The two-tiered strategy of the Math Learning Communities consists of two levels of innovative and integrated math courses:
Algebra 2: Functions, Modeling, and Quantitative Reasoning – This course provides students with the tools to develop a strong foundation in mathematical reasoning, analysis, and problem-solving, with an emphasis on real-world applications, and serves as preparation for ongoing study of higher-level mathematics. Breaking from traditional methods of instruction, asset-based and modeling learning strategies will lead students to explore, discover, and master essential concepts of functions and modeling including linear, quadratic, radical, polynomial, exponential, logarithmic, and rational functions. Students will expand their ability to reason quantitatively through an introduction to probability and statistics; number theory; and geometry and measurement. Problem solving and critical thinking skills, along with the use of technology, will be emphasized and reinforced throughout the course as students become actively involved in solving applied problems. Social-emotional learning (SEL) strategies are integrated to foster a supportive and collaborative classroom environment, helping students build resilience, confidence, and effective communication and academic skills while mastering mathematical concepts.
Statistics I: An Introduction to Statistical Reasoning – Recognizing that data and variability impact our daily decisions, Statistics I: An Introduction to Statistical Reasoning focuses on developing statistical literacy through an investigative process of problem-solving and decision-making. Students participate in the statistical process by formulating questions, analyzing data, and interpreting results, learning to become critical consumers of statistical information. The course introduces students to descriptive and inferential statistics. Topics include statistical distributions, linear regression and correlation, surveys and experiments, sampling distributions, probability, confidence intervals and hypothesis testing. A variety of statistical tools and software are used to explore concepts and deepen students’ conceptual understanding of the topics. Social-emotional learning (SEL) strategies are integrated to foster a supportive and collaborative classroom environment, helping students build resilience, confidence, and effective communication and academic skills while mastering mathematical concepts. This course is offered for high school credit and college credit through the Early College program at the Community College System of New Hampshire. This course can be taken through all 3 CCSNH Early College modalities, including Early College At Your School, Early College On a College Campus, and Early College Online.