6.090 Building Programming Experience: A Lead-In to 6.001 (MIT)
This course will serve as a two-week aggressively gentle introduction to programming for those students who lack background in the field. Specifically targeted at students with little or no programming experience, the course seeks to reach students who intend to take 6.001 and feel they would struggle because they lack the necessary background. The main focus of the subject will be acquiring programming experience: instruction in programming fundamentals coupled with lots of practice problems. L
15.348 Doctoral Seminar in Research Methods II (MIT)
A large proportion of contemporary research on organizations, strategy and management relies on quantitative research methods. This course is designed to provide an introduction to some of the most commonly used quantitative techniques, including logit/probit models, count models, event history models, and pooled cross-section techniques.
MAS.963 Ambient Intelligence (MIT)
This course focuses on Ambient Intelligence, and how it envisions a world where people are surrounded by intelligent and intuitive interfaces embedded in the everyday objects around them. These interfaces recognize and respond to the presence and behavior of an individual in a personalized and relevant way. Students are required to do extensive literary research on the subject and participate in class discussions.
6.892 Computational Models of Discourse (MIT)
This course is a graduate level introduction to automatic discourse processing. The emphasis will be on methods and models that have applicability to natural language and speech processing. The class will cover the following topics: discourse structure, models of coherence and cohesion, plan recognition algorithms, and text segmentation. We will study symbolic as well as machine learning methods for discourse analysis. We will also discuss the use of these methods in a variety of applications ra
9.56J Abnormal Language (MIT)
Introduction to the linguistic study of language pathology, concentrating on experimental approaches and theoretical explanations. Discussion of Specific Language Impairment, autism, Down syndrome, Williams syndrome, normal aging, Parkinson's disease, Alzheimer's disease, hemispherectomy and aphasia. Focuses on the comparison of linguistic abilities among these syndromes, while drawing clear comparisons with first and second language acquisition. Topics include the lexicon, morphology, syntax, s
Course Introduction by Charles Coleman
Course - Group - Course Introduction by Charles Coleman - MIT > Unified Engineering I, II, III, & IV > Course Introduction by Charles Coleman
24.263 The Nature of Creativity (MIT)
This course is an introduction to problems about creativity as it pervades human experience and behavior. Questions about imagination and innovation are studied in relation to the history of philosophy as well as more recent work in philosophy, affective psychology, cognitive studies, and art theory. Readings and guidance are aligned with the student's focus of interest.
soc1a06-c01 - Section C01 - w6.1 Immigration - McMaster University > Courses > SOC1A06 Introduction to Sociology > Section C01 > w6.1 Immigration
12.102 Environmental Earth Science (MIT)
The geologic record demonstrates that our environment has changed over a variety of time scales from seconds to billions of years. This course explores the many ways in which geologic processes control and modify the Earth's environment and serves as an introduction to Environmental Earth Science Field Course (12.120), which addresses field applications of these principles in the American Southwest.
6.864 Advanced Natural Language Processing (MIT)
This course is a graduate introduction to natural language processing - the study of human language from a computational perspective. It covers syntactic, semantic and discourse processing models, emphasizing machine learning or corpus-based methods and algorithms. It also covers applications of these methods and models in syntactic parsing, information extraction, statistical machine translation, dialogue systems, and summarization. The subject qualifies as an Artificial Intelligence and Applic
HST.410J Projects in Microscale Engineering for the Life Sciences (MIT)
This course is a project-based introduction to manipulating and characterizing cells and biological molecules using microfabricated tools. It is designed for first year undergraduate students. In the first half of the term, students perform laboratory exercises designed to introduce (1) the design, manufacture, and use of microfluidic channels, (2) techniques for sorting and manipulating cells and biomolecules, and (3) making quantitative measurements using optical detection and fluorescent labe
8.231 Physics of Solids I (MIT)
This course offers an introduction to the basic concepts of the quantum theory of solids.
ESD.04J Frameworks and Models in Engineering Systems / Engineering System Design (MIT)
This class provides an introduction to quantitative models and qualitative frameworks for studying complex engineering systems. Also taught is the art of abstracting a complex system into a model for purposes of analysis and design while dealing with complexity, emergent behavior, stochasticity, non-linearities and the requirements of many stakeholders with divergent objectives. The successful completion of the class requires a semester-long class project that deals with critical contemporary is
2.003J Dynamics and Control I (MIT)
This class is an introduction to the dynamics and vibrations of lumped-parameter models of mechanical systems. Topics include kinematics; force-momentum formulation for systems of particles and rigid bodies in planar motion; work-energy concepts; virtual displacements and virtual work; Lagrange's equations for systems of particles and rigid bodies in planar motion; linearization of equations of motion; linear stability analysis of mechanical systems; free and forced vibration of linear multi-deg
12.425 Extrasolar Planets: Physics and Detection Techniques (MIT)
This course covers the basic principles of planet atmospheres and interiors applied to the study of extrasolar planets (exoplanets). We focus on fundamental physical processes related to observable exoplanet properties. We also provide a quantitative overview of detection techniques and an introduction to the feasibility of the search for Earth-like planets, biosignatures and habitable conditions on exoplanets.
15.963 Management Accounting and Control (MIT)
This course is an introduction to the use of accounting information by managers for decision making, performance evaluation and control. The course should be useful for those who intend to work as management consultants, for LFM (Leaders for Manufacturing) students, and in general, for those who will become senior managers.
12.815 Atmospheric Radiation (MIT)
This is an introduction to the physics of atmospheric radiation and remote sensing including use of computer codes. Subjects covered include: radiative transfer equation including emission and scattering, spectroscopy, Mie theory, and numerical solutions. We examine the solution of inverse problems in remote sensing of atmospheric temperature and composition.
21L.011 The Film Experience (MIT)
This course is an introduction to narrative film, emphasizing the unique properties of the movie house and the motion picture camera, the historical evolution of the film medium, and the intrinsic artistic qualities of individual films. The primary focus is on American cinema, but secondary attention is paid to works drawn from other great national traditions, such as France, Italy, and Japan. The syllabus includes such directors as Griffith, Keaton, Chaplin, Renoir, Ford, Hitchcock, Altman, De
6.080 Great Ideas in Theoretical Computer Science (MIT)
This course provides a challenging introduction to some of the central ideas of theoretical computer science. It attempts to present a vision of "computer science beyond computers": that is, CS as a set of mathematical tools for understanding complex systems such as universes and minds. Beginning in antiquity—with Euclid's algorithm and other ancient examples of computational thinking—the course will progress rapidly through propositional logic, Turing machines and computability, fin
11.958 Getting Things Implemented: Strategy, People, Performance, and Leadership (MIT)
An old saying holds that "there are many more good ideas in the world than good ideas implemented." This is a case based introduction to the fundamentals of effective implementation. Developed with the needs and interests of planners—but also with broad potential application—in mind, this course is a fast paced, case driven introduction to developing strategy for organizations and projects, managing operations, recruiting and developing talent, taking calculated risks, measuring resu