This module explains the different kinds of memory, some common memory organizations, and the basics of conserving memory.

This unit looks at two topics that are of immense worldwide social, economic, ethical, and political importance – ‘addiction’ and ‘neural ageing’. You will develop a Master's level approach to the study of specific issues within these two important subject areas.

This course is an investigation of affective priming and creation of rigorously counterbalanced, fully computerized testing paradigm. Includes background readings, study design, counterbalancing, study execution, data analysis, presentation of poster, and final paper.

What is a "life" when it's written down? How does memory inform the present? Why are memoirs so popular? This course will address these questions and others, considering the relationship between biography, autobiography, and memoir and between personal and social themes. We will closely examine some recent memoirs: Tobias Wolff's This Boy's Life, Barack Obama's Dreams From My Father, Edwidge Danticat's Brother, I'm Dying, Ayaan Hirsi Ali's Infidel, and Alison Bechdel's Fun Home. Students will write two brief papers: a critical essay and an experiment in memoir.As a "Sampling," this class offers 6 units, with a strong emphasis on close reading, group discussion, focused writing, and research and presentation skills.

Survey of principles underlying the structure and function of the nervous system, integrating molecular, cellular, and systems approaches. Topics: development of the nervous system and its connections, cell biology or neurons, neurotransmitters and synaptic transmission, sensory systems of the brain, the neuroendocrine system, the motor system, higher cortical functions, behavioral and cellular analyses of learning and memory. First half of an intensive two-term survey of brain and behavioral studies for first-year graduate students. Open to graduate students in other departments, with permission of instructor.

This class is the second half of an intensive survey of cognitive science for first-year graduate students. Topics include visual perception, language, memory, cognitive architecture, learning, reasoning, decision-making, and cognitive development. Topics covered are from behavioral, computational, and neural perspectives.

See description under subject 7.29J.

This course explores the cognitive and neural processes that support attention, vision, language, motor control, navigation, and memory. It introduces basic neuroanatomy, functional imaging techniques, and behavioral measures of cognition, and discusses methods by which inferences about the brain bases of cognition are made. We consider evidence from patients with neurological diseases (Alzheimer's disease, Parkinson's disease, Huntington's disease, Balint's syndrome, amnesia, and focal lesions from stroke) and from normal human participants.

An introduction to human information processing and learning; 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.

This course will introduce you to cognitive psychology. Memory, along with attention, perception, language, and decision making, are among the most prominent topics within this broad and diverse field. Upon successful completion of this course, students will be able to: Identify underlying theoretical considerations in the field of cognitive psychology; Describe the historical context in which cognitive psychology emerged as a field; Define cognitive psychology as is was historically defined and is now defined; Identify the main academic fields and other subdisciplines of psychology to which cognitive psychology is tied; Describe the main findings in the primary areas of scientific research within cognitive psychology; Compare and contrast the theories associated within the primary areas of scientific research in cognitive psychology (e.g., models of memory, attention, etc.). (Psychology 206)

The purpose of this course is to cultivate an understanding of modern computing technology through an in-depth study of the interface between hardware and software. The student will study the history of modern computing technology before learning about modern computer architecture, then the recent switch from sequential processing to parallel processing. Upon completion of this course, students will be able to: identify important advances that have taken place in the history of modern computing and discuss some of the latest trends in computing industry; explain how programs written in high-level programming language, such as C or Java, can be translated into the language of the hardware; describe the interface between hardware and software and explain how software instructs hardware to accomplish desired functions; demonstrate an understanding of the process of carrying out sequential logic design; demonstrate an understanding of computer arithmetic hardware blocks and floating point representation; explain how a hardware programming language is executed on hardware and how hardware and software design affect performance; demonstrate an understanding of the factors that determine the performance of a program; demonstrate an understanding of the techniques that designers use to improve the performance of programs running on hardware; demonstrate an understanding of the importance of memory hierarchy in computer design and explain how memory design impacts overall hardware performance; demonstrate an understanding of storage and I/O devices, their performance measurement, and redundant array of inexpensive disks (more commonly referred to by the acronym RAID) technology; list the reasons for and the consequences of the recent switch from sequential processing to parallel processing in hardware manufacture and explain the basics of parallel programming. (Computer Science 301)

Memory and state in systems.

Artists across cultures and throughout time have sought to incorporate the multifaceted connections between past and present in their artworks. In many ways, Catlin's lifelong quest and the eventual creation of his "Indian Gallery" can be seen as an attempt to connect what he felt to be the "past" of American Indian society to the "present" of nineteenth-century westward expansion by European Americans. As is evident today, Native American culture is very much alive and present in the fabric of America. Catlin, however, made it clear that he viewed his subjects as a "vanishing race" and sought to preserve their images for future generations. In this activity, students will create their own memory box, linking the past and the present, and in so doing examine Catlin's ideas and motives.

What is a dynamical system? When we talk about systems in the most general sense, we are talking about anything that takes in a certain number of inputs and produces a certain number of outputs based on those inputs.

In this course, the student will learn the theoretical and practical aspects of algorithms and Data Structures. The student will also learn to implement Data Structures and algorithms in C/C++, analyze those algorithms, and consider both their worst-case complexity and practical efficiency. Upon successful completion of this course, students will be able to: Identify elementary Data Structures using C/C++ programming languages; Analyze the importance and use of Abstract Data Types (ADTs); Design and implement elementary Data Structures such as arrays, trees, Stacks, Queues, and Hash Tables; Explain best, average, and worst-cases of an algorithm using Big-O notation; Describe the differences between the use of sequential and binary search algorithms. (Computer Science 201)

In this course, the student will examine the revolutionary energy, fascination with nature, desire to create art for the masses, and inward-facing focus of the Romantic period. First, the student will look at the broader socio-historical and literary context in which English Romantic poetry thrived, then examine the Romantic poet and the outer world, the Romantic poet and the inner world, and the poetry that bridges the gap between the two, attempting to understand what makes each poem 'Romantic.' Upon completion of this course, students will be able to: provide an account of Romanticism as both an historical period as well as a movement in art and literature; identify and explain Romanticism in terms of its relation to the French Revolution; describe the new views of society and social relations that arose during this era; explain the significance of industrialization, the rise of the working class, the expansion of British Empire, the heightening of British nationalism, and the rise of the press; explain Romanticism's relationship to Neo-Classicism; list and describe the major tenets of Romanticism, including the movement's interests in the natural world, supernaturalism, revolution, morality, ethics, exoticism, urbanization, mindscapes, moods, imagination, and interiority; provide an account of the nature and function of the Romantic craft of authorship. (English Literature 404)

Subject has three goals: introduces students to the classic works on ethnic politics, familiarizes students with new research and methodological innovations in the study of ethnic politics, and helps students design and execute original research projects related to ethnic politics. Readings drawn from across disciplines, including political science, anthropology, sociology, and economics. Students read across the four subfields within political science. Graduate students specializing in any subfield are encouraged to take this subject, regardless of their previous empirical or theoretical background. Subject designed as a year-long research workshop, but may also be taken in either semester. This course is designed mainly for political science graduate students conducting or considering conducting research on identity politics. While 17.504 Ethnic Politics I is designed as a primarily theoretical course, Ethnic Politics II switches the focus to methods. It aims to familiarize the student with the current conventional approaches as well as major challenges to them. The course discusses definition and measurement issues as well as briefly addressing survey techniques and modeling.

Surveys literature on human memory and learning. Focuses on the organization of memory at cognitive and neural levels, the basis of remembering and forgetting, and false memories. Cognitive theory and behavioral evidence are integrated with data from neuro-psychology and neuroimaging.

Principles of supervisory control and telerobotics. Different levels of automation are discussed, as well as the allocation of roles and authority between humans and machines. Human-vehicle interface design in highly automated systems. Decision aiding. Tradeoffs between human control and human monitoring. Automated alerting systems and human intervention in automatic operation. Enhanced human interface technologies such as virtual presence. Performance, optimization, and social implications of the human-automation system. Examples from aerospace, ground, and undersea vehicles, robotics, and industrial systems. Human Supervisory Control of Automated Systems discusses elements of the interactions between humans and machines. These elements include: assignment of roles and authority; tradeoffs between human control and human monitoring; and human intervention in automatic processes. Further topics comprise: performance, optimization and social implications of the system; enhanced human interfaces; decision aiding; and automated alterting systems. Topics refer to applications in aerospace, industrial and transportation systems.