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Emotions, Metacognition and Self-Regulated Learning

Delves into emotions' impact on learning, self-efficacy beliefs, and decision-making, exploring categorization and components of emotions.

Advanced Physics I: Introduction to Mechanics

Introduces the basics of physics, including mechanics and making predictions based on observations and hypotheses.

Emotions in Learning: Understanding Stress, Sleep, and Self-Regulated Learning

Covers emotions, stress, sleep, and self-regulated learning, highlighting their impact on memory, cognition, and academic achievement.

Graphical Models: Probability Distributions and Factor Graphs

Covers graphical models for probability distributions and factor graphs representation.

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C Language Libraries

Explores standard C libraries, error handling, random number generation, and custom printf variants.

Affective Computing: Theories, Applications, and Predictive Models

Explores emotion theories, applications, and predictive models in affective computing, analyzing NSF funding trends, emotion impact on education and medicine, and emotion detection through physiological signals and visual data.

Introduction to NLP and the Course

Covers the basics of Natural Language Processing, including challenges, linguistic processing levels, and the impact of power laws.

Kitchen Stories: Colorful World Exploration

Explores the use of colors in film to convey emotions and set the mood.

Feedback and Reflection Strategies

Explores the Brookfield reflection model and strategies for managing emotions triggered by feedback.