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Engineering Mathematics III

NWS 231 · Semester 3

4 credits · 39 learning units

Lessons

36 of 39 learning units provide interactive tutorials with worked examples, diagrams, knowledge checks and subject mastery questions. Each check draws five questions from the available bank; question counts vary by unit. The remaining units provide preparation, guided practice or an independent project.

Subunit titles retain the curriculum’s original language.

Shared learning sequence · NWS 231 / SWE 231. Combines complementary topics from both curricula.

Start here

  1. Lesson 1Data types, sampling and statistical questions

Curriculum topics

  1. Lesson 2Types of graphical representationsInteractive tutorial
  2. Lesson 3Comparison of graphical techniquesInteractive tutorial
  3. Lesson 4Mean, mode and medianInteractive tutorial
  4. Lesson 5Variance and standard deviationInteractive tutorial
  5. Lesson 6Deciles and interquartile rangeInteractive tutorial
  6. Lesson 7Descriptive statisticsInteractive tutorial
  7. Lesson 8CovarianceInteractive tutorial
  8. Lesson 9Pearson product-moment correlation coefficientInteractive tutorial
  9. Lesson 10Spearman's rank correlation coefficientInteractive tutorial
  10. Lesson 11Kendall's tau correlation coefficientInteractive tutorial
  11. Lesson 12Simple linear regressionInteractive tutorial
  12. Lesson 13Scatter plots and trend linesInteractive tutorial
  13. Lesson 14Slope and intercept interpretationInteractive tutorial
  14. Lesson 15Residual analysisInteractive tutorial
  15. Lesson 16Measures of central tendency — recapInteractive tutorial
  16. Lesson 17Measures of dispersion — recapInteractive tutorial
  17. Lesson 18Distribution shapes, skewness and kurtosisInteractive tutorial
  18. Lesson 19Random samplingInteractive tutorial
  19. Lesson 20Systematic and stratified samplingInteractive tutorial
  20. Lesson 21Bias and sampling errorsInteractive tutorial
  21. Lesson 22Point estimationInteractive tutorial
  22. Lesson 23Confidence intervalsInteractive tutorial
  23. Lesson 24The least-squares methodInteractive tutorial
  24. Lesson 25Margin of errorInteractive tutorial
  25. Lesson 26Null and alternative hypothesesInteractive tutorial
  26. Lesson 27Understanding the chi-square distributionInteractive tutorial
  27. Lesson 28Chi-square test for independence and goodness of fitInteractive tutorial
  28. Lesson 29t-test and z-testInteractive tutorial
  29. Lesson 30Graphical representationInteractive tutorial
  30. Lesson 31Central tendency and dispersionInteractive tutorial
  31. Lesson 32Correlation coefficients and regressionInteractive tutorial
  32. Lesson 33Least-squares methodsInteractive tutorial
  33. Lesson 34Estimation of mean and standard deviationInteractive tutorial
  34. Lesson 35Test of hypothesisInteractive tutorial
  35. Lesson 36Whole series and Fourier seriesInteractive tutorial
  36. Lesson 37Fourier, Laplace and Z transformsInteractive tutorial

Put it into practice

  1. Lesson 38Guided laboratory and troubleshooting

Work independently

  1. Lesson 39Independent project and review
Curriculum source

HND CURRICULUM-NETWORK AND SECURITY.pdf · NWS 231 · Course table: p. 10 · Outline pages: 142, 143, 144, 145, 146

HND Computer Engineering Software Engineering Curriculum.pdf · SWE 231 · Course table: p. 10 · Outline pages: 35