Difference between revisions of "MAT1043"
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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 |
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| Week 12 || Lesson 11.A || [[Continuous Growth]] | | Week 12 || Lesson 11.A || [[Continuous Growth]] |
Revision as of 10:15, 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 |
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Week 1 | Lesson 1.A | Data | Understand what is a learning community |
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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 |
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Week 2 | Lesson 1.D | Ranking methods | ||
Week 2 | Lesson 2.A | Graphical Display |
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Week 2 | Lesson 2.C | Analyzing graphical displays |
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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 |
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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 |
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Week 4 | Lesson 4.A | Probability | Students should be able to convert between fractions, decimals, and percentages |
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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 |
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Week 5 | Lesson 5.B | Index numbers |
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Week 5 | Lesson 5.C | Weighted averages | Should be able to calculate mean |
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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 |
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Week 6 | Lesson 6.A | Weighted moving average graphs |
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Week 6 | Lesson 6.B | Weighted moving average graphs continued |
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Week 6 | Lesson 7.A | Ratios and percentages | Be able to write and simplify fractions, create a pie graph, convert fractions to percentages |
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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 |
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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 |
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Week 8 | Lesson 7.F | Proportional reasoning | Write rates, convert ratios to percentages |
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Week 8 | Lesson 8.A | Mathematical (Linear) relationships |
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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) |
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Week 10 | Lesson 8.D | Regression |
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Week 10 | Lesson 8.E | Piecewise Linear Function |
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Week 10 | Lesson 9.A | Depreciation |
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Week 10 | Lesson 9.B | Geometric interpretation of interpolation |
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Week 11 | Lesson 9.C | Univariate, Bivariate, Correlation and Causation |
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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 |
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Week 12 | Lesson 10.B | Linear and Exponential Models |
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Week 12 | Lesson 11.A | Continuous Growth |
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Week 12 | Lesson 11.B | Carrying Capacity and Logistic Growth Rate |
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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 |
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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 |
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Week 14 | Lesson 12.A | Periodic Function |
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Week 15 | Lesson 12.B | The Sine Function |
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