I. Course Prefix/Number: MAT 143
Course Name: Finite Mathematics
Credits: 4 (4 lecture; 0 lab)
III. Course (Catalog) Description
IV. Learning Objectives
2. Formulate maximum and minimum linear optimization problems by writing a system of linear equations or
inequalities from a written description.
3. Develop strategies to solve mathematics of finance problems.
4. Solve systems of linear inequalities algebraically, graphically, or using the simplex method.
5. Calculate probabilities using the concepts of counting theory and interpret the results in a summary
6. Use statistical procedures to analyze data.
7. Demonstrate effective use of technology to facilitate problem solving.
8. Apply matrices to a variety of practical applications in business and the social sciences through such
techniques as the simplex method, Leontief matrices, Markov chains and game theory.
V. Academic Integrity
• plagiarism (turning in work not written by you, or lacking proper citation),
• falsification and fabrication (lying or distorting the truth),
• helping others to cheat,
• unauthorized changes on official documents,
• pretending to be someone else or having someone else pretend to be you,
• making or accepting bribes, special favors, or threats, and
• any other behavior that violates academic integrity.
There are serious consequences to violations of the academic integrity policy. Oakton's policies and procedures provide students a fair hearing if a complaint is made against you. If you are found to have violated the policy, the minimum penalty is failure on the assignment and, a disciplinary record will be established and kept on file in the office of the Vice President for Student Affairs for a period of 3 years.
Details of the Code of Academic Conduct can be found in the Student Handbook.
VI. Sequence of Topics
B. Solving systems of linear equations by matrix methods.
C. Systems of inequalities and linear programming .
D. Application of matrices including simplex method, Markov chains, Leontief matrices, and game theory.
E. Set theory, logic and Boolean Algebra.
F. Counting and probability theory.
G. Mathematics of finance.
H. Basic statistical concepts.
I. Mathematical modeling.
VII. Methods of Instruction
Methods of presentation can include lectures, discussion, demonstration, experimentation, audio-visual aids, group work, and regularly assigned homework. Calculators / computers will be used when appropriate.
Course may be taught as face-to-face, media-based, hybrid or online course.
VIII. Course Practices Required
IX. Instructional Materials
Textbooks can also be found at our Mathematics Textbooks page.
X. Methods of Evaluating Student Progress
Evaluation methods can include graded homework, chapter or major tests, quizzes, individual or group projects, calculator / computer projects and a final examination.
XI. Other Course Information
If you have a documented learning, psychological, or physical disability you may be entitled to reasonable academic accommodations or services. To request accommodations or services, contact the ASSIST office in the Learning Center. All students are expected to fulfill essential course requirements. The College will not waive any essential skill or requirement of a course or degree program.