Modern-day finance is rife with computationally intensive problems and solutions from pricing derivative instruments to complex portfolio building using optimization techniques. This course supplies students with the intuitions for the underlying mathematical concepts behind common financial applications. Furthermore, students learn the skills to develop their own solutions to variant of these applications with emphasis put on the generalizability of the results reviewed. Starting with binomial models as a stepping-stone, this course discusses the main tools applied to derivative valuation and their extension to continuous time pricing. It also considers common numerical methods utilized in financial engineering such as Monte Carlo simulation. The course ends with a review of common optimization tools and their application to portfolio building under constraints. MSF students only.
Sections offered by academic year and season, with estimated offering chances for future years above the divider
Year
Fall
Spring
Summer
Intersession
2030
38%2030 Fall: 38% chance, medium confidence. Offered in 6 of 7 fall terms since 2020. Department course count falling about 2% per year. Department faculty is about 21% below its recent average.
50%2030 Spring: 50% chance, medium confidence. Offered in 7 of 9 spring terms since 2018. Department course count falling about 5% per year.
7%2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018.
8%2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020.
2029
44%2029 Fall: 44% chance, medium confidence. Offered in 6 of 7 fall terms since 2020. Department faculty is about 20% below its recent average.
53%2029 Spring: 53% chance, medium confidence. Offered in 7 of 10 spring terms since 2017. Department course count falling about 3% per year.
6%2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017.
7%2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2028
47%2028 Fall: 47% chance, medium confidence. Offered in 6 of 7 fall terms since 2020. Department faculty is about 22% below its recent average.
59%2028 Spring: 59% chance, medium confidence. Offered in 7 of 11 spring terms since 2016.
5%2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016.
7%2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2027
50%2027 Fall: 50% chance, medium confidence. Offered in 6 of 7 fall terms since 2020. Department faculty is about 21% below its recent average.
67%2027 Spring: 67% chance, medium confidence. Offered in 7 of 12 spring terms since 2015. Department course count rising about 4% per year.
5%2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015.
6%2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2026
Not offered
11 section
Not offered
n/aNo data for this term
2025
11 section
11 section
Not offered
Not offered
2024
11 section
11 section
Not offered
Not offered
2023
11 section
11 section
Not offered
Not offered
2022
11 section
22 sections
Not offered
Not offered
2021
11 section
22 sections
Not offered
Not offered
2020
11 section
33 sections
Not offered
Not offered
2019
Not offered
Not offered
Not offered
n/aNo data for this term
2018
Not offered
Not offered
Not offered
n/aNo data for this term
2017
Not offered
Not offered
Not offered
Not offered
2016
Not offered
Not offered
Not offered
n/aNo data for this term
ForecastUnder 15%15–39%40–69%70–89%90%+Not enough history
Fall Spring Summer Intersession Darker means more sectionsNot offeredNo data for term
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a
cell for confidence and evidence; low-confidence estimates are marked with ~.
Meeting times
Most recent first
Mon, 9:00 AM–11:50 AMCarlson Hall CH1202026
Mon, Fri, 10:25 AM–11:40 AMJC1012025
Mon, Fri, 9:00 AM–10:15 AMCarlson Hall CH2312025
Tue, Thu, 10:25 AM–11:40 AMONLINE2021
Mon, Wed, 10:25 AM–11:40 AMONLINE2020
Tue, 1:00 PM–4:00 PMCarlson Hall CH1202013-22012-3
Wed, 9:00 AM–12:00 PMCarlson Hall CH2312013-1
Mon, 1:00 PM–4:00 PMCarlson Hall CH1282012-12011-1