A calm study book for your term.
Chapters, checkpoint prep, and the credential ladder — structured routes, not endless scroll. 833 chapters indexed across 61 folders.
Foundational Four on the desk
Mathematics I, Statistics I, Computational Thinking, and Python — layered notes, formulas, and Quiz 3 drills.
Mathematics I
Full Study OS chapter shelf for Mathematics I.
27 chapters
Statistics I
Full Study OS chapter shelf for Statistics I.
22 chapters
Computational Thinking
Full Study OS chapter shelf for Computational Thinking.
21 chapters
Programming in Python
Full Study OS chapter shelf for Programming in Python.
30 chapters
Diploma Shelf
Ten diploma courses
Programming and data science diploma courses. The full 61-course shelf lives in the library.
Programming Concepts using Java
OOP in Java, exceptions, events, threads, and synchronization.
20 chapters
Theory of Computation
Automata, grammars, Turing machines, decidability.
13 chapters
Privacy & Security in Online Social Media
Social-network privacy, tracking, k-anonymity, differential privacy.
12 chapters
Compiler Design
Lexing, parsing, translation, code generation, optimisation.
8 chapters
Data Visualization Design
Perception, chart choice, accessible visual storytelling.
15 chapters
Deep Learning Practice
PyTorch practice, pipelines, mixed precision, NLP fine-tuning.
10 chapters
Machine Learning Operations (MLOps)
Versioning, serving, monitoring, CI/CD for ML systems.
10 chapters
Big Data and Biological Networks
Graph theory and biological network analysis.
10 chapters
Business Analytics
KPI frames, marketing analytics, pricing, simulation.
10 chapters
Strategies for Professional Growth
OKRs, interviews, stakeholder work, professional growth.
12 chapters