David I Beaver

Prerequisites

Graduate Standing and Consent of Graduate Advisor required.

Course Description

An introduction to cognitive science, the new discipline emerging from the interaction of psychology, artificial intelligence, linguistics, philosophy, neuroscience, and evolutionary biology. The course will range broadly, examining a variety of approaches to the study of how humans and other intelligent systems represent, reason, understand, perceive, use language, learn, and plan purposeful actions. The central assumption is that the human mind is fundamentally a computational organ and that cognitive processes can be explicitly modeled. The course will cover the basic issues and contributions in the field, with particular emphasis on current research at UT. There will be frequent lectures by faculty from the relevant disciplines who are engaged in such research. Major topics in the course will include: * Neuroscience: systems neuroscience, functional brain mapping, relating localized brain damage to spared and damaged abilities, evolutionary biology. * Reasoning, Concepts, and Conceptual Development: categorization, children's theories of mind, nonmonotonic reasoning, qualitative reasoning, problem solving, mental models, schemas. * Computational Approaches: modularity, connectionism, symbol manipulation, knowledge representation, machine learning. * Language: speech perception, sentence parsing, natural language understanding, discourse representation, language acquisition, syntax. * Vision: computational theory, psychology of visual perception, visual imagination, attention, spatial reasoning. * Other Topics: Memory, Philosophy of Mind, Robotics, Implicit Knowledge, Emotion, Learning. Class will meet once a week for three hours with a break. Often we will have guest lecturers from around the University who are interested in Cognitive Science. These researchers will present aspects of their own work and its relationship to Cognitive Science as a whole. In addition, we will have periodic classes devoted to discussions of foundational issues in Cognitive Science. Class participation is important to this class, as it is to most seminars. Students are expected to do the readings each week and to come prepared to talk about issues related to those readings. While there will be guest speakers each week, it will always be appropriate to ask questions.

Grading Policy Grades will be assigned based on these factors: * 50%: Class attendance and participation, questions inspired by readings, and commentaries. Over the course of the semester, each student may miss 1.5 classes without penalty. Not participating in the class discussion is only marginally better than not attending class. Each class you will bring in two questions related to the assigned readings along with a short paragraph discussing what motivates the questions. * 10%: Homework and quizzes * 40%: Final project - cogsci grant application Policy on incompletes. No incompletes will be given. Policy on independence of work and plagiarism: You are encouraged to discuss the material presented in class with other students. All written work turned in by a student must be the independent work of that student. In the case of the collaborative projects, of course, the work must be the work only of the members of the group. Obviously, you are not to include text that you have not written without clear quotations and attributions of the original source.

Texts None.  Additional Materials Every week there will be additional readings. These readings will be available online as pdf files.

This is a graduate introduction to Semantics and Pragmatics, introducing students to basic logic, compositional interpretation, and the strategic reasoning involved in deciding what people mean by what they say. By the end, you should be able to follow a substantial portion of current work in the area. Topics covered include different notions of inference and entailment, presupposition, implicature, ambiguity, set theory, propositional logic, first order logic, lambda calculus for compositional interpretation, extraction and binding, quantification and generalized quantifiers , pronouns and ellipsis, basic dynamic semantics, basic intensionality and modality, event semantics, and tense and aspect.Grading PolicyThere will be assignments each week (40%), two reviews of recent journal papers (20%), and a take-home final (30%), plus a class participation component (10%).TextsIrene Helm and Angelika Kratzer. Semantics in Generative Grammar. Blackwell 1998.

Prerequisites

Graduate Standing and Consent of Graduate Advisor required.

Course Description

An introduction to cognitive science, the new discipline emerging from the interaction of psychology, artificial intelligence, linguistics, philosophy, neuroscience, and evolutionary biology. The course will range broadly, examining a variety of approaches to the study of how humans and other intelligent systems represent, reason, understand, perceive, use language, learn, and plan purposeful actions. The central assumption is that the human mind is fundamentally a computational organ and that cognitive processes can be explicitly modeled. The course will cover the basic issues and contributions in the field, with particular emphasis on current research at UT. There will be frequent lectures by faculty from the relevant disciplines who are engaged in such research. Major topics in the course will include: * Neuroscience: systems neuroscience, functional brain mapping, relating localized brain damage to spared and damaged abilities, evolutionary biology. * Reasoning, Concepts, and Conceptual Development: categorization, children's theories of mind, nonmonotonic reasoning, qualitative reasoning, problem solving, mental models, schemas. * Computational Approaches: modularity, connectionism, symbol manipulation, knowledge representation, machine learning. * Language: speech perception, sentence parsing, natural language understanding, discourse representation, language acquisition, syntax. * Vision: computational theory, psychology of visual perception, visual imagination, attention, spatial reasoning. * Other Topics: Memory, Philosophy of Mind, Robotics, Implicit Knowledge, Emotion, Learning. Class will meet once a week for three hours with a break. Often we will have guest lecturers from around the University who are interested in Cognitive Science. These researchers will present aspects of their own work and its relationship to Cognitive Science as a whole. In addition, we will have periodic classes devoted to discussions of foundational issues in Cognitive Science. Class participation is important to this class, as it is to most seminars. Students are expected to do the readings each week and to come prepared to talk about issues related to those readings. While there will be guest speakers each week, it will always be appropriate to ask questions.

Grading Policy Grades will be assigned based on these factors: * 50%: Class attendance and participation, questions inspired by readings, and commentaries. Over the course of the semester, each student may miss 1.5 classes without penalty. Not participating in the class discussion is only marginally better than not attending class. Each class you will bring in two questions related to the assigned readings along with a short paragraph discussing what motivates the questions. * 10%: Homework and quizzes * 40%: Final project - cogsci grant application Policy on incompletes. No incompletes will be given. Policy on independence of work and plagiarism: You are encouraged to discuss the material presented in class with other students. All written work turned in by a student must be the independent work of that student. In the case of the collaborative projects, of course, the work must be the work only of the members of the group. Obviously, you are not to include text that you have not written without clear quotations and attributions of the original source.

Texts None.  Additional Materials Every week there will be additional readings. These readings will be available online as pdf files.

Prerequisites

Graduate Standing and Consent of Graduate Advisor required.

Course Description

An introduction to cognitive science, the new discipline emerging from the interaction of psychology, artificial intelligence, linguistics, philosophy, neuroscience, and evolutionary biology. The course will range broadly, examining a variety of approaches to the study of how humans and other intelligent systems represent, reason, understand, perceive, use language, learn, and plan purposeful actions. The central assumption is that the human mind is fundamentally a computational organ and that cognitive processes can be explicitly modeled. The course will cover the basic issues and contributions in the field, with particular emphasis on current research at UT. There will be frequent lectures by faculty from the relevant disciplines who are engaged in such research. Major topics in the course will include: * Neuroscience: systems neuroscience, functional brain mapping, relating localized brain damage to spared and damaged abilities, evolutionary biology. * Reasoning, Concepts, and Conceptual Development: categorization, children's theories of mind, nonmonotonic reasoning, qualitative reasoning, problem solving, mental models, schemas. * Computational Approaches: modularity, connectionism, symbol manipulation, knowledge representation, machine learning. * Language: speech perception, sentence parsing, natural language understanding, discourse representation, language acquisition, syntax. * Vision: computational theory, psychology of visual perception, visual imagination, attention, spatial reasoning. * Other Topics: Memory, Philosophy of Mind, Robotics, Implicit Knowledge, Emotion, Learning. Class will meet once a week for three hours with a break. Often we will have guest lecturers from around the University who are interested in Cognitive Science. These researchers will present aspects of their own work and its relationship to Cognitive Science as a whole. In addition, we will have periodic classes devoted to discussions of foundational issues in Cognitive Science. Class participation is important to this class, as it is to most seminars. Students are expected to do the readings each week and to come prepared to talk about issues related to those readings. While there will be guest speakers each week, it will always be appropriate to ask questions.

Grading Policy Grades will be assigned based on these factors: * 50%: Class attendance and participation, questions inspired by readings, and commentaries. Over the course of the semester, each student may miss 1.5 classes without penalty. Not participating in the class discussion is only marginally better than not attending class. Each class you will bring in two questions related to the assigned readings along with a short paragraph discussing what motivates the questions. * 10%: Homework and quizzes * 40%: Final project - cogsci grant application Policy on incompletes. No incompletes will be given. Policy on independence of work and plagiarism: You are encouraged to discuss the material presented in class with other students. All written work turned in by a student must be the independent work of that student. In the case of the collaborative projects, of course, the work must be the work only of the members of the group. Obviously, you are not to include text that you have not written without clear quotations and attributions of the original source.

Texts None.  Additional Materials Every week there will be additional readings. These readings will be available online as pdf files.

This is a graduate introduction to Semantics and Pragmatics, introducing students to basic logic, compositional interpretation, and the strategic reasoning involved in deciding what people mean by what they say. By the end, you should be able to follow a substantial portion of current work in the area. Topics covered include different notions of inference and entailment, presupposition, implicature, ambiguity, set theory, propositional logic, first order logic, lambda calculus for compositional interpretation, extraction and binding, quantification and generalized quantifiers , pronouns and ellipsis, basic dynamic semantics, basic intensionality and modality, event semantics, and tense and aspect.Grading PolicyThere will be assignments each week (40%), two reviews of recent journal papers (20%), and a take-home final (30%), plus a class participation component (10%).TextsIrene Helm and Angelika Kratzer. Semantics in Generative Grammar. Blackwell 1998.

Prerequisites

Graduate Standing and Consent of Graduate Advisor required.

Course Description

An introduction to cognitive science, the new discipline emerging from the interaction of psychology, artificial intelligence, linguistics, philosophy, neuroscience, and evolutionary biology. The course will range broadly, examining a variety of approaches to the study of how humans and other intelligent systems represent, reason, understand, perceive, use language, learn, and plan purposeful actions. The central assumption is that the human mind is fundamentally a computational organ and that cognitive processes can be explicitly modeled. The course will cover the basic issues and contributions in the field, with particular emphasis on current research at UT. There will be frequent lectures by faculty from the relevant disciplines who are engaged in such research. Major topics in the course will include: * Neuroscience: systems neuroscience, functional brain mapping, relating localized brain damage to spared and damaged abilities, evolutionary biology. * Reasoning, Concepts, and Conceptual Development: categorization, children's theories of mind, nonmonotonic reasoning, qualitative reasoning, problem solving, mental models, schemas. * Computational Approaches: modularity, connectionism, symbol manipulation, knowledge representation, machine learning. * Language: speech perception, sentence parsing, natural language understanding, discourse representation, language acquisition, syntax. * Vision: computational theory, psychology of visual perception, visual imagination, attention, spatial reasoning. * Other Topics: Memory, Philosophy of Mind, Robotics, Implicit Knowledge, Emotion, Learning. Class will meet once a week for three hours with a break. Often we will have guest lecturers from around the University who are interested in Cognitive Science. These researchers will present aspects of their own work and its relationship to Cognitive Science as a whole. In addition, we will have periodic classes devoted to discussions of foundational issues in Cognitive Science. Class participation is important to this class, as it is to most seminars. Students are expected to do the readings each week and to come prepared to talk about issues related to those readings. While there will be guest speakers each week, it will always be appropriate to ask questions.

Grading Policy Grades will be assigned based on these factors: * 50%: Class attendance and participation, questions inspired by readings, and commentaries. Over the course of the semester, each student may miss 1.5 classes without penalty. Not participating in the class discussion is only marginally better than not attending class. Each class you will bring in two questions related to the assigned readings along with a short paragraph discussing what motivates the questions. * 10%: Homework and quizzes * 40%: Final project - cogsci grant application Policy on incompletes. No incompletes will be given. Policy on independence of work and plagiarism: You are encouraged to discuss the material presented in class with other students. All written work turned in by a student must be the independent work of that student. In the case of the collaborative projects, of course, the work must be the work only of the members of the group. Obviously, you are not to include text that you have not written without clear quotations and attributions of the original source.

Texts None.  Additional Materials Every week there will be additional readings. These readings will be available online as pdf files.

We will consider how social traits are marked (or betrayed) by the language we use, and how corpus and computational methods can be employed to study such marking. Topics will include markers of a wide range of social and psychological factors, such as Politeness, Sentiment, Deception, Status, Gender, Depression, and Group Cohesion. As well as discussing and presenting theoretical literature on these topics, participants will be encouraged to engage in hands-on statistical and computational analysis of corpora or web sources.

Prerequisites

Graduate Standing and Consent of Graduate Advisor required.

Course Description

An introduction to cognitive science, the new discipline emerging from the interaction of psychology, artificial intelligence, linguistics, philosophy, neuroscience, and evolutionary biology. The course will range broadly, examining a variety of approaches to the study of how humans and other intelligent systems represent, reason, understand, perceive, use language, learn, and plan purposeful actions. The central assumption is that the human mind is fundamentally a computational organ and that cognitive processes can be explicitly modeled. The course will cover the basic issues and contributions in the field, with particular emphasis on current research at UT. There will be frequent lectures by faculty from the relevant disciplines who are engaged in such research. Major topics in the course will include: * Neuroscience: systems neuroscience, functional brain mapping, relating localized brain damage to spared and damaged abilities, evolutionary biology. * Reasoning, Concepts, and Conceptual Development: categorization, children's theories of mind, nonmonotonic reasoning, qualitative reasoning, problem solving, mental models, schemas. * Computational Approaches: modularity, connectionism, symbol manipulation, knowledge representation, machine learning. * Language: speech perception, sentence parsing, natural language understanding, discourse representation, language acquisition, syntax. * Vision: computational theory, psychology of visual perception, visual imagination, attention, spatial reasoning. * Other Topics: Memory, Philosophy of Mind, Robotics, Implicit Knowledge, Emotion, Learning.

Class will meet once a week for three hours with a break. Often we will have guest lecturers from around the University who are interested in Cognitive Science. These researchers will present aspects of their own work and its relationship to Cognitive Science as a whole. In addition, we will have periodic classes devoted to discussions of foundational issues in Cognitive Science. Class participation is important to this class, as it is to most seminars. Students are expected to do the readings each week and to come prepared to talk about issues related to those readings. While there will be guest speakers each week, it will always be appropriate to ask questions.

Grading Policy
Grades will be assigned based on these factors: * 50%: Class attendance and participation, questions inspired by readings, and commentaries. Over the course of the semester, each student may miss 1.5 classes without penalty. Not participating in the class discussion is only marginally better than not attending class. Each class you will bring in two questions related to the assigned readings along with a short paragraph discussing what motivates the questions. * 10%: Homework and quizzes * 40%: Final project - cogsci grant application Policy on incompletes. No incompletes will be given. Policy on independence of work and plagiarism: You are encouraged to discuss the material presented in class with other students. All written work turned in by a student must be the independent work of that student. In the case of the collaborative projects, of course, the work must be the work only of the members of the group. Obviously, you are not to include text that you have not written without clear quotations and attributions of the original source.

Texts
None.  Additional Materials Every week there will be additional readings. These readings will be available online as pdf files.

This is a graduate introduction to Semantics and Pragmatics, introducing students to basic logic, compositional interpretation, and the strategic reasoning involved in deciding what people mean by what they say. By the end, you should be able to follow a substantial portion of current work in the area. Topics covered include different notions of inference and entailment, presupposition, implicature, ambiguity, set theory, propositional logic, first order logic, lambda calculus for compositional interpretation, extraction and binding, quantification and generalized quantifiers , pronouns and ellipsis, basic dynamic semantics, basic intensionality and modality, event semantics, and tense and aspect.
Grading Policy

There will be assignments each week (40%), two reviews of recent journal papers (20%), and a take-home final (30%), plus a class participation component (10%).
Texts

Irene Helm and Angelika Kratzer. Semantics in Generative Grammar. Blackwell 1998.

Prerequisites

Graduate Standing and Consent of Graduate Advisor required.

Course Description

An introduction to cognitive science, the new discipline emerging from the interaction of psychology, artificial intelligence, linguistics, philosophy, neuroscience, and evolutionary biology. The course will range broadly, examining a variety of approaches to the study of how humans and other intelligent systems represent, reason, understand, perceive, use language, learn, and plan purposeful actions. The central assumption is that the human mind is fundamentally a computational organ and that cognitive processes can be explicitly modeled. The course will cover the basic issues and contributions in the field, with particular emphasis on current research at UT. There will be frequent lectures by faculty from the relevant disciplines who are engaged in such research. Major topics in the course will include: * Neuroscience: systems neuroscience, functional brain mapping, relating localized brain damage to spared and damaged abilities, evolutionary biology. * Reasoning, Concepts, and Conceptual Development: categorization, children's theories of mind, nonmonotonic reasoning, qualitative reasoning, problem solving, mental models, schemas. * Computational Approaches: modularity, connectionism, symbol manipulation, knowledge representation, machine learning. * Language: speech perception, sentence parsing, natural language understanding, discourse representation, language acquisition, syntax. * Vision: computational theory, psychology of visual perception, visual imagination, attention, spatial reasoning. * Other Topics: Memory, Philosophy of Mind, Robotics, Implicit Knowledge, Emotion, Learning.

Class will meet once a week for three hours with a break. Often we will have guest lecturers from around the University who are interested in Cognitive Science. These researchers will present aspects of their own work and its relationship to Cognitive Science as a whole. In addition, we will have periodic classes devoted to discussions of foundational issues in Cognitive Science. Class participation is important to this class, as it is to most seminars. Students are expected to do the readings each week and to come prepared to talk about issues related to those readings. While there will be guest speakers each week, it will always be appropriate to ask questions.

Grading Policy
Grades will be assigned based on these factors: * 50%: Class attendance and participation, questions inspired by readings, and commentaries. Over the course of the semester, each student may miss 1.5 classes without penalty. Not participating in the class discussion is only marginally better than not attending class. Each class you will bring in two questions related to the assigned readings along with a short paragraph discussing what motivates the questions. * 10%: Homework and quizzes * 40%: Final project - cogsci grant application Policy on incompletes. No incompletes will be given. Policy on independence of work and plagiarism: You are encouraged to discuss the material presented in class with other students. All written work turned in by a student must be the independent work of that student. In the case of the collaborative projects, of course, the work must be the work only of the members of the group. Obviously, you are not to include text that you have not written without clear quotations and attributions of the original source.

Texts
None.  Additional Materials Every week there will be additional readings. These readings will be available online as pdf files.

For detailed Course Schedule, download attachment.

For detailed Course Schedule, download attachment.

Topics of contemporary interest that may vary from semester to semester. Three lecture hours a week for one semester. May be repeated for credit when the topics vary. Prerequisite: For psychology majors, upper-division standing and Psychology 301 and 418 with a grade of at least C in each; for nonmajors, upper-division standing, Psychology 301 with a grade of at least C, and one of the following with a grade of at least C: Biology 318M, Civil Engineering 311S, Economics 329, Educational Psychology 371, Government 350K, Mathematics 316, Psychology 317, Sociology 317L, Social Work 318, Statistics 309.

Topics of contemporary interest that may vary from semester to semester. Three lecture hours a week for one semester. May be repeated for credit when the topics vary. Prerequisite: For psychology majors, upper-division standing and Psychology 301 and 418 with a grade of at least C in each; for nonmajors, upper-division standing, Psychology 301 with a grade of at least C, and one of the following with a grade of at least C: Biology 318M, Civil Engineering 311S, Economics 329, Educational Psychology 371, Government 350K, Mathematics 316, Psychology 317, Sociology 317L, Social Work 318, Statistics 309.