Preparation for credit ESL courses. Training and practice in beginning academic reading, writing, listening, and speaking, with emphasis on language structure and vocabulary development for non-native speakers of English. Practice in reading informational and literary texts, and writing paragraphs and summaries. Language skills integrated on the basis of academic tasks and content.
Preparation for credit ESL courses. Beginning academic reading, writing, and grammar with an emphasis on language structure and vocabulary development for non-native speakers of English. Practice in reading informational and literary texts, and writing paragraphs. Language skills integrated on the basis of academic tasks and content.
Informal discussion on the growth and development of infants 8-14 months in an enriched play environment. Topics include physical/sensory-motor, social-emotional, cognitive and language development; influence of parenting styles; family life; and the infant's impact on the family.
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.
Descriptive statistics: organization of data, sample surveys, experiments and observational studies, measures of central tendency and dispersion, correlation, regression lines, and analysis of variance (ANOVA). Probability theory. Random variables: expected value, variance, independence, probability distributions, normal approximation. Sampling: sampling distributions, and statistical inference, estimating population parameters, interval estimation, standard tests of hypotheses.
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.