Apr 24, 2024  
2022-2023 General Catalog 
    
2022-2023 General Catalog [ARCHIVED CATALOG]

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MAT 749 - Technical Math III


Last Date of Approval: Fall 2022

4 Credits
Total Lecture Hours: 60
Total Lab Hours: 0
Total Clinical Hours: 0
Total Work-Based Experience Hours: 0

Course Description:
This is the third and final course of the Technical Mathematics sequence. Topics will include vector fundamentals, linear systems, limits, functions, and applied differential and integral calculus. Students will develop the skills and reasoning to solve problems in the workplace involving rates of change, optimization, and total value. The knowledge gained can also be applied to a variety of situations in everyday life where the student must evaluate data for validity.

Prerequisites: Technical Math II (MAT 748)

The prerequisites may be waived if the instructor determines that the student has completed equivalent coursework.
Recommended(s): Computers will be used frequently in this course. Students who do not have experience using computers should not attempt this course until having first completed a course in basic computer use.
Mode(s) of Instruction: traditional/face-to-face

Credit for Prior Learning: There are no Credit for Prior Learning opportunities for this course.

Course Fees: ebook/Access Code: $119.99 (charged once per term for all courses that use Cengage Unlimited)

Common Course Assessment(s): None

Student Learning Outcomes and Objectives:

  • Utilize foundational mathematical concepts related to calculus
  • Analyze problems and develop appropriate solution strategies
  • Apply concepts of differential & integral calculus to problem solving
  • Develop mathematical models using technology for solution and validation

Course Objectives

  • Utilize principles of precalculus
  • Analyze functions, graphs, and limits
  • Determine the derivative of a function
  • Apply differentiation to real-life problems
  • Analyze and apply exponential and logarithmic functions
  • Determine the integral of a function
  • Apply integration to real-life problems
  • Apply principles of optimization



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