This section builds on previous sections and provides engagement with more complex graphical displays. Topics include analyzing stacked and comparative stacked column graphs, motion bubble charts, and heat maps.  Some of the displays you encounter will be misleading or erroneous. You will also start from data and choose a way to model the data. You will be asked to draw conclusions and make decisions based on multiple pieces of quantitative information, and to write about those conclusions and decisions.

This section builds on previous sections and provides engagement with more complex graphical displays. Topics include analyzing stacked and comparative stacked column graphs, motion bubble charts, and heat maps.  Some of the displays you encounter will be misleading or erroneous. You will also start from data and choose a way to model the data. You will be asked to draw conclusions and make decisions based on multiple pieces of quantitative information, and to write about those conclusions and decisions.

This section on modeling includes distinguishing proportionality and linearity, using proportionality to estimate, interpolation and extrapolation, an informal introduction to piecewise linear functions, regression, correlation vs. causation, and relationship strength. Non-linear modeling topics include exponential growth and decay, logistic, predator-prey, cyclical/periodic, and the effect of parameter changes.

This section on modeling includes distinguishing proportionality and linearity, using proportionality to estimate, interpolation and extrapolation, an informal introduction to piecewise linear functions, regression, correlation vs. causation, and relationship strength. Non-linear modeling topics include exponential growth and decay, logistic, predator-prey, cyclical/periodic, and the effect of parameter changes.

This section on modeling includes distinguishing proportionality and linearity, using proportionality to estimate, interpolation and extrapolation, an informal introduction to piecewise linear functions, regression, correlation vs. causation, and relationship strength. Non-linear modeling topics include exponential growth and decay, logistic, predator-prey, cyclical/periodic, and the effect of parameter changes.

This section on modeling includes distinguishing proportionality and linearity, using proportionality to estimate, interpolation and extrapolation, an informal introduction to piecewise linear functions, regression, correlation vs. causation, and relationship strength. Non-linear modeling topics include exponential growth and decay, logistic, predator-prey, cyclical/periodic, and the effect of parameter changes.

This section is designed to support you in becoming an educated consumer of statistical information. Topics include observational and experimental studies and their conclusions, sampling processes, sampling and non-sampling errors, types of bias and how to minimize them, and appropriate conclusions. Additional topics include designing experimental studies, cause and effect, confounding variables, placebos and the placebo effect, blinding and double-blinding, and blocking.

This section is designed to support you in becoming an educated consumer of statistical information. Topics include observational and experimental studies and their conclusions, sampling processes, sampling and non-sampling errors, types of bias and how to minimize them, and appropriate conclusions. Additional topics include designing experimental studies, cause and effect, confounding variables, placebos and the placebo effect, blinding and double-blinding, and blocking.

With this graphic organizer, students can delve into questions about role, audience, format, and topic (RAFT) as part of their exploration of audience and purpose. Specifically, working through the writing RAFT strategy can help a student understand their role as a writer and how to most effectively communicate their ideas.

Author: Brandi Morley
Editor: Mary Landry, C. Anneke Snyder
Supervisor: Terri Pantuso

This assignment encourages students to make connections between text, visual images, and music.  By choosing visuals and music to accompany a specific scene/passage, students explore deeper meanings of the text and forge personal connections to the text, combining visuals they locate or construct themselves with music they like and that may have personal significance to them and applying both to textual passages.  Working with the text in this way uncovers deeper significance in and may make new meaning for the text in its connection to students’ own preferences and exploration, and this work encourages stronger memory of the text since it has been personalized and explored in these ways.This assignment may be performed by individual students, pairs, or small groups. The following directions and presentation use the novella The Awakening as a sample text to demonstrate a possible approach to this assignment.

Thank you for choosing the Dana Center Math Pathways (DCMP) Curriculum resource. The DCMP course programs are research-based and developed from the DCMP Curriculum Design Standards. To obtain the complete course, which includes instructional resources, rubrics, PowerPoints, and answer keys for the preview and practice assignments, you can visit the Dana Center Curriculum Resource Portal to request access. For a low-cost digital version that integrates seamlessly with most Learning Management Systems (LMS), you will need to fill out a Lumen Learning Online Homework Manager (OHM) request form. For any other questions, concerns, or support, please contact Charles A Dana Center danacenter@austin.utexas.edu. 

In these activities, students discover how the constant 𝑒 (Euler’s number) arises naturally whenapproximating an exponential function with a linear function. They use technology to confirm that at thepoint (0,1), the function 𝑓(𝑥) = 𝑥 + 1 is tangent to, and therefore a linear approximation of, 𝑔(𝑥) = ex.After confirming that, at 𝑥 = 0, the function 𝐿(𝑥) = 𝑥 + 1 is a linear approximation of 𝑓(𝑥) = 𝑒!, studentsuse this information to find more general approximations for exponential functions by scaling the input.These functions are applied to solving problems involving exponential growth and decay. Students alsodiscover how the constant 𝑒 arises naturally when modeling compound interest with increasingly frequentintervals of compounding. 

In these activities, function notation is introduced as a way to efficiently describe quantities and how theychange. Further, the importance of spending class time building a learning community and sharedresponsibility with each new group of students is encouraged. Students also practice using the functionnotation and immerse themselves in situations that have many changing quantities. Students will begin todevelop their own understanding of what a function is, what it is not, and how to identify functionrelationships. They will also continue to refine their strategies for recognizing function relationships andthink about the concept of a function in multiple representations. 

In these activities, students investigate rational functions near vertical asymptotes. The context is a modelfor the apparent height of a distant object. Models of the time to charge or discharge a cell phone batteryas a function of the charger current or screen size is used to investigate the output values of the functionnear its asymptotes. In the context of a model for the position of a shadow of a projectile, studentsencounter functions with removable discontinuities (corresponding to “holes”) and non-removablediscontinuities (corresponding to vertical asymptotes). Students develop strategies for determining thebehavior of rational functions near vertical asymptotes using algebra. 

In these activities, students understand that it is not always appropriate to use technology to graph rationalfunctions. They explore some of the problems that often arise when using technology to graph rationalfunction, and begin to understand why a hand-drawn graph is, at times, more appropriate than a computer-generated graph. These technology problems motivate the need for creating hand-drawn graphs and setthe stage for subsequent activities. Students also explore how to use technology to analyze rationalfunctions and to find extreme values. They set appropriate windows on their graphing technology to viewdifferent intervals of the graph to find local maxima and minima. Students create hand-drawn graphs withnon-constant scales that might better show all the features of a rational function, including those thatmight be difficult to see on a computer-generated graph. Students are introduced to an example of howrational functions are used in pharmacokinetics, a branch of pharmacology that studies substancesadministered to humans. Also, the equation for relativistic velocity is presented as supplemental contentand students use it to calculate observed velocities of objects traveling at speeds over 25% of the speed oflight.

In these activities, students begin to explore the inverse of a quadratic function. The inverse is thought ofas a function that “reverses” the process of the given quadratic function. Students refine theirunderstanding of inverse functions. They work with the formal definition of the inverse of a function, findinverses of linear functions, and encounter functions that do not have inverses. Also, students learn how todetermine a domain restriction in order to make a quadratic function one-to-one. They also learn to findthe inverse of the restricted function, such as finding the inverse of a square root function and making anappropriate domain restriction on the resulting quadratic function. Students are also introduced to theconcept of instantaneous rate of change, which they approximate by calculating average rates of changeover shorter and shorter time intervals. 

In these activities, students explore linear growth functions using information about different wildlifepopulations. Students learn key information about linear functions, such as slope, vertical intercept, andwhether the function is increasing or decreasing, using multiple representations. They also continue topractice using and interpreting function notation. Students will use multiple representations to interpretexponential functions as modeling growth or decline by an equal percentage over equal time periods.They also calculate the average rate of change of a function over a given interval. Students determine theperiod of a periodic function and will use the period to make predictions of future values of the function.Students continue to develop skills involving function notation, increasing/decreasing functions, andaverage rates of change. Students also determine whether given functions appear to be linear, exponential,or periodic, and then they make predictions based on their decisions, choosing among various strategies.Finally, students are introduced to study groups. In an active, collaborative learning environment, studentsare responsible for their own learning and for supporting the learning of others.

In these activities, students are introduced to piecewise-defined functions by having exploring the conceptof braking force and its relationship to the distance that a brake pedal is depressed. Within this context,students begin writing the equation of a piecewise-defined function using descriptions of its behavior overdifferent intervals. The activities also introduce students to an example of a logarithmic function. Studentsexplore this function by examining rates of change. Students use multiple representations of a logarithmicfunction (i.e., tables and graphs) in their investigations. The activities also continue to explore thelogarithmic relationship between the magnitude of an earthquake and the energy it releases. Studentscontinue to use multiple representations of a logarithmic function to investigate changes betweenindependent and dependent variables. They also show students that some functions may have less regularbehavior than other functions they’ve explored so far. All of the vocabulary and tools previouslyintroduced will still allow students to explore these functions, identify intervals where function valuesincrease and decrease, and calculate the average rate of change. 

In these activities, students investigate the logistic model for population growth. Unlike exponentialgrowth, the logistic model “levels off” at a carrying capacity. Therefore, the logistic model assumes thatthe surrounding environment can only support a certain population due to contextual constraints. Theequation associated with the logistic model contains exponential terms, similar to the models associatedwith Newton’s law of cooling/heating. Students will adjust a parameter of the model so it best matchesthe given data. The final model provides insight into the long-term behavior of the population. Studentsalso study logistic models, which lead to exponential equations that are algebraically more demanding tosolve than those in previous activities. 

In these activities, students develop and use a strategy to match an exponential function to existing data.Students are asked to determine an appropriate base, decay rate, and initial value (or scaling factor) of theexponential function and decide if the resulting model is reasonable. They continue to explore exponentialfunctions with a scenario involving an analog produce scale, which is typically encountered insupermarkets and outdoor farmer’s markets. Students will work with an unspecifiedfunction, which is oscillatory. They also examine the energy delivered by a defibrillator, which is acomposition of an exponential function with a power function. Composing these two functions yieldsanother exponential function that models the energy delivered by the defibrillator as a function of time.