Algebra for Management Science
1.0
Title: Algebra for Management Science
Credit Hours: 4
Prerequisite (s): Three years of high school mathematics
Corequisite(s): None
Course proposed by: School of Mathematical Sciences
2.0 Course information:
Contact hours | Maximum students/section | |
Classroom | 4 | 35 |
Lab | ||
Studio | ||
Other (Workshop) |
Quarter(s) offered (check)
x Fall x Winter x Spring x Summer
Students required to take this course: (by program and year, as appropriate)
All accounting, management, marketing and international
business students, packaging
science majors, some economics majors and students in the School of Hospitality
and
Service Management.
Students who might elect to take the course:
Finance students and medical laboratory technology, physician assistant, nuclear
medical
technology and diagnostic medical sonography students who lack the appropriate
skills
necessary for 1016 226.
3.0 Goals of the course (including rationale for the course, when appropriate):
To have students learn the basic definitions,
concepts, rules , vocabulary, and mathematical notation of algebra .
To provide students with the necessary manipulative skills required for
solving problems in algebra.
To provide an opportunity for students to obtain a background in
mathematics necessary to a study of business, economics and medical sciences
4.0 Course description (as it will appear in the RIT Catalog, including pre- and co-requisites, quarters offered)
Introduction to functions including linear, quadratic,
polynomial, logarithmic, exponential
and rational functions with applications to supply and demand, cost, revenue,
and profit
functions. Additional topics include matrices, linear programming, and
mathematics of
finance.(Three years of high school mathematics) Class 4, Credit 4 (F, W, S, SU)
5.0 Possible resources (texts, references, computer packages, etc.)
5.1 Harshbarger/Reynolds. Mathematical
Applications for the Management, Life
and Social Sciences , D. C. Heath
6.0 Topics (outline):
6.1 Linear Functions
6.1.1 Function notation; domain and range
6.1.2 Slope concept
6.1.3 Equations of lines : two-point form, slope intercept form,
point-slope form
6.1.4 Graphing linear functions
6.1.5 Applications of linear functions (cost, revenue, profit, supply,
demand and more)
6.2 Polynomial and Rational Functions
6.2.1 Quadratic functions and their graphs
6.2.2 Applications of quadratic functions
6.2.3 Polynomial functions and their graphs
6.2.4 Applications with polynomial and rational functions
6.3 Exponential and Logarithmic Functions
6.3.1 Exponential functions and their graphs
6.3.2 Applications of exponential functions
6.3.3 Logarithmic functions and their graphs
6.3.4 Applications of logarithms
6.4 Linear Systems, Matrices and Linear Programming
6.4.1 Solving systems of two linear equations
6.4.2 Applications (break-even analysis, market equilibrium, etc.)
6.4.3 Matrix algebra (addition, subtraction and multiplication )
6.4.4 Gauss-Jordan method of solving linear systems
6.4.5 Solving systems of linear inequalities
6.4.6 Formulation of linear programming problems and graphical method of
solution
7.0 Intended learning outcomes and associated assessment methods of those outcomes
7.1 Graph linear, polynomial, logarithmic,
exponential and rational functions
7.2 Apply linear, polynomial, logarithmic, exponential and rational
functions in business, economic and medical science problems
7.3 Solve systems of linear equations and apply their solutions
7.4 Solve systems of linear inequalities and apply their solutions in
linear programming problems
7.5 Assessment Methods for 7.1 - 7.4:
• Homework Assignments
• Quizzes
• Exams
8.0 Program or general education goals supported by this course
8.1 To develop students' understanding of the
mathematical framework in which engineering, science, and mathematics program
function.
8.2 To acquaint students with mathematical notation and understanding of
physical and natural laws .
8.3 To develop a capacity for critical and analytical thinking.
8.4 To develop an appropriate level of mathematical literacy and
competency.
9.0 Other relevant information (such as special
classroom, studio, or lab needs,
special scheduling, media requirements, etc.)
None
10.0 Supplemental information
None.
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