MIT Subject Listing & Schedule
My Course Selections

14.416[J] Asset Pricing

()
(Same subject as 15.470[J])
Prereq: None
Units: 4-0-8
Lecture: MW4-5.30 (E62-650) Recitation: F11 (E62-350) +final

Provides a foundation in the neoclassical theory of finance that underlies more advanced study. Covers arbitrage asset pricing, optimal consumption-portfolio choices, neo-classic theory of corporate finance, static equilibrium models of asset pricing, asymmetric information, and dynamic modeling. Prepares students for further study of asset pricing theories, corporate finance and econometric work in finance. Primarily for doctoral students in finance, economics, and accounting.
L. Schmidt
No textbook information available

21G.702 Spanish II

(, )
(Subject meets with 21G.752)
Prereq: 21G.701 or permission of instructor
Units: 4-0-8
Credit cannot also be received for 21G.700
URL: https://languages.mit.edu/language-placement-proficiency/
Lecture: MTWR11 (14N-325) or MTWR12 (14N-325)

Continues the study of Spanish language and culture using audio, video and print materials, feature films and popular music from Latin America and Spain. Emphasizes writing, vocabulary acquisition, and the study of more complex grammatical structures. Students develop oral skills through group interaction and short presentations. For graduate credit see 21G.752. Limited to 18 per section.
L. Ewald
Textbooks (Fall 2024)

1.205 Advanced Demand Modeling

()
Prereq: 1.202 or permission of instructor
Units: 3-0-9
Lecture: F2-5 (2-105)

Advanced theories and applications of models for analysis and forecasting of users' behavior and demand for facilities, services, and products. Topics vary each year and typically include linear and nonlinear latent variable models, including structural equations and latent class models; estimation techniques with multiple data sources; joint discrete and continuous choice models; dynamic models; analysis of panel data; analysis of complex choices; estimation and forecasting with large choice sets; multidimensional probabilistic choice models; advanced choice models, including probit, logit mixtures, treatment of endogeneity, hybrid choice models, hidden Markov models, Monte Carlo simulation, Bayesian methods, survey design, sampling, model transferability, use of stated preferences data, and discrete choice models with machine learning. Term paper required.
M. Ben-Akiva
No textbook information available

Total units: 36

You may remove a subject from your selection by clicking on the button in the description.
Or, you may delete your entire selection by pushing the following button:

Examine your course selections. When ready, click the pre-registration button below to submit them to pre-registration. (Certificates are required.)

---

A note on the schedule: Lecture options are shown, not labs or recitations.

A text chart may show up better for printing.

TIME Mon Tue Wed Thu Fri KEY  14.416  21G.702  1.205 7 am 8 am 9 am 10 am 11 am 12 pm 1 pm 2 pm 3 pm 4 pm 5 pm 6 pm 7 pm 8 pm 9 pm