MAT 1200 - SECONDARY EDUCATION MATHEMATICSSEMINAR

credits: 1.0
A course reviewing the material on the New York State Teacher Certification Exam Field 004: Mathematics. Exact topics discussed will be determined by a pretest taken on Study.com. Other topics will be included in an individualized study plan created with each student. Objectives: The New York State Teacher Certification Exam covers the following competencies. Students who successfully complete this course will have improved their ability to demonstrate their knowledge in these competencies. COMPETENCY 0001-NUMBER AND QUANTITY: The New York State mathematics teacher understands and extends concepts of number and quantity, from the properties of arithmetic operations involving real numbers through the properties of operations involving vector and matrix representations and complex numbers. COMPETENCY 0002-ALGEBRA: The New York State Mathematics teacher understands the use of numbers, symbols, operations, and conventions of notation that allow the creation, interpretation, and manipulation of algebraic expressions and equations, and uses them to model and solve mathematical and real-world problems. COMPETENCY 0003-FUNCTIONS: The New York State Mathematics teacher understands that functions are descriptions, often in the form of algebraic expressions, of situations in which one quantity depends on another, and that functions have many applications modeling nature and human society. COMPETENCY 0004-CALCULUS: The New York State Mathematics teacher understands the fundamental concepts of calculus and how techniques of calculus are essential in the modeling and solving of both mathematical and real-world problems. COMPETENCY 0005-GEOMETRY AND MEASUREMENT: The New York State Mathematics teacher understands the attributes and relationships of geometric objects in diverse contexts and applies the properties of measurement and dimension in modeling situations. COMPETENCY 0006-STATISTICS AND PROBABILITY: The New York State Mathematics teacher understands that information contained in data is often obscured by variability and uses statistical tools and knowledge of probability to make informed decisions that allow for this variability. Method of Instruction: Lecture, classroom activities, on-line learning. Method of Evaluation: This course will be graded out of a possible 200 points.

Prerequisite(s): Senior Standing in the Mathematics Major, Education Option.