To see a complete list of courses offered and their descriptions, visit the online course catalog.
The courses listed below are provided by Student Information Services (SIS). This listing provides a snapshot of immediately available courses within this department and may not be complete. Course registration information can be found on the SIS website.
Column one has the course number and section. Other columns show the course title, days offered, instructor's name, room number, if the course is cross-referenced with another program, and a option to view additional course information in a pop-up window.
Course # (Section)
Title
Day/Times
Instructor
Room
PosTag(s)
Info
AS.050.212 (01)
Introduction to Computational Cognitive Science Lab
F 2:15PM - 3:30PM
Kim, Najoung
Krieger 111
Introduction to Computational Cognitive Science Lab AS.050.212 (01)
This course is a hands-on lab supplement for Introduction to Computational Cognitive Science. While this lab is optional, it is highly recommended to students with less extensive computational and mathematical experience.
Credits: 0.50
Level: Lower Level Undergraduate
Days/Times: F 2:15PM - 3:30PM
Instructor: Kim, Najoung
Room: Krieger 111
Status: Open
Seats Available: 23/50
PosTag(s): n/a
AS.050.346 (02)
Decoding the Brain: Multivariate Analysis in Cognitive Neuroscience
Decoding the Brain: Multivariate Analysis in Cognitive Neuroscience AS.050.346 (02)
Neural decoding through Machine Learning has become an ever-important tool for neuroscientists to understand how the brain processes information. This course introduces students to this exciting field with seminar-style lectures and hands-on practice sessions. The course will be organized around a number of corner-stone applications of neural decoding in Cognitive Neuroscience, topics include face recognition, concept knowledge representation, and bridging language model and the brain. In the practice sessions, students will learn to analyze actual neuroimaging data and replicate the published findings with off-the-shelf software. By the end of the course, students will be familiar with the basic methods of neural decoding, and acquire hands-on experience of data analysis. Prior programming knowledge is not required and programming skill per se is not part of the evaluation, yet students are expected to familiarize themselves with the scripting interface and understand the basics through the practice sessions. If an interested student has taken a statistics course comparable to one of the listed prerequisite courses, contact the instructor and include the course number and description.
Introduction to Computational Cognitive Science AS.050.202 (01)
How does the mind work? Cognitive science addresses this question from a multidiscliplinary perspective, drawing upon methods and ideas from psychology, neurophysiology, neuroscience, philosophy, linguistics, and computer science. Within this framework, computational cognitive science has two related goals. The first is to create computational models of human cognition, computer programs that simulate certain aspects of the mind. The second is to understand how to produce intelligent behavior in machines, taking cues from humans. The computational frameworks we will discuss include symbolic structured representations, probabilistic inference and artificial neural networks, as applied to concept learning, language and vision. While this class does not have formal prerequisites, some programming experience (e.g., AS 250.205 Introduction to Computing or equivalent) and mathematical preparation (e.g., AS.110.107 Calculus II or equivalent) are essential.
An optional, hands-on lab (AS.050.212) is offered to supplement this course. It is highly recommended that students with less extensive computational and mathematical experience register for this lab.
Credits: 3.00
Level: Lower Level Undergraduate
Days/Times: TTh 10:30AM - 11:45AM
Instructor: Linzen, Tal
Room: Krieger 111
Status: Open
Seats Available: 12/50
PosTag(s): COGS-COMPCG
AS.050.201 (01)
Language and Mind Honors Section
F 12:00PM - 12:50PM
Davis, Elizabeth Emory
Krieger 134A
Language and Mind Honors Section AS.050.201 (01)
This honors section, open to selected students concurrently enrolled in AS.050.102 Language and Mind, will introduce more advanced material in theoretical linguistics through instruction and guided problem solving. Content areas will include sound patterns, word formation, sentence structure, meaning representation, as well as processing and acquisition evidence bearing on the mental nature of language. Prior linguistics or cognitive science coursework is not required; weekly attendance and assignments will be mandatory.
Credits: 1.00
Level: Lower Level Undergraduate
Days/Times: F 12:00PM - 12:50PM
Instructor: Davis, Elizabeth Emory
Room: Krieger 134A
Status: Closed
Seats Available: 14/19
PosTag(s): n/a
AS.050.206 (01)
Bilingualism
TTh 3:00PM - 4:15PM
Yarmolinskaya, Julia S
Krieger 111
COGS-COGPSY, COGS-LING
Bilingualism AS.050.206 (01)
Do children get confused when they grow up exposed to more than one language? Is it possible to forget one’s native language? Are the first and second language processed in different areas of the brain? How does brain damage impact the different languages of a polyglot? Does knowing a second language affect non-linguistic cognitive processing? This course will address questions such as these through an exploration of mental and neural processes underlying bilingual and multilingual language processing.
Credits: 3.00
Level: Lower Level Undergraduate
Days/Times: TTh 3:00PM - 4:15PM
Instructor: Yarmolinskaya, Julia S
Room: Krieger 111
Status: Open
Seats Available: 4/29
PosTag(s): COGS-COGPSY, COGS-LING
AS.050.105 (01)
Introduction to Cognitive Neuropsychology
TTh 12:00PM - 1:15PM
McCloskey, Michael E
Remsen Hall 101
COGS-COGPSY, COGS-NEURO
Introduction to Cognitive Neuropsychology AS.050.105 (01)
When the brain is damaged or fails to develop normally, even the most basic cognitive abilities (such as the ability to understand words, or perceive objects) may be disrupted, often in remarkable ways. This course explores a wide range of cognitive deficits, focusing on what these deficits can tell us about how the normal brain works. Topics include brain anatomy and causes of brain damage, reading and spelling deficits, unilateral spatial neglect, hemispheric disconnection, cortical plasticity, and visual perception of location and orientation. Students read primary sources: journal articles that report deficits and discuss their implications.
Credits: 3.00
Level: Lower Level Undergraduate
Days/Times: TTh 12:00PM - 1:15PM
Instructor: McCloskey, Michael E
Room: Remsen Hall 101
Status: Open
Seats Available: 2/125
PosTag(s): COGS-COGPSY, COGS-NEURO
AS.050.318 (01)
Practicum in Language Disorders- Community Based Learning
Rapp, Brenda C
CSC-CE
Practicum in Language Disorders- Community Based Learning AS.050.318 (01)
This course provides the opportunity to learn about adult aphasias, language disorders which are one of the most common consequences of stroke. You will receive training in supportive communication techniques and work as a communication partner with an individual with aphasia for two hours per week. Three class meetings for orientation and reading assignments will be held on campus; training and practicum will be conducted at a local aphasia support center. Transportation required. Colisted with Neuroscience (AS.080.400). Additional information can be found on http://krieger.jhu.edu/neuroscience/academics/practicums/practicum-in-language-disorders, the Department of Neuroscience's Website. Find out more on the practicum location at
http://www.scalebaltimore.org, SCALE Baltimore.
Credits: 2.00
Level: Upper Level Undergraduate
Days/Times:
Instructor: Rapp, Brenda C
Room:
Status: Closed
Seats Available: 1/3
PosTag(s): CSC-CE
AS.050.102 (01)
Language and Mind
MW 12:00PM - 1:15PM
Wilson, Colin
Gilman 50
COGS-LING, COGS-COGPSY
Language and Mind AS.050.102 (01)
Introductory course dealing with theory, methods, and current research topics in the study of language as a component of the mind. What it is to "know" a language: components of linguistic knowledge (phonetics, phonology, morphology, syntax, semantics) and the course of language acquisition. How linguistic knowledge is put to use: language and the brain and linguistic processing in various domains.
In-depth examination of the current literature on cognitive development in the context of developmental cognitive neuroscience. Please see course prerequisites. Meets with AS.050.632.
Decoding the Brain: Multivariate Analysis in Cognitive Neuroscience AS.050.346 (01)
Neural decoding through Machine Learning has become an ever-important tool for neuroscientists to understand how the brain processes information. This course introduces students to this exciting field with seminar-style lectures and hands-on practice sessions. The course will be organized around a number of corner-stone applications of neural decoding in Cognitive Neuroscience, topics include face recognition, concept knowledge representation, and bridging language model and the brain. In the practice sessions, students will learn to analyze actual neuroimaging data and replicate the published findings with off-the-shelf software. By the end of the course, students will be familiar with the basic methods of neural decoding, and acquire hands-on experience of data analysis. Prior programming knowledge is not required and programming skill per se is not part of the evaluation, yet students are expected to familiarize themselves with the scripting interface and understand the basics through the practice sessions. If an interested student has taken a statistics course comparable to one of the listed prerequisite courses, contact the instructor and include the course number and description.
This course provides an introduction to the fields of first and second language acquisition by looking at questions such as the following: Can the grammar of a native language be learned solely on the basis of noticing statistical correlations among words? How does native language acquisition explain — or is explained by — the universal properties, shared by all languages, of words and grammars? How does being exposed to multiple languages from birth affect language acquisition and what happens when a child is not exposed to any language early in life? Does the same cognitive mechanism guide language learning in children and adults? What factors account for individual differences in ease and ultimate attainment when a second language is learned later in life? Is it possible to become indistinguishable from a native speaker in a foreign language? What changes take place in the brain when a new language is learned? Also offered as AS.050.648.
Credits: 3.00
Level: Upper Level Undergraduate
Days/Times: TTh 1:30PM - 2:45PM
Instructor: Yarmolinskaya, Julia S
Room: Krieger 111
Status: Waitlist Only
Seats Available: 0/19
PosTag(s): COGS-LING, COGS-COGPSY
AS.376.371 (01)
Introduction to Music Cognition
T 9:00AM - 11:30AM
Lopez-Gonzalez, Monica
Mattin Center 101
COGS-COGPSY
Introduction to Music Cognition AS.376.371 (01)
What underlies our aesthetic response to music? How and why are we able to identify certain sounds as music? To what extent are music and natural language similar? What is it about music that evokes such powerful emotions such as happiness and sadness? What is unique to musical creativity? Examining such questions from cognitive science, neuroscience, psychology, and philosophical perspectives, this course explores relevant research and theory in the emerging domain of music perception and cognition. Students will complete a final research paper on the topic of their choice that integrates the course material.
Credits: 3.00
Level: Upper Level Undergraduate
Days/Times: T 9:00AM - 11:30AM
Instructor: Lopez-Gonzalez, Monica
Room: Mattin Center 101
Status: Waitlist Only
Seats Available: 0/15
PosTag(s): COGS-COGPSY
AS.050.360 (01)
Computational Psycholinguistics
TTh 1:30PM - 2:45PM
Linzen, Tal
Krieger 134A
COGS-COGPSY, COGS-LING, COGS-COMPCG, NEUR-CP
Computational Psycholinguistics AS.050.360 (01)
How do we understand and produce sentences in a language we speak? How do we acquire the knowledge that underlies this ability? Computational psycholinguistics seeks to address these questions using a combination of two approaches: computational models, which aim to replicate the processes that take place in the human mind; and human experiments, which are designed to test those models. The perspective we will take in this class is that the models and experimental paradigms do not only advance our understanding of the cognitive science, but can also help us advance artificial intelligence and language technologies. While computational psycholinguistics spans all levels of linguistic structure, from speech to discourse, our focus in this class will be at the level of the sentence (syntax and semantics). The course will assume familiarity with programming and computational modeling frameworks in cognitive science, as covered by Introduction to Computational Cognitive Science or equivalent. Also offered as AS.050.660.
An optional, hands-on lab (AS.050.361) is offered to supplement this course. It is highly recommended that students with less extensive computational and mathematical experience register for this lab.
Probabilistic Models of the Visual Cortex AS.050.375 (01)
The course gives an introduction to computational models of the mammalian visual cortex. It covers topics in low-, mid-, and high-level vision. It briefly discusses the relevant evidence from anatomy, electrophysiology, imaging (e.g., fMRI), and psychophysics. It concentrates on mathematical modeling of these phenomena taking into account recent progress in probabilistic models of computer vision and developments in machine learning, such as deep networks.
This course is an optional hands-on lab supplement for Computational Psycholinguistics. While this lab is optional, it is highly recommended to students with less extensive computational and mathematical experience.
