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Accomplished Scholar Leadership Program

Introduction to Machine Learning and AI with Python

(Suitable for: G9 - G11)

Fall Semester 2023

Course Description

This course is designed to help you learn, understand, and practice big data analytics and machine learning approaches, which includes the study of modern computing big data technologies and scaling up machine learning techniques focusing on industry applications. We will learn about the functionality of the algorithm and theory without relying on complex math. In this way, you will master the fundamental theories in machine learning through theoretical study, understanding the latest developments, and learning to design algorithms for specific problems in their respective disciplines.

Internships and Research Projects

Students interested in Computer Science internship or research projects are required to take CSC23-3 to be eligible for assignment to an internship or project in humanities or social sciences. Students interested in participating in ANY research projects with Perceiver are required to take GEN23-1 to be eligible for assignment or selection.

Deadline for Registration

September 1, 2023

Course Begins

September 14, 2023

Tuition

  • US $1,200

  • Refund Policy: After the first session, student may drop course and receive a 100% refund before the second session.

Academic Subject

Computer Science

 

Course Location

Online

 

Eligibility

Mature students in grades 9-11 with a strong interest in Computer Science. Math through Pre-calculus is recommended. Students should be able to write clearly and analytically in English, with particular emphasis on research writing skills. Students are expected to engage and participate collaboratively, be proactive and take initiative, be professional, courteous, and respectful, and attend all classes on time and come prepared. A high level of achievement in math and/or computer science, basic understandings of public policy, and the ability to do conversions and formulas, and the ability to draw and/or sketch renderings and designs is a plus.

Course Structure

8 Sessions + 1 Final Presentation

Contact Info

Bill Tao: bill.tao@usperceiver.com | Jasmine Ding: jasmine.ding@usperceiver.com

Phone: +1 (949) 695-7042

Address: US Headquarters

2372 Morse Ave,

Irvine, CA 92614

For any additional questions or concerns, please contact us for more information.

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