MATH 1210: Mathematics for the Arts
Effective date
September 2017
Description
This course is intended for students in life sciences, social sciences, business, or economics degree programs. It explores the applications of mathematics through everyday, real-life examples. Students are introduced to the concepts of linear equations and functions, inequalities, systems, linear programming, set and graph theory, elementary probability, Markov processes and descriptive statistics.
Year of study
1st Year Post-secondary
Prerequisites
Precalculus 11 or Foundations of Mathematics 11 or MATH 0861 and MATH 0871 both with a 'C-' or Basic Algebra Assessment test with a 55% or equivalent.
Course Learning Outcomes
Upon successful completion of this course, students will be able to:
- Set up and solve linear systems and linear inequalities by the methods of graphing, algebraically and by using matrices.
- Formulate and solve maximum and minimum linear optimization problems by writing a system of linear equations or inequalities from a written description.
- Perform operations on sets, including unions, intersections, differences, and complements.
- Model and solve real-world problems using graphs and trees.
- Calculate simple present and future value of annuities using math formulas.
- Compute basic probabilities including conditional probabilities using Baye's Theorem.
- Solve application problems using combinatorial analysis.
- Model real-world problems using Markov processes.
- Use statistical procedures to analyze data, including measures of center and variation, and the normal distribution.
Prior Learning Assessment & Recognition (PLAR)
None
Hours
Lecture, Online, Seminar, Tutorial: 60
Total Hours: 60
Instructional Strategies
The course uses a combination of lectures, project work, guest speakers and software demonstrations.
Grading System
Letter Grade (A-F)
Evaluation Plan
Type
|
Percentage
|
Assessment activity
|
Assignments
|
20
|
|
Participation
|
10
|
|
Midterm Exam
|
20
|
|
Project
|
25
|
|
Final Exam
|
25
|
|
Course topics
- Algebra and Equations
Graphs, Lines, and Inequalities
Functions and Graphs
Mathematics of Finance
Systems of Linear Equations and Matrices
Linear Programming
Sets and Probability
Counting, Probability Distributions, and Further Topics in Probability
Markov Processes
Introduction to Statistics
Notes:
- Course contents and descriptions, offerings and schedules are subject to change without notice.
- Students are required to follow all College policies including ones that govern their educational experience at VCC. Policies are available on the VCC website at:
https://www.vcc.ca/about/governance--policies/policies/.
- To find out if there are existing transfer agreements for this course, visit the BC Transfer Guide at https://www.bctransferguide.ca.