Quantitative and Logical Reasoning Trail Marker Learning Outcomes
Students will gain and apply quantitative and logical reasoning through a variety of paths in the Bethany College Curriculum.
By the end of a course in quantitative reasoning, students will
- Formulate, evaluate, and communicate conclusions and inferences from quantitative or symbolic information across disciplines
- Formulate: set up a problem/program to model the given information
- Evaluate: identify/use proper techniques for formulated scenario
- Communicate: recognize the appropriateness of the solution, interpret the solution in context
- Assumptions: analyzes a proper selection of assumptions
- Apply effective and efficient mathematical processes to reason and solve problems across disciplines
- Accuracy: the problem is done correctly
- Efficiency: the problem is done clearly
- Propriety: the techniques are reasonable and correct
Bethany College Mathematics Placement Exam
As quantitative literacy skills are cumulative, there are prerequisites for a number of quantitative literacy courses. These prerequisites are based on the student’s performance on best practices and standardized examination scores. Appeals of mathematics placement level can be directed to the placement coordinator and replacement examinations can be scheduled during the first week of each semester. Courses open to students with initial mathematics placement into each level are as follows:
LEVEL I [representative of an ACTM score of 17 or below or an SATM score of 450 or below] FDST 097 (Fundamentals of Mathematics)
LEVEL II [representative of an ACTM score of 20-22 or an SATM score of 510-560] MATH 103 (College Algebra), MATH 281 (Statistical Methods I) Students scoring below the Level II benchmark and above the Level I benchmark must enroll in support course, MATH 103X or MATH 281X to accompany the Level II course for credit to be received.
LEVEL III [representative of an ACTM score of 23-26 or an SATM score of 570-630] MATH 105 (Precalculus), MATH 210 (Discrete Mathematics), MATH 250 (Mathematics for Elementary Education)
LEVEL IV [representative of an ACTM score of 27 or above or an SATM score of 640 or above] BUSI 205 (Quantitative Methods in Business), ECON 205 (Quantitative Methods in Economics), MATH 201 (Calculus I) It should be noted that students may not enroll in a course below their placement level, either
Course Satisfying the Trail Marker
CPSC 107 Introduction to Computing
CPSC 151 Computer Science I
CPSC 210 Discrete Mathematics
MATH 103 College Algebra
MATH 105 Precalculus
MATH 170 Connections in Mathematical Understanding
MATH 230 History of Mathematics
MATH 201 Calculus I
MATH 202 Calculus II
MATH 210 Discrete Mathematics
MATH 281 Statistical Methods
PSYC 205 Statistics in Psychology I