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: MATS0700 See course details in eServices for more prerequisite information.
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: MATS0700 or see course details in eServices for more prerequisite information.
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 Prerequisites: MATS 0800 or 0700 with MATS 0795 or see course details in eServices for more prerequisite information.
Credits: 4
Prerequisites:
Corequisites:
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: MATS0700 or see course details in eServices for more prerequisite information.
Credits: 4
Prerequisites:
Corequisites: None
Future Offering:
MNTC Goals: 4
PHIL 1250 Students will learn to identify, analyze, and evaluate arguments in real-world problems using techniques of formal logic. Covered will be inductive and deductive logic, categorical logic, propositional logic, and natural deduction. Techniques of informal logic will not be addressed. Prerequisites: recommended placement assessment score.
Credits: 3
Prerequisites:
Corequisites: None
Future Offering:
MNTC Goals: 4
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