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Guided learning journeys that build knowledge step by step.
category · Learning · slug · learning · 7819 Paths
7819 Paths · page 754 / 782
A beginner-friendly learning path for primary school students to understand fundamental geometric shapes, their properties, and basic measurement concepts. Starting from basic arithmetic and point concepts, progressing through lines, angles, polygons, and circles, and culminating in perimeter, area, volume, and symmetry.
A systematic learning path for young learners and beginners to build a solid foundation in numbers, operations, and arithmetic reasoning. It covers whole numbers, fractions, decimals, percentages, order of operations, estimation, and mental math, with clear prerequisites and practice steps.
A structured path for advanced undergraduates and graduate students to develop core research competencies in computer science. Covers problem formulation, literature review, experimental design, reproducibility, statistical analysis, communication, and research ethics, culminating in a mini research project.
This learning path guides university CS and engineering students through the architecture and technologies of the Internet of Things. It covers sensing hardware, embedded systems, communication protocols, cloud integration, data processing, and security—building from foundational concepts to advanced applications.
This path equips university CS and engineering students with the principles and practical skills needed to design, implement, and optimize embedded systems and edge computing solutions for resource-constrained environments. Starting with C programming and computer architecture, it progresses through microcontroller fundamentals, real-time systems, and IoT architectures, culminating in edge AI and energy-efficient design.
This advanced learning path for university CS and design students covers the core principles and applications of augmented and virtual reality, including tracking, rendering, interaction, headsets, and spatial computing. It integrates necessary foundations in computer graphics and human-computer interaction, culminating in domain-specific applications in gaming, education, and medicine.
A comprehensive learning path for university CS students covering the principles of blockchain technology, distributed ledgers, and cryptocurrency systems. It begins with cryptographic foundations and distributed systems, progresses through consensus mechanisms and smart contracts, and culminates in Ethereum and real-world applications.
This path builds a rigorous understanding of quantum computing, starting with the mathematical and physical foundations, then progressing through qubits, entanglement, gates, and circuits, and culminating in the analysis of key quantum algorithms such as Grover's and Shor's.
A comprehensive learning path for university CS/AI students to master computational methods for extracting and interpreting information from images and videos. It covers essential mathematics, image processing, feature detection, object recognition, deep learning for vision, and 3D reconstruction, with a focus on practical programming skills.
This advanced learning path guides university CS and engineering students through the core principles of robotics, covering kinematics, perception, planning, and control, with applications to autonomous vehicles. It builds on foundational knowledge in linear algebra, physics, and programming, providing a structured progression from basics to advanced topics.