7 courses with the subject MATS, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
MATS 1000Math for Welders3
A course for students enrolling in the Welding program. Topics include operations with whole numbers, fractions, decimals and percents; metric system and unit conversions; perimeter, area and volume of regular and composite shapes; angular measurements; bends, stretchouts, economical layout and takeoffs.This course DOES NOT meet any requirements of the Transfer Curriculum. It does not meet the general education requirements for A.A.S. degree students and is not a substitute for general education electives. Learning Outcomes Convert units of measure within the English and Metric systems, as well as apply those conversions in application problems. Understand how measurement tools work such as rulers, tape measures, calipers and micrometers. Apply dimensional knowledge to tolerancing. Understand and analyze geometric calculations of two-dimensional and three–dimensional shapes in applications of mass, weight, volume and area. Measure angles with a protractor and perform arithmetic with angles in degree, minutes, seconds form and use knowledge in applications. Understand the relationships of number comparisons such as percentages, ratios and proportions and be able to apply those concepts. Use mathematical calculations in metal working and pipe-fitting applications such as bends, stretch-outs, and economic layouts. Perform and apply arithmetic with whole numbers, decimals, and fractions.
A first-semester course for students in the Electrical Construction program. Derivation and application of power-wheel formulas; significant figures and engineering notation; circuit analysis using Kirchhoff’s laws and systems of equations; right triangle trigonometry with applications; vectors and vector addition; AC sine waves; phasor analysis of an RLC circuit; binary, octal, and hexadecimal number systems; signal distribution; direct and inverse proportions. Attention: This course does not fulfill the union requirement of a year of high school algebra. Students looking to fulfill this requirement should enroll in MATS 1300 or MATS 1340 . Learning Outcomes Work with deciBels to calculate signal losses in cables. Add vectors, with particular attention to phasor analysis of AC circuits. Apply Kirchhoff’s laws and system of equations to circuit analysis. Apply electrical formulas. Use engineering notation in electrical calculations with proper consideration of significant figures. Solve right triangles. Convert among binary, octal, hexadecimal, and decimal numbers.
Placement Level Introductory College Level Placement A project-based course using Microsoft Excel, emphasizing conceptual understanding and application of elementary mathematics as it is used and communicated in a variety of everyday contexts (no prior experience with Excel is necessary). Mathematical topics include ratios, rates, percentages, units, descriptive statistics, linear and exponential modeling, correlation, logic, and probability; contexts include (but are not limited to) personal finance and critical examination of current news articles. Written and/or oral presentations will be required. Learning Outcomes Calculate, interpret, and communicate with descriptive statistics Understand, work with, and communicate using percentages Communicate mathematically Interpret and convert among analytic representations Understand, work with, and communicate linear growth patterns Understand, work with, and communicate using ratios and rates Understand, work with, and communicate exponential growth patterns Develop confidence with personal finance Understand and explain what constitutes a valid argument Develop proficiency with Microsoft Excel for basic quantitative analyses and presentations Minnesota Transfer Curriculum (MNTC) Goals 04 - Mathematical/Logical Reasoning
Placement Level Introductory College Level Placement Fundamental principles of inferential statistics are presented in lecture augmented by computer labs using Excel. Essential topics include sampling methods; descriptive statistics; counting and probability; poisson, binomial, normal and other probability distributions; confidence intervals; hypothesis testing; inferences from two samples; correlation and regression. Optional topics include goodness-of-fit and contingency tables; ANOVA; nonparametric; and statistical process control. Learning Outcomes Construct confidence interval estimates of proportion, mean, and standard deviation, interpreting results Generate and interpret a wide variety of descriptive statistics and charts. Use Excel to calculate experimental probabilities, work with probability distributions, generate confidence intervals, conduct hypothesis tests, and perform correlation and regression analyses Understand and work with fundamental probability distributions such as Poisson, binomial, uniform, and normal. Perform one- and two-population hypothesis tests for proportion, mean (including matched pairs), and standard deviation, interpreting results. Work with basic concepts of probability, including conditional probability, complements, compound events and Bayes? Theorem. Minnesota Transfer Curriculum (MNTC) Goals 04 - Mathematical/Logical Reasoning
Placement Level Algebra College Level Placement Linear, quadratic, polynomial, rational, exponential, logarithmic, and other functions are carefully analyzed, with particular emphasis on graphical transformations (shifting, reflecting, stretching and compressing). Additional topics include matrices and Gaussian elimination; solving complex equations, including those in quadratic form and those that must be solved graphically; variation problems; particle motion; optimization problems; composition and inverse functions; arithmetic and geometrc sequences; properties of logarithms and exponential/logarithmic equations; exponential growth and decay. Learning Outcomes Analyze graphs of polynomial and rational functions, including intercepts, symmetry, end behavior, multiplicity and arymptotes. Solve high-order polynomial equations by factoring, including complex number solutions. Apply knowledge of transformations to convert among equation and graph forms of various functions. Explain the concept of function, executing instructions written using function notation, e.g. f(x+h) - f(x) Apply log-laws to solve exponential and logarithmic equations. Analyze arithmetic vs geometric / linear vs exponential growth and decay. Apply Gaussian elimination and other techniques to solve linear systems of equations, including applications. Minnesota Transfer Curriculum (MNTC) Goals 04 - Mathematical/Logical Reasoning
Placement Level Introductory College Level Placement A course combining elements of college algebra, college trigonometry, and statistics, with a particular focus on topics useful to future engineers or engineering techs. Manipulating literal equations; solving equations analytically and by graphing; solving systems of equations analytically and using matrix solvers; setting up and solving systems of equations for practical applications; trigonometric functions; laws of sines and cosines; vector analysis of forces in static equilibrium; basic concepts of probability; bell curve; confidence intervals and uncertainty analysis; correlation and regression. Learning Outcomes Estimate lengths, areas, and volumes of regular and irregular geometries. Write and solve systems of equations (using matrix solvers for high-dimensional systems) with applications to engineering situations such as DC circuit analysis (Kirchhoff’s laws), static equilibrium in a truss and thermal conduction in a uniform solid. Use vector analysis to analyze static equilibrium in trusses and other structures. Construct confidence intervals and perform uncertainty analysis for a series of measurements (including zeroth, first, and nth-order sources of uncertainty). Apply concepts of trigonometry (including laws of sines and cosines) and plane geometry in various applications such as surveying, architecture, and machining. Perform least-squares analyses, including correlation and regression. Increase proficiency working with literal equations and engineering notation, including significant figures (the electrical power wheel being a good example). Minnesota Transfer Curriculum (MNTC) Goals 04 - Mathematical/Logical Reasoning
Placement Level Pre-College Level Math Placement Two hours per week of homework support for students enrolled in the day section of College Algebra. A professional tutor, licensed in K12 math, joins the instructor to team teach two days per week. Major Content Areas Help with functions and their graphs, including polynomial & rational functions. Help with composition & inverse functions. Help with polynomial factoring and polynomial equations, including complex solutions. Help with exponential growth & decay. Help with radical forms, integer & rational exponents. Help with systems of equations. Learning Outcomes Solve high-order polynomial equations by factoring, including complex number solutions. Apply Gaussian elimination and other techniques to solve linear systems of equations, including applications. Analyze arithmetic vs geometric / linear vs exponential growth and decay Analyze graphs of polynomial and rational functions, including intercepts, symmetry, end behavior, multiplicity and arymptotes. Apply log-laws to solve exponential and logarithmic equations Apply knowledge of transformations to convert among equation and graph forms of various functions. Explain the concept of function, executing instructions written using function notation.
