Edith Aguirre

 Associate Professor of Math

Ms. Edith Aguirre graduated from the University of Texas at El Paso with a Bachelor’s of Science in Mathematics and a Master’s of Science in Statistics. She has lived in El Paso for over 30 years and currently is an Associate Professor of Mathematics at El Paso Community College. She has worked on several innovative math projects for EPCC, like STATWAYtm and the Math Emporiums.

 

Contact Information

Campus:

Mission del Paso

Office:

E103

Phone:

(915) 831-7145

Email:

eaguir53@epcc.edu

 Edith Aguirre

 

 Office Hours

Monday

8:30 – 9:00am

12:00 – 12:30pm

2:30 – 3:30pm

Tuesday

10:30am – 12:30pm

2:30 – 3:30pm

Wednesday

8:30 – 9:00am

12:00 – 12:30pm

2:30 – 3:30pm

Thursday

10:30am – 12:30pm

2:30 – 3:30pm

Friday

10:00 – 11:00 am

 

 

 Courses I Teach

MATH 0142: Math for Fundamentals of Statistics
This is the second course in a two-semester course, to be paired with a designated MATH 1342 section. The course includes: describing real-world and quantitative relationships with equations, inequalities, graphs and tables; solving appropriate equations and inequalities and explaining how the results relate to original context; and appropriate use for approximate numbers instead of exact when required. In order to be prepared for Math 1342 students MUST enroll in a Math 1342 section concurrently with Math 0142. Students will not be allowed to only enroll in a Math 1342 section without concurrent enrollment in Math 0142.

 

MATH 1324: Introductory Mathematics for Business and Social Science
Presents selected topics in algebra including some review topics. Addresses models that include linear, quadratic, exponential and logarithmic functions. Addresses other models, including compound interest, break even, and matrices. Introduces probability and statistics.

 

MATH 1342: Fundamentals of Statistics 
Provides the collection, analysis, presentation and interpretation of data, and probability. Provides analysis which includes descriptive statistics, correlation and regression, confidence intervals, and hypothesis testing. Recommends the use of appropriate technology.