21F.223 Listening, Speaking, and Pronunciation (MIT)
This course is designed for high-intermediate ESL students who need to develop better listening comprehension and oral skills, which will primarily be achieved by detailed instructions on pronunciation. Our focus will be on (1) producing accurate and intelligible English, (2) becoming more comfortable listening to rapidly spoken English, and (3) learning common expressions, gambits, and idioms used in both formal and informal contexts.
24.964 Topics in Phonology (MIT)
This course introduces students to the theory and practice of modeling phonology, with an empirical focus on modeling the discovery of static phonotactics, the discovery of alternations, learning in the midst of variation and exceptions, and the discovery of gradient patterns. This course is also intended to provide hands-on experience with various aspects of using and developing models, including preparing training data, running simulations, and interpreting their results.
MAS.712 How to Learn (Almost) Anything (MIT)
As the digital revolution brings with it radical changes in how and what we learn, people must continue to learn all the time. New technologies make possible new approaches to learning, new contexts for learning, new tools to support learning, and new ideas of what can be learned. This course will explore these new opportunities for learning with a special focus on what can be learned through immersive, hands-on activities. Students will participate in (and reflect on) a variety of learning situ
9.65 Cognitive Processes (MIT)
This undergraduate course is designed to introduce students to cognitive processes. The broad range of topics covers each of the areas in the field of cognition, and presents the current thinking in this discipline. As an introduction to human information processing and learning, the topics include the nature of mental representation and processing, the architecture of memory, pattern recognition, attention, imagery and mental codes, concepts and prototypes, reasoning and problem solving.
15.969 Dynamic Leadership: Using Improvisation in Business (MIT)
The first two weeks of this course are an overview of performing improvisation with introductory and advanced exercises in the techniques of improvisation. The final four weeks focus on applying these concepts in business situations to practice and mastering these improvisation tools in leadership learning.
6.092 Bioinformatics and Proteomics (MIT)
This interdisciplinary course provides a hands-on approach to students in the topics of bioinformatics and proteomics. Lectures and labs cover sequence analysis, microarray expression analysis, Bayesian methods, control theory, scale-free networks, and biotechnology applications. Designed for those with a computational and/or engineering background, it will include current real-world examples, actual implementations, and engineering design issues. Where applicable, engineering issues from signal
6.776 High Speed Communication Circuits (MIT)
6.776 covers circuit level design issues of high speed communication systems, with primary focus being placed on wireless and broadband data link applications. Specific circuit topics include transmission lines, high speed and low noise amplifiers, VCO's, mixers, power amps, high speed digital circuits, and frequency synthesizers. In addition to learning analysis skills for the above items, students will gain a significant amount of experience in simulating RF circuits in SPICE and also building
HST.723 Neural Coding and Perception of Sound (MIT)
This course focuses on neural structures and mechanisms mediating the detection, localization and recognition of sounds. Discussions cover how acoustic signals are coded by auditory neurons, the impact of these codes on behavioral performance, and the circuitry and cellular mechanisms underlying signal transformations. Topics include temporal coding, neural maps and feature detectors, learning and plasticity, and feedback control. General principles are conveyed by theme discussions of auditory
18.465 Topics in Statistics: Nonparametrics and Robustness (MIT)
This graduate-level course focuses on one-dimensional nonparametric statistics developed mainly from around 1945 and deals with order statistics and ranks, allowing very general distributions. For multidimensional nonparametric statistics, an early approach was to choose a fixed coordinate system and work with order statistics and ranks in each coordinate. A more modern method, to be followed in this course, is to look for rotationally or affine invariant procedures. These can be based on empiri
11.947 Sustainable Economic Development (MIT)
This course explores the application of environmental and economic development planning, policy and management approaches to urban neighborhood community development. Through an applied service learning approach, the course requires students to prepare a sustainable development plan for a community-based non-profit organization. Through this client-based planning project, students will have the opportunity to test how sustainable development concepts and different economic and environmental plan
9.66J Computational Cognitive Science (MIT)
This course is an introduction to computational theories of human cognition. Drawing on formal models from classic and contemporary artificial intelligence, students will explore fundamental issues in human knowledge representation, inductive learning and reasoning. What are the forms that our knowledge of the world takes? What are the inductive principles that allow us to acquire new knowledge from the interaction of prior knowledge with observed data? What kinds of data must be available to hu
ESD.801 Leadership Development (MIT)
This seminar meets six times during the semester. Students work in a seminar environment to develop leadership capabilities. An initial Outward Bound experience builds trust, teamwork and communications. Readings and assignments emphasize the characteristics of great leadership. Global leaders participate in the "Leadership Lunch" series to share their experiences and recommendations. Discussions explore leadership development. The learning experience culminates in a personal leadership plan.
21F.108 Chinese II (Streamlined) (MIT)
This course, along with 21F.107 / 21F.157 Chinese I (Streamlined) offered in the previous fall, form the elementary level of the streamlined sequence, which is intended for students who, when they began the sequence at beginning level, had basic conversational skills (gained, typically, from growing up in a Chinese speaking environment), but lacked a corresponding level of literacy. The focus of the course is on learning standard usage of expressions for everyday use, on reading in both traditio
9.29J Introduction to Computational Neuroscience (MIT)
This course gives a mathematical introduction to neural coding and dynamics. Topics include convolution, correlation, linear systems, game theory, signal detection theory, probability theory, information theory, and reinforcement learning. Applications to neural coding, focusing on the visual system are covered, as well as Hodgkin-Huxley and other related models of neural excitability, stochastic models of ion channels, cable theory, and models of synaptic transmission. Visit the Seung Lab Web s
9.641J Introduction to Neural Networks (MIT)
This course explores the organization of synaptic connectivity as the basis of neural computation and learning. Perceptrons and dynamical theories of recurrent networks including amplifiers, attractors, and hybrid computation are covered. Additional topics include backpropagation and Hebbian learning, as well as models of perception, motor control, memory, and neural development.
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