classes to share the fun of learning
- VIP classes for gifted students

# Student Centered Learning

- Fun and structured curriculums
- Advanced technologies to assist learning
- Hands-on problem-solving experience
- Highly qualified teachers from academia and industries

# Fun Challenges for Kids

- International Young Engineers Competition
- Ladder and ranking
- Build apps for Android and iOS
- Internship experience and recommendation, pre-university

NM Education takes a different approach in teaching mathematics and computer programming to children. We do not ask students to mechanically repeat exercises. They may be able to finish homework but they may not have the insights into the math concepts and understand why things are the way they are. Neither do we teach syntax and constructs of a computer programming language and ask students to write useless toy code.

Our unique teaching methodology emphasizes learning-by-doing. For instance, the best way to understand homeomorphic function is to create your own and try to find its inverse. The best way to learn computer function is to code and run one. Therefore, the best way to learn mathematics and computer programming is to actually code a math function and programmatically find its inverse, hence math-programming! Once the kids are able to do the coding of the math, they will have a deep understanding of both the math and the programming.

NM Education has been developing a proprietary series of fun and challenging study materials that encourages students to think in terms of math models and computer algorithms in their daily life. The pinnacle of this course is when students will develop an app to apply Artificial Intelligence and math to solve an engineering problem.

Textbooks

#### Prof. Haksun Li

Haksun holds a bachelor's degree in mathematics and a master's degree in financial mathematics from the University of Chicago, as well as a master's and a doctoral degree in computer science and engineering (with specialization in A.I.) from the University of Michigan, Ann Arbor.

Haksun worked as a quantitative analyst and a quantitative trader at UBS and BNP Paribas. Haksun, as an adjunct professor, has taught mathematics at many world-renowned universities including the National University of Singapore, Nanyang Technological University, Hong Kong University of Science and Technology, and Fudan University. His last academic appointment is as an associate dean and professor of the Big Data Finance and Investment Institute of Fudan University.