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Duke University is a world-renowned private research university located in Durham, NC. Its commitment to interdisciplinary learning and collaborative research helps shape the futures of its students and communities.
In this course, you will discover the organization of the neural systems in the brain and spinal cord that mediate sensation, motivate bodily action, and integrate sensorimotor signals with memory, emotion and related faculties of cognition.
This course provides the basic biology you need to understand all of these issues better, tries to clarify some misconceptions, and tries to prepare students for future, more advanced coursework in Biology (and especially evolutionary genetics).
In this course, students learn to recognize and to apply the basic concepts that govern integrated body function (as an intact organism) in the body's nine organ systems.
Learn data analysis using Excel, focusing on predictive modeling, uncertainty quantification, and practical business applications. Gain skills in binary classification, information theory, and linear regression.
Dog Emotion and Cognition will introduce you to the exciting new study of dog psychology, what the latest discoveries tell us about how dogs think and feel about us, and how we can use this new knowledge to further strengthen our relationship with our be…
You will gain a foundation for college-level writing valuable for nearly any field.
Learn foundational programming concepts and web development skills to create interactive web pages with HTML, CSS, and JavaScript. Build a project allowing users to upload images and apply custom filters.
Explore how the brain creates spatial awareness from sensory inputs and how this shapes cognition. Discover the neural mechanisms behind perception, memory, and navigation.
Learn Java programming through hands-on problem-solving. Design algorithms, transform data, and build practical applications. Develop skills in coding, debugging, and using Java APIs to tackle real-world challenges.
Learn to apply Bayesian methods for statistical inference, decision-making, and regression. Update prior probabilities, make optimal decisions, and implement model averaging using R software.
Master essential math concepts for data science: set theory, real numbers, functions, graphs, rates of change, and probability theory. Build a strong foundation for advanced analysis.
Explore fundamental chemistry concepts, from matter and energy to chemical reactions and stoichiometry. Develop problem-solving skills applicable to science, health, and policy professions.
Learn to identify, analyze, and reconstruct arguments effectively. Develop critical thinking skills to evaluate reasoning in various contexts and improve your ability to understand and construct persuasive arguments.
Explore oil and gas industry operations, from exploration to transport, and market dynamics including costs, pricing factors, and reserves impact on industry viability.
Learn to identify critical business metrics, distinguish data analyst roles, and evaluate companies' big data adoption. Gain skills for high-demand jobs in data analytics and understand how disruptive companies leverage data for competitive advantage.
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