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Study OS folders use IITM codes (bsma1001). May checkpoint sheets are separate week guides.
Study OSFull shelf61 courses · 833 ch
BSCS2005
Programming Concepts using Java
20 chapters · /courses/bscs2005
- 579 - Java Introduction- JVM, Compilation, and Hello World1m
- 580 - Data Types & Operators in Java1m
- 581 - Java Memory Model — Stack, Heap, and Garbage Collection1m
BSCS3021
Theory of Computation
13 chapters · /courses/bscs3021
- 385 - Finite Automata — DFA, NFA, ε-NFA1m
- 386 - NFA to DFA Conversion — Subset Construction1m
- 387 - Regular Expressions & Pumping Lemma1m
BSCS4003
Privacy & Security in Online Social Media
12 chapters · /courses/bscs4003
- 409 - Social Network Analysis — Graph Metrics, Centrality, Community Detection1m
- 410 - Data Collection from Social Media APIs1m
- 411 - Text Analysis of Social Media Data1m
BSCS4032
Compiler Design
8 chapters · /courses/bscs4032
BSCS4001
Data Visualization Design
15 chapters · /courses/bscs4001
BSDA5013
Deep Learning Practice
10 chapters · /courses/bsda5013
- 208 - PyTorch Fundamentals for Deep Learning Practice1m
- 209 - Data Loading & Pipelines- Dataset, DataLoader, Transformations1m
- 210 - Pandas for Deep Learning- DataFrames, Series, and GPU-Accelerated Data Processing1m
BSDA5014
Machine Learning Operations (MLOps)
10 chapters · /courses/bsda5014
- 218 - MLOps Lifecycle & CRISP-ML Framework1m
- 219 - Experiment Tracking with MLflow and W&B1m
- 220 - Data & Model Versioning with DVC and Git-LFS1m
BSBT4002
Big Data and Biological Networks
10 chapters · /courses/bsbt4002
BSMS2002
Business Analytics
10 chapters · /courses/bsms2002
- 506 - Business Analytics- Framework & KPIs1m
- 507 - A-B Testing & Experimentation1m
- 508 - Customer Analytics- RFM, CLV & Segmentation1m
BSGN3001
Strategies for Professional Growth
12 chapters · /courses/bsgn3001
- 54 - 🚀 Career Planning & Personal Branding1m
- 55 - 🎤 Interview Preparation & Communication1m
- 56 - 👥 Leadership & Emotional Intelligence1m
BSCS1001
Computational Thinking
21 chapters · /courses/bscs1001
- 803 - Week 1- What is Computational Thinking-1m
- 804 - Week 1- Data Types & Representation1m
- 805 - Week 2- Pseudocode Basics1m
BSCS1002
Programming in Python
30 chapters · /courses/bscs1002
- 776 - Introduction to Programming & Python1m
- 777 - Variables, Data Types & Expressions1m
- 778 - Input, Output & Formatted Strings1m
BSHS1001
English 1
10 chapters · /courses/bshs1001
- 663 - 📖 Reading Comprehension Strategies1m
- 664 - 📚 Vocabulary Building1m
- 665 - 📐 Grammar Fundamentals1m
BSHS1002
English 2
10 chapters · /courses/bshs1002
BSMA1001
Mathematics I
27 chapters · /courses/bsma1001
- 683 - Sets and Set Operations1m
- 684 - Relations and Their Properties1m
- 685 - Functions and Their Types1m
BSMA1002
Statistics I
22 chapters · /courses/bsma1002
- 706 - Introduction to Statistics1m
- 707 - Data Types and Scales of Measurement1m
- 708 - Sampling Methods — How to Collect Representative Data1m
BSMA1003
Maths 2
25 chapters · /courses/bsma1003
- 725 - Vectors- Introduction & Geometric Intuition1m
- 726 - Matrices- Algebra, Types & Operations1m
- 727 - Determinants- Computation, Properties & Cofactors1m
BSMA1004
Stats 2
26 chapters · /courses/bsma1004
- 750 - Week 1.1- Joint Probability Mass Function (Joint PMF)1m
- 751 - Week 1.2- Marginal Distributions1m
- 752 - Week 1.3- Conditional Distributions1m
BSCS2001
Dbms
28 chapters · /courses/bscs2001
- 635 - 01 - Database Management Systems- Introduction1m
- 636 - 04 - SQL DDL- Creating Database Schemas1m
- 637 - 02 - DBMS Architecture1m
BSCS2002
Pdsa
25 chapters · /courses/bscs2002
- 542 - 01. Python Refresher — Classes, Exceptions, Timing, Recursion1m
- 543 - 02. Algorithm Analysis & Big-O Notation1m
- 544 - 03. Complexity Analysis — Recurrence Relations & Master Theorem1m
BSCS2003
Mad 1
12 chapters · /courses/bscs2003
- 567 - Web Fundamentals — How the Internet Works1m
- 568 - HTML Basics — Building the Structure of the Web1m
- 569 - CSS Fundamentals — Styling the Web1m
BSCS2003P
Mad1 Project
8 chapters · /courses/bscs2003p
BSCS2006
Mad 2
10 chapters · /courses/bscs2006
- 599 - Advanced JavaScript (ES6+)1m
- 600 - Advanced Flask-Backend- Blueprints, Error Handlers, Middleware, Async Tasks1m
- 601 - React Introduction — Components, JSX, Props, State1m
BSCS2006P
Mad2 Project
8 chapters · /courses/bscs2006p
BSSE2001
System Commands
10 chapters · /courses/bsse2001
- 609 - Linux Introduction — File System & Terminal Basics1m
- 610 - File Operations — Essential Commands1m
- 611 - File Permissions — Access Control in Linux1m
BSCS3001
Software Engineering
15 chapters · /courses/bscs3001
BSCS3002
Software Testing
12 chapters · /courses/bscs3002
BSCS3003
Ai Search
33 chapters · /courses/bscs3003
- 01 - 🧠 History & Philosophy of AI1m
- 02 - 🤖 Intelligent Agents & Problem Solving1m
- 03 - 🧠 AI Philosophy & Approaches1m
BSCS3004
Deep Learning
20 chapters · /courses/bscs3004
- 34 - 🧬 Deep Learning History & The Perceptron1m
- 35 - ⚡ Activation Functions1m
- 36 - 🔄 Perceptron to Multi-Layer Perceptron1m
BSBT4001
Algorithmic Bioinformatics
10 chapters · /courses/bsbt4001
BSCS3005
C Programming
9 chapters · /courses/bscs3005
- 376 - C Memory Layout — Stack, Heap, Data, Text1m
- 377 - Control Flow, Arrays, and Strings in C1m
- 378 - Pointers Deep Dive — Pointer Arithmetic, Arrays vs Pointers, Function Pointers1m
BSCS3031
Computer Systems Design
11 chapters · /courses/bscs3031
- 398 - Digital Logic Basics — Number Systems, Boolean Algebra, K-Maps1m
- 399 - Boolean Algebra and K-Maps1m
- 400 - Combinational Circuits — MUX, Decoder, Adder, ALU1m
BSCS4021
Advanced Algorithms
13 chapters · /courses/bscs4021
- 421 - Greedy Algorithms1m
- 422 - Matroid Theory — Definition, Examples, Greedy Algorithm on Matroids1m
- 423 - Dynamic Programming1m
BSCS4022
Operating Systems
12 chapters · /courses/bscs4022
- 434 - Process Management — Processes, PCB, States & Context Switch1m
- 435 - OS Structures, System Organization & Boot Process1m
- 436 - Threads1m
BSCS4024
Computer Networks
10 chapters · /courses/bscs4024
- 446 - Networking Models — OSI & TCP-IP, Application Layer1m
- 447 - Transport Layer — TCP & UDP1m
- 448 - Network Layer — IP Addressing, Subnetting, Routing1m
BSDA4001
Ds AI LAB
12 chapters · /courses/bsda4001
- 128 - Python Refresher for Data Science1m
- 129 - Machine Learning with Scikit-Learn1m
- 130 - Feature Engineering1m
BSDA5002
Genai Foundations
11 chapters · /courses/bsda5002
- 140 - Generative Models Overview- Taxonomy, Likelihood, and Fundamentals1m
- 141 - Generative Adversarial Networks- Theory and Implementation1m
- 142 - Variational Autoencoders- ELBO, Reparameterization, and KL Divergence1m
BSDA5003
Algorithms DS
14 chapters · /courses/bsda5003
BSDA5004
Llms
14 chapters · /courses/bsda5004
- 165 - Transformer Architecture — Complete Introduction1m
- 166 - Self-Attention and QKV Computation1m
- 167 - Multi-Head Attention Deep Dive1m
BSDA5005
Nlp
8 chapters · /courses/bsda5005
BSDA5006
Dl CV
11 chapters · /courses/bsda5006
- 187 - CNN Fundamentals- Convolution, Pooling, and Architecture Design1m
- 188 - ResNet, Skip Connections, and Deep Network Design1m
- 189 - Transfer Learning for Computer Vision1m
BSDA5007
Reinforcement Learning
10 chapters · /courses/bsda5007
- 198 - Multi-Armed Bandits- Exploration vs Exploitation1m
- 199 - Markov Decision Processes & Bellman Equations1m
- 200 - Dynamic Programming- Policy Evaluation, Value Iteration, and Policy Iteration1m
BSEE4001
Speech Tech
10 chapters · /courses/bsee4001
BSMA2001
Mathematical Thinking
16 chapters · /courses/bsma2001
BSMA3001
Discrete Mathematics
15 chapters · /courses/bsma3001
BSMA3012
Linear Stat Models
15 chapters · /courses/bsma3012
- 329 - Introduction to Linear Regression1m
- 330 - Regression Applications1m
- 331 - Multiple Linear Regression1m
BSMA3014
Statistical Computing
14 chapters · /courses/bsma3014
- 344 - Monte Carlo Methods1m
- 345 - Importance Sampling and Variance Reduction1m
- 346 - Bootstrap Methods1m
BSMS3002
Market Research
10 chapters · /courses/bsms3002
BSMS3033
Managerial Economics
10 chapters · /courses/bsms3033
BSMS3034
Corporate Finance
10 chapters · /courses/bsms3034
BSMS4001
Industry 4
10 chapters · /courses/bsms4001
BSMS4002
Design Thinking
10 chapters · /courses/bsms4002
BSMS4003
Financial Forensics
10 chapters · /courses/bsms4003
BSMS4023
Game Theory
18 chapters · /courses/bsms4023
BSCS2004
Ml Foundations
14 chapters · /courses/bscs2004
- 464 - Introduction to Machine Learning1m
- 465 - Linear Regression with One Variable1m
- 466 - Gradient Descent Variants1m
BSCS2007
Ml Techniques
10 chapters · /courses/bscs2007
BSCS2008
Ml Practice
10 chapters · /courses/bscs2008
- 488 - ML Practice- End-to-End Project Workflow1m
- 489 - Data Cleaning & Preprocessing1m
- 490 - Exploratory Data Analysis & Visualization1m
BSCS2008P
Ml Practice Project
8 chapters · /courses/bscs2008p
BSMS2001
Bdm
8 chapters · /courses/bsms2001
BSMS2001P
Bdm Project
8 chapters · /courses/bsms2001p
BSSE2002
Tools in DS
10 chapters · /courses/bsse2002
- 516 - Tools in Data Science- Overview1m
- 517 - Git & GitHub for Data Science1m
- 518 - Jupyter Notebooks & Development Environment1m
Foundational · May 2026Checkpoint4 courses · 71 chWeek 1–4 checkpoint sheets only. For the full IITM chapter export, open the matching code under Study OS (e.g. bsma1001).
- may-2026-maths-week-1-sets-and-logic1m
- may-2026-maths-week-2-functions-and-domains1m
- may-2026-maths-week-2-lines-and-slope1m
- may-2026-stats-week-1-data-types1m
- may-2026-stats-week-2-categorical1m
- may-2026-stats-week-3-numerical1m
- may-2026-ct-week-1-variables1m
- may-2026-ct-week-2-iteration-selection1m
- may-2026-ct-week-3-procedures1m
- jan-2026-oppe1-pattern-and-solution-guide1m
- may-2026-python-week-1-algorithms1m
- may-2026-python-week-2-conditionals1m