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Growth Paths / Math Electives: Mathematical analysis
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Math Electives: Mathematical analysis

Complex, numerical and functional analysis, and optimisation.

Complex, numerical and functional analysis, and optimisation. An elective area: finish one outcome in each of the 6 areas, then 3 more in one area you choose to go deep in. Free courses, a free self-check for each, and real work confirmed by 3 people. Part of the Varsity Curriculum: Mathematics, adapted from OSSU Math (MIT License).

Part of: Mathematics · Proves for: UG

0 required outcomes52 weeksCredential on completion

Path outcomes

How this is verified: 8 are checked automatically, then confirmed by one person.

SkillsOptional

Learn Complex Analysis (MIT 18.04)

Complex Variables with Applications

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2 milestones

  1. 1Do the problem sets and write them up
  2. 2Evaluate real integrals with residues
SkillsOptional

Learn Numerical Analysis (MIT 18.330)

Introduction to Numerical Analysis

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2 milestones

  1. 1Do the problem sets and write them up
  2. 2Compare two methods with proof and code
SkillsOptional

Learn Convex Optimisation (Boyd and Vandenberghe)

Optimization theory

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2 milestones

  1. 1Do the problem sets and write them up
  2. 2Solve a real problem by convex optimisation
SkillsOptional

Learn Functional Analysis (MIT 18.102)

Introduction to Functional Analysis

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2 milestones

  1. 1Do the problem sets and write them up
  2. 2Write up Fourier series in Hilbert space

Resources for this path

No affiliate links. No sponsored placements.

OSSU Math ↗Curriculum

The course map this path is adapted from (MIT License).