Mathematics - Davar Academy
Descriptions and credit recommendations for all evaluated learning experiences
Varies (self-study, self-paced).
November 2016 - Present.
Upon successful completion of this learning experience, students will be able to: model and solve real world situations with quadratic expressions; make use of arithmetic, algebraic, geometric, higher order thinking, or statistical methods; represent and evaluate basic algebraic information; develop mathematical arguments using mathematical reasoning skills and logic to solve algebraic problems; use appropriate technology to enhance their own mathematical thinking understanding and solve algebraic problems and judge the reasonableness of the results; interpret algebraic models, such as formulas, graphs, tables or schematics, and draw inferences from them; and recognize the limitations of algebraic models.
This learning experience emphasizes techniques of problem-solving using algebraic concepts. Topics include: fundamental concepts of algebra, equations and inequalities, functions and graphs, and systems of equations; optional topics include sequences, series, and probability or analytic geometry. Applications in other fields such as finance, medicine, and environmental studies examined with respect to algebraic concepts. The course of study necessary to be prepared for the proctored proficiency examination consists of lessons based on the readings from the textbook. Students are encouraged to answer all the review questions and quizzes for each lesson.
In the lower division baccalaureate/associate degree category OR in the upper division baccalaureate degree category, 3 semester hours in Business or Math (11/16) (3/22 revalidation).
Varies (self-study, self-paced).
November 2016 - Present.
Upon successful completion of this learning experience, students will be able to: explain the usefulness of obtaining and analyzing data for making decisions and advancing knowledge; interpret the results of data collection and critique the quality of studies based upon issues of data collection; describe the prevalence of statistics in the advancement of knowledge and will be able to intelligently learn about reports about studies that involve statistical issues; apply basic data analytical techniques to uncover patterns and truths within data sets, and will understand the primary importance of data visualization; recognize that statistical inference is only meaningful within the context of a study; explain each step within a study, such as deciding how to collect data, clean data, build appropriate models, and assess and evaluate statistical models, in determining what conclusions can be drawn; apply the basic techniques of statistical inference to data, to interpret the results of a statistical analysis using the concepts of confidence intervals or tests of significance, and to assess when particular inferential procedures are appropriate; and communicate the results of statistical analyses or quantitative findings.
This learning experience focuses on using various graphical displays and measures of location and variability to describe data and considers elementary probability and sampling distributions, and uses the normal and t-distributions in estimation and hypotheses testing. It includes descriptive techniques for simple linear regression and correlation. Use of a graphing calculator is required and computer software may be used. The course of study necessary to be prepared for the proctored proficiency examination consists of lessons based on the readings from the textbook. Students are encouraged to answer all the review questions and quizzes for each lesson.
In the lower division baccalaureate/associate degree category OR in the upper division baccalaureate degree category, 4 semester hours in Accounting, Business, Economics, Finance, Human Resource Management, Management, or Math (11/16) (3/22 revalidation).
