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MATH 123 — Linear Algebra and Probability

Geometric vectors in low dimensions. Lines and planes. Dot and cross product. Linear equations and matrices. Matrix operations, properties and rank. Linear dependence and independence. Inverses and determinants. Linear programming and tableaux. Sample space, probability, combination of events. Conditional probability and Bayes Law. Random sampling. Random variables and common distributions.

  • Rating: 3.44 out of 5 from 1026 student reviews
  • Difficulty: 2.43 out of 5
  • Credits: 3
  • Faculty: Faculty of Science
  • Department: Mathematics and Statistics
  • Taught by: Tharshanna Nadarajah

Sections offered

  • Section 001 (Lec), Mon Wed 8:35-9:55 am — 15 seats open
  • Section 002 (Tut), Mon 10:35-11:25 am — 2 seats open
  • Section 003 (Tut), Thu 10:35-11:25 am — 1 seats open
  • Section 004 (Tut), Wed 10:35-11:25 am — 12 seats open