Dr. Tina Huang

Professor

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Biography

Dr. Huang received her BS degree in Chemistry from Bethel College and her PhD in Analytical Chemistry from the University of Kansas in 1998. She served as a postdoctoral associate at the National Institute of Standards and Technology. Dr. Huang taught General Chemistry and Quantitative Analysis at Lafayette College for eight years before joining the General Chemistry teaching faculty in 2011. Her teaching philosophy emphasizes providing students with necessary skills for success in their future endeavors, including understanding fundamental concepts, developing problem-solving skills, and acquiring critical and analytical thinking abilities. In her courses, she adapts her teaching approaches based on student levels, using current events and research trends to highlight concepts and applications. She believes learning chemistry is a rewarding lifelong process and aims for her students to become independent thinkers. Additionally, she is interested in developing sensitive analytical techniques to measure contaminants in aquatic environments and is currently working on a research project with Prof. Robert Hudson in the Department of Natural Resources and Environmental Sciences.

Research Interests

Experience

Senior Lecturer

2011-01-01 — Present

Department of Chemistry, University of Illinois • Urbana, IL

Teaching General Chemistry and related subjects.

Awards

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Petroleum Research Fund Summer Research Fellowship

2008-01-01
#

NSF Major Research Instrumentation Grant

2004-01-01
#

NRC Postdoctoral Fellowship

1999-01-01
#

DAAD Graduate Research Fellowship

1997-01-01

Requirements for University of Illinois

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:17
Reading
Required:19
Writing
Required:21
Speaking
Required:20
Total
Required:103
GRE General
Prerequisites
Mathematical background Linear Algebra Calculus
Application Checklist
  • Online application
  • Unofficial transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Resume/CV
Specialization Notes

GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.