91福利社

Course Outlines
Course Outlines

Math for Engineering Technology — MATS 1340

  1. Course Description
    • Credits: 4.00
    • Lecture Hours/Week: 4.00
    • Lab Hours/Week: 0.00
    • OJT Hours/Week: 0
    • Prerequisites:
      • MATS 0310: Algebra Skills Lab
      • MATS 0640: Mathematical Literacy
      • MATS 0700: Algebra Emporium
    • Corequisites: None
    • MnTC Goals:
      • 04 – Mathematical/Logical Reasoning
    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.
  2. Course Effective Dates: 1/31/19 – Present
  3. Outline of Major Content Areas
      As noted on course syllabus
  4. Learning Outcomes
    1. Increase proficiency working with literal equations and engineering notation, including significant figures (the electrical power wheel being a good example).
    2. Apply concepts of trigonometry (including laws of sines and cosines) and plane geometry in various applications such as surveying, architecture, and machining.
    3. Use vector analysis to analyze static equilibrium in trusses and other structures.
    4. 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.
    5. Estimate lengths, areas, and volumes of regular and irregular geometries.
    6. Construct confidence intervals and perform uncertainty analysis for a series of measurements (including zeroth, first, and nth-order sources of uncertainty).
    7. Perform least-squares analyses, including correlation and regression.
  5. Minnesota Transfer Curriculum Goal Area(s) and Competencies
      Goal 04 — Mathematical/Logical Reasoning
      • Illustrate historical and contemporary applications of mathematical/logical systems.
      • Clearly express mathematical/logical ideas in writing.
      • Apply higher-order problem-solving and/or modeling strategies.
  6. Learner Outcomes Assessment
      As noted on course syllabus
  7. Special Information
      None noted