Dr. Alicia Romero

Instructor

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Biography

Alicia Romero is a Lecturer III in the Department of Statistics at the University of Michigan. She engages in teaching and curriculum development in various statistical subjects, emphasizing the application of statistical methods in diverse fields. With a strong background in statistical theory and practical application, she is committed to equipping students with the necessary skills to analyze and interpret data effectively. Alicia has experience in teaching undergraduate and graduate courses that cover introductory statistics, regression analysis, and data analysis techniques. Her pedagogical approach focuses on interactive learning and real-world problem-solving which aims to enhance student engagement and understanding of statistical concepts. Alicia is dedicated to promoting statistical literacy among students, preparing them for success in their academic and professional pursuits. As an active member of the academic community, she collaborates with faculty and contributes to departmental initiatives.

Research Interests

Experience

Lecturer III

2020-08-01 — Present

University of Michigan • Ann Arbor, MI

Teaching statistical courses and engaging in curriculum development.

Courses

Introduction to Statistics Regression Analysis Data Analysis Techniques

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science