Difference between revisions of "MAT1043"
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==Introduction to Mathematics== | ==Introduction to Mathematics== | ||
− | MAT 1043. Introduction to Mathematics. (3-0) 3 Credit Hours. (TCCN = MATH 1332) | + | [https://catalog.utsa.edu/search/?P=MAT%201043 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. | 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. |
Revision as of 09:01, 27 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 | |
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Week 1 | Lesson 1.A | Example | Understand what is a learning community |
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Week 1 | Lesson 1.B | Example | Example | Seek and give help to one another inside and outside of class | |
Week 1 | Lesson 1.C | Example | Determine the original amount, given the percentage that a given number is of the original |
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Week 1 | Lesson 1.D | Example | Example | Example | |
Week 1 | Lesson 2.A | Graphical Display |
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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 |
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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 |
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Example | Lesson 4.A | Probability | Students should be able to convert between fractions, decimals, and percentages |
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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 |
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Example | Lesson 5.B | Index numbers |
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Example | Lesson 5.C | Weighted averages | Should be able to calculate mean |
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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 |
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Example | Lesson 6.A | Weighted moving average graphs |
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Example | Lesson 6.B | Weighted moving average graphs continued |
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Example | 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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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 |
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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 |
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Example | Lesson 7.F | Example | Write rates, convert ratios to percentages |
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Example | Lesson 8.A | Example |
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Example | Lesson 8.B | Example | Determine when 2 quantities are proportional | Explain, compare, and contrast linear and proportional relationships | |
Example | Lesson 8.C | Example |
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Example | Lesson 8.D | Example |
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Example | Lesson 8.E | Example |
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Example | Lesson 9.A | Depreciation |
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Example | Lesson 9.B | Geometric interpretation of interpolation |
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Example | Lesson 9.C | Example |
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Example | Lesson 9.D | Example | 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 | Use formulas in spreadsheets |
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Example | Lesson 10.B | Example |
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Example | Lesson 11.A | Continuous Growth |
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Example | Lesson 11.B | Example |
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Example | Lesson 11.C | Example | 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 |
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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 |
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Example | Lesson 12.A | Periodic Function |
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Example | Lesson 12.B | The Sine Function |
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