Difference between revisions of "MAT1043"
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*Work positively in a group to make a decision | *Work positively in a group to make a decision | ||
|- | |- | ||
− | | Week 1 || Lesson 1.B || [[Learning Community]] || | + | | Week 1 || Lesson 1.B || [[Learning Community]] || || Seek and give help to one another inside and outside of class |
|- | |- | ||
| Week 1 || Lesson 1.C || [[First-degree equation involving percentages]] || Determine the original amount, given the percentage that a given number is of the original | | Week 1 || Lesson 1.C || [[First-degree equation involving percentages]] || Determine the original amount, given the percentage that a given number is of the original | ||
|| | || | ||
+ | * Understand the difference between the terms plurality and majority in an election | ||
* Create a first-degree equation involving percentages and solve for the variable | * Create a first-degree equation involving percentages and solve for the variable | ||
* Apply and justify selection strategies to election results and decisions about other issues | * Apply and justify selection strategies to election results and decisions about other issues | ||
− | + | * Multiple ranking methods can be employed to make decisions about other issues | |
+ | * Employ the "Instant Runoff" method to determine the winner of an election | ||
|- | |- | ||
− | | Week | + | | Week 2 || Lesson 1.D || [[Ranking methods]] || || |
+ | * Earning the most votes may not be sufficient to win an election | ||
+ | * Employ the Borda Count method to determine the winner of an election | ||
+ | * Apply and justify selection strategies to election results | ||
|- | |- | ||
− | | Week | + | | Week 2 || Lesson 2.A || [[Graphical Display]] |
|| | || | ||
* Be able to read and interpret graphical displays | * Be able to read and interpret graphical displays | ||
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* Construct a dot plot or histogram from data | * Construct a dot plot or histogram from data | ||
|- | |- | ||
− | | Week | + | | Week 2 || Lesson 2.C || [[Analyzing graphical displays]] |
− | + | || | |
+ | * Compare side-by-side graphical displays | ||
+ | * Be able to read and interpret graphical displays | ||
+ | || Write a contextual analysis of a graphic display in a formal paper including appropriate mathematical language and explanations | ||
|- | |- | ||
− | | Week | + | | Week 3 || Lesson 3.A || [[Sampling]] || Students should know the symbols for pop. Mean, sample mean, pop. Standard deviation, sample standard deviation |
|| | || | ||
* Explain the difference between populations and samples | * Explain the difference between populations and samples | ||
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* Analyze the conclusions of a study and explain the limitations on inferences made | * Analyze the conclusions of a study and explain the limitations on inferences made | ||
|- | |- | ||
− | | Week | + | | Week 3 || Lesson 3.B || [[Mean and Central Limit Theorem]] || Students should know how to determine the mean of a data set || Graph sample means and use the central limit theorem to estimate the population mean |
|- | |- | ||
− | | | + | | Week 3 || Lesson 3.C || [[Standard Deviation]] || Students should be able to calculate the size of a portion given the size of the whole and a percentage |
|| | || | ||
* Use standard deviation to interpret the spread of a data set | * Use standard deviation to interpret the spread of a data set | ||
* Calculate the percentage of data in a graph region | * Calculate the percentage of data in a graph region | ||
− | |||
|- | |- | ||
− | | | + | | Week 4 || Lesson 4.A || [[Probability]] |
|| Students should be able to convert between fractions, decimals, and percentages || | || Students should be able to convert between fractions, decimals, and percentages || | ||
* Calculate theoretical probability of two or more independent events | * Calculate theoretical probability of two or more independent events | ||
* Calculate AND and OR probabilities for independent events | * Calculate AND and OR probabilities for independent events | ||
− | |||
|- | |- | ||
− | | | + | | Week 4 || Lesson 4.B || [[Conditional Probability]] || Students should be able to determine a conditional probability || Calculate conditional probabilities for two or more dependent events |
|- | |- | ||
− | | | + | | Week 5 || Lesson 5.A || [[Conversions]] |
|| | || | ||
* Be able to calculate unit ratios | * Be able to calculate unit ratios | ||
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* Use conversion to make comparisons | * Use conversion to make comparisons | ||
|- | |- | ||
− | | | + | | Week 5 || Lesson 5.B || [[Index numbers]] |
|| | || | ||
* Be able to convert ratios to decimals and percentages, and divide | * Be able to convert ratios to decimals and percentages, and divide | ||
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* Make and justify decisions and evaluate claims using index numbers | * Make and justify decisions and evaluate claims using index numbers | ||
|- | |- | ||
− | | | + | | Week 5 || Lesson 5.C || [[Weighted averages]] || Should be able to calculate mean |
|| | || | ||
* Calculate weighted averages | * Calculate weighted averages | ||
* Use weighted averages to analyze data and draw conclusions about the data | * Use weighted averages to analyze data and draw conclusions about the data | ||
|- | |- | ||
− | | | + | | Week 6 || Lesson 5.D || [[Expected Value]] || Be able to calculate, percentages, means, and weighted averages |
be able to find the mean of a data set | be able to find the mean of a data set | ||
|| | || | ||
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* Make predictions about real world scenarios | * Make predictions about real world scenarios | ||
|- | |- | ||
− | | | + | | Week 6 || Lesson 6.A || [[Weighted moving average graphs]] |
|| | || | ||
* Weighted moving average | * Weighted moving average | ||
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|| | || | ||
* Calculate and compare simple and weighted moving averages | * Calculate and compare simple and weighted moving averages | ||
− | * Analyze graphs of moving average data | + | * Analyze graphs of moving average data |
+ | * Use simple and moving weighted averages to analyze data and draw conclusions about the data | ||
|- | |- | ||
− | | | + | | Week 6 || Lesson 6.B || [[Weighted moving average graphs continued]] |
|| | || | ||
* Weighted moving average | * Weighted moving average | ||
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* Write a ratio or percentage and explain its meaning within a context | * Write a ratio or percentage and explain its meaning within a context | ||
|- | |- | ||
− | | | + | | Week 6 || Lesson 7.A || [[Ratios and percentages]] || Be able to write and simplify fractions, create a pie graph, convert fractions to percentages |
|| | || | ||
* Determine percentages based on part-to-whole ratios | * Determine percentages based on part-to-whole ratios | ||
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* Read a budget, determine values of line items, and draw conclusions about the overall distributions of funds | * Read a budget, determine values of line items, and draw conclusions about the overall distributions of funds | ||
|- | |- | ||
− | | | + | | Week 7 || Lesson 7.B || [[Part-to-part ratios & Part-to-whole ratios]] || |
+ | * Convert ratios to percentages | ||
+ | * Sketch pie graphs using part-to-whole percentages | ||
+ | || Construct a pie graph based on ratios and percentages | ||
|- | |- | ||
− | | | + | | Week 7 || Lesson 7.C || [[Absolute change (additive reasoning) & Relative change (multiplicative reasoning)]] || Students should be able to create a line graph from data |
|| | || | ||
* Analyze data in a spreadsheet and graphs | * Analyze data in a spreadsheet and graphs | ||
* Develop reasonable hypothesis supported by evidence | * Develop reasonable hypothesis supported by evidence | ||
* Create line graphs and describe patterns in graphs | * Create line graphs and describe patterns in graphs | ||
+ | * Analyze and describe data using absolute (additive) comparison and relative (multiplicative) reasoning | ||
|- | |- | ||
− | | | + | | Week 7 || Lesson 7.D || [[Adjusting claims and hypothesis]] || Students should be able to create a line graph from data || Analyze data in a spreadsheet and graphs to compare changes in categories |
|- | |- | ||
− | | | + | | Week 8 || Lesson 7.E || [[Debt-to-income (DTI) ratios]] || Be able to write ratios and proportions, solve proportions, calculate percentages from ratios |
+ | || | ||
* Calculate a DTI ratio | * Calculate a DTI ratio | ||
* Draw conclusions from DTI about the appropriateness of the percentage of income spent on housing and debt | * Draw conclusions from DTI about the appropriateness of the percentage of income spent on housing and debt | ||
|- | |- | ||
− | | | + | | Week 8 || Lesson 7.F || [[Proportional reasoning]] || Write rates, convert ratios to percentages |
|| | || | ||
* Interpret ratios and percentages as rates of change | * Interpret ratios and percentages as rates of change | ||
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* Compare mathematical relationships using a variety of representations | * Compare mathematical relationships using a variety of representations | ||
|- | |- | ||
− | | | + | | Week 8 || Lesson 8.A || [[Mathematical (Linear) relationships]] |
|| | || | ||
* Be able to plot ordered pairs, sketch graphs of linear equations, construct a linear equation given the slope and y intercept | * Be able to plot ordered pairs, sketch graphs of linear equations, construct a linear equation given the slope and y intercept | ||
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* Write a linear equation given a slope and y intercept | * Write a linear equation given a slope and y intercept | ||
|- | |- | ||
− | | | + | | Week 9 || Lesson 8.B || [[Proportionality vs. Linearity]] || Determine when 2 quantities are proportional || Explain, compare, and contrast linear and proportional relationships |
|- | |- | ||
− | | | + | | Week 9 || Lesson 8.C || [[Simple and Compound Interest (Linear and Exponential Models)]] |
|| | || | ||
* Write a percentage as a decimal | * Write a percentage as a decimal | ||
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* Compare and contrast patterns in linear and exponential models | * Compare and contrast patterns in linear and exponential models | ||
|- | |- | ||
− | | | + | | Week 10 || Lesson 8.D || [[Regression]] |
|| | || | ||
* Read a scatterplot | * Read a scatterplot | ||
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* Interpret the parameters (slope, y-intercept, coefficient of determination) of a simple linear regression | * Interpret the parameters (slope, y-intercept, coefficient of determination) of a simple linear regression | ||
|- | |- | ||
− | | | + | | Week 10 || Lesson 8.E || [[Piecewise Linear Function]] |
|| | || | ||
* Use a percentage rate to calculate tax | * Use a percentage rate to calculate tax | ||
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* Compare a progressive income tax system to a flat tax system and explain advantages and disadvantages of different income tax systems | * Compare a progressive income tax system to a flat tax system and explain advantages and disadvantages of different income tax systems | ||
|- | |- | ||
− | | | + | | Week 10 || Lesson 9.A || [[Depreciation]] |
|| | || | ||
* Graph ordered pairs | * Graph ordered pairs | ||
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* Use a symbolic model to find the exact value of one variable, given the value of the other variable, and relate those values to the context of the problem | * Use a symbolic model to find the exact value of one variable, given the value of the other variable, and relate those values to the context of the problem | ||
|- | |- | ||
− | | | + | | Week 10 || Lesson 9.B || [[Geometric interpretation of interpolation ]] |
|| | || | ||
* Graph data from a scenario | * Graph data from a scenario | ||
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* Use variables with subscripts | * Use variables with subscripts | ||
|- | |- | ||
− | | | + | | Week 11 || Lesson 9.C || [[Univariate, Bivariate, Correlation and Causation]] |
|| | || | ||
* Calculate measures of central tendency | * Calculate measures of central tendency | ||
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* Analyze data and related graphs and describe the trend of the data | * Analyze data and related graphs and describe the trend of the data | ||
|- | |- | ||
− | | | + | | Week 11 || Lesson 9.D || [[Univariate, Bivariate, Correlation and Causation]] || Create and interpret a scatterplot || Explain why, even if there is a strong correlation, a change in one variable may not cause a change in the other |
|- | |- | ||
− | | | + | | Week 11 || Lesson 10.A || [[Time series model of exponential growth]] || Use formulas in spreadsheets |
|| | || | ||
* Develop a time series model for the Fibonacci problem | * Develop a time series model for the Fibonacci problem | ||
* Test whether data are exponential by comparing the rate of growth to the population size | * Test whether data are exponential by comparing the rate of growth to the population size | ||
|- | |- | ||
− | | | + | | Week 12 || Lesson 10.B || [[Linear and Exponential Models]] |
|| | || | ||
* Create a table of values and scatterplot in a spreadsheet | * Create a table of values and scatterplot in a spreadsheet | ||
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* Evaluate the mathematical appropriateness of a model give historical data | * Evaluate the mathematical appropriateness of a model give historical data | ||
* Determine whether a data set suggests a linear or exponential relationship | * Determine whether a data set suggests a linear or exponential relationship | ||
− | * | + | * Identify and use an appropriate model to predict a future outcome |
|- | |- | ||
− | | | + | | Week 12 || Lesson 11.A || [[Continuous Growth]] |
|| | || | ||
* Analyze the relationship of input and output values in a problem situation | * Analyze the relationship of input and output values in a problem situation | ||
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* Identify behavior in a graph, draw conclusions about the behavior, and predict future outcomes | * Identify behavior in a graph, draw conclusions about the behavior, and predict future outcomes | ||
|- | |- | ||
− | | | + | | Week 12 || Lesson 11.B || [[Carrying Capacity and Logistic Growth Rate]] |
|| | || | ||
* Calculate absolute and relative change | * Calculate absolute and relative change | ||
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* Calculate the carrying capacity and logistic growth rate of a real-world scenario | * Calculate the carrying capacity and logistic growth rate of a real-world scenario | ||
|- | |- | ||
− | | | + | | Week 13 || Lesson 11.C || [[Logistic Growth Model]] || Determine the increasing and/or decreasing behavior of outputs in a table || Explore the changes of the values of the parameters of a logistic growth model and describe the effect of those changes on the model |
|- | |- | ||
− | | | + | | Week 13 || Lesson 11.D || [[Complex Population Growth and Decay Models]] |
|| | || | ||
* Find the constant of proportionality and express variables that are jointly proportional | * Find the constant of proportionality and express variables that are jointly proportional | ||
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|| Develop a parameterized time series model with more than two dependent variables in a spreadsheet | || Develop a parameterized time series model with more than two dependent variables in a spreadsheet | ||
|- | |- | ||
− | | | + | | Week 14 || Lesson 11.E || [[Analyzing Complex Population Growth and Decay Models]] || Extract data from an academic article and create models for the data |
|| | || | ||
* Determine parameters to match a model’s predictions against historical data | * Determine parameters to match a model’s predictions against historical data | ||
* Create a spreadsheet involving the formulas of the model to predict future behavior | * Create a spreadsheet involving the formulas of the model to predict future behavior | ||
− | |||
|- | |- | ||
− | | | + | | Week 14 || Lesson 12.A || [[Periodic Function]] |
|| | || | ||
* Plot points on coordinate axis | * Plot points on coordinate axis | ||
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* Compare and contrast the graphs of different periodic models | * Compare and contrast the graphs of different periodic models | ||
|- | |- | ||
− | | | + | | Week 15 || Lesson 12.B || [[The Sine Function]] |
|| | || | ||
* Plot points on a graph | * Plot points on a graph |
Latest revision as of 10:36, 15 April 2022
Introduction to Mathematics
MAT 1043. Introduction to Mathematics. (3-0) 3 Credit Hours. (TCCN = MATH 1332)
Prerequisite: Satisfactory performance on a placement examination. This course is designed primarily for the liberal arts major to satisfy the Core Curriculum mathematics requirement. Topics may include logic; proofs; deductive and inductive reasoning; number theory; fundamentals of statistics; basic statistical graphs; causal connections; financial management; functions; linear graphs and modeling; exponential growth and decay; logarithms; fundamentals of probability; fundamentals of geometry; and basic ideas from trigonometry, calculus, and discrete mathematics. (Formerly MTC 1043. Credit cannot be earned for both MAT 1043 and MTC 1043.) May apply toward the Core Curriculum requirement in Mathematics. Generally offered: Fall, Spring, Summer. Course Fees: LRC1 $12; LRS1 $45; STSI $21.
Date | Sections | Topics | Prerequisite Skills | Student learning outcomes |
---|---|---|---|---|
Week 1 | Lesson 1.A | Data | Understand what is a learning community |
|
Week 1 | Lesson 1.B | Learning Community | Seek and give help to one another inside and outside of class | |
Week 1 | Lesson 1.C | First-degree equation involving percentages | Determine the original amount, given the percentage that a given number is of the original |
|
Week 2 | Lesson 1.D | Ranking methods |
| |
Week 2 | Lesson 2.A | Graphical Display |
|
|
Week 2 | Lesson 2.C | Analyzing graphical displays |
|
Write a contextual analysis of a graphic display in a formal paper including appropriate mathematical language and explanations |
Week 3 | Lesson 3.A | Sampling | Students should know the symbols for pop. Mean, sample mean, pop. Standard deviation, sample standard deviation |
|
Week 3 | Lesson 3.B | Mean and Central Limit Theorem | Students should know how to determine the mean of a data set | Graph sample means and use the central limit theorem to estimate the population mean |
Week 3 | Lesson 3.C | Standard Deviation | Students should be able to calculate the size of a portion given the size of the whole and a percentage |
|
Week 4 | Lesson 4.A | Probability | Students should be able to convert between fractions, decimals, and percentages |
|
Week 4 | Lesson 4.B | Conditional Probability | Students should be able to determine a conditional probability | Calculate conditional probabilities for two or more dependent events |
Week 5 | Lesson 5.A | Conversions |
|
|
Week 5 | Lesson 5.B | Index numbers |
|
|
Week 5 | Lesson 5.C | Weighted averages | Should be able to calculate mean |
|
Week 6 | Lesson 5.D | Expected Value | Be able to calculate, percentages, means, and weighted averages
be able to find the mean of a data set |
|
Week 6 | Lesson 6.A | Weighted moving average graphs |
|
|
Week 6 | Lesson 6.B | Weighted moving average graphs continued |
|
|
Week 6 | Lesson 7.A | Ratios and percentages | Be able to write and simplify fractions, create a pie graph, convert fractions to percentages |
|
Week 7 | Lesson 7.B | Part-to-part ratios & Part-to-whole ratios |
|
Construct a pie graph based on ratios and percentages |
Week 7 | Lesson 7.C | Absolute change (additive reasoning) & Relative change (multiplicative reasoning) | Students should be able to create a line graph from data |
|
Week 7 | Lesson 7.D | Adjusting claims and hypothesis | Students should be able to create a line graph from data | Analyze data in a spreadsheet and graphs to compare changes in categories |
Week 8 | Lesson 7.E | Debt-to-income (DTI) ratios | Be able to write ratios and proportions, solve proportions, calculate percentages from ratios |
|
Week 8 | Lesson 7.F | Proportional reasoning | Write rates, convert ratios to percentages |
|
Week 8 | Lesson 8.A | Mathematical (Linear) relationships |
|
|
Week 9 | Lesson 8.B | Proportionality vs. Linearity | Determine when 2 quantities are proportional | Explain, compare, and contrast linear and proportional relationships |
Week 9 | Lesson 8.C | Simple and Compound Interest (Linear and Exponential Models) |
|
|
Week 10 | Lesson 8.D | Regression |
|
|
Week 10 | Lesson 8.E | Piecewise Linear Function |
|
|
Week 10 | Lesson 9.A | Depreciation |
|
|
Week 10 | Lesson 9.B | Geometric interpretation of interpolation |
|
|
Week 11 | Lesson 9.C | Univariate, Bivariate, Correlation and Causation |
|
|
Week 11 | Lesson 9.D | Univariate, Bivariate, Correlation and Causation | Create and interpret a scatterplot | Explain why, even if there is a strong correlation, a change in one variable may not cause a change in the other |
Week 11 | Lesson 10.A | Time series model of exponential growth | Use formulas in spreadsheets |
|
Week 12 | Lesson 10.B | Linear and Exponential Models |
|
|
Week 12 | Lesson 11.A | Continuous Growth |
|
|
Week 12 | Lesson 11.B | Carrying Capacity and Logistic Growth Rate |
|
|
Week 13 | Lesson 11.C | Logistic Growth Model | Determine the increasing and/or decreasing behavior of outputs in a table | Explore the changes of the values of the parameters of a logistic growth model and describe the effect of those changes on the model |
Week 13 | Lesson 11.D | Complex Population Growth and Decay Models |
|
Develop a parameterized time series model with more than two dependent variables in a spreadsheet |
Week 14 | Lesson 11.E | Analyzing Complex Population Growth and Decay Models | Extract data from an academic article and create models for the data |
|
Week 14 | Lesson 12.A | Periodic Function |
|
|
Week 15 | Lesson 12.B | The Sine Function |
|
|