Are you a college or advanced high school student interested in science, math, and computation? Learn about these topics in exciting and unconventional ways by enrolling in Illinois Tech’s Computational Science course for high school students. The course will integrate math and science with computation as a unifying concept.
Using real-world tools such as Mathematica, students will learn how to take an idea or question and find ways to formulate it for a computer. The course consists of hands-on activities and minimal lecturing. At the end of the program, students will acquire better computational thinking, a skill that is critical in an increasingly technological world.
Students who successfully complete the course will receive two credit hours of college credit for the course SCI 111. This course may be applied to the Illinois Tech curriculum as an elective.
Eligibility and Program Requirements
- Rising 10th–12th graders (ages 14-17). Completion of Algebra II is recommended.
- Upon registration, students must submit the following in order to confirm enrollment in the program:
- Program fee
- Parental consent form, which will be sent by email via DocuSign
Access to a laptop or desktop computer and stable internet access is required. The program will take place online using Blackboard Collaboration. Students will be asked to download the software Mathematica, which is included in your course fee.
Kiah Wah Ong, Senior Lecturer of Applied Mathematics
- Earn two college credits
- Participants are admitted to Illinois Tech as non-degree students
- Participants who perform well may request a letter of recommendation
- Enhance your resume by adding academic university experience
- Explore possible college majors by delving deeply into a variety of topics
- Course completion does not guarantee admission to Illinois Tech degree-seeking programs.
Why Computational Science?
Come experience Computational Science at Illinois Tech and learn why it was ranked one of the Top 50 Summer Programs in the country!
What will you learn in the Computational Science Course?
- Basic implementation of Mathematica code.
- Problems in number theory.
- Manipulate data such as data in astronomy and biology.
- Generating fractal images and random walks.
- Using Mathematica to solve optimization problems.
- Using differential equations to model and solve problems in science and engineering