Graduate Courses
Term Schedule
Fall 2019
| Number | Title | Instructor | Time |
|---|
|
BCS 510 (PSY 504)
ZUCKERMAN M
TR 9:00AM - 10:55AM
|
|
No description BUILDING: MEL | ROOM: 474 |
|
BCS 511
JAEGER F
–
|
|
This course will cover a variety of behavioral techniques and analyses, with the goal of developing technical and analytical skills in thinking about experimental psychology. After several classes to introduce behavioral research and experimentation, we will focus on three prior experiments in detail: time series data from language comprehension, psychophysics, and animal behavior. Tools: Work will use a variety of free/open/replicable analysis tools in R and RStudio, including: Version control, backup, and data sharing: github and RStudio integration Data wrangling: tidyverse, magrittr, dplyr, broom, purrr Data visualization: ggplot2, plotly Data and code documentation: R markdown (good coding: styler, lintr, assertthat, here) Setting up code for reuse and sharing (devtools, roxygen2) Data analysis: lme4, lmerTest, gamm4 Data and model tables: stargazer, sjPlot Optionally Bayesian data analysis: brms (requires rstan, stan, and c-compiler to be installed) BUILDING: | ROOM: |
|
BCS 511
–
–
|
|
This course reviews the leading methods used to investigate cognitive skills and/or their neural substrate in humans. The course is divided into several sections: accuracy and psychophysics; RT and processing states; interference, neighborhood effects and system dynamics; investigations of natural data; brain imaging methods as applied to the cognitive sciences; and issues when studying special populations such as infants, patients, animals or any non-compliant subject. Technical articles on each technique are discussed in combination with specific illustrations of how each has been used to investigate research questions. BUILDING: | ROOM: |
|
BCS 513
RAIZADA R
–
|
|
The core focus of the course will be on how fMRI can be used to ask questions about neural representations and cognitive and perceptual information processing. Some of the questions that the course will address include: 1) The basic fMRI signal just shows activation in different parts of the brain. How can we get from that to addressing questions about neural representations and neural information processing? 2) Ways of relating neural activation to behavioural performance. Can fMRI provide information over and above what can be obtained from behaviour alone? 3) Standard fMRI analysis using the General Linear Model, including preprocessing steps. 4) Multivariate fMRI analysis using machine learning approaches. There will also be a component, about 20% of the class, on the big-picture aspects of MRI physics and physiology which make fMRI possible. BUILDING: | ROOM: PREREQUISITES: Prior programming experience (esp. Matlab) recommended. |
|
BCS 528 (BCS 528)
TADIN D
–
|
|
Advanced graduate seminar on a chose problem in vision sciences. In previous years, topics have included motion perception, stereopsis, color vision and visuo-motor control. Readings for the course are drawn from the scientific literature in the topic being covered. Students are typically required to lead discussions on papers. BUILDING: | ROOM: |
|
BCS 530 (DSC 530)
HOWARD T
MW 10:25AM - 11:40AM
|
|
This course provides a hand-on introduction to experimental and analytical methods in cognitive science and artificial intelligence. Each year, it offers three modules from a rotating list, including topics such as brain imaging, computational linguistics, and computer vision. The course is open to graduate students in any discipline. The course is recommended for who intend to pursue research in the the intersection of cognitive science and computer science, but prior experience in those fields is not required. It is required for students supported by the BCS/CS NRT graduate training grant. The modules are on Bayesian neuroscience, computational models in cognitive science, and natural language dialog systems. BUILDING: MEL | ROOM: 269 PREREQUISITES: none |
|
BCS 542 (BCS 242)
MARTINEZ A
TR 3:25PM - 4:40PM
|
|
Examines clinical neuropsychology, which bridges neurology, neuroscience, and clinical psychology. Covers history of clinical neuropsychology, principles of neuropsychological assessment, and the interpretation of cognition and behavior as they relate to brain dysfunction. Considers specific neurological syndromes including neurodegenerative, cerebrovascular, toxic, and memory disorders; epilepsy; head trauma; infectious processes; pediatric neuropsychology; psychiatric syndromes; and forensic neuropsychology. Patient presentations (videotape and in-person interviews) supplement lectures. BUILDING: DEWEY | ROOM: 1101 PREREQUISITES: BCS 110 or BCS 240 (NSC 201) or permission of instructor |
|
BCS 543 (NSC 243)
MILLER R
MWF 10:25AM - 11:15AM
|
|
Introduces the field of neurochemistry with an emphasis on cellular and molecular neurochemistry. Topics range from study of neurochemical mechanisms that underlie normal neural function to discussion of behavioral disturbances that result from neurochemical abnormalities. Considers neurochemical mechanisms of adaptive behavior, learning and memory, behavioral disorders, gender differences, and drug seeking behavior. BUILDING: LCHAS | ROOM: 141 PREREQUISITES: BCS 240 (NSC 201); BIO 250 recommended |
|
BCS 591
–
–
|
|
No description BUILDING: | ROOM: |
|
BCS 595
–
–
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|
No description BUILDING: | ROOM: |
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BCS 595A
–
–
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No description BUILDING: | ROOM: |
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BCS 598
–
–
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No description BUILDING: | ROOM: |
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BCS 895
–
–
|
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No description BUILDING: | ROOM: |
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BCS 985
–
–
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No description BUILDING: | ROOM: |
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BCS 986V
–
–
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No description BUILDING: | ROOM: |
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BCS 995
–
–
|
|
No description BUILDING: | ROOM: |
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BCS 997
–
–
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No description BUILDING: | ROOM: |
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BCS 997A
–
–
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No description BUILDING: | ROOM: |
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BCS 999
–
–
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No description BUILDING: | ROOM: |
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BCS 999A
–
–
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No description BUILDING: | ROOM: |
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BCS 999B
–
–
|
|
No description BUILDING: | ROOM: |
Fall 2019
| Number | Title | Instructor | Time |
|---|---|
| Monday and Wednesday | |
|
BCS 530 (DSC 530)
HOWARD T
MW 10:25AM - 11:40AM
|
|
|
This course provides a hand-on introduction to experimental and analytical methods in cognitive science and artificial intelligence. Each year, it offers three modules from a rotating list, including topics such as brain imaging, computational linguistics, and computer vision. The course is open to graduate students in any discipline. The course is recommended for who intend to pursue research in the the intersection of cognitive science and computer science, but prior experience in those fields is not required. It is required for students supported by the BCS/CS NRT graduate training grant. The modules are on Bayesian neuroscience, computational models in cognitive science, and natural language dialog systems. BUILDING: MEL | ROOM: 269 PREREQUISITES: none |
|
| Monday, Wednesday, and Friday | |
|
BCS 543 (NSC 243)
MILLER R
MWF 10:25AM - 11:15AM
|
|
|
Introduces the field of neurochemistry with an emphasis on cellular and molecular neurochemistry. Topics range from study of neurochemical mechanisms that underlie normal neural function to discussion of behavioral disturbances that result from neurochemical abnormalities. Considers neurochemical mechanisms of adaptive behavior, learning and memory, behavioral disorders, gender differences, and drug seeking behavior. BUILDING: LCHAS | ROOM: 141 PREREQUISITES: BCS 240 (NSC 201); BIO 250 recommended |
|
| Tuesday and Thursday | |
|
BCS 510 (PSY 504)
ZUCKERMAN M
TR 9:00AM - 10:55AM
|
|
|
No description BUILDING: MEL | ROOM: 474 |
|
|
BCS 542 (BCS 242)
MARTINEZ A
TR 3:25PM - 4:40PM
|
|
|
Examines clinical neuropsychology, which bridges neurology, neuroscience, and clinical psychology. Covers history of clinical neuropsychology, principles of neuropsychological assessment, and the interpretation of cognition and behavior as they relate to brain dysfunction. Considers specific neurological syndromes including neurodegenerative, cerebrovascular, toxic, and memory disorders; epilepsy; head trauma; infectious processes; pediatric neuropsychology; psychiatric syndromes; and forensic neuropsychology. Patient presentations (videotape and in-person interviews) supplement lectures. BUILDING: DEWEY | ROOM: 1101 PREREQUISITES: BCS 110 or BCS 240 (NSC 201) or permission of instructor |
|
| TBA | |
|
BCS 511
JAEGER F
–
|
|
|
This course will cover a variety of behavioral techniques and analyses, with the goal of developing technical and analytical skills in thinking about experimental psychology. After several classes to introduce behavioral research and experimentation, we will focus on three prior experiments in detail: time series data from language comprehension, psychophysics, and animal behavior. Tools: Work will use a variety of free/open/replicable analysis tools in R and RStudio, including: Version control, backup, and data sharing: github and RStudio integration Data wrangling: tidyverse, magrittr, dplyr, broom, purrr Data visualization: ggplot2, plotly Data and code documentation: R markdown (good coding: styler, lintr, assertthat, here) Setting up code for reuse and sharing (devtools, roxygen2) Data analysis: lme4, lmerTest, gamm4 Data and model tables: stargazer, sjPlot Optionally Bayesian data analysis: brms (requires rstan, stan, and c-compiler to be installed) BUILDING: | ROOM: |
|
|
BCS 511
–
–
|
|
|
This course reviews the leading methods used to investigate cognitive skills and/or their neural substrate in humans. The course is divided into several sections: accuracy and psychophysics; RT and processing states; interference, neighborhood effects and system dynamics; investigations of natural data; brain imaging methods as applied to the cognitive sciences; and issues when studying special populations such as infants, patients, animals or any non-compliant subject. Technical articles on each technique are discussed in combination with specific illustrations of how each has been used to investigate research questions. BUILDING: | ROOM: |
|
|
BCS 513
RAIZADA R
–
|
|
|
The core focus of the course will be on how fMRI can be used to ask questions about neural representations and cognitive and perceptual information processing. Some of the questions that the course will address include: 1) The basic fMRI signal just shows activation in different parts of the brain. How can we get from that to addressing questions about neural representations and neural information processing? 2) Ways of relating neural activation to behavioural performance. Can fMRI provide information over and above what can be obtained from behaviour alone? 3) Standard fMRI analysis using the General Linear Model, including preprocessing steps. 4) Multivariate fMRI analysis using machine learning approaches. There will also be a component, about 20% of the class, on the big-picture aspects of MRI physics and physiology which make fMRI possible. BUILDING: | ROOM: PREREQUISITES: Prior programming experience (esp. Matlab) recommended. |
|
|
BCS 528 (BCS 528)
TADIN D
–
|
|
|
Advanced graduate seminar on a chose problem in vision sciences. In previous years, topics have included motion perception, stereopsis, color vision and visuo-motor control. Readings for the course are drawn from the scientific literature in the topic being covered. Students are typically required to lead discussions on papers. BUILDING: | ROOM: |
|
|
BCS 591
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 595
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 595A
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 598
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 895
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 985
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 986V
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 995
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 997
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 997A
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 999
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 999A
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 999B
–
–
|
|
|
No description BUILDING: | ROOM: |
|