Immersive Summer Interacting with Technology and Engineering (I-SITE) | NYU Tandon School of Engineering

Immersive Summer Interacting with Technology and Engineering (I-SITE)

On Campus

classroom of high school students watching presentation by fellow student



PROGRAM LENGTH Six-week summer program
Monday–Friday, 9 am-4 pm
ELIGIBILITY Students entering 9th, 10th, or 11th grade in September 2024

$11,100 Tuition

$50 Application fee

$350 Materials fee

$100 Events fee

Additional fees for housing and meal plan packages

No deposit for housing.

*Unfortunately scholarships and financial aid are not available for this program at this time


30% due (1) week of acceptance to hold your spot and the balance due (1) week before your session start date. 

Tuition deposit is non-refundable.

*International Students - Please note there are additional fees associated with your visa process. Please refer to the Office of Global Services for details

An interdisciplinary introduction to key STEM fields and skills drawn from Tandon courses and faculty research. The program covers six weeks of coursework, labs, activities, workshops on scientific ethics, public speaking, and presentation training, culminating with a week-long team challenge, prototyping, and demonstrating a solution to a societal problem. There are no specific prerequisites for this program other than academically strong students with a strong interest. No prior experience in programming or robotics is required. The curriculum is designed to organically progress such that students can clearly see the connection from one concept to another. Students will use the state-of-the-art software tools currently used in machine learning (PyTorch). Conceptual learning is always paired with practical learning. The curriculum culminates into the final challenge week, instructors reveal a themed project drawn from contemporary challenges such as climate change, cybersecurity, and other contemporary challenges posed by the twenty-first century. This week-long challenge will be solved as a group to build an engineering solution based on the theory and practical knowledge they gained in the course.

**Student's team project directs the degree of exposure students have in the respective program content and curriculum area.  

***Students receive a take-home kit with components that they can use to further develop and build projects on their own. 


Physical Component of Curriculum (Physical Computing and Robotic)

  • Open-source software for embedded systems/microcontrollers: CircuitPython and Arduino
  • Circuit components (basic introduction to circuits)
  • Digital and analog data representations
  • Sensor integration (learn about a wide variety of sensors and also with the smart car kit)
  • Computer vision (with the PixyCam)
  • Control Theory
  • Direct and Inverse Kinematics

Computational Component of Curriculum  (Computer Science and Machine Learning)

  • Interactive Programming approach to teaching via Google Colab in Python
  • Algorithms
  • Machine learning curriculum taught through PyTorch
  • Data science concepts: model selection and regression
  • Classification, optimizers, and neural networks
  • Open data sets
  • Data visualization and cleaning

Course Schedule - 32 lessons total

Important Dates

2024 Program Schedule:

  • December 15– Application Opens
  • May 10 or Applications will remain open till spaces are filled– Application Closes
  • Orientation: TBA (via Zoom)
  • Program Starts: June 17
  • Holiday: July 4
  • Expo/Final Presentation: July 26
  • Program Ends: July 26 
close up of circuits with hands typing on keyboard in background


The teachers were so skilled in translating their knowledge to us and made each lesson very enjoyable. They made it easy to approach them for any questions, making the learning process easier."



I/SITE’s Keywords: Computer Engineering, Computer Science, Algorithms, Electronics, Coding, Prototypes, Physical Computing, Machine Learning, Robotics, Microcontrollers, Sensors, Smart City, Integrated Systems, Wireless Communication, Computational Analytics, Tensorflow, jupyter

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