Rising Senior Incubator

Rising Senior Incubator

$3,997.00

Rising Senior Incubator: Deadlines: Early Bird: January 31st; Late Registration: Until June 14th.

SKU: DRP-RISINGSENIOR-004 Category:

We guide your rising senior through all aspects of their project development from conception to competition to publication submission targeting the STS Competition. Compared to RIC, this group starts earlier in the Summer.

Free consultation: 1 (20-minute).
Joint sessions with scientist instructors: 26.
Individual writing coach sessions: 2.
Dual enrollment eligibility: Yes.
Time: June to November (7 months). Meeting time online: Once a week (1 hr). Total meetings included: 28.
Pricing: $3600 Early Bird / $4000 Late Registration. Deadlines: Early Bird: January 31st; Late Registration: Until April 14th.
Add-ons: Individual Mentor Sessions, RIC.

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Data Science and Data Analytics for Research Project

Dr. Calvin Williamson

Professor, Science and Math, State University of New York & Fashion Institute of Technology

Prof. Rajasekhar Vangapaty

Academic Advisor, Fashion Institute of Technology
State University of New York
Founding Member and President of Empowerment Skills International

Schedule: 2 days per week (Tuesday & Thursday)

 

What you’ll learn

Regression

  • Regression
  • Simple Regression
  • Multiple Regression
  • Applications
  • Conjoint Analysis

Introduction to Python

  • Google Colab Notebook
  • Variables, DataTypes
  • Lists, Strings
  • Functions

Machine Learning

  • Classification, Accuracy
  • Training, Testing
  • Decision Trees
  • Pandas, Dataframes
Register

Understanding AI and it’s proper use

Dr. Calvin Williamson

Professor, Science and Math, State University of New York & Fashion Institute of Technology

Prof. Rajasekhar Vangapaty

Academic Advisor, Fashion Institute of Technology
State University of New York
Founding Member and President of Empowerment Skills International

Schedule: 2 days per week (Monday & Wednesday)

 

What you’ll learn

Introduction to Python for Artificial Intelligence

  • Google Colab Notebook
  • Using LLM as Coding Assistant
  • Calculations
  • Variables
  • DataTypes
  • Lists
  • Dictionaries
  • Functions
  • Dataframes
  • f-Strings

Introduction to Large Language Models (LLMs)

  • LLM Examples (GPT, Claude, Gemini)
  • Completions, APIs
  • Prompting
  • Prompt Chaining
  • Roles and Personas
  • Chain of thought
  • Few-shot and zero-shot Learning
Register