[[14.282 Introduction to Organizational Economics]] ____ Graduate (Fall) Prereq: 14.124 Units: 5-0-7 Add to schedule Lecture: TR1-2.30 (E62-550) Recitation: F2.30-4 (E62-550) ____ Begins with survey of contract theory for organizational economists, then introduces the main areas of the field, including the boundary of the firm; decision-making, employment, structures and processes in organizations; and organizations other than firms. C. Angelucci, R. Gibbons, N. Kala [[2025-08-10|25-08-10]] 1. human firewall are someone who uses common sense, makes good decisions, and eliminates threats before they become security incidents. > ### 1.205 Advanced Demand Modeling >  > >  () > Prereq: [1.202](https://student.mit.edu/catalog/m1b.html#1.202) or permission of instructor > Units: 3-0-9 > [](https://student.mit.edu/catalog/editcookie.cgi?add=1.205) **Lecture:** _F2-5_ ([2-105](http://whereis.mit.edu/map-jpg?mapterms=2)) >  > 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 required or recommended textbooks > ### 6.7830 Bayesian Modeling and Inference >  > >  () > Prereq: [6.7700](https://student.mit.edu/catalog/m6c.html#6.7700) and [6.7900](https://student.mit.edu/catalog/m6c.html#6.7900) > Units: 3-0-9 >  > Covers Bayesian modeling and inference at an advanced graduate level. Topics include de Finetti's theorem, decision theory, approximate inference (modern approaches and analysis of Monte Carlo, variational inference, etc.), hierarchical modeling, (continuous and discrete) nonparametric Bayesian approaches, sensitivity and robustness, and evaluation. > Staff ### 24.130 Ethics   ()  Prereq: None Units: 3-0-9 [](https://student.mit.edu/catalog/editcookie.cgi?add=24.130) **Lecture:** _TR12_ ([56-154](http://whereis.mit.edu/map-jpg?mapterms=56)) **Recitation:** _F11_ ([56-191](http://whereis.mit.edu/map-jpg?mapterms=56)) or _F12_ ([56-169](http://whereis.mit.edu/map-jpg?mapterms=56))  Survey of moral philosophy in the Western tradition, focusing primarily on utilitarian, Kantian, and Aristotelian moral theories, along with selected criticisms of those theories. Explores the questions of what makes right actions right and wrong actions wrong, what a good life consists of, what it takes to be a virtuous person, and what it means to be free and responsible for one's actions. Debates why these ideas are important. Aim is to understand how some of the most influential philosophers have addressed these questions, and by so doing, to better understand and formulate one's own views. Readings from classic and contemporary authors, including Aristotle, Bentham, Kant, Rawls, Nagel, and Korsgaard. Enrollment limited. _T. Schapiro_ No textbook information available ### IDS.136[J] Graphical Models: A Geometric, Algebraic, and Combinatorial Perspective   () Not offered regularly; consult department (Same subject as [6.7820[J]](https://student.mit.edu/catalog/m6c.html#6.7820)) Prereq: [6.3702](https://student.mit.edu/catalog/m6c.html#6.3702) and [18.06](https://student.mit.edu/catalog/m18a.html#18.06) Units: 3-0-9  Provides instruction in the geometric, algebraic and combinatorial perspective on graphical models. Presents methods for learning the underlying graph and inferring its parameters. Topics include exponential families, duality theory, conic duality, polyhedral geometry, undirected graphical models, Bayesian networks, Markov properties, total positivity of distributions, hidden variables, and tensor decompositions. _C. Uhler_ ### 14.282 Introduction to Organizational Economics   () Prereq: [14.124](https://student.mit.edu/catalog/m14a.html#14.124) Units: 5-0-7 [](https://student.mit.edu/catalog/editcookie.cgi?add=14.282) **Lecture:** _TR1-2.30_ ([E62-550](http://whereis.mit.edu/map-jpg?mapterms=E62)) **Recitation:** _F2.30-4_ ([E62-550](http://whereis.mit.edu/map-jpg?mapterms=E62))  Begins with survey of contract theory for organizational economists, then introduces the main areas of the field, including the boundary of the firm; decision-making, employment, structures and processes in organizations; and organizations other than firms. _C. Angelucci, R. Gibbons, N. Kala_ No textbook information available