Math / Computer Science

Course Description: The purpose of this course is to extend students* understanding of functions and the real numbers, and to increase the tools students have for modeling the real world. The course will focus on the four critical areas of the Common Core model pathway for Algebra II: functions, polynomials, periodic phenomena and collecting and analyzing data and will begin with a review of some topics from the CC Algebra I course to solidify a foundation for learning new functions for further study in mathematics (College Algebra, Calculus, etc).

Students will engage in cooperative group investigations, partner collaboration and individual work to enhance their conceptual understanding of the key concepts presented in the course, while incorporating the Common Core Math Practice Standards:

• Make sense of problems and persevere in solving them
• Reason abstractly and quantitatively
• Construct viable arguments and critique the reasoning of others
• Model with mathematics
• Use appropriate tools strategically
• Attend to precision
• Look for and make use of structure
• Look for and express regularity in repeated reasoning

• To help deepen an understanding of the fundamental concepts of Algebra, Geometry and Trigonometry.
• To use Algebra and Trigonometry to model problems.
• To develop reasoning skills by solving problems that connect mathematical ideas to each other and to other disciplines.

This course is designed to emphasize the study of the properties and applications of common geometric figures in two and three dimensions. It includes the study of transformations and right triangle trigonometry. Inductive and deductive thinking skills are used in problem solving situations, and applications to the real world are stressed. It also emphasizes writing proofs to solve (prove) properties of geometric figures.

Units of Study: Basics of Geometry; Segments and Angles; Parallel and Perpendicular Lines; Triangle Relationships; Congruent Triangles; Quadrilaterals; Similarity; Transformations; Right Triangles and Trigonometry; Polygons and Area; Surface Area and Volume; and Circles

Course Resources: Students are required to come to class prepared. Pencil, Notebook, Highlighters/Colored Pencils, etc. Pens and looseleaf paper is discouraged as individual papers can become lost and errors can’t be erased. A notebook will organize all information in one location.

Grading Policy: Students will be graded on a 60% Assessment, 40% Classwork scale. Assessments will be in the form of tests, quizzes, midterms, finals but may also include projects, and other forms of inquiry where students must demonstrate individual knowledge. Classwork encompasses all assignments that are to be completed while in school which is not limited to textbook questions, worksheets, Khan Academy, participation, and group work.

Classroom Rules: Rule #1- Be Respectful *Follow directions the first time.* *No teasing, cursing, sleeping or horseplay in class. *One Mic*. Rule #2 - Be Prompt *Be seated with notebooks out when the bell rings*. Rule #3 Be Prepared *Bring a pencil, notebook, and highlighters to class every day.

Parent Contact: Mandatory parent outreach if you are scoring below a 75%. If you are not completing classwork assignments during the week, your parent will be contacted. If you fail a test you will have the opportunity to do corrections the following class during lunch. If you do not show up to do corrections, your parent will be called.

Computer Science Discoveries (CS Discoveries) is an introductory computer science course that empowers students to create authentic artifacts and engage with computer science as a medium for creativity, communication, problem solving, and fun.

Unit 1 - Problem Solving and Computing

Unit 2 - Web Development

Unit 3 - Interactive Animations and Games

Unit 4 - The Design Process

Unit 5 - Data and Society

Unit 6 - Physical Computing

Unit 7 - AI and Machine Learning

Course Description: AP Computer Science introduces students to computer science through programming. Fundamental topics in this course include the design of solutions to problems, the use of data structures to organize large sets of data, the development and implementation of algorithms to process data and discover new information, the analysis of potential solutions, and the ethical and social implications of computing systems. The course emphasizes object-oriented programming and design using the Java programming language.