Chih-Yu Chen
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Chih-Yu Chen
- 1 Jahr und 1 Monat, Sep. 2017 - Sep. 2018
Manager of Alternative Civilian Service
Department of Social Welfare, Taipei City Government
Instruct & Counsel 50 people in alternative civilian service in the Government
- 2 Monate, Juli 2017 - Aug. 2017
System Administrator Intern
Modeling and Informatics Lab, Dept. of Psychology, National Taiwan University
• Kept 3 clusters consisting of 11 computers running smoothly • Helped backup & re-setup of all clusters in lab • Installed, configured, & managed server applications & NIS • Built up LAMP stack and transferred websites • Troubleshot and solved requests from lab members
- 6 Monate, Aug. 2016 - Jan. 2017
Teaching Assistant
Graduate Course: Experimental Design
• Assisted in teaching designs of psychological experiments & statistical analyses • Taught Advanced ANOVA, linear mixed effect models, Bayesian linear models, & others
- 6 Monate, Feb. 2016 - Juli 2016
Teaching Assistant
Course: Introductory Statistics for Psychology
• Assisted in teaching concepts incl. descriptive statistics, Central Limit Theorem, ANOVA, & regression • Gave 24-session seminars on basic SAS operation and analyses
- 1 Jahr, Aug. 2014 - Juli 2015
Teaching Assistant
Course: Introductory Statistics for Pschology
• Assisted in teaching concepts incl. descriptive statistics, Central Limit Theorem, ANOVA, & regression • Gave 24-session seminars on basic SAS operation and analyses
Ausbildung von Chih-Yu Chen
- 3 Jahre, Sep. 2014 - Aug. 2017
Social Psychology & Informatics
National Taiwan University
1. Data Science on Psychology and Religion: Web crawling on Twitter with Python, text analytics, emotion analyses, and statistical analyses with Python and R. 2. System Administrator in the Modeling and Informatics Lab (MIL) at the Department of Psychology, National Taiwan University.
- 5 Jahre, Sep. 2009 - Aug. 2014
Psychology
National Taiwan University
Psychological research on the relationship between environmental activism and place/regional identity: Online survey and analyses using multiple logistic regression and other statistical methods.
Sprachen
Deutsch
Gut
Englisch
Fließend
Chinesisch
Muttersprache
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