Max Kramer

Psychology, Computer Science, Statistical Modeling

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Course Work

Max graduated from Oberlin in May 2020. This is a sample of courses Max took during his time at Oberlin College and Conservatory.

Research Methodology

PSYC 200 Research Methods I

PSYC 300 Research Methods II

PSYC 304: Advanced Methods in Adolescent Psychodevelopment

PSYC 306: Advanced Methods Psychometrics

PSYC 560: Supervised Research in Adolescent Psychodevelopment

PSYC 600: Honors Research in Psychology

PSYC 900: Independent Research in Psychology (Applied Machine Learning)

Theoretical Computational Training

MATH 133: Calculus 1: Limits, Continuity, Differentiation, Integration, and Applications

MATH 232: Linear Algebra

STAT 237: Bayesian Computation

CSCI 345A: Computers and the Physical World

CSCI 364: Artificial Intelligence

Applied Computational Training

CSCI 150: Introduction to Computer Science

CSCI 151: Data Structures

CSCI 241: Systems Programming

CSCI 374: Machine Learning/Data Mining

Psychology & Neuroscience Training

PSYC 100 Introduction to Psychology

PSYC 204: Development in Cultural Context

PSYC 209 – Complex Cognition

PSYC 215 Introduction to Clinical/Counseling Psychology

PSYC 221 – Social Visual Perception

PSYC 420: Seminar in Social Neuroscience

PSYC 450: Seminar in Language and Thought

NSCI 107 – Neuroscience and Society

NSCI 201 – The Brain: Introduction to Neuroscience

NSCI 360 – Cognitive Neuroscience

PACE 317: Psychology of Musical Behaviors

Non-Scientific Computation

TECH 202: Real Time Techniques

MUTH 317: Music and Embodied Cognition

TECH 350: Hybrid Bodies, Cyborg Worlds

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