COG SCI 88 Data Science And The Mind

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How does the human brain work? We explore this problem by analyzing a series of data on human rationality and irrationality, human memory, how objects and events are expressed in consciousness, and the relationship between language and cognition. This course equips young scientists with critical thinking and computational skills, enabling them to process data in cognitive science and related disciplines.

The connector links to basic data science courses in two ways: 1) Apply and enhance the ideas of reasoning and computation from the basic course to quantitative analysis of reasoning science to perform quantitative analysis of phenomena in cognitive science 2) Core course Practical skills taught in Zhong are combined with hypotheses and theoretical goals.

In particular, the structure of the connector is designed to follow the content of the main course in order to apply the concepts and skills learned (with a greater degree of depth) and strengthen the understanding of cognitive science. For example, ideas taught mainly at the beginning of the course (such as data visualization, bar charts and sampling) will first be presented in this connector and will focus on the application of cognitive phenomena - enter 1-2 weeks between the connector and main course Slight backlog, so concepts extracted from the main course can be reinforced in the connector. Later, more sophisticated core course techniques such as regression and predictive modelling will be incorporated into the connector to give students the opportunity to practice again.

As a complement to the data-driven (bottom-up) approach in the core course, this connecting course introduces students to targeted, hypothetical, and theoretically oriented (top-down) cognitive tasking methods. Specifically, each lesson (as indicated in the course summary) aims to explore a problem or topic related to the nature of the mind, and the reading material will contain case studies to illustrate how to solve and test the problem.

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