Course materials

Math Revision Session for OSIPP (2025)

Course outline for the 2025 mathematics revision sessions in matrix algebra and introductory statistics.

  • Academic year: 2025
  • Term: Spring
  • University: The University of Osaka, OSIPP
The original HTML referred to PDF files that were not present in the uploaded repository. The schedule and topic descriptions are retained, and unavailable links have been removed.
DateSessionTopicsMaterials
1
Matrix Algebra I
  • Basic matrix notation and operations
Handout unavailableThe referenced PDF was not included in the uploaded repository.
2
Matrix Algebra II
  • Further matrix algebra
Handout unavailableThe referenced PDF was not included in the uploaded repository.
3
Matrix Algebra III
  • Advanced matrix topics and applications
Handout unavailableThe referenced PDF was not included in the uploaded repository.
4
Probability foundations
  • Sets
  • Probability
  • Bayes’ theorem
  • Random variables
Handout unavailableThe referenced PDF was not included in the uploaded repository.
5
Discrete random variables
  • Multiple discrete random variables
  • Expectation and variance rules
  • Bernoulli, binomial, and Poisson distributions
Handout unavailableThe referenced PDF was not included in the uploaded repository.
6
Continuous random variables
  • CDFs and density functions
  • Uniform distribution
  • Joint and marginal distributions
  • Covariance, correlation, independence, and conditional expectation
Handout unavailableThe referenced PDF was not included in the uploaded repository.
7
Representative continuous distributions
  • Normal and standard normal distributions
  • Chi-squared and t distributions
  • Degrees of freedom
Handout unavailableThe referenced PDF was not included in the uploaded repository.
8
Population and sampling theory
  • Population and sample
  • Law of large numbers and central limit theorem
  • Sampling distribution of the sample variance
  • Standardisation using the sample variance
Handouts unavailableThe referenced notes and exercise file were not included in the uploaded repository.
9
Estimation
  • Point estimation
  • Interval estimation
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10
Hypothesis testing
  • Test statistics
  • One-sided and two-sided tests
  • Testing differences in means
  • Type I and Type II errors
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