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Growth Paths / Math Electives: Mathematical analysis
AdvancedSkills
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).
0 required outcomes52 weeksCredential on completion
Path outcomes
10
SkillsOptional
Learn Complex Analysis (MIT 18.04)
Complex Variables with Applications
Take this Challenge →2 milestones
- 1Do the problem sets and write them up
- 2Evaluate real integrals with residues
20
SkillsOptional
Learn Numerical Analysis (MIT 18.330)
Introduction to Numerical Analysis
Take this Challenge →2 milestones
- 1Do the problem sets and write them up
- 2Compare two methods with proof and code
30
SkillsOptional
Learn Convex Optimisation (Boyd and Vandenberghe)
Optimization theory
Take this Challenge →2 milestones
- 1Do the problem sets and write them up
- 2Solve a real problem by convex optimisation
40
SkillsOptional
Learn Functional Analysis (MIT 18.102)
Introduction to Functional Analysis
Take this Challenge →2 milestones
- 1Do the problem sets and write them up
- 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).