Difference between revisions of "MAT1043"
m (→Introduction to Mathematics: Added link to catalog) |
Rylee.taylor (talk | contribs) (adding topics) |
||
Line 9: | Line 9: | ||
! Date !! Sections !! Topics !! Prerequisite Skills !! Student learning outcomes | ! Date !! Sections !! Topics !! Prerequisite Skills !! Student learning outcomes | ||
|- | |- | ||
− | | Week 1 || Lesson 1.A || | + | | Week 1 || Lesson 1.A || [[Data]] || Understand what is a learning community |
|| | || | ||
* Collect data from daily life | * Collect data from daily life | ||
*Work positively in a group to make a decision | *Work positively in a group to make a decision | ||
|- | |- | ||
− | | Week 1 || Lesson 1.B || | + | | Week 1 || Lesson 1.B || [[Learning Community]] || Example || Seek and give help to one another inside and outside of class |
|- | |- | ||
− | | Week 1 || Lesson 1.C || | + | | 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 |
|| | || | ||
* Create a first-degree equation involving percentages and solve for the variable | * Create a first-degree equation involving percentages and solve for the variable | ||
Line 22: | Line 22: | ||
|- | |- | ||
− | | Week 1 || Lesson 1.D || | + | | Week 1 || Lesson 1.D || [[Ranking methods]] || Example || Example |
|- | |- | ||
| Week 1 || Lesson 2.A || [[Graphical Display]] | | Week 1 || Lesson 2.A || [[Graphical Display]] | ||
Line 126: | Line 126: | ||
* 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 | ||
|- | |- | ||
− | | Example || Lesson 7.F || | + | | Example || 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 | ||
Line 133: | Line 133: | ||
* Compare mathematical relationships using a variety of representations | * Compare mathematical relationships using a variety of representations | ||
|- | |- | ||
− | | Example || Lesson 8.A || | + | | Example || 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 | ||
Line 142: | Line 142: | ||
* Write a linear equation given a slope and y intercept | * Write a linear equation given a slope and y intercept | ||
|- | |- | ||
− | | Example || Lesson 8.B || | + | | Example || Lesson 8.B || [[Proportionality vs. Linearity]] || Determine when 2 quantities are proportional || Explain, compare, and contrast linear and proportional relationships |
|- | |- | ||
− | | Example || Lesson 8.C || | + | | Example || Lesson 8.C || [[Simple and Compound Interest (Linear and Exponential Models)]] |
|| | || | ||
* Write a percentage as a decimal | * Write a percentage as a decimal | ||
Line 152: | Line 152: | ||
* Compare and contrast patterns in linear and exponential models | * Compare and contrast patterns in linear and exponential models | ||
|- | |- | ||
− | | Example || Lesson 8.D || | + | | Example || Lesson 8.D || [[Regression]] |
|| | || | ||
* Read a scatterplot | * Read a scatterplot | ||
Line 160: | Line 160: | ||
* 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 | ||
|- | |- | ||
− | | Example || Lesson 8.E || | + | | Example || Lesson 8.E || [[Piecewise Linear Function]] |
|| | || | ||
* Use a percentage rate to calculate tax | * Use a percentage rate to calculate tax | ||
Line 186: | Line 186: | ||
* Use variables with subscripts | * Use variables with subscripts | ||
|- | |- | ||
− | | Example || Lesson 9.C || | + | | Example || Lesson 9.C || [[Univariate, Bivariate, Correlation and Causation]] |
|| | || | ||
* Calculate measures of central tendency | * Calculate measures of central tendency | ||
Line 195: | Line 195: | ||
* Analyze data and related graphs and describe the trend of the data | * Analyze data and related graphs and describe the trend of the data | ||
|- | |- | ||
− | | Example || Lesson 9.D || | + | | Example || 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 |
|- | |- | ||
− | | Example || Lesson 10.A || | + | | Example || 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 | ||
|- | |- | ||
− | | Example || Lesson 10.B || | + | | Example || 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 | ||
Line 220: | Line 220: | ||
* 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 | ||
|- | |- | ||
− | | Example || Lesson 11.B || | + | | Example || Lesson 11.B || [[Carrying Capacity and Logistic Growth Rate]] |
|| | || | ||
* Calculate absolute and relative change | * Calculate absolute and relative change | ||
Line 228: | Line 228: | ||
* 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 | ||
|- | |- | ||
− | | Example || Lesson 11.C || | + | | Example || 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 |
|- | |- | ||
| Example || Lesson 11.D || [[Complex Population Growth and Decay Models]] | | Example || Lesson 11.D || [[Complex Population Growth and Decay Models]] |
Revision as of 13:22, 28 July 2020
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 | Example | 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.D | Ranking methods | Example | Example | |
Week 1 | Lesson 2.A | Graphical Display |
|
| |
Week 1 | 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 1 | Lesson 3.A | Sampling | Students should know the symbols for pop. Mean, sample mean, pop. Standard deviation, sample standard deviation |
| |
Week 1 | 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 | |
Example | 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 |
| |
Example | Lesson 4.A | Probability | Students should be able to convert between fractions, decimals, and percentages |
| |
Example | Lesson 4.B | Conditional Probability | Students should be able to determine a conditional probability | Calculate conditional probabilities for two or more dependent events | |
Example | Lesson 5.A | Conversions |
|
| |
Example | Lesson 5.B | Index numbers |
|
| |
Example | Lesson 5.C | Weighted averages | Should be able to calculate mean |
| |
Example | Lesson 5.D | Expected Value | Be able to calculate, percentages, means, and weighted averages
be able to find the mean of a data set |
| |
Example | Lesson 6.A | Weighted moving average graphs |
|
| |
Example | Lesson 6.B | Weighted moving average graphs continued |
|
| |
Example | Lesson 7.A | Ratios and percentages | Be able to write and simplify fractions, create a pie graph, convert fractions to percentages |
| |
Example | Lesson 7.B | Part-to-part ratios & Part-to-whole ratios | Example | Construct a pie graph based on ratios and percentages | |
Example | Lesson 7.C | Absolute change (additive reasoning) & Relative change (multiplicative reasoning) | Students should be able to create a line graph from data |
| |
Example | 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 | |
Example | Lesson 7.E | Debt-to-income (DTI) ratios | Be able to write ratios and proportions, solve proportions, calculate percentages from ratios |
| |
Example | Lesson 7.F | Proportional reasoning | Write rates, convert ratios to percentages |
| |
Example | Lesson 8.A | Mathematical (Linear) relationships |
|
| |
Example | Lesson 8.B | Proportionality vs. Linearity | Determine when 2 quantities are proportional | Explain, compare, and contrast linear and proportional relationships | |
Example | Lesson 8.C | Simple and Compound Interest (Linear and Exponential Models) |
|
| |
Example | Lesson 8.D | Regression |
|
| |
Example | Lesson 8.E | Piecewise Linear Function |
|
| |
Example | Lesson 9.A | Depreciation |
|
| |
Example | Lesson 9.B | Geometric interpretation of interpolation |
|
| |
Example | Lesson 9.C | Univariate, Bivariate, Correlation and Causation |
|
| |
Example | 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 | |
Example | Lesson 10.A | Time series model of exponential growth | Use formulas in spreadsheets |
| |
Example | Lesson 10.B | Linear and Exponential Models |
|
| |
Example | Lesson 11.A | Continuous Growth |
|
| |
Example | Lesson 11.B | Carrying Capacity and Logistic Growth Rate |
|
| |
Example | 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 | |
Example | Lesson 11.D | Complex Population Growth and Decay Models |
|
Develop a parameterized time series model with more than two dependent variables in a spreadsheet | |
Example | Lesson 11.E | Analyzing Complex Population Growth and Decay Models | Extract data from an academic article and create models for the data |
| |
Example | Lesson 12.A | Periodic Function |
|
| |
Example | Lesson 12.B | The Sine Function |
|
|