Skip to content
 Northwest Vista College Library 
1st Floor, Redbud Learning Center (RLC)
3535 N. Ellison Dr.
San Antonio, TX 78251
(210) 486-4513 
mailto:nvc-library@alamo.edu
Mon to Thur: 7:30am - 8:30pm
Fri: 7:30am - 4:00pm
Sat: 8:30am - 2:30pm
Sun: CLOSED
Vertical_Bar 
Click To Go to Library  

     Research Guides 

     Library Modules 

     Citing Sources 

 
Close
Computer Lab 

Computer and Tutoring Labs

Open Computer Lab:
 Mon-Thurs 7:30am-8:00pm
 Friday 8:00am-4:00pm
 Phone: (210) 486-4000
Vertical_Bar 
Close
 

Frequently Asked Question

Question:
MATH 1314 College Algebra (Non-Math Science Track)

Answer:
/assets/0/695/696/886/926/2784/3046/22b89bdb-ab1c-4cf2-a282-754c6d6e10c7.jpg

 Textbook:  College Algebra:  2nd Ed, Coburn; McGraw Hill.    

        ISBN:  978-0-07351941-8 or 978-0-07-746671-8 

Catalog Description:  Topics include functions, including the algebra of functions, composites, graphs of polynomial and rational functions, inverse functions, logarithmic and exponential functions, systems of equations using Cramer's Rule, matrices and determinants, sequences and series. 

Prerequisites:   A grade of “C” or better in MATH 0303 or placement by Accuplacer Exam or THEA Exam.  Other prerequisites include ENGL 0300 and READ 0302.  

Semester Credit Hours:   (3-3-0)  

Course Outcomes:   After successful completion of this course, you should be able to: 

  1. Find combinations, compositions, and inverses of functions. 
  2. Find the domain of a function given its algebraic or graphical form. 
  3. Solve and graph linear and second-degree equations. 
  4. Use linear transformations to graph functions or determine the function from its graph. 
  5. Graph polynomial and rational functions. 
  6. Solve inverse functions. 
  7. Graph exponential and logarithmic functions. 
  8. Solve systems of linear equations by substitution and elimination. 
  9. Solve applied problems using skills developed in this course, including applications involving percent, simple and compound interest, taxes, and mathematical modeling with emphasis on exponential growth and decay, logistics growth, and logarithmic models.