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)
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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.
Surveys research which incorporates psychological evidence into economics. Prospect theory. Biases in probabilistic judgment. Self-control and mental accounting with implications for consumption and savings. Fairness, altruism, and public goods contributions. Financial market anomalies and theories. Impact of markets, learning, and incentives. Some evidence on memory, attention, categorization, and the thinking process.
MIT researcher Deb Roy wanted to understand how his infant son learned language -- so he wired up his house with videocameras to catch every moment (with exceptions) of his son's life, then parsed 90,000 hours of home video to watch "gaaaa" slowly turn into "water." Astonishing, data-rich research with deep implications for how we learn. Deb Roy studies how children learn language, and designs machines that learn to communicate in human-like ways. On sabbatical from MIT Media Lab, he's working with the AI company Bluefin Labs. A quiz, thought provoking question, and links for further study are provided to create a lesson around the 20-minute video. Educators may use the platform to easily "Flip" or create their own lesson for use with their students of any age or level.
Developed from the original series The Brain, these flexible resources offer extensive footage and research into the inner workings of this amazing human organ, including findings on Alzheimer's disease, schizophrenia, autism, Parkinson's disease, and many other topics. The modules are appropriate for use in general and advanced courses in psychology, abnormal and physiological psychology, neuropsychology, and occupational therapy. Video teaching modules for college and high school classrooms and adult learners; 32 video modules (from 5 to 20 minutes in length) and guide.
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.
The Culturally Authentic Pictorial Lexicon provides CC licensed images for your CC licensed foreign language teaching materials .
This course is designed to provide an understanding of how the human brain works in health and disease, and is intended for both the Brain and Cognitive Science major and the non-Brain and Cognitive Science major. Knowledge of how the human brain works is important for all citizens, and the lessons to be learned have enormous implications for public policy makers and educators. The course will cover the regional anatomy of the brain and provide an introduction to the cellular function of neurons, synapses and neurotransmitters. Commonly used drugs that alter brain function can be understood through a knowledge of neurotransmitters. Along similar lines, common diseases that illustrate normal brain function will be discussed. Experimental animal studies that reveal how the brain works will be reviewed. Throughout the seminar we will discuss clinical cases from Dr. Byrne's experience that illustrate brain function; in addition, articles from the scientific literature will be discussed at each class.
Hierbei handelt es sich um die Beschreibung des Workshops "Reaktive Voodoopuppen" im Rahmen der Code Week 2014.
Das Projekt wurde von Marie Beuthel und Anne Wohlauf vom Design Research Lab der Universität der Künste Berlin an der Oberschule "Heinrich von Kleist" in Frankfurt (Oder) durchgeführt.
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.
Used for students receiving Advanced Placement credit and transfer credit. Program of study or research to be arranged with a Department faculty member. Written report required. Permission of Department required.
Basic principles of learning are always operating and always influencing human behavior. This module discusses the two most fundamental forms of learning -- classical (Pavlovian) and instrumental (operant) conditioning. Through them, we respectively learn to associate 1) stimuli in the environment, or 2) our own behaviors, with significant events, such as rewards and punishments. The two types of learning have been intensively studied because they have powerful effects on behavior, and because they provide methods that allow scientists to analyze learning processes rigorously. This module describes some of the most important things you need to know about classical and instrumental conditioning, and it illustrates some of the many ways they help us understand normal and disordered behavior in humans. The module concludes by introducing the concept of observational learning, which is a form of learning that is largely distinct from classical and operant conditioning.
This 13-minute video lesson discusses collective learning and how symbolic language drives collective learning and how this is one of the truly differentiating aspects of human beings relative to the rest of the animal kingdom. [Cosmology and Astronomy playlist: Lesson 82 of 85]
In this course, you'll explore your own cultural competence in the classroom; apply multiculturalism to problem-solving; receive training on service learning; and discuss how to create and sustain connections with classrooms around the world.
Thinking about the types of media that you are using in your teaching resource, write a short risk assessment identifying IPR/copyright issues that you may face.
Who may view your teaching resource?
Who else may access and use the teaching resource?
Who is providing information/content for your teaching resource?
How public is the information that you are using and/or providing?
Are you using examples of students’ work?
How might your project be used in a public space? Identify aspects concerning issues of ethics, dissemination and responsibilities related to ownership of project content in a public space.
Why is using a multi-media approach useful to your teaching resource?
You may want to consider the possibilities from the perspectives of your students, your colleagues, yourself and across the education sector.
Aim of session: What do you want your learners to achieve?
Outline of content: Short description of learning activities/learning outcomes.
Risk factors/copyright issues: Identifying what they are within your resources
Licences required: Identifying what licenses are involved
Identifying online learning aims and outcomes