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Intro Linear Algebra Prob

Course: DS5020 · Instructor: Brady, David · Term: Spring 2025
Community Ratings
Online:4.4|Course:4.4|Learning:4.5+0.20|Instructor:4.8+0.30|Effectiveness:4.4
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Course Description

Offers an introductory course on the basics of statistics, probability, and linear algebra. Covers random variables, frequency distributions, measures of central tendency, measures of dispersion, moments of a distribution, discrete and continuous probability distributions, chain rule, Bayes’ rule, correlation theory, basic sampling, matrix operations, trace of a matrix, norms, linear independence and ranks, inverse of a matrix, orthogonal matrices, range and null-space of a matrix, the determinant of a matrix, positive semidefinite matrices, eigenvalues, and eigenvectors.

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Teaching Style Radar

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Quick Takeaways

  • Best for: Challenge and Learning stand out (Excellent, Strong).
  • ⚠️Watch out: Clarity is needs attention.
  • 💡Key insight: Hard to follow and hard to understand

Strengths & Areas for attention

  • Strong: Learning (4.7)
  • On Par: Feedback (4.3)
  • ⚠️Needs attention: Clarity (3.9)
  • ⚠️Needs attention: Materials (3.7)

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Developer details
offering_id: 016e808f-1e0b-4576-b668-65a6de9868b4
offering_key: DS5020_Spring_2025
created_at: 2026-01-26T01:49:52.361113+00:00
agg_updated: 2026-01-26T01:16:35.406824+00:00
enrich_model: none
pipeline: enrich_gemini_v5_profile