Machine Learning | Algorithms & Data Science

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Machine Learning | Algorithms & Data Science

Northwestern CTD

Northwestern is a comprehensive research university that is deeply interdisciplinary across multiple schools and units. Recognized globally as a leading global enterprise, Northwestern University is dedicated to delivering academic excellence.
It is one of only four top-10 national universities also ranked in the top 20 in four graduate school rankings.

Center for Talent Development (CTD)
Since 1982, Center for Talent Development (CTD) has been part of Northwestern’s School of Education and Social Policy. It offers a wide variety of courses and programs that allow students to accelerate academically, providing early access to advanced content, opportunities for faster pacing, and credit for successful completion of course work. As an accredited institution, CTD issues high school credit to students successfully completing credit-bearing courses. *

DETAILS

Accelerated and Credit-Bearing Online Courses

Transform talent into expertise, learn practical skills, earn high school credit

No student is born with a set destination, and talent development takes many forms. We know that talents, passions, and goals are discovered through exploration, challenge, dedication, and mentorship.

Many gifted and advanced learners have already mastered many of the concepts and skills that make up grade-level curriculum expectations in traditional schools and are looking for advanced courses that meet core requirements.

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COURSE

Machine Learning | Algorithms & Data Science

DESCRIPTION

The AI Revolution is here. Whether that excites you or scares you, knowing

how machines learn will empower you to best utilize these new innovations.
Learn how data scientists, prompt engineers, and roboticists train AI tools and smart devices to recognize patterns, make predictions, and even take seemingly “intelligent” actions autonomously.

OUTCOMES

Explore how computers learn from data, and dig deeper into concepts like neural networks, regression, classification, clustering, dimensionality reduction, and deep learning.
Then, using the design cycle, showcase your understanding by modifying your own AI innovation so that it addresses a targeted problem.

ACCREDITATION

Honors Elective Online Program

Credits: 1 equivalent credit course within the Honors Elective program

CTD has been accredited through Cognia® & NCAA

Accreditation not only means CTD adheres to high quality standards; it also means CTD can grant academic credit for the rigorous high school courses offered through its various programs.

GRADES

6-12

DATES

27 January – 24 March 2025

DURATION

9 weeks

FORMAT

Students should expect 6-8 hours of independent course work per week

• Weekly live, online class sessions

• Self-paced assignments

WHO IS THIS COURSE FOR?

Qualified thinkers looking for a flexibly paced Computer Science equivalent.

PATHWAY

The field of computer science

SYLLABUS

Unit 1 What is Machine Learning?

Machine Learning Applications

Choosing Your Modeling Tool

Supervised Machine Learning

Unit 2 Supervised Machine Learning

Linear Regression & Logistic Regression

Naïve Bayes

K-Nearest Neighbors

RESOURCES AND MATERIALS

No book is required. Students will need to be able to download free software onto

their computer, like WEKA and a Python compiler.

ADMISSION CRITERIA

Qualified students include those who are performing at or above the 95th percentile on a grade-level assessment, students who are demonstrating high achievement in school via a portfolio of grades and an educator recommendation, or students who have participated in above-grade-level assessment (e.g., ASSET Testing or CTD’s Emerging Talent Identification Program). Students applying for admission to the Machine Learning course by portfolio (without qualifying test scores) have prior introductory level knowledge of the Python programming language.

CTD ONLINE IS ACCREDITED

Cognia Accreditation: CTD is accredited by Cognia (formerly AdvancEd). As CTD is accredited by Cognia, public and private schools also accredited by Cognia should grant credit to students successfully completing credit-bearing courses at CTD per Cognia accreditation standards unless it is otherwise prohibited from doing so by state regulation. You can go to https://home.cognia.org/registry to find out if your school is also Cognia accredited.

NCAA-Approved: CTD Online Honors courses are NCAA-approved, which means that NCAA has determined that the courses meet all NCAA standards for online courses and will be recognized as equivalent to a course covering similar content taught in a traditional face-to-face school environment. Aspiring collegiate scholar-athletes can be assured NCAA-affiliated colleges and universities will recognize core CTD Online Honors courses toward satisfying academic eligibility requirements for participation in college intercollegiate athletic competitions.

*Acceptance of credit from CTD is a local school decision. Students interested in pursuing credit should discuss their school’s policy concerning credit from outside institutions with an academic counselor or school administrator before applying.

PRICE

Program Value: USD 850 (Registration ends on January 10, 2025)

Book now

Please fill out the form and register for the workshop by completing the payment link. Thank you.

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