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Diploma in Higher Education Studies

Review and coursework completion

HES 212 · Further Mathematics for University Study — Week 15 of 16

CourseHES 212
Week15 of 16
SemesterII
TutorOnline in the course chat

This week’s topics

Review and coursework completion

  1. Reviewing the learning outcomes
  2. Completing and checking coursework against the criteria
  3. Self-assessment

What you will be able to do

  • 1.1 Plot simple linear and quadratic functions.
  • 1.2 Interpret the gradient and intercept of a graph.
  • 2.1 Identify arithmetic and geometric sequences.
  • 2.2 Explain their relevance to algorithmic complexity (informally).
  • 3.1 Calculate probability of simple events.
  • 3.2 Apply basic statistical measures to a dataset.
  • 4.1 Translate a mathematical problem into pseudocode.
  • 4.2 Verify a solution using test data.

Activity

Guided review of every criterion; coursework completion clinic and peer review.

Study materials

Further resources

  • Writing Guide, 1.6: Evaluation: Intention vs. Execution · PDF · OpenStax Writing Guide with Handbook (2021), 1.6: checking your work against a rubric or set of criteria, pp. 30–31 · for registered students
  • Writing Guide, ch. 20: Portfolio Reflection · PDF · OpenStax Writing Guide with Handbook (2021), ch. 20 (20.1–20.5): looking back at your work and writing a self-assessment, pp. 664–678 · for registered students
  • Technology-mediated self-assessment in higher education: a critical review · Open-access article · Cao et al. (2025), Contemporary Educational Technology. Recent review of self-assessment tools and practices. · for registered students
Materials marked “for registered students” open in the student portal, which is set up as soon as you receive final acceptance.
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Course plan
  • Week 1: Coordinates and straight-line graphs
  • Week 2: Gradient and y-intercept (y = mx + c)
  • Week 3: Plotting quadratic graphs
  • Week 4: Using graphs to solve problems
  • Week 5: Number sequences and the nth term
  • Week 6: Geometric sequences
  • Week 7: Sequences and how fast programs grow
  • Midterm: Midterm evaluation
  • Week 9: Probability basics
  • Week 10: Probability of two events
  • Week 11: Statistics for a dataset
  • Week 12: From a problem to pseudocode
  • Week 13: Checking a solution with test data
  • Week 14: Maths problem-solving project
  • Week 15: Review and coursework completion
  • Final: Final assessment and submission
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