MATH 10A - Support Topics for Survey of College Mathematics
The following are the Student Learning Outcomes (SLOs) and Course Measurable Objectives (CMOs) for MATH 10A. A Student Learning Outcome is a measurable outcome statement about what a student will think, know, or be able to do as a result of an educational experience. Course Measurable Objectives focus more on course content, and can be considered to be smaller pieces that build up to the SLOs.
Student Learning Outcomes (SLOs)
- Students feel that Math 10A has improved their overall mathematical understanding and ability in Math 100. (measured by survey provided by corequisite committee)
- Math 10A students will be able to use inductive and deductive reasoning to problem solve.
- Math 10A students will be able to solve applications involving linear functions.
- Math 10A students will be able to use critical thinking to interpret results and write conclusions.
- Math 10A students will be able to apply counting techniques to solve combinatorics problems.
- Math 10A students will be able to solve applications of expected value.
Course Measurable Objectives (CMOs Effective through Summer 2024)
- Solve problems using inductive and deductive reasoning.
- Draw Venn diagrams to illustrate the relationship among sets.
- Analyze arguments using truth tables.
- Apply inductive and deductive reasoning skills to problem solve.
- Convert numerals from one base to another.
- Construct a linear model from a set of data points.
- Use counting methods to solve combinatorics problems.
- Determine the probability of events involving “not” and “or”.
- Construct a binomial probability distribution.
- Compare measures of central tendency.
- Calculate the standard deviation of a data set.
- Compare and interpret z-scores.
- Communicate effectively in mathematical language.
Course Measurable Objectives (CMOs Effective Beginning Fall 2024)
- Demonstrate problem solving techniques.
- Apply knowledge of properties and operations of set theory.
- Employ basic concepts of logic in using truth tables, arguments or Euler diagrams.
- Utilize the various counting methods.
- Solve probability problems using "and", "or", "not", conditional, and binomial.
- Analyze data using descriptive statistics and properties of the normal distribution.