| DIVISION | Science and Mathematics |
| CURRICULUM | College Transfer |
| TITLE | Application of Mathematics to Management, Life, and Social Sciences |
| NUMBER | MATH 116 |
| TYPE | Mathematics |
| CREDITS | Five |
| LENGTH | One quarter of five lecture hours per week. |
| CLASS SIZE | 35 |
| PREREQUISITE | MATH 098 with 2.5 or better or 1 and 1/2 years of high school algebra and placement exam. |
| COURSE DESCRIPTION: A study of mathematical concepts of particular interest to business, social and life science students to include: linear equations, functions and applications; quadratic equations, functions and applications; exponential and logarithmic functions. At the instructor's option, topics from mathematics of finance, probability, statistics, algebra of matrices, and computer assisted applications will be included. Many SCCC math instructors promote active learning through small group problem solving and discussion. Classes may experiment with computers and graphing calculators to illustrate concepts and assist in problem solving. (This course is normally followed by MATH&148, Elements of Calculus. Some transfer institutions regard these as a sequence and will not award credit for MATH116 without MATH&148.) COURSE OBJECTIVES: To introduce the mathematical models and tools that students of management, life and social science require to function successfully in their chosen fields. COURSE CONTENT: (Material covered will come from the following general categories.) Linear equations, linear functions and applications (supply and demand, total cost, revenue, and profit functions among others). Quadratic equations, quadratic functions and applications (supply, demand, and market equilibrium; break-even points and profit maximization). Exponential and logarithmic functions. (growth, decay and continuous interest) Techniques for graphing, together with graph interpretation. Mathematics of finance (simple and compound interest, present value, amortization and annuities) Probability (independent, dependent, mutually exclusive, non-mutually exclusive events; permutations and combinations, counting principles.) Algebra of matrices. (matrix methods and their applications, including linear programming) Use of computer programs relevant to topics above. |
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