An exploration of child growth and development through observation and interaction with children 15 months through kindergarten age: child-rearing practices; effective caregivers; health, safety and nutrition; decision-making in family life; utilization of community resources.
An exploration of child growth and development through observation and interaction with children 15 months through kindergarten age: child-rearing practices; effective caregivers; health, safety and nutrition; decision-making in family life; utilization of community resources.
An exploration of child growth and development through observation and interaction with children 15 months through kindergarten age: child-rearing practices; effective caregivers; health, safety and nutrition; decision-making in family life; utilization of community resources.
An exploration of child growth and development through observation and interaction with children 15 months through kindergarten age: child-rearing practices; effective caregivers; health, safety and nutrition; decision-making in family life; utilization of community resources.
This course is an introduction to statistical thinking and processes, including methods and concepts for discovery and decision-making using data. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-squared, and t-tests; and application of technology for statistical analysis, including the interpretation of the relevance of the statistical findings. Students apply methods and processes to applications using data from a broad range of disciplines.
Complete both precalculus algebra and trigonometry by taking this single class.? Topics covered include real functions and their graphs; one-to-one and inverse functions; algebraic, exponential and logarithmic, and trigonometric functions; complex numbers and zeros of polynomials; matrices; transformations and conic sections; discrete mathematics; polar coordinates; and applications of trigonometric identities.
Foundations of Data Science combines an introductory look into the fundamental skills and concepts of computer programming and inferential statistics with hands-on experience in analyzing datasets by using common tools within the industry. Additionally, the course investigates ethical issues surrounding Data Science, such as data privacy.
A second course in single-variable calculus. Applications of integration, techniques of integration, numerical integration, indeterminate forms, improper integrals, parametrized curves, polar coordinates, infinite sequences and series, and power series.
First course in a three-semester calculus sequence, this course covers differential calculus through the study of limits, continuity, differentiation, applications of differentiation, and an introduction to integration.
Students will learn about the fashion industry, the social use of clothing, and modern fashion history through the people, events, politics, and cultures that have effected change.