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.

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.

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)

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.

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."

When you teach Introduction to Psychology, do you find it difficult — much harder than teaching classes in statistics or research methods? Do you easily give a lecture on the sympathetic nervous system, a lecture on Piaget, and a lecture on social cognition, but struggle with linking these topics together for the student? Do you feel like you are presenting a laundry list of research findings rather than an integrated set of principles and knowledge? Have you wondered how to ensure your course is relevant to your students? Introduction to Psychology utilizes the dual theme of behavior and empiricism to make psychology relevant to intro students. The author wrote this book to help students organize their thinking about psychology at a conceptual level. Five or ten years from now, he does not expect his students to remember the details of most of what he teaches them. However, he does hope that they will remember that psychology matters because it helps us understand behavior and that our knowledge of psychology is based on empirical study.

This is a derivative of INTRODUCTION TO PSYCHOLOGY by a publisher who has requested that they and the original author not receive attribution, which was originally released and is used under CC BY-NC-SA. This work, unless otherwise expressly stated, is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

The Introduction to Psychology course was developed through the Ohio Department of Higher Education OER Innovation Grant. This work was completed and the course was posted in September 2018. The course is part of the Ohio Transfer Module and is also named OSS015. For more information about credit transfer between Ohio colleges and universities please visit: www.ohiohighered.org/transfer.Team LeadVincent Granito                                    Lorain County Community CollegeContent ContributorsNicole Brandt                                       Columbus State Community CollegeLynne Gabriel                                      Lakeland Community CollegeJackie Sample                                     Central Ohio Technical CollegeLibrarianRachel Dilley                                       Columbus State Community CollegeReview TeamMelissa Beers                                      Ohio State UniversityBryan Gerber                                        Stark State College

How to Use this GuideThis guide provides information and resources on teaching learning concepts in an Introduction to Psychology course. All resources are Open Access and can be downloaded or added to a Course Management System (LMS) via the hyperlinks.Introduction This section introduces students to different ways to conceptualize memory..  Specifically, students will be introduced to memory processes, theories of memory, forgetting, and ways to examine memory.  Memory is a core topic in the APA’s recommendations for Strengthening General Psychology, and is also a core topic in the Ohio TAG learning objectives. This topic is required for all Introduction to Psychology courses in Ohio as part of Pillar 2: Cognitive.  The Ohio TAG requirements call for a second topic to be included from this pillar, which can be Cognition, Perception, or Intelligence.

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 course syllabus explores the practice of public history in the digital realm. Students will learn what public history as an academic sub-field is, how it is influenced by internet cultures, and consider its application outside of university settings. Special emphasis will be placed on experiential learning in this course, with a focus on digital oral history as one form of public history practice. Oral history. Students will learn to research and conduct their own online oral history interview.

Learn Arabic is a website that aims to teach Arabic via games and activities. Members can compete for top spots as they earn badges by completing lessons. The lessons start with the alphabet and all of its variations and move up through simple words and phrases. Plans are in the works to add more complicated lessons for intermediate and advanced learners. Lessons include interactive books, videos, games, vocabulary lists, and more depending on the lesson. Users can sign up for Arabic tips emailed to them. The site includes a blog as well.

"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."