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Related lectures (31)
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Introduction to Systems Neuroscience: Memory Systems Overview
Introduces systems neuroscience, focusing on neural circuits, memory systems, and course logistics.
Introduction to Spark runtime architecture
Introduces Apache Spark, covering its key features, history, RDDs, architecture, and distributed computing framework.
Linear Systems: Convergence and Methods
Explores linear systems, convergence, and solving methods with a focus on CPU time and memory requirements.
Understanding Dementia: Types, Symptoms, and Progression
Explores types of dementia, symptoms, brain impact, and early diagnosis.
Learning sciences concepts
Explores sensory memory, cognitive load, metacognition, and instructional design concepts.
Learning Sciences Concepts
Explores cognitive load, metacognition, learning environments, and inductive reasoning, with examples of exam questions and the city of Godthåb.
Learning: A Matter of Habits
Discusses learning habits, memory, and the episodic buffer in working memory.
Concurrency and Parallelism: Visibility
Explores visibility in concurrency, memory models, shared memory, and hardware optimizations.
Untitled
Implementation of Lists: SArrayList
Covers the implementation of lists using the SArrayList class and methods for adding, removing, and getting elements.
Working Memory Model: Features and Applications
Explores the working memory model and its applications in learning, emphasizing simplicity and channel utilization.
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