Examination of the cultural and artistic developments of the twentieth century in Europe and the United States, surveying the artwork of Cubism, Fauvism, Futurism, Expressionism, Dadaism, Surrealism, Pop Art, and Op-Art, and Modern and Postmodern architecture.
Introduce students to the creative design process, based on the scientific method and peer review, by application of fundamental principles and learning to complete projects according to schedule and within budget. Subject relies on active learning through a major team-based design-and-build project focused on the need for a new consumer product identified by each team. Topics to be learned while teams create, design, build, and test their product ideas include formulating strategies, concepts and modules, and estimation, concept selection, machine elements, design for manufacturing, visual thinking, communication, teamwork, and professional responsibilities.
Students and professionals in science, design and technology have to develop and communicate concepts that are often difficult to comprehend for the public, their peers and even themselves.
IMAGE | ABILITY – Visualizing the Unimaginable, will help you enhance your communication and interpersonal skills and provide insight, tips and tricks to make such complex and seemingly unimaginable concepts and ideas imaginable.
After finishing this course you will be more skilled in finding the right visual language to convey your ideas, thoughts and vision. You will be able to illustrate units and quantities, concepts and themes and you will know how to unravel complexity by using diagrams and schemes.
This is a discussion-based interactive seminar on the two major issues that affect Sub-Saharan Africa: HIV/AIDS and Poverty. AIDS and Poverty, seemingly different concepts, are more inter-related to each other in Africa than in any other continent. As MIT students, we feel it is important to engage ourselves in a dynamic discussion on the relation between the two - how to fight one and how to solve the other.
Relevant material from MIT's introductory courses to support students as they study and educators as they teach the AP Physics curriculum.
- Material Type:
- Full Course
- Provider Set:
- M.I.T. OpenCourseWare
- Belcher, John
- Chakrabarty, Deepto
- Dourmashkin, Peter
- Feld, Michael
- Fisher, Peter
- Hudson, Eric
- Joannopoulos, John
- Katsavounidis, Erik
- Knuteson, Bruce
- Kowalski, Stanley
- Lewin, Walter
- Litster, J. David
- Pritchard, David
- Roland, Gunther
- Scholberg, Kate
- Sciolla, Gabriella
- Shaw, Michael
- Stephans, George
- Surrow, Bernd
- Date Added:
This five-day program on evaluating social programs will provide a thorough understanding of randomized evaluations and pragmatic step-by-step training for conducting one's own evaluation. While the course focuses on randomized evaluations, many of the topics, such as measuring outcomes and dealing with threats to the validity of an evaluation, are relevant for other methodologies. About the Abdul Latif Jameel Poverty Action Lab J-PAL's goal is to reduce poverty by ensuring that policy is based on scientific evidence. Every day, evidence generated by J-PAL researchers is influencing policy and improving lives, sometimes very directly - for example through the scale-up of effective programs- but also in less direct but equally important ways. To date, our evidence has helped improve the lives of at least 30 million people around the world through the scale-up of highly effective policies and programs. By 2013, J-PAL aims to have positively impacted 100 million lives.
This course will help to define abnormal and normal behaviors and to group these abnormal phenomena into 'disorders.' It will cover the basic concepts surrounding the diagnosis and treatment of abnormal psychological phenomena. The student will investigate the characteristics, epidemiology, controversy, and treatment of individual disorders. The student will begin by defining normal versus abnormal behavior and reviewing the historical context in which abnormal psychology emerged, then discuss the major theories or paradigms associated with abnormal psychology, the classification system used to differentiate and define disorders, and the research methods often utilized in the study of abnormal psychology. Upon successful completion of this course the student will be able to: describe the historical context from which the current conceptualization of abnormal psychology has evolved; identify and describe the main theoretical perspectives/paradigms which have influenced the field of abnormal psychology; identify and differentiate the classification of psychological disorders; evaluate treatment approaches; explain the major research findings for each group of disorders and how they add to our knowledge of the causes and treatment of psychological disorders. (Psychology 401)
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, semantics and pragmatics. Relates the lost linguistic abilities in these syndromes to properties of the brain.
The Abstract Algebra course was developed through the Ohio Department of Higher Education OER Innovation Grant. This work was completed and the course was posted in September 2019. Team LeadAnna Davis Ohio Dominican UniversityContent ContributorsMatt Davis Muskingum UniversityRob Kelvey College of WoosterLibrarianDaniel Dotson Ohio State University Review TeamJim Cottrill Ohio Dominican UniversityBart Snapp Ohio State University
This course is a continuation of Abstract Algebra I: the student will revisit structures like groups, rings, and fields as well as mappings like homomorphisms and isomorphisms. The student will also take a look at ring factorization, general lattices, and vector spaces. Later this course presents more advanced topics, such as Galois theory - one of the most important theories in algebra, but one that requires a thorough understanding of much of the content we will study beforehand. Upon successful completion of this course, students will be able to: Compute the sizes of finite groups when certain properties are known about those groups; Identify and manipulate solvable and nilpotent groups; Determine whether a polynomial ring is divisible or not and divide the polynomial (if it is divisible); Determine the basis of a vector space, change bases, and manipulate linear transformations; Define and use the Fundamental Theorem of Invertible Matrices; Use Galois theory to find general solutions of a polynomial over a field. (Mathematics 232)
Acceso is a complete, interactive curriculum for intermediate-level learners of Spanish. The materials on the site are provided freely to the public and are intended as a replacement for commercial textbooks, which are generally ill-suited to the learning outcomes now considered crucial to successful language study. These materials are supplemented by an online workbook built on the MySpanishLab platform of Pearson Education, Inc., as well as detailed lesson plans, rubrics for the evaluation of student work, and reliable instruments for measuring student progress and learning outcomes.Winner of 2012 Computer Assisted Language Consortium (CALICO) Focus AwardReviewed in:CALICO Journal 29.2 (Jan 2012): 398-405.Hispania 95.2 (June 2012): 365-366
Though accounting may seem like a dense and complex subject, this course is designed to present the accounting cycle in an accessible and logical manner. It will provide you with a solid understanding of basic accounting principles and will introduce you to financial statement analysis.
Provides acoustical background necessary to understand the role of sound in speech communication. Analyzes constraints imposed by the properties of sound and human anatomy on speech production (sound production from airflow and filtering by the vocal tract); auditory physiology (transformation of acoustical waves in the air to mechanical vibrations of cochlear structures); and sound perception (spatial hearing, masking, and auditory frequency selectivity). The Acoustics of Speech and Hearing is an H-Level graduate course that reviews the physical processes involved in the production, propagation and reception of human speech. Particular attention is paid to how the acoustics and mechanics of the speech and auditory system define what sounds we are capable of producing and what sounds we can sense. Areas of discussion include: 1. the acoustic cues used in determining the direction of a sound source, 2. the acoustic and mechanical mechanisms involved in speech production and 3. the acoustic and mechanical mechanism used to transduce and analyze sounds in the ear
This course covers techniques for and critical thinking about the evaluation of changes in educational practices and policies in schools, organizations, and informal contexts. Topics include quantitative and qualitative methods for design and analysis, participatory design of practices and policies, institutional learning, the wider reception or discounting of evaluations, and selected case studies, including those arising from semester-long student projects.
"The 16 lectures in this course cover the topics of adaptive antennas and phased arrays. Both theory and experiments are covered in the lectures. Part one (lectures 1 to 7) covers adaptive antennas. Part two (lectures 8 to 16) covers phased arrays. Parts one and two can be studied independently (in either order). The intended audience for this course is primarily practicing engineers and students in electrical engineering. This course is presented by Dr. Alan J. Fenn, senior staff member at MIT Lincoln Laboratory. Online Publication"
The course consists of lectures, readings, discussions, panels of guest speakers, group and individual projects. The purpose of the lectures, readings, discussion and panels of guest speakers is to explore a variety of aspects of adolescence and adolescent health. The group and individual projects are meant to help students develop skills to work in multi-disciplinary teams and analyze adolescent health concerns through conceptual frameworks and recommend effective solutions through interventions.
" This is a graduate course on the design and analysis of algorithms, covering several advanced topics not studied in typical introductory courses on algorithms. It is especially designed for doctoral students interested in theoretical computer science."
A comprehensive treatment of the advanced methods of applied mathematics. Designed to strengthen the mathematical abilities of graduate students and train them to think on their own. Review of elementary methods in complex analysis, ordinary differential equations, and partial differential equations. Expansions around regular and irregular singular points; asymptotic evaluation of integrals, regular perturbations; WKB method; multiple scale method; boundary-layer techniques.
Reviews selected issues including learning, cognition, perception, foraging and feeding, migration and navigation, defense, and social activities including conflict, collaboration, courtship and reproduction, and communication. The interacting contributions of environment and heredity are examined and the approaches of psychology, ethology, and ecology to this area of study are treated. The relation of human behavior patterns to those of nonhuman animals is explored. Additional readings and a paper are required for graduate credit.
This course will present advanced topics in Artificial Intelligence (AI), including inquiries into logic, artificial neural network and machine learning, and the Turing machine. Upon successful completion of this course, students will be able to: define the term 'intelligent agent,' list major problems in AI, and identify the major approaches to AI; translate problems into graphs and encode the procedures that search the solutions with the graph data structures; explain the differences between various types of logic and basic statistical tools used in AI; list the different types of learning algorithms and explain why they are different; list the most common methods of statistical learning and classification and explain the basic differences between them; describe the components of Turing machine; name the most important propositions in the philosophy of AI; list the major issues pertaining to the creation of machine consciousness; design a reasonable software agent with java code. (Computer Science 408)