1

Learn video game and design basics, explore storytelling structures, characters, and themes, and see how storytelling works in games.

2

Pitch the final project, practice writing for games, master formatting and documentation, and learn the value of writing credits.

3

Diving into narrative design and its five components, focusing on tonal, quest, level, and gameplay design.

4

Explore technical design with AI and cinematography, build immersive worlds, and study how art, VFX, and SFX shape narratives.

1

Students are introduced to abnormal psychology, its definitions, and criteria for abnormal behaviour. They also explore cultural views of normality and trace historical perspectives from supernatural beliefs to modern biopsychosocial models.

2

The focus is on mental health in society, stigma, and media portrayals, with students creating awareness posters. Anxiety disorders are introduced, and a case study helps differentiate everyday nervousness from clinical anxiety.

3

Students learn about mood, stress-related, and somatic disorders, examining their daily impacts. They also explore developmental disorders like ADHD and autism through classroom support activities, and study substance use with an assignment on high- vs. lo

4

This week covers personality and psychotic disorders, with debates and video-based symptom identification. Students also learn basic therapies and treatments through role-plays, before concluding with final project reports analyzing fictional characters.

1

Neurons, synapses, neurotransmitters; learning mechanisms like plasticity; simple circuits such as reflexes and their connections to brain disorders.

2

Explore visual and auditory systems, brain mapping, and how brain anatomy relates to diseases like Alzheimer’s. Conclude with classic neuron models.

3

We’ll cover advanced neuro-modelling and brain rhythms, then explore behavioural neuroscience—attention, memory, bias—and the limbic system.

4

Use NEURON for advanced neuron simulations, then model oscillations in Parkinson’s disease. The course wraps up with your final presentations.

1

Step into graph AI through real-world case studies in tech, finance, and social platforms, uncovering how graph models power daily apps.

2

Move into application domains, where embeddings and GNNs reveal insights in protein folding, drug discovery, and brain networks.

3

See GNNs transform industries—detecting fraud in finance, driving recommendations in e-commerce, and mapping influence in networks.

4

Conclude with Graph Transformers, scalable systems, and real-time apps, preparing for projects, deployment, and future careers.

1

Journey into geopolitics through IR theories, uncover BRI’s origins, and debate ripple effects, lock-ins, and networks shaping Asia’s power map.

2

Master the stem article method, probe case studies like CPEC and BCIM, and discuss how to turn raw questions into sharp, structured research outlines.

3

Build academic muscle by crafting literature reviews, sharpening arguments, debating India’s strategies against BRI, and designing essays anchored in theory.

4

Connect research to recent BRI events, refine arguments with peer discussions, and showcase insights through final presentations and a 4,000-word essay.

1

Intro to FL Studio. Learn the user interface, music theory basics, and how to create drum patterns with the Channel Rack and Piano Roll, setting the stage for your first beat.

2

Discover melody and chord progression techniques. Arrange your first song structure, building on your drum patterns to create a full arrangement and musical composition.

3

Dive into the art of mixing. Understand essential concepts like levels, EQ, and compression to give your track a clean, polished, and professional sound.

4

Finalize your track by learning to master your song for a loud, clear sound. We'll also cover exporting a high-quality file, distribution, and next steps in your music career.

1

Introductions, basics of forensic science, CSI techniques, and debates on ethics vs. evidence build a foundation for critical thinking.

2

Dive into anthropology, entomology, toxicology, firearms, and ballistics - learning how traces of life, death, and weapons guide investigations.

3

Ballistics, blood pattern analysis, autopsy techniques, quiz & write autopsy report for a mock case.

4

Criminal profiling & interrogation, forensic tech timeline, recap, final cold-case presentations & defense

1

Dive into After Effects, set up your workspace, learn keyframes and shape animations and create your first kinetic typography sequence.

2

Explore masking and shape paths, master the graph editor for smooth motion and experiment with parenting and simple rigs for animation control.

3

Track motion in real footage, build 3D parallax text scenes, sync animations to music and storyboard ideas to plan out your sequences.

4

Take a deeper dive into advanced After Effects tools for effects, sound design, and polish, then craft a perfect final project for your reel.

1

Intro to UI/UX, User-centered design, Double Diamond, Problem Framing, Figma basics, and UX evaluation principles.

2

User research: Target Audience, Interviews, Personas, Journey maps, and Affinity Mapping to analyze user needs.

3

Brainstorming, IA, Wireframes, Design Systems with Color, Typography & Accessibility, plus UI Components and Prototyping.

4

High-fidelity Wireframes,Testing & Feedback, Mockups, Project Storytelling, Career Insights, and Final presentations.

1

Explore the history and purpose of cryptography, learn classical ciphers (Caesar, Vigenère, Playfair), and code your own simple encryptions.

2

Dive into cryptanalysis - frequency analysis, substitution breaking, and an Enigma machine demo, while building Python tools to crack ciphers.

3

Move to modern crypto: symmetric encryption with AES, hashing (MD5, SHA-256), and password security with practical coding exercises.

4

Learn RSA and digital signatures, experiment with steganography, and present a final multi step cryptography puzzle or mini secure app project.

1

Students will be introduced to Unity, learning the interface and creating simple scenes. The first project will be a Pong clone, teaching GameObjects, components, and basic C# scripting.

2

Focus will shift to expanding platformers with coins, score counters, and power-ups such as speed or health boosts. Students will also add hazards like spikes and enemies with basic patrol AI, creating more complete levels.

3

We will move into 3D, building a playground scene and adding character movement. Animations, particle effects, and sound integration will be introduced to make gameplay more immersive.

4

Students will focus on game flow and their final projects. They will build multi-level progression and may add advanced features such as checkpoints or mini-maps.

1

Introducing a real-world problem (glioblastoma biomarker discovery) . Demonstrating how protein databases help in linking diseases to mutations in proteins.

2

Demonstration of sequence comparison (BLAST, motifs) and its role in identifying clinically significant mutations like that in genes like IDH1, R132H etc.

3

Case study of network biology — construct an interaction map (STRING) and discuss druggable targets.

4

Showcase radiomics + AI clustering using CaPTk and Orange. Discuss findings from imaging data and relate them back to molecular biomarkers.

1

We will be going through the very basics of the interface and the fundamental skills required for the course and essential shortcuts to stay ahead as well as all the theory behind how to make a good 3d model

2

We will go over sculpting in blender and uv unwrapping and texturing where we will learn everything from procedural texturing to baking texture maps, how to get photorealistic textures and materials and good optimisation practices

3

We will go through camera basics as well as colour theory, lighting theory and composition, animation basics and drive. Students will set up cameras, experiment with HDRIs and moods, and render polished, visually appealing scenes.

4

We will go through particles, simulation, vfx and motion tracking. Will wrap everything up with showcase of final project using all the above learnt features.

1

Understand startup fundamentals, founder mindset, archetypes, market fit, timing, resilience, and mental models for early-stage success

2

Master problem discovery, customer interviews, MVP tests, and market sizing using TAM, SAM, SOM to validate opportunities and avoid failure.

3

Generate and refine startup ideas with first principles, Blue Ocean, SCAMPER; design business models, value propositions, and test MVPs.

4

Plan go-to-market strategy, traction channels, and growth metrics; assess product–market fit readiness and prepare for seed fundraising.

1

Introduction to cybersecurity fundamentals, containerization and networking basics. Students will set up Docker/VMs, analyze network traffic, and explore sniffing and spoofing techniques.

2

Focus on Linux system security and common privilege issues. Students will examine web vulnerabilities such as SQL injection and XSS, and apply their knowledge through capture-the-flag style security challenges.

3

Introduction to cryptography concepts including ciphers, hashing, and encryption. Students will explore defensive techniques with firewalls, IDS/IPS, and gain experience in basic network defense strategies.

4

Students will learn about SOC operations and incident response, then work in teams to design a CTF challenge around a vulnerability and demonstrate both its exploitation and defense in a final presentation showcase.

1

Learn stock market basics, trading vs. investing, and key exchanges like BSE & NSE. Explore market history and fundamental concepts for building a strong foundation.

2

Study candlestick patterns, Dow Theory, and financial instruments like equities, ETFs, and bonds. Understand market indices and their importance in market analysis.

3

Explore risk management, trading psychology, stock screeners, and trade types. Learn advanced trading tools and strategies rooted in technical analysis.

4

Master support/resistance, Fibonacci retracements, and discuss final projects. Wrap up with guidance on applying strategies to real-world trading.

1

Learn quantum mathematical foundations: complex numbers, linear algebra, qubits, superposition, and measurement. Set up Qiskit development environment, create basic circuits, and explore Bloch sphere visualization. Choose final project algorithm.

2

Study and implement Deutsch, Deutsch-Jozsa, Bernstein-Vazirani, and Simon's algorithms. Explore quantum Fourier transform basics and multi-qubit entanglement. Code implementations in Qiskit with circuit optimization. Begin project circuit design.

3

Implement Grover's search and Shor's factoring algorithms with mathematical derivations. Explore variational quantum algorithms (VQE, QAOA). Test circuits on IBM Quantum hardware with noise characterization and error mitigation strategies.

4

Finalize project with comprehensive analysis including theory, Qiskit implementation, and hardware results. Conduct peer reviews and presentations. Discuss industry applications, quantum advantage, and future directions in quantum computing.

1

Course introduction, brief history of AI, revision of Python programming and step-by-step development of a basic Flask API.

2

Brief intuition on LLMs, tokenization, embeddings, Transformer architecture and hands-on session on LLM based text generation.

3

Drawbacks of LLMs, introduction to RAG, sessions on building basic RAG architecture and a basic AI Agent.

4

Understanding use cases of Agentic AI and applications of LLMs, with practical sessions on building a Q&A bot.

1

Learn basic DSA in Python, arrays, strings, and simple coding tasks to build coding foundations for CP.

2

Dive into time & space complexity, sorting comparisons, and problem-solving with recursion and backtracking.

3

Explore constraint analysis, memoization, dynamic programming (LCS, coin change), and CP contest simulations.

4

Focus on advanced problem analysis, pattern recognition, optimization, and creating your own CP-style problem.

1

Web basics (HTML, CSS, responsive design), JavaScript essentials, React intro (JSX, components, props, useState, basic useEffect).

2

React Router, Context API, Tailwind CSS, Next.js fundamentals, HTTP & REST basics, Postman for API testing.

3

Node.js & Express.js basics, authentication with JWT, MongoDB integration with full CRUD.

4

Backend practices (error handling, validation, structure, env vars), full-stack with Axios, Git basics, deployment (Vercel, Render, Railway).

1

Python, NumPy, and math fundamentals, machine learning basics and traditional algorithms (linear/logistic regression). Students implement basic ML models using Python and NumPy.

2

Neural networks basics and fully connected networks. Students build neural networks from scratch to understand backpropagation.

3

Convolutional Neural Networks (CNNs) for image processing. Students implement CNNs using PyTorch and transfer learning.

4

Final project presentations comparing ML vs neural networks vs CNNs. Students demonstrate their complete MNIST classification pipeline.

1

This week focuses on the basics of Arduino programming and digital electronics. Students will learn to read datasheets, write and simulate code to control LEDs, and read input from switches.

2

This week dives into sensors and actuators, the core components of an automated system. Students will learn to use sensor data to control actuators like motors and relays, completing a basic automation loop.

3

This week introduces wireless communication protocols essential for smart devices. Students will explore Bluetooth, Wi-Fi, and RFID for access control, and discuss the role of automation in energy efficiency.

4

The final week is dedicated to the students' self-designed projects. They will refine their code, build their projects with physical components, and prepare their final presentation video for evaluation.