SUMMER COMPUTING INSTITUTE (SCI) 2023

Schedule

• Schedule

Staff

• Staff & Speakers directory
• Instructors: Dr. Parisi, Dr. Guida, Dr. Scharff
• Thanks to our wonderful mentors: Aida Bozulan, Omari Brockington, Lauren DeMaio, Rutik Kothwala, Dominick Sacchetti, Chandani Thumar
• Staff: Melanie Madera, Jackie Wong

Learning outcomes

• Be more knowledgeale about datasets about NYC
• Be more knowledgeable about what Data Science is
• Be introduced to data science algorithms
• Be introduced to basic statistics
• Be familiar with the Python language fundamentals
• Be familiar with the most common Python data structures and libraries for Data Science
• Be able to create visualizations with Python
• Be able to use Python to carry out basic statistical modeling and analysis
• Be familiar with Design Thinking
• Have developed teamwork and communication skills
• Have applied knowledge on a project based on real data
• Discover studies and careers in tech

Material

Introduction

• Introduction

Python Slides and Challenges

• Python 1 - Printing and Text Input
  • Challenge 1
• Python 2 - int, float and basic math
  • Challenge 2
• Python 3 - if, elif, else, and
  • Challenge 3
• Python 4 - Loops
  • Challenge 4
• Python 5 - Strings
  • Challenge 5
• Python 6 - Lists and dictionaries
  • Challenge 6

Data Science Slides and Challenges

Slides (in Google Colab)

• Data Science 1
• Data Science 2
• Data Science 3

Challenges

• Challenge 1
• Challenge 2
• Challenge 3

Project

Infos about the project

Datasets

• NYC Open Data, subway entrances, dog licenses, film permits etc.
• Datasets
• Download the datasets here

Tools

• Communication - Discord
• Documentation - GitHub
• Exploration of the data - Excel, Python
• Code - Python, Google Colab, GitHub
• Presentations - Google Docs

Panel

• Seidenberg students' panel

Students' work

• Team 1
  • Presentation
  • Code
• Team 2
  • Presentation
  • Code
• Team 3
  • Presentation
  • Code
• Team 4
  • Presentation
  • Code
• Team 5
  • Presentation
  • Code

Ceremony

• Summary presentation
• Videos

Resources

Python

• Learn Python
• Learning Python with Karel
• numpy
• pandas

Data Science

• Video: What is Data Science? DS 101
• Video: What is Data Sciene?

Statistics

• Introductory Statistics Book

Design Thinking

• Video: Explainer: What is Design Thinking?
• Design Thinking at IDEO