BALDWIN WALLACE-Courses Reviewed and NOT Accepted COURSE NAME COURSE CREDIT Course Description NUMBER HOURS Principles in BIO 250/ 3 This course may be taken to partially satisfy the general curriculum requirement in either the Social Sciences or the Natural Sciences. An introduction to the study of the brain and behavior. In this course Neuroscience PSY 250 students will become familiar with recent advances in the growing field of Neuroscience as they consider how their brains work and how the nervous system grows, perceives, controls the body, sleeps, ages and responds to damage and disease. Crosslisted. Mathematics Modeling MTH 137 3 The course takes a numerical and modeling approach to the analysis of contextual-based mathematics with a de-emphasis on algebraic manipulations. Students utilize both paper-and-pencil and current & Quantitative Analysis technologies to further develop quantitative reasoning. Topics may include collecting, organizing, and interpreting sets of univariate data, fitting functions and graphs to bivariate data including linear and non-linear models, problem-solving, decision-making, probability and statistics. The focus is based with a high-level of student engagement.
BALDWIN WALLACE-Courses Reviewed and NOT Accepted COURSE NAME COURSE NUMBER CREDIT HOURS Course Description Principles in Neuroscience BIO 250/ PSY 250 3 This course may be taken to partially satisfy the general curriculum requirement in either the Social Sciences or the Natural Sciences. An introduction to the study of the brain and behavior. In this course students will become familiar with recent advances in the growing field of Neuroscience as they consider how their brains work and how the nervous system grows, perceives, controls the body, sleeps, ages and responds to damage and disease. Crosslisted. Mathematics Modeling & Quantitative Analysis MTH 137 3 The course takes a numerical and modeling approach to the analysis of contextual-based mathematics with a de-emphasis on algebraic manipulations. Students utilize both paper-and-pencil and current technologies to further develop quantitative reasoning. Topics may include collecting, organizing, and interpreting sets of univariate data, fitting functions and graphs to bivariate data including linear and non-linear models, problem-solving, decision-making, probability and statistics. The focus is with a high-level of student engagement. based
MOT%20Course%20Equivalency%20Chart.docx