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.

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.

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.

Explores the theory and research related to information processing, focusing on attention, perception, memory storage and information retrieval. Also highlights work in artificial intelligence and cognitive neuroscience which serves to describe and explain cognitive processes.

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)

This textbook presents core concepts common to introductory courses. The 15 units cover the traditional areas of intro-to-psychology; ranging from biological aspects of psychology to psychological disorders to social psychology. This book can be modified: feel free to add or remove modules to better suit your specific needs.

This book includes a comprehensive instructor's manual, PowerPoint presentations, a test bank, reading anticipation guides, and adaptive student quizzes.

This textbook presents core concepts common to introductory courses. The 15 units cover the traditional areas of intro-to-psychology; ranging from biological aspects of psychology to psychological disorders to social psychology. This book can be modified: feel free to add or remove modules to better suit your specific needs.

This book includes a comprehensive instructor's manual, PowerPoint presentations, a test bank, reading anticipation guides, and adaptive student quizzes.

Table of Contents
Intro to Psychology as a Science
Research in Psychology
Biology as the Basis of Behavior
Developmental Psychology
Sensation and Perception
Consciousness
Learning
Memory
Cognition, Language & Intelligence
Emotion and Motivation
Personality
Psychological Disorders
Therapies
Social Psychology
Psychological Health

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.

The NOBA Project is a growing collection of expert-authored, open-licensed modules in psychology, funded by the Diener Education Fund. From these open modules, Tori Kearns and Deborah Lee created an arranged open textbook for her introductory psychology class. This textbook was created under a Round One ALG Textbook Transformation Grant.

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.

Organization of synaptic connectivity as the basis of neural computation and learning. Single and multilayer perceptrons. Dynamical theories of recurrent networks: amplifiers, attractors, and hybrid computation. Backpropagation and Hebbian learning. Models of perception, motor control, memory, and neural development. Alternate years.

" This course is an introduction to the mammalian nervous system, with emphasis on the structure and function of the human brain. Topics include the function of nerve cells, sensory systems, control of movement, learning and memory, and diseases of the brain."

This course is a survey of the scientific study of human nature, including how the mind works, and how the brain supports the mind. Topics include the mental and neural bases of perception, emotion, learning, memory, cognition, child development, personality, psychopathology, and social interaction. Students will consider how such knowledge relates to debates about nature and nurture, free will, consciousness, human differences, self, and society.

This textbook represents the entire catalog of Noba topics. It contains 90 learning modules covering every area of psychology commonly taught in introductory courses. This book can be modified: feel free to rearrange or remove modules to better suit your specific needs.Please note that the publisher requires you to login to access and download the textbooks.

"The mammalian brain easily outperforms any computer. It adapts and changes constantly. Most importantly, the brain enables us to continuously learn and remember. What are the molecular mechanisms that lead to learning and memory? What are the cellular roles that activity-regulated gene products play to implement changes in the brain?How do nerve cells, their connections (synapses), and brain circuits change over time to store information? We will discuss the molecular mechanisms of neuronal plasticity at the synaptic, cellular and circuit levels, especiallysynapse formation,synaptic growth and stabilization,synaptic transmission,axonal and dendritic outgrowth, andcircuit formationWe will learn about the roles of some activity-regulated genes as well as the tools and techniques employed in modern neuroscience. Our goal will be to understand molecular mechanisms the brain employs to accomplish learning and memory.This course is one of many Advanced Undergraduate Seminars offered by the Biology Department at MIT. These seminars are tailored for students with an interest in using primary research literature to discuss and learn about current biological research in a highly interactive setting. Many instructors of the Advanced Undergraduate Seminars are postdoctoral scientists with a strong interest in teaching."