Syllabus for AQR

Advanced Quantitative Reasoning

2018-2019

Course Syllabus

  

Grading Policy

60% Major Assignments: Test, Reports, Projects

40% Minor Assignments: Classwork, Homework, Quizzes

**for specific details see district grading policy**
Grading Policy

 

Course Description and Objective

AQR is a fourth year mathematics course that equips students with a mathematical process to arrive at real- world decisions. In AQR, students will continue to build on the K-8, Algebra I, Algebra II, and Geometry foundations as well as expanding the understanding through other mathematical experiences. The primary focal points of AQR include the analysis of information using statistical methods and probability, modeling change and mathematical relationships, mathematical decision making in finance, and spatial and geometric modeling for decision making. In AQR, students learn to become critical consumers of the quantitative data that surround them every day, knowledgeable decision makers who use logical reasoning, and mathematical thinkers who can use their quantitative skills to solve problems related to a wide range of situations. They develop critical skills for success in college and careers, including investigation, research, collaboration, and both written and oral communication of their work, as they solve problems in many types of applied situations. As students work with these mathematical topics, they continually rely on mathematical processes, including problem- solving techniques, appropriate mathematical language and communications skills, connections within and outside mathematics and reasoning. Student will also use multiple representations, technology, applications and modeling, and numerical fluency in problem-solving context.

 

Course Sequence

Analyzing Numerical Data focuses on deepening your understanding of proportional reasoning and basic numerical calculations—such as ratios, rates, and percent’s—by applying them to settings in business, media, consumer, and other areas. Working with familiar mathematical tools and learning some new ones, students improve their ability to solve problems by applying appropriate strategies.

 

Probability focuses on the analysis of information using probability to make decisions about everyday situations. After determining the probability of various events, students expand their knowledge toward making decisions about the risks and mathematical fairness of these events.

 

Statistical Studies focuses on developing background statistical knowledge through the use of existing case studies and introducing students to the basic components of the design and implementation of statistical studies. After collecting and displaying data, students explore introductory techniques of statistical analysis. Students build the skills and vocabulary necessary to analyze and critique reported statistical information, summaries, and graphical displays; they prepare oral and written reports of these analyses.

 

Using recursion in Models and Decision Making focuses on analyzing data and finding rules to model the data. By looking at recursive models for bivariate data and relationships, students expand their set of tools for data analysis.

 

Using Functions in Models and Decision Making focuses on analyzing data and finding mathematical functions (rules) to model real-world data and contexts with functions.

 

Decision Making in Finance focuses on the financial decisions that surround borrowing, loaning, and investing money and how the time value of money affects such decisions. The overall goal of this unit is to provide future citizens with mathematical and financial tools they can use to plan wisely and use credit knowledgeably.

 

Networks and Graphs focuses on the creation of models that represent real-world contexts involving networks and graphs and the use of these networks and graphs to investigate real-world scheduling problems. In this unit, students extend their ability to solve abstract and concrete problems.

 

Required Materials:                                         Expectations:

*Loose leaf paper/Folder or Binder                * Be on time and prepared

*Pencil &colored pencils                               * Be respectful

*Scissors and Glue Sticks                              * No horse playing

* Composition Book                                      * Bring your supplies

                                                                  * Follow School Rules

 

 

Academic Dishonesty

 

All work that you turn in is to be your work; under no circumstances shall a student attempt to turn in work that is not their own. Cheating and plagiarism are serious crime committed in the classroom and will not be tolerated. Violators will receive a grade of zero on that assignment, and an office referral.