This is an adaptive credit recovery course, in which students will complete a pretest for each module, and will be exempted from activities for topics where mastery is demonstrated. This type of credit recovery course targets individual areas of need in the curriculum and minimizes repetition of content where students have demonstrated their understanding.
Students expand their exposure to the world of Algebra by developing the building blocks needed to dive deeper into trigonometry, pre-calculus and advanced probability and statistics. Students will develop a comprehensive understanding of Algebra 2.
Major topics include:
- Sequences and Series
- Probability and Statistics
- Conic Sections
Students learn through online lesson activities, videos, and interactive activities. Each module begins with a pretest, proceeds to lessons that conclude with a brief self-check, and wraps with a module exam. The course concludes with a cumulative exam.
This course uses content from Accelerate Education taught by a VHS Learning instructor who is certified in their content area and who follows VHS Learning policies. The course will be hosted in the Buzz learning management system. Students may spend 40 hours completing this course, though actual time-spent will vary based on individual student performance in module pretests.
Credit recovery courses do not meet initial eligibility requirements for NCAA. Students who require flexible courses meeting initial eligibility requirements should consider VHS Learning self-paced courses, which can be found in the VHS Learning Catalog.
Course Essential Questions:
- What tools do we need to describe and communicate about quantitative relationships?
- How can we create and use a mathematical model to plan for the future?
- How can we communicate about an event using a graphical model?
- How can quantitative relationships be identified through processing and graphing data?
- How can functions be used to model and predict change?
- What problems are best solved using a system of equations and when can they be modeled using graphs?
Course Learning Objectives:
- Construct models to solve real-world problems.
- Develop mathematical reasoning needed to start writing proofs.
- Evaluate effective methods utilizing probability and statistics to analyze data.
- Analyze, write and graph conic functions.
- Extend knowledge of trigonometric functions and their applications