Browse all cheatsheets
A comprehensive yet simple cheat sheet for Branding & Identity Design, covering key concepts, strategies, and practical applications for exam revision and real-world understanding. Designed for design students to easily grasp and remember core branding principles.
A concise cheat sheet summarizing key aspects of special senses, endocrine, reproductive, and respiratory systems in human anatomy. Perfect for quick review and study.
A comprehensive cheat sheet covering essential cybersecurity concepts, tools, and techniques. Includes information on threat identification, security models, ethical considerations, and common attack vectors.
A concise reference guide covering key psychological concepts, theories, and effects, designed for quick review and understanding. This cheat sheet includes lifespan development, motivation, personality, social psychology, stress management, I/O psychology, psychological disorders, and treatment approaches.
A concise cheat sheet covering common psychological disorders like Social Anxiety, BDD, ADHD, and OCD, along with an overview of their treatments, including therapies and pharmaceuticals.
A quick reference guide to key psychological concepts, theories, and disorders, covering lifespan development, motivation, personality, social psychology, stress, I/O psychology, psychological disorders, and treatment approaches.
A comprehensive cheat sheet covering the key aspects of environmental monitoring, including types, principles, levels, methods, and specific monitoring systems.
A concise cheat sheet covering essential foundation maths concepts for quick review and exam preparation.
A concise cheat sheet for ENGGEN 140, covering essential concepts, formulas, and definitions from the coursebook.
A concise two-page cheat sheet covering the most essential concepts, formulas, definitions, and examples from ENGGEN 140.
A quick reference guide to Prolog programming, covering syntax, data types, list manipulation, control flow, and built-in predicates.
A concise reference for deep learning practitioners using PyTorch, covering core concepts, modules, and common operations.