RMDS Lab will host a STEM acceleration program designed for the best and brightest students from high schools across the country. The RMDS Stem Acceleration Program is a preparatory camp for students who plan to apply to college and are interested in furthering their studies in data science, machine learning and basic computer programming. This four-week intensive program will guide a small group of high-achieving sophomores, juniors and seniors through weekly lessons, one-on-one private tutoring sessions, and the development of a culminatory project showcasing their learnings.

RMDS’ STEM Acceleration Program prepares students for high achievement in postsecondary education programs that lead to careers in the fields of math and science, also known as STEM fields of study. Students will advance their critical thinking and analytical skills - some of the key competencies looked at by top universities during the admission process into STEM programs. They will gain valuable knowledge of coding and computer programming, the basis for the careers of the future. Furthermore, students will learn how to report their findings and highlight their newly acquired skills in a thorough reporting style that rivals university academic research.

Working closely with the mentors, each student will receive personalized attention. Our knowledgeable instructors have tutored and taught students who went on to prosper at Universities, such as Harvard, MIT, Caltech, Univ. of Chicago, UC Berkeley, UCLA, and more. Our instructors have also worked with college students who were then admitted to graduate programs at Stanford and Berkeley.

Benefits

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Certificate of Completion

This is a certified program through which qualified students will get certification from the Global Association for Research Methods and Data Science. This may be shared for applications for university admittance. It may also be shared on LinkedIn to enhance eligibility for internships, fellowships and jobs.

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Letter of Recommendation

Select exceptional students may be eligible to receive a formal letter of recommendation.

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Private 1 on 1 Academic Tutoring

Besides the weekly lessons, our wonderful instruction team consisting of NASA JPL scientists will guide each student on their projects in the weekly 1 on 1 tutoring session.

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Real-world Hands-on Project

Students will be able to create a web-based real-time forecasting system during the program, which can be used as a strong supporting evidence for their STEM abilities and practical experience.

Schedule & Program Details

Every Wednesdays

starting September 16, 2020

at 5-7 PM PST

Wed, Sept 16, 5:00 PM - 7:00 PM PST

Wed, Sept 23, 5:00 PM - 7:00 PM PST

Wed, Sept 30, 5:00 PM - 7:00 PM PST

Wed, Oct 7, 5:00 PM - 7:00 PM PST

Location
Online
Tools
Python
Difficulty Level
Beginner to Intermediate
Prerequisites
Basic Programming skills in Python or other languages
Who is this for?
High school students interested in STEM, programming, data science and machine learning.

Overview

The workshop will cover a complete workflow of data collection, feature extraction, machine learning model building, validation, prediction, and evaluation of hurricane forecast models. It will provide hands-on training in processing satellite data and organizing data for operational hurricane forecasting. The instructor will introduce methods for feature extraction and data dimensionality reduction, and multiple machine learning techniques.

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RMDS Certification Benefits

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Job opportunities especially open to RMDS data scientist certification holders
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Evidence-based evaluation for your professional skills
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Salary raise and career advancement
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Salary raise and career advancement
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Skillset enhancement and growth prospects
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Gaining a thorough understanding of how data and AI is used in your industry

Course Syllabus

Week 1: Data Collection and Feature Extraction

Understanding data

Preprocessing techniques for spatiotemporal varying satellite data

Generating features from data

Week 2: Machine Learning Algorithms and Model Building

Model building

Model validation

Model evaluation

Week 3: Implementation and Solution Creation

Script automation

A web-based real-time forecasting system

Week 4: Innovative Techniques and Methods

New findings and new methods from the latest research

Generating creative features to improve models

Learn with the best

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Dr. Hui Su is a Principal Scientist in the Earth Science Department of Jet Propulsion Laboratory (JPL). Her research focuses on extreme weather and climate dynamics, including tropical cyclones, El Niño and cloud and water vapor feedback. She received the JPL Lew Allen Award for Excellence in 2008 and NASA Exceptional Scientific Achievement Medal in 2010 for “major advances in the understanding of water vapor and cloud feedback on climate change through quantitative analysis of observations from multiple NASA satellites.” She is an Adjunct Professor of Dept. of Atmospheric and Oceanic Sciences and Assistant Director of the Joint Institute for Regional Earth System Science and Engineering (JIFRESSE) at UCLA. She is an Editor of Geophysical Research Letter and Vice Chair of American Meteorological Society (AMS) Committee on Tropical Meteorology and Tropical Cyclones.
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Dr. Longtao Wu is a data scientist at Jet Propulsion Laboratory. He received B.S. and M.S degrees in Atmospheric Science from Peking University, and his Ph.D. in Atmospheric Science from the University of Wisconsin-Madison. He has extensive experience on numerical modeling and analysis of the Earth System science data, including tropical and extratropical cyclones, aerosol, cloud and water vapor. He received NASA Early Career Public Achievement Medal in 2017 for “excellence in developing customized regional weather and climate model simulations benefiting multiple earth science applications and improving communications networks.”

Don’t miss this valuable opportunity to accelerate your student success!

Want to learn more about the program and benefits?

Schedule a meeting with our team.

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