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Overview

Carnegie Mellon University (2019 - 2023)

  • B.S. Statistics and Machine Learning (2023)

  • Minor in Computer Science

Leland High School

  • 2015-2019

Coursework

2020-2021

Summer 2021

  • 15-213 Introduction to Computer Systems

Spring 2021

  • 15-150 Principles of Functional Programming

  • 36-226 Introduction to Statistical Inference

  • 36-350 Statistical Computing

  • 76-239 Introduction to Film Studies

  • 85-918 Research with CMU's Health and Human Performance Lab

Fall 2020

  • 36-225 Introduction to Probability Theory 

  • 21-241 Matrices and Linear Transformations

  • 15-122 Principles of Imperative Computation

  • 36-290 Introduction to Statistical Research Methodology

  • 85-918 Research with CMU's Health and Human Performance Lab

2021-2022

Spring 2022

  • 36-402 Advanced Methods for Data Analysis

  • 10-701 Introduction to Machine Learning (PhD)

  • 11-411 Natural Language Processing

  • 11-344 Applications of Machine Learning

  • PHIGHT COVID research

Fall 2021

  • 10-301 Introduction to Machine Learning

  • 36-401 Modern Regression

  • 36-490 Undergraduate Research Capstone

  • 67-240 Mobile Web Development

  • 85-918 Research with CMU's Health and Human Performance Lab

2019-2020

Summer 2020

  • 103-207 Psychology (*at Evergreen Valley College)

  • 36-315 Statistical Graphics and Visualization

Spring 2020

  • 36-202 Statistics and Data Science Methods

  • 15-112 Fundamentals of Programming and Computer Science

  • 21-127 Concepts of Mathematics

  • 79-104 Global Histories

  • 82-137 Chinese Calligraphy

Fall 2019

  • 36-200 Reasoning with Data

  • 15-110 Principles of Computing

  • 21-259 Calculus in Three Dimensions

  • 76-107 Writing about Data

  • 76-106 Writing about Literature

  • 66-109 Freshman Seminar: Climate Change

02 EDUCATION

© 2022 by Athena Dai

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