21F.102 Chinese II (Regular) (MIT)
This subject is the second semester of two that form an introduction to modern standard Chinese, commonly called Mandarin. Though not everyone taking this course will be an absolute beginner, the course presupposes only 21F.101/151, the beginning course in the sequence. The purpose of this course is to develop: (a) basic conversational abilities (pronunciation, fundamental grammatical patterns, common vocabulary, and standard usage); (b) basic reading skills (in both the traditional character se
21F.101 Chinese I (Regular) (MIT)
This subject is the first semester of two that form an introduction to modern standard Chinese, commonly called Mandarin. Though not everyone taking this course will be an absolute beginner, the course presupposes no prior background in the language. The purpose of this course is to develop:
Basic conversational abilities (pronunciation, fundamental grammatical patterns, common vocabulary, and standard usage)
Basic reading and writing skills (in both the traditional character set and th
HST.722J Brain Mechanisms for Hearing and Speech (MIT)
An advanced course covering anatomical, physiological, behavioral, and computational studies of the central nervous system relevant to speech and hearing. Students learn primarily by discussions of scientific papers on topics of current interest. Recent topics include cell types and neural circuits in the auditory brainstem, organization and processing in the auditory cortex, auditory reflexes and descending systems, functional imaging of the human auditory system, quantitative methods for relat
HST.951J Medical Decision Support (MIT)
This course presents the main concepts of decision analysis, artificial intelligence, and predictive model construction and evaluation in the specific context of medical applications. The advantages and disadvantages of using these methods in real-world systems are emphasized, while students gain hands-on experience with application specific methods. The technical focus of the course includes decision analysis, knowledge-based systems (qualitative and quantitative), learning systems (includ
7.391 Concept-Centered Teaching (MIT)
Do you like teaching, but find yourself frustrated by how little students seem to learn? Would you like to try teaching, but are nervous about whether you will be any good at it? Are you interested in new research on science education? Research in science education shows that the greatest obstacle to student learning is the failure to identify and confront the misconceptions with which the students enter the class or those that they acquire during their studies. This weekly seminar course focuse
16.410 Principles of Autonomy and Decision Making (MIT)
This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, reasoning under uncertainty, and machine learning. Optimization
9.01 Neuroscience and Behavior (MIT)
This course covers the relation of structure and function at various levels of neuronal integration. Topics include functional neuroanatomy and neurophysiology, sensory and motor systems, centrally programmed behavior, sensory systems, sleep and dreaming, motivation and reward, emotional displays of various types, "higher functions" and the neocortex, and neural processes in learning and memory.
15.818 Pricing (MIT)
This course, primarily discussion based, provides a framework for understanding pricing strategies and tactics. Topics covered include pricing in competitive markets, estimating demand, price discrimination, the role of price cues, anticipating competitive responses, pricing in business to business markets, and pricing of new products. Lectures and cases are the primary modes of learning.
2.160 Identification, Estimation, and Learning (MIT)
This course provides a broad theoretical basis for system identification, estimation, and learning. Students will study least squares estimation and its convergence properties, Kalman filters, noise dynamics and system representation, function approximation theory, neural nets, radial basis functions, wavelets, Volterra expansions, informative data sets, persistent excitation, asymptotic variance, central limit theorems, model structure selection, system order estimate, maximum likelihood, unbia
9.520 Statistical Learning Theory and Applications (MIT)
This course is for upper-level graduate students who are planning careers in computational neuroscience. This course focuses on the problem of supervised learning from the perspective of modern statistical learning theory starting with the theory of multivariate function approximation from sparse data. It develops basic tools such as Regularization including Support Vector Machines for regression and classification. It derives generalization bounds using both stability and VC theory. It also dis
21F.104 Chinese IV (Regular) (MIT)
This is the last of the four courses (Chinese I through IV) that make up the foundation level (four semesters over two years in the normal curriculum) of MIT's regular (non-streamlined) Chinese program. Chinese IV is designed to consolidate conversational usage and grammatical and cultural knowledge encountered in the earlier courses, and to expand reading and listening abilities. It integrates the last part of Learning Chinese (two units designed primarily for review of grammatical concepts and
11.965 Reflective Practice: An Approach for Expanding Your Learning Frontiers (MIT)
The course is an introduction to the approach of Reflective Practice developed by Donald Schön. It is an approach that enables professionals to understand how they use their knowledge in practical situations and how they can combine practice and learning in a more effective way. Through greater awareness of how they deploy their knowledge in practical situations, professionals can increase their capacities of learning in a more timely way. Understanding how they frame situations and ideas h
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