ENVIRONMENTS AND TOOLS FOR LARGE-SCALE BEHAVIORAL DATA SCIENCE

Name: ENVIRONMENTS AND TOOLS FOR LARGE-SCALE BEHAVIORAL DATA SCIENCE
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PSYCH 755

과목 설명

Provides students with knowledge and experience conducting large-scale behavioral data science projects, independently and in collaboration with others, using a variety of contemporary software tools and environments.

선수과목

PSYCH 750 and PSYCH 752

충족 요건

This course does not satisfy any prerequisites.

학점

미보고

개설 시기

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평점

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변화 계산 불가

수료율

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변화 계산 불가

A 비율

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변화 계산 불가

학급 규모

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과거 데이터 대비 변화 없음

데이터 없음

강사 (2026 Summr)

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유사 과목

MENTORING IN BEHAVIORAL DATA SCIENCE

PSYCH 901

Learn how to mentor in the field of behavioral data science. Apply mentoring skills to a more junior student.

DATA SCIENCE COMPUTING PROJECT

STAT 605

The development of tools necessary for collecting, managing, and analyzing large data sets. Examples of techniques and programs utilized include Linux, R, distributed computing, powerful editor(s), git/github, and other related tools. Work in the class will be done in teams to research, develop, write, and make presentations related to a variety of data analysis projects.

PROSEMINAR IN DATA SCIENCE IN HUMAN BEHAVIOR

PSYCH 709

Discussion of current topics in human behavioral data science, including discussion of planned capstone projects, discussion of recent journal articles, training and practice in scientific communication to various stakeholders, and professional development activities.

PROGRAMMING FOR HUMAN BEHAVIORAL DATA SCIENCE

PSYCH 750

Foundations in programming fundamentals, emphasizing tools and techniques as utilized in human behavioral data science.

APPLIED MACHINE LEARNING FOR BEHAVIORAL DATA SCIENCE

PSYCH 752

Introduction to computational approaches in machine learning for the behavioral sciences.