COURSE TITLE: Math Analysis

GRADE LEVEL: 11-12

CODE: MAD501

COURSE LENGTH: 36 weeks

 

 

Major Concepts/Content: This course will involve students in units and topics of study of operations with functions and equations, circular functions, vectors, applications of matrices, complex and polar coordinates, recursion, advanced proof ideas, rates and areas, statistical interference, algebra and algorithms.  Problem solving in real world applications involving these units of study will be the beginning and focal points of lessons. Connections will be made of graphs with equations with real world situations.  Reasoning in trigonometry, probability, discrete math, mathematical structure, and the conceptual underpinnings of calculus is a major emphasis in this course.

Major Instructional Activities:  Students will be involved in communicating ideas through conjecture and validation of thinking in functions, models, matrices, probability, and statistics.  They will be engaged in cooperative groups, whole class settings, or individually to reinforce concepts in functions, polar coordinates, advanced proof ideas, and algebraic algorithms.  Students should have access to graphing calculators at all times.

Major Evaluative Techniques: Many evaluative processes will be used to assess students' written and oral work.  These include multiple-choice, short-answer, discussion, or open-ended questions; structured or open-ended interview; homework; projects; journals; essays; dramatization; and class presentations.  Testing formats will include restricted-time written tests, two-staged tests, take-home tests, oral tests and student-produced tests.   Assessment methods can be supplemented by student-produced analysis of problem situations, solutions to problems, reports on investigations and journal entries.  Calculators should be available in most assessment situations.

Essential Expectations: Upon successful completion of the mathematical analysis course, the student should be able to:

CLUSTERS AND PATHWAYS

This course can be used to partially satisfy the requirements for an endorsement in the following pathways. 

Cluster

Pathway

Required/Recommended/Related

Architecture & Construction

Design/Pre-Construction

Recommended

Information Technology

Programming/Software Engineering

Related

Manufacturing

Manufacturing Production Process Development

Recommended

Science, Technology, Engineering & Math

Engineering & Technology

Recommended

 

 

 

 

 

 

 

Last Revised: April 17, 2007