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To recap, the Senior Track is applicable for students moving to Grades 8,9,10 in 2024-25, with the following considerations:

  • Grade 10 students have the option to pick from the Senior courses OR the Career Discovery & Planning experience.

  • Grade 7 students who have already experienced our Junior Track are welcome to consider the Senior Track courses.

The Senior track comprises the following course options; all students will sign up for the full 3 weeks, by choosing one of the options below:

Sr 2024 Course List
Introduction to Artificial Intelligence and Machine Learning for Gifted Children at the GenWise Summer Program

Introduction to Artificial Intelligence and Machine Learning

(Senior Track - Students in Grades 7,8,9,10 in 2024-25)

Artificial Intelligence (AI) and Machine Learning (ML) are changing the world, and there is going to be an increasing demand for the people who can understand and build AI/ML systems.


All aspects of our life are being digitized and data is being captured, and much of this data is available to anybody who wants to do something with it. More and more of our day-to-day activities will be controlled by or influenced by algorithms. Which means that the most exciting technologies today (and the ones that are also the most successful) are the ones that can make sense of this data in a way humans can. Every company, from Google to Facebook to Netflix to Amazon to Flipkart are turning to AI/ML for best results.

The first two weeks of this course will give students a hands-on introduction to Artificial Intelligence and Machine learning, while Week 3 will focus on the groundbreaking progress being made in Generative AI, and how students can leverage the power of these developments.


The course will introduce the students to 3 different aspects of AI theory and practice:

  • Understanding the theory of AI/ML

  • Learning how to build simple machine learning systems using low-code/no-code tools

  • Using AI algorithms with some existing data-sets to solve problems and build games


Specifically, the course will cover the following:


High-Level Concepts

  • What are Artificial Intelligence and Machine Learning?

  • How is it different from normal software and computers?

  • An overview of the most important different approaches to AI

  • What types of problems they're best suited for?

  • And, what are some current applications that they're being used for?

  • The weaknesses of AI

  • The problems caused by inappropriate use of AI



  • Introduction to the mathematics that underlies ML algorithms

  • Understanding the train-test-validation cycle

  • Understanding the concept of hyperparameters and tuning

  • Understanding overfitting, underfitting, and the bias vs. variance trade-off

  • Techniques for improving accuracy



  • Image/audio/video/text classification using ML

  • Build simple games using ML and Scratch

  • Analyzing some real-world datasets using Python

  • Final Course Project

Week 3 of the course will be purely focused on learning to use the full power of ChatGPT and GenAI.




Creative Engineering Adventures: From Gliders to Robotics

(Sr Track - Students in Grades 7,8,9,10 in 2024-25)

It is often perceived that engineering is a domain reserved for 'technical' individuals, excluding those with a 'creative' flair, and that engineers' work is confined to mathematical equations and machine construction. However, engineering encompasses much more. Engineers probe questions to comprehend issues, envision new possibilities, and endeavour to devise solutions. The term 'engineer' derives from the Latin word 'ingeniatorum', signifying one who exercises creativity.


In this program, students are introduced to the realm of engineering and innovation, focusing on three segments: 1) the flight of gliders, 2) electronics, and 3) pneumatic robotics.

In segment 1, students will explore the principles of aerodynamics and aviation, learning the art of glider construction. They will delve into the concepts of lift and drag, and hone their gliding techniques, thereby developing an appreciation for the science underlying aviation.

In segment 2, students will be acquainted with the fundamentals of circuits and digital logic. They will demystify the workings of electrical components, circuit design, and the logic gates that underpin our digital world. Engaging in hands-on projects and experiments, students will acquire practical insights into circuit construction, laying a robust foundation for further exploration in electronics.

In segment 3, the course unveils the engineering principles behind robotic movements as students design and construct pneumatic robots. By understanding pressure systems and programming robotic actions, participants will immerse themselves in the dynamic and inventive field of robotics, witnessing their creations come to life.

Throughout the course, students will develop hands-on skills in utilising tools and materials, fostering confidence in their ability to design, test, and refine mechanisms. They will learn to sketch designs, brainstorm collaboratively, work effectively in teams, and embrace both sharing and responsibility.


Participants will engage in three projects during this program. Every student will construct a glider, alongside two additional projects—one in electronics and another in pneumatic robotics. In electronics, projects may include developing an electronic quiz system that identifies the first participant to press a buzzer or a device that measures and displays bicycle speed.


In pneumatic robotics, projects could involve utilising pneumatic circuits and an Arduino microcontroller to create models such as a slithering snake, an elephant's trunk, a gripper, a muscle, or other organic actuators, thereby offering a comprehensive exposure to the field of engineering and its creative potential.

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Explorations in Math
(Senior Track - Students in Grades 8,9,10 in 2024-25)

A unique opportunity for students to explore and learn math concepts rarely offered in middle/high school; topics include Proofs Vs Conjectures, Combinatorics, Number Theory and Probability.

It is impossible to be a mathematician without being a poet in your soul - Sofya Kovalevskaya, Russian mathematician who made noteworthy contributions to analysis, partial differential equations and mechanics.

Module 1: Graph Theory & Routing: The Math Behind Google Maps & Amazon Delivery


Perhaps we are unaware that we are employing graph theory in our daily lives. In fact, graph theory is used in many of our daily routine activities.


We know that everything in our world is interconnected; for example cities are connected by road, rail and air networks; hyperlinks connected webpages on the internet; an electric circuit or a computer chip’s various components are interconnected; and so on. Graph theory can assist engineering, scientists, and other professionals who want to analyze, comprehend and optimize these interconnected networks.


For instance - every time we use Google Maps to find the best route between two locations, order food on Swiggy or a package on Amazon, they employ sophisticated versions of graph theory to share the most optimal route or recommend dishes or products.


Why is graph theory so useful in solving these problems?  The most basic answer lies in the fact that graphs can be easy and straightforward models of objects that make up complicated real life situations.


In this module, we will explore mathematics of graphs and network routing using examples and problems that are basic and yet which bring out the key aspects of the more sophisticated problems in this domain. Additionally, this topic presents an opportunity for young, gifted students to experience how mathematics develops and how mathematicians approach their subject. This is an important learning experience for students as they rarely get a chance to discover mathematical material for themselves.

Module 2: Mathematics of Games & Puzzles

It is hard to find anyone who does not like games and puzzles. Sometimes the games seem complicated and it is difficult to figure out a strategy for playing the games. This course takes a mathematical approach to playing games and solving puzzles. Some games are pure strategy, like chess while others are pure luck. However, there are a range of games that are a combination of strategy and luck. For instance, many casino games fall in the last category.


In this module, we will discuss various types of games and the focus on understanding the underlying mathematical structure that leads to victory, loss or no win and no loss.


Similarly, for puzzles too, we will analyze them from the perspectives of their mathematical structure. There are some games and puzzles, for example,  which look very challenging but are actually quite simple. On the other hand, there are games and puzzles which are very simple but even a small modification of the rules makes them extremely difficult.


In short, through games and puzzles this module will explore fundamental mathematical concepts like Probability and Combinatorics.

Module 3: Immersion into a selection of problems from the International Math Olympiad


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Forensic Investigations
(Senior Track - Students in Grades 8,9,10 in 2024-25)

An interdisciplinary exploration


How do forensic scientists analyse traces of evidence found at crime scenes? Can a small drop of blood or strand of hair help identify the suspects?


In this course, we will answer such questions by understanding the biological, chemical, and physical concepts of forensic science. We will further explore the ethical and legal aspects of crime forensics by understanding the roles of bias, doubt, and technology in investigations.


Each topic is set against the backdrop of a real or fictional case, and to solve it, we will engage in investigations, debates, and discussions to understand the topic in detail. All throughout, the focus is on the process of scientific inquiry and the legal principle of ‘proof beyond reasonable doubt’.


We will use our analytical skills to examine fingerprints, DNA, blood samples, and bullet fragments. We do this against the backdrop of cases adapted for students at this learning stage. In the process, we dive deeply into understanding fingerprint formation and patterns; and the structure of DNA, how it is useful as evidence, and what the process is for differentiating the DNA of two people. We will have similar deep dives into the understanding of blood and the process of blood typing and matching. We finally take a journey back in time and reconstruct one of the most famous crime scenes – the JFK assassination, and using our knowledge of force and motion, try to resolve discrepancies in the case.


This course is a perfect mix of deep dives into cutting-edge scientific concepts and using critical thinking to make evidence-based deductions. So put on your investigative hats, make deductions based on evidence, and reach conclusions on different forensic cases!


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