Online: Machine Learning and Computer Engineering Summer Program - North America


Stream offered: Machine Learning

Schedule: 7/6/2021 ~ 7/29/2021

Date/Duration:

  • 1-Week Sessions (1.5hr sessions for 4 days)
  • 4 Sessions from July 6th to July 29th 2021
  • Each week 's program is identical.
    Students can choose any one of the weeks.

Curriculum:

  • Choice of Machine Learning (ML) and Computer Engineering (CE) (students may attend either or both sessions)
  • 4:1 student to instructor ratio
  • Prerequisite: Must have completed 7th grade by the start of the summer program

Schedule

  • NexStarters™ for the Computer Engineering (CE) Stream. Each week’s class is the same. Please choose one of the following time slots.

    • 3:30-5:00PM July 6th-9th
    • 5:00-6:30PM July 12th-15th
    • 3:30-5:00PM July 19th-22nd
    • 5:00-5:30PM July 26th-29th
  • NexStarters™ for the Machine Learning (ML) Stream. Each week’s class is the same. Please choose one of the following time slots.

    • 5:00-6:30PM July 6th-9th
    • 3:30-5:00PM July 12th-15th
    • 5:00-6:30PM July 19th-22nd
    • 3:30-5:00PM July 26th-29th

Fee:

  • $240 per 1-week session per Stream. Tuition can be applied towards the 1st month of subscription if the student decides to continue with the long-term program

Registration and Payment

For Computer Engineering: Please pay here: NexStream - CE-100NS - DC Electronics, Fundamentals - NexStarter

For Machine Learning: Please pay here: NexStream - ML-100NS Intro to Machine Learning Classifiers - NexStarter

Curriculum:

  • Choice of ML and CE (students may attend either or both sessions)
  • 4:1 student to instructor ratio (8 students to 1 instructor and at least 1 instructor assistant)
  • Prerequisite: Must have completed 7th grade by the start of the summer program

Fee:

  • $240 per 1-week session per Stream. Tuition can be applied towards the 1st month of subscription if the student decides to continue with the long-term program

Live Sessions: 4

Machine Learning and Computer Engineering Curriculum Lead Designer, Mr. Tony Mauro

Tony Mauro has an MS in Electrical Engineering from the University of Southern California and is a registered patent agent with the US Patent and Trademark Office. He has 25 years of industry experience in the fields of communication systems, digital signal processing, multimedia, and more. Mr. Mauro has worked at Qualcomm Inc for many years and led many key high-tech projects. Currently, he teaches Computer Science and Engineering at Canyon Crest Academy, a nationally ranked public high school in the San Dieguito Union High School District in San Diego, California.

Students Level: 7th Grade ~ 12th Grade (Need to be enrolling 8th Grade in the incoming Fall Semester)

** Small-size Group Classes (4 Instructors and Assistants working with up to 8 students)

High Teacher -to-Student Ratio: 4 Teachers & TAs to up to 8 students

Detailed Zoom Open House Recording: NexStream Zoom Open House on Machine Learning for School Students (K8 to K11) - YouTube

Live Session Format: Students will work with the instructor and their assistants to do group activities, and then they will be learning Machine Learning on our educational platform (pre-course exams, lectures, assignments, quizzes, projects). While learning this material, students have access to teachers to ask questions via Zoom, Discord video chat, live chat, etc. After each unit, the instructor will ask students to clarify some concepts and collaborate with each other.

Assignment: Each unit has an assignment that will be graded by our instructor

Quizzes: Each unit has quizzes embedded in the curriculum to make sure master what they have learned.

Skills trained: Software, Hardware, project-debugging, collaborative, and leadership skills

For any questions, please contact:

hello@haddee.com
858 449 9689
WeChat:
haddeejHappy
pdd1happy

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Facebook group for G5-G12 resources: Facebook Groups

Thank you and you will have so much fun with this amazing program!

Haddee Team