Cognitive Science - undergraduate program

Postgraduate

In San Diego (USA)

higher than £ 9000

Description

  • Type

    Postgraduate

  • Location

    San diego (USA)

A major may elect to receive a BS in cognitive science with an area of specialization. The areas of specialization are intended to provide majors with guidance in choosing elective courses and to make the specific interests and training of a major clear to prospective employers and graduate schools. Specifying an area of specialization is optional; however, students should take into consideration when planning for their specialization that approved courses are not necessarily offered every year.

Facilities

Location

Start date

San Diego (USA)
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Start date

On request

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Subjects

  • Neuroscience
  • Cognitive Science
  • Music
  • Programming
  • Team Training
  • Technology
  • Systems
  • Planning
  • Project
  • Web
  • Design
  • Statistics
  • Computing
  • Credit
  • Psychology

Course programme

Cognitive Science

[ undergraduate program | graduate program | faculty ]

All courses, faculty listings, and curricular and degree requirements described herein are subject to change or deletion without notice.

Courses

For course descriptions not found in the UC San Diego General Catalog 2019–20, please contact the department for more information.

Lower Division

COGS 1. Introduction to Cognitive Science (4)

A team-taught course highlighting development of the field and the broad range of topics covered in the major. Example topics include addiction, analogy, animal cognition, human-computer interaction, language, neuroimaging, neural networks, reasoning, robots, and real-world applications.

COGS 2. Cognitive NeuroEconomics (4)

This course is an introduction to the neuroscience behind the principles of economic decision-making. The topics in this course are aimed at exploring the underlying cognitive and neural mechanisms that drive the decisions behind traditional economic models.

COGS 3. Introduction to Computing (4)

Covers the fundamental concepts that underlie all programming languages and provides an introduction to the essential information about algorithms and data structures. Students design and implement web applications using HTML5, CSS3, JavaScript, and Photoshop. No previous programming experience is required.

COGS 8. Hands-on Computing (4)

Introductory-level course that will give students insight into the fundamental concepts of algorithmic thinking and design. The course will provide the students with first-person, hands-on experience programming a web crawler and simple physical robots.

COGS 9. Introduction to Data Science (4)

Concepts of data and its role in science will be introduced, as well as the ideas behind data-mining, text-mining, machine learning, and graph theory, and how scientists and companies are leveraging those methods to uncover new insights into human cognition.

COGS 10. Cognitive Consequences of Technology (4)

This course examines the interrelationships of cognition and technology from the perspective of cognitive science. We address questions of importance for our increasingly technological society: How does technology shape our minds? How should what we know about our minds shape technology?

COGS 11. Minds and Brains (4)

How damaged and normal brains influence the way humans solve problems, remember or forget, pay attention to things; how they affect our emotions, and the way we use language in daily life.

COGS 12. Language, Culture, and Cognition (4)

Do people who speak different languages think differently? Does learning new languages change the way you think? Are some thoughts unthinkable without language? Course will bring together ideas and findings from psychology, linguistics, anthropology, neuroscience, and philosophy.

COGS 13. Field Methods: Studying Cognition in the Wild (4)

This course introduces students to multiple methods to investigate cognition and behavior in natural settings. Students will learn about ethnography, videography (video data collection, coding, and analysis), surveys design and conducting interviews, and how to move from observations to modeling.

COGS 14A. Introduction to Research Methods (4)

Introduction to the scientific method. Methods of knowledge acquisition, research questions, hypotheses, operational definitions, variables, control. Observation, levels of measurement, reliability, validity. Experimentation and design: between-groups, within-subjects, quasi-experimental, factorial, single-subject. Correlational and observational studies. Ethics in research.

COGS 14B. Introduction to Statistical Analysis (4)

Introduction to descriptive and inferential statistics. Tables, graphs, measures of central tendency and variability. Distributions, Z-scores, correlation, regression. Probability, sampling, logic of inferential statistics, hypothesis testing, decision theory. T-test, one and two-way Anova, nonparametric tests (Chi-square). Prerequisites: COGS 14A.

COGS 15. What the *#!?: An Uncensored Introduction to Language (4)

This course uses the study of swearing to introduce topics in language: how children learn it, why it changes over time, and how people pronounce and understand it. Students who believe they could be offended by the study of swearing and other taboo language might not find this course appropriate for them.

COGS 17. Neurobiology of Cognition (4)

Introduction to the organization and functions of the nervous system. Topics include molecular, cellular, developmental, systems, and behavioral neurobiology. Specifically, structure and function of neurons, peripheral and central nervous systems, sensory, motor, and control systems, learning and memory mechanisms. (Students may not receive credit for both BILD12 and COGS 17. This course fulfills general-education requirements for Marshall and Roosevelt Colleges as well as Warren by petition.)

COGS 18. Introduction to Python (4)

This class will teach fundamental Python programming skills and practices, including the “Zen of Python.” Students will focus on scientific computing and learn to write functions and tests, as well as how to debug code using the Jupyter Notebook programming environment. Students with limited computing experience may take COGS 3 for preparation.

COGS 20. Exploring the Musical Mind (4)

(Cross-listed with MUS 20.) How do we transform complex sounds into comprehensible and meaningful music? What physiological, neurological, cognitive, and cultural systems are involved? Why do we make music in such diverse ways around the globe? Does music have evolutionary or ecological significance? What is the relationship between music, motion, and emotions? This course explores contemporary understandings of how we hear and how we become musical and invites students to listen to new music in new ways. Students may not receive credit for both COGS 20 and MUS 20.

COGS 87. Freshman Seminar (1)

The Freshman Seminar Program is designed to provide new students with the opportunity to explore an intellectual topic with a faculty member in a small seminar setting. Freshman Seminars are offered in all campus departments and undergraduate colleges, and topics vary from quarter to quarter. Enrollment is limited to fifteen to twenty students, with preference given to entering freshmen.

COGS 90. Undergraduate Seminar (1)

Special topics in cognitive science are discussed. P/NP grades only. (May be repeated when topics vary.)

COGS 91. SCANS Presents (1)

The department faculty and the Students for Cognitive and Neurosciences (SCANS) offer this seminar exploring issues in cognitive science. It includes informal faculty research presentations, investigations of topics not covered in the curriculum, and discussions on graduate school and careers. (May be repeated when topics vary.)

COGS 92. Resiliency in the Face of Adversity (2)

Psychological resiliency will be addressed both scientifically and pragmatically. Students will explore the way cognitive and behavioral factors contribute to one’s ability to cope with the stresses of life and emerge from them stronger than before. P/NP only.

COGS 99. Independent Study (2 or 4)

Independent literature or laboratory research by arrangement with and under direction of a Department of Cognitive Science faculty member. Prerequisites: lower-division standing, completion of thirty units of UC San Diego undergraduate study, a minimum UC San Diego GPA of 3.0, and a completed and approved Special Studies form.

Upper Division

COGS 100. Cyborgs Now and in the Future (4)

Covers the theories of situated, distributed, enactive, and embodied cognition. Explains how cyborgs are a natural consequence of our current understanding of embodied minds embedded in culturally shaped niches; how mental systems can be distributed over other people and things. Prerequisites: COGS 1 or COGS 10.

COGS 101A. Sensation and Perception (4)

An introduction to the experimental study of cognition with a focus on sensation and perception. Prerequisites: COGS 1.

COGS 101B. Learning, Memory, and Attention (4)

A survey of the experimental study of learning, memory, and attention. Topics include conditioning, automaticity, divided attention, memory systems, and the nature of mental representation. Prerequisites: COGS 1. Recommended: COGS 101A.

COGS 101C. Language (4)

An introduction to structure of natural language, and to the cognitive processes that underline its acquisition, comprehension, and production. This course covers findings from linguistics, computer science, psychology, and cognitive neuroscience to provide an integrated perspective on human language abilities. Prerequisites: COGS 1 and 14A.

COGS 102A. Cognitive Perspectives (4)

Explores current theoretical frameworks of high-level human cognition that emphasize how we interact with the material, social, and cultural world. Themes include the philosophy and history of cognitive science, the role of artifacts, and how cognition extends beyond the individual. Prerequisites: COGS 1 and COGS 10.

COGS 102B. Cognitive Ethnography (4)

Examines memory, reasoning, language, culture, planning, and interaction directly in everyday, real-world settings. Focuses on ethnographic methods, their history, and their application. The course work includes projects in which students make observations of real-world activity and analyze their cognitive significance. Prerequisites: COGS 102A.

COGS 102C. Cognitive Design Studio (6)

This project-based course focuses on learning and applying the process of human-centered cognitive design. Students work in teams to design and evaluate a prototype application or redesign an existing system. Emphasizes contextual inquiry, user research, ideation, iterative design, and evaluation. Prerequisites: COGS 102B.

COGS 107A. Neuroanatomy and Physiology (4)

This first course in the sequence focuses on principles of brain organization, from neurons to circuits to functional networks. It explores developmental plasticity, neuronal connectivity, cellular communication, complex signaling, and how these various dimensions form functional brain systems. Prerequisites: COGS 1 or COGS 17.

COGS 107B. Systems Neuroscience (4)

This course focuses on the electrical dynamics of neurons and how their patterns relate to perception, thought, and action. Neural activity patterns underlying vision, touch, audition, proprioception, and head orientation are examined in detail. Also examined are motor control, sleep/wake state production, action planning, learning, memory, attention, spatial cognition and function of the cerebellum, basal ganglia, and hippocampus. Prerequisites: COGS 107A.

COGS 107C. Cognitive Neuroscience (4)

This course reviews research investigating the neural bases for human mental processes, including processing of affective, social, linguistic, and visuospatial information, as well as memory, attention, and executive functions. Also discussed are brain development and brain aging, and the nature of intelligence and creativity. Prerequisites: COGS 107B and its prerequisites.

COGS 108. Data Science in Practice (4)

Data science is multidisciplinary, covering computer science, statistics, cognitive science and psychology, data visualization, artificial intelligence and machine learning, among others. This course teaches critical skills needed to pursue a data science career using hands-on programming and experimental challenges. Prerequisites: CSE 11 or CSE 8A or CSE 7 or COGS 18 or DSC 10.

COGS 109. Modeling and Data Analysis (4)

Exposure to the basic computational methods useful throughout cognitive science. Computing basic statistics, modeling learning individuals, evolving populations, communicating agents, and corpus-based linguistics will be considered. Prerequisites: COGS 14B, MATH 18 or MATH 31AH, and COGS 18 or CSE 7 or CSE 8A or CSE 11.

COGS 110. The Developing Mind (4)

(Cross-listed with HDS 121.) This course examines changes in thinking and perceiving the physical and social world from birth through childhood. Evidence of significant changes in encoding information, forming mental representations, and solving problems is culled from psychological research, cross-cultural studies, and cognitive science. Cross-listed course. HDS 121 has been renumbered from HDP 121. Students may receive credit for one of the following: COGS 110, HDS 121, or HDP 121. Prerequisites: COGS 1 or HDP 1 or HDS 1.

COGS 115. Neurological Development and Cognitive Change (4)

This course provides an overview of neurological development and explores the relations between physiological change and the experience for the child from the prenatal period through adolescence. Prerequisites: BILD 10 or BILD 12 or COGS 107A or COGS 107B or COGS 17 or HDP 110.

COGS 118A. Introduction to Machine Learning I (4)

This course with COGS 118B forms a rigorous introduction to machine learning. COGS 118A-B may be taken in either order. Topics in 118A include: regression, nearest neighborhood, decision tree, support vector machine, and ensemble classifiers. Prerequisites: CSE 8B or CSE 11 and MATH 18 or MATH 31AH and MATH 20E and MATH 180A or consent of instructor.

COGS 118B. Introduction to Machine Learning II (4)

This course, with COGS 118A, forms a rigorous introduction to machine learning. COGS 118A-B may be taken in either order. Topics in 118B include: maximum likelihood estimation, Bayesian parameter estimation, clustering, principal component analysis, and some application areas. Prerequisites: CSE 8B or CSE 11 and MATH 18 or MATH 31AH and MATH 20E and MATH 180A or consent of instructor.

COGS 118C. Neural Signal Processing (4)

This course will cover theoretical foundations and practical applications of signal processing to neural data. Topics include EEG/field potential methods (filtering, Fourier (spectral) analysis, coherence) and spike train analysis (reverse correlation, spike sorting, multielectrode recordings). Some applications to neural imaging (optical microscopy, fMRI) data will also be discussed. Prerequisites: MATH 18 or MATH 31AH, COGS 14B or PSYC 60, and COGS 108 or COGS 109.

COGS 118D. Mathematical Statistics for Behavioral Data Analysis (4)

Statistical methods for analyzing behavioral data. A mathematically sophisticated course covering both classical and Bayesian statistical methods for estimation, hypothesis testing, regression, and model comparison. Emphasis on both mathematical understanding of statistical methods as well as common applications. Prerequisites: MATH 18 or MATH 31AH and MATH 180A or consent of instructor.

COGS 119. Programming for Experimental Research (4)

This course will help students in the behavioral sciences (cognitive science, psychology, linguistics, neuroscience, and related fields) learn how to program experiments and analyze and present data. Prerequisites: COGS 14B and MATH 18 or MATH 31AH and CSE 7.

COGS 120. Interaction Design (5)

(Cross-listed with CSE 170.) Introduces fundamental methods and principles for designing, implementing, and evaluating user interfaces. Topics: user-centered design, rapid prototyping, experimentation, direct manipulation, cognitive principles, visual design, social software, software tools. Learn by doing: work with a team on a quarter-long design project. Recommended preparation: basic familiarity with HTML. Students may not receive credit for both COGS 120 and CSE 170. Prerequisites: CSE 11 or CSE 8B and COGS 1 or COGS 187A or DSGN 1.

COGS 121. Human Computer Interaction Programming Studio (4)

This course covers fundamentals of user interface design and implementation of web-based systems. A major component is completion of a substantial programming project in which students work together in small teams. Prerequisites: COGS 120 and CSE 8B or CSE 11 or DSC 30.

COGS 122. Startup Studio (4)

Explores tools and processes for innovating novel business concepts to solve problems involving the interaction between humans and technology. Students will work with an interdisciplinary team to understand unmet user needs and to create a value proposition that balances technical feasibility, financial viability, and desirability. Prerequisites: DSGN 100 or COGS 187B or COGS 187A or COGS 120 or CSE 170.

COGS 123. Social Computing (4)

This course explores the intersection of social behavior and computational systems. Students will examine a range of organizational, technical, and business challenges related to social computing, and learn how to use tools to analyze, design, and build online communities. Prerequisites: COGS 102C or COGS 120 or COGS 187A or COGS 187B or DSGN 1.

COGS 124. HCI Technical Systems Research (4)

In this advanced project-based course, we study the state-of-the-art in research on technical systems for human-computer interaction (HCI). Students will deconstruct the systems described in top-tier HCI papers and work in teams to create novel technical systems of their own. Prerequisites: COGS 120 and COGS 121.

COGS 125. Advanced Interaction Design (4)

This is a studio class for students who are passionate about diving deep into interaction design and honing their design skills. Introduces social computing, input and interaction techniques, and information design. Students will regularly present work in a studio format. Prerequisites: CSE 11 or 8B and COGS 120 or CSE 170.

COGS 126. Human-Computer Interaction (4)

This course surveys the field of human-computer interaction and the ideas and technologies that have shaped its development. Prerequisites: COGS 120 or COGS 121 or CSE 170.

COGS 143. Animal Cognition (4)

lishable quality. Letter grade required.

COGS 211A-B-C. Research Methods in Cognitive Science (2-2-2)

Issues in design,...

Cognitive Science - undergraduate program

higher than £ 9000