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MATS 0810 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.
Credits: 1
Prerequisites:
Corequisites: None
Future Offering:
MATS 1000 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. Prerequisites: None. 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 electives.
Credits: 3
Prerequisites: None
Corequisites: None
Future Offering:
MATS 1205 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. Prerequisite: MATS0075 or see course details in eServices for more prerequisite information. 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 MATS1300 or MATS1340.
Credits: 3
Prerequisites: None
Corequisites: None
Future Offering:
MATS 1240 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. Meets MnTC Goal 4. Prerequisite: Math placement at the introductory college level.
Credits: 4
Prerequisites:
Corequisites: None
Future Offering:
MNTC Goals: 4
MATS 1251 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, binomal, 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; nonparemetrics; and statistical process control. Meets MnTC Goal 4. Prerequisite: Math placement at the introductory college level.
Credits: 4
Prerequisites:
Corequisites: None
Future Offering:
MNTC Goals: 4
MATS 1300 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 geometric sequences; properties of logarithms and exponential/logarithmic equations; exponential growth and decay. MnTC Goals: Goal 04 - Mathematical/Logical Reasoning Prerequisite: placement into algebra college level.
Credits: 4
Prerequisites:
Corequisites: None
Future Offering:
MNTC Goals: 4
MATS 1340 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. Meets MnTC Goal 4 Prerequisite: Math placement at the introductory college level.
Credits: 4
Prerequisites:
Corequisites: None
Future Offering:
MNTC Goals: 4
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