Term Schedule
Fall 2023
Number | Title | Instructor | Time |
---|
BCSC 435-1
Hangfeng He
MW 4:50PM - 6:05PM
|
This course addresses issues of representing computing meaning from natural language, especially issues of understanding language in context using commonsense knowledge of the world. Topics will include a survey of English phrase structure and parsing, semantic representation (e.g., events, semantic roles, time, causality and speech acts), and theories and techniques for understanding language in context, including intention recognition, text understanding using knowledge of scripts and plans, and models of spoken dialogue systems (e.g., conversational agents such as Siri). CSC447, the graduate level version of the course, requires a substantial individual project. Prerequisite: CSC 242
|
BCSC 505-1
Gregory DeAngelis
R 1:00PM - 3:30PM
|
This team-taught course will provide an interdisciplinary introduction to sensory perception, interplay between action and perception, as well as their basic neural foundations. Topics to be covered include: fundamentals of perceptual detection and discrimination, eye movements, visual perception of form, motion, and depth, haptic perception, basics of neural coding, multisensory processing, and attention.
|
BCSC 528-1
Duje Tadin
7:00PM - 7:00PM
|
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.
|
BCSC 541-1
Farran Briggs
TR 9:40AM - 10:55AM
|
This course takes a bottom-up approach to understanding the neurons and circuits of the sensory systems in the mammalian brain. Thematic topics will include: structural and functional diversity among sensory neuronal populations, common themes across sensory systems such as parallel information processing, coordination among feedforward/feedback circuits, and neuronal plasticity during development of functional domains. The final course module will focus on exploring the neuronal mechanisms of attention, again from a neuron- and circuit-centric perspective. Visual, auditory, and somatosensory systems will be discussed with most emphasis on the visual system as a model for understanding structure/function relationships. The course will also introduce students to modern methodological approaches in systems neuroscience aimed at measuring and manipulating the activity of large populations of neurons while also incorporating information about individual neuronal identity, structure, and circuit connectivity. Prerequisite: BCSC 240/NSCI 201
|
BCSC 541-2
Farran Briggs
T 11:00AM - 12:00PM
|
This course takes a bottom-up approach to understanding the neurons and circuits of the sensory systems in the mammalian brain. Thematic topics will include: structural and functional diversity among sensory neuronal populations, common themes across sensory systems such as parallel information processing, coordination among feedforward/feedback circuits, and neuronal plasticity during development of functional domains. The final course module will focus on exploring the neuronal mechanisms of attention, again from a neuron- and circuit-centric perspective. Visual, auditory, and somatosensory systems will be discussed with most emphasis on the visual system as a model for understanding structure/function relationships. The course will also introduce students to modern methodological approaches in systems neuroscience aimed at measuring and manipulating the activity of large populations of neurons while also incorporating information about individual neuronal identity, structure, and circuit connectivity. Prerequisite: BCSC 240/NSCI 201
|
BCSC 541-3
Farran Briggs
T 3:00PM - 4:00PM
|
This course takes a bottom-up approach to understanding the neurons and circuits of the sensory systems in the mammalian brain. Thematic topics will include: structural and functional diversity among sensory neuronal populations, common themes across sensory systems such as parallel information processing, coordination among feedforward/feedback circuits, and neuronal plasticity during development of functional domains. The final course module will focus on exploring the neuronal mechanisms of attention, again from a neuron- and circuit-centric perspective. Visual, auditory, and somatosensory systems will be discussed with most emphasis on the visual system as a model for understanding structure/function relationships. The course will also introduce students to modern methodological approaches in systems neuroscience aimed at measuring and manipulating the activity of large populations of neurons while also incorporating information about individual neuronal identity, structure, and circuit connectivity. Prerequisite: BCSC 240/NSCI 201
|
BCSC 541-4
Farran Briggs
T 4:00PM - 5:00PM
|
This course takes a bottom-up approach to understanding the neurons and circuits of the sensory systems in the mammalian brain. Thematic topics will include: structural and functional diversity among sensory neuronal populations, common themes across sensory systems such as parallel information processing, coordination among feedforward/feedback circuits, and neuronal plasticity during development of functional domains. The final course module will focus on exploring the neuronal mechanisms of attention, again from a neuron- and circuit-centric perspective. Visual, auditory, and somatosensory systems will be discussed with most emphasis on the visual system as a model for understanding structure/function relationships. The course will also introduce students to modern methodological approaches in systems neuroscience aimed at measuring and manipulating the activity of large populations of neurons while also incorporating information about individual neuronal identity, structure, and circuit connectivity. Prerequisite: BCSC 240/NSCI 201
|
BCSC 541-5
Farran Briggs
T 5:00PM - 6:00PM
|
This course takes a bottom-up approach to understanding the neurons and circuits of the sensory systems in the mammalian brain. Thematic topics will include: structural and functional diversity among sensory neuronal populations, common themes across sensory systems such as parallel information processing, coordination among feedforward/feedback circuits, and neuronal plasticity during development of functional domains. The final course module will focus on exploring the neuronal mechanisms of attention, again from a neuron- and circuit-centric perspective. Visual, auditory, and somatosensory systems will be discussed with most emphasis on the visual system as a model for understanding structure/function relationships. The course will also introduce students to modern methodological approaches in systems neuroscience aimed at measuring and manipulating the activity of large populations of neurons while also incorporating information about individual neuronal identity, structure, and circuit connectivity. Prerequisite: BCSC 240/NSCI 201
|
BCSC 543-1
Renee Miller
MWF 10:25AM - 11:15AM
|
This class covers how the brain controls behavior, and what goes wrong in various diseases, from a neurochemistry perspective. We start by learning about the neurochemicals –neurotransmitters, peptides, growth factors, etc. and move on to their receptors and associated signaling pathways, including gene transcription and epigenetics. An emphasis is placed on primary research literature, experimentation/data analysis and application of knowledge to the interpretation of scientific data. Students will attend research seminars on campus or online and write brief summaries of their understanding. The course culminates in small group presentations about the neurochemistry of diseases of interest, and an individual research review paper on the same topic. Prerequisite: BCSC 240/NSCI 201. BIOL 250 is helpful but not required.
|
BCSC 570-1
Mujdat Cetin
MW 2:00PM - 3:15PM
|
This course provides a broad introduction to augmented and virtual reality (AR/VR) systems. The course involves lectures covering an overview of all aspects of the AR/VR domain, as well as individual work performed by each student aimed at providing more intensive training on various aspects of AR/VR. Topics covered in the lectures include history, conceptual origins, and design/evaluation principles of AR/VR technologies; overview of visual/auditory/haptic AR/VR interfaces and applications; visual perception; optics/platforms/sensors/displays; auditory perception and spatial audio; silicon hardware architecture and materials; graphics and computation; interfaces and user experience design; data processing and machine intelligence for AR/VR; introduction to AR/VR programming tools; societal implications and ethical aspects. At the end of the course, students will have gained familiarity with the techniques, languages, and cultures of fields integral to the convergent research theme of AR/VR. This course is co-instructed by Daniel Nikolov, Mujdat Cetin, Michele Rucci, Ross Maddox, Jannick Rolland, Yuhao Zhu, Andrew White, Chenliang Xu, Zhen Bai, and Zhiyao Duan.
|
BCSC 572-1
Mujdat Cetin
TR 9:40AM - 10:55AM
|
This is the third course offered as part of the PhD training program on augmented and virtual reality (AR/VR). The goal of the course is to provide interdisciplinary collaborative project experience in AR/VR. The course involves small teams of students from multiple departments working together on semester-long projects on AR/VR with the guidance of one or more faculty involved in the PhD training program. The expected end products of this Practicum course are tangible artifacts that represent what the students have learned, discovered, or invented. Types of artifacts include research papers; patent applications; open-source software; as well as online tutorials and videos for undergraduates, K-12 students, or the general public. Prerequisites: ECE 410-1 or OPT 410-1 or BME 410-1 or BCSC 570-1 or NSCI 415-1 or CSC 413-1 or CVSC 534-1 Instructors: Lead - Mujdat Cetin; Zhen Bai, Jannick Rolland, Michele Rucci
|
BCSC 580-1
Marius Iordan
TR 3:25PM - 4:40PM
|
An interdisciplinary tour of human cognition with a special focus on large-scale neural representations in the human brain. Topics will include categorization, semantics, attention, memory, language, and cognitive control, with an emphasis on cutting-edge research that lies at the intersection of neuroscience, psychology, and computer science. The course will provide introductions to several neuroimaging (e.g., fMRI, MEG, EEG) and neural manipulation methodologies (e.g., TMS, tDCS, neurofeedback) and will involve discussions of advanced machine learning analysis techniques (multivariate pattern recognition algorithms, deep neural networks, Hidden Markov Models). Format: lectures and student-led seminar discussions.
|
BCSC 595-01
Ralf Haefner
|
Blank Description |
BCSC 595-02
Manuel Gomez-Ramirez
|
Blank Description |
BCSC 595-03
Duje Tadin
|
Blank Description |
BCSC 595-04
Robert Jacobs
|
Blank Description |
BCSC 595-05
Michele Rucci
|
Blank Description |
BCSC 595-06
Adam Snyder
|
Blank Description |
BCSC 595-07
Martina Poletti
|
Blank Description |
BCSC 595-08
Gregory DeAngelis
|
Blank Description |
BCSC 595-11
Karl Rosengren
|
Blank Description |
BCSC 595-12
Elise Piazza
|
Blank Description |
BCSC 595-13
Dora Biro
|
Blank Description |
BCSC 595-14
Ian Fiebelkorn
|
Blank Description |
BCSC 595-15
Marius Iordan
|
Blank Description |
BCSC 598-07
Ralf Haefner
|
Blank Description |
BCSC 598-1
Melinda Patterson
|
Blank Description |
BCSC 598-14
Farran Briggs
|
Blank Description |
BCSC 598-15
Karl Rosengren
|
Blank Description |
BCSC 598-2
Duje Tadin
|
Blank Description |
BCSC 598-3
Chung-Lin Yang
|
Blank Description |
BCSC 598-4
Gregory DeAngelis
|
Blank Description |
BCSC 598-5
Dora Biro
|
Blank Description |
BCSC 598-6
Robert Jacobs
|
Blank Description |
BCSC 897-01
Manuel Gomez-Ramirez
|
No description |
BCSC 897-1
Ralf Haefner
|
No description |
BCSC 986V-01
Michele Rucci
|
Blank Description |
BCSC 995-1
Tim Jaeger
|
Blank Description |
BCSC 997-1
Michele Rucci
|
Blank Description |
BCSC 997-2
Duje Tadin
|
Blank Description |
BCSC 999-01
Ralf Haefner
|
Blank Description |
BCSC 999-02
Manuel Gomez-Ramirez
|
Blank Description |
BCSC 999-03
Duje Tadin
|
Blank Description |
BCSC 999-04
Robert Jacobs
|
Blank Description |
BCSC 999-05
Michele Rucci
|
Blank Description |
BCSC 999-06
Adam Snyder
|
Blank Description |
BCSC 999-07
Martina Poletti
|
Blank Description |
BCSC 999-08
Gregory DeAngelis
|
Blank Description |
BCSC 999-09
Rajeev Raizada
|
Blank Description |
BCSC 999-10
Tim Jaeger
|
Blank Description |
BCSC 999-11
Jude Mitchell
|
Blank Description |
Fall 2023
Number | Title | Instructor | Time |
---|---|
Monday | |
Monday and Wednesday | |
BCSC 570-1
Mujdat Cetin
|
|
This course provides a broad introduction to augmented and virtual reality (AR/VR) systems. The course involves lectures covering an overview of all aspects of the AR/VR domain, as well as individual work performed by each student aimed at providing more intensive training on various aspects of AR/VR. Topics covered in the lectures include history, conceptual origins, and design/evaluation principles of AR/VR technologies; overview of visual/auditory/haptic AR/VR interfaces and applications; visual perception; optics/platforms/sensors/displays; auditory perception and spatial audio; silicon hardware architecture and materials; graphics and computation; interfaces and user experience design; data processing and machine intelligence for AR/VR; introduction to AR/VR programming tools; societal implications and ethical aspects. At the end of the course, students will have gained familiarity with the techniques, languages, and cultures of fields integral to the convergent research theme of AR/VR. This course is co-instructed by Daniel Nikolov, Mujdat Cetin, Michele Rucci, Ross Maddox, Jannick Rolland, Yuhao Zhu, Andrew White, Chenliang Xu, Zhen Bai, and Zhiyao Duan. |
|
BCSC 435-1
Hangfeng He
|
|
This course addresses issues of representing computing meaning from natural language, especially issues of understanding language in context using commonsense knowledge of the world. Topics will include a survey of English phrase structure and parsing, semantic representation (e.g., events, semantic roles, time, causality and speech acts), and theories and techniques for understanding language in context, including intention recognition, text understanding using knowledge of scripts and plans, and models of spoken dialogue systems (e.g., conversational agents such as Siri). CSC447, the graduate level version of the course, requires a substantial individual project. Prerequisite: CSC 242 |
|
Monday, Wednesday, and Friday | |
BCSC 543-1
Renee Miller
|
|
This class covers how the brain controls behavior, and what goes wrong in various diseases, from a neurochemistry perspective. We start by learning about the neurochemicals –neurotransmitters, peptides, growth factors, etc. and move on to their receptors and associated signaling pathways, including gene transcription and epigenetics. An emphasis is placed on primary research literature, experimentation/data analysis and application of knowledge to the interpretation of scientific data. Students will attend research seminars on campus or online and write brief summaries of their understanding. The course culminates in small group presentations about the neurochemistry of diseases of interest, and an individual research review paper on the same topic. Prerequisite: BCSC 240/NSCI 201. BIOL 250 is helpful but not required. |
|
Tuesday | |
BCSC 541-2
Farran Briggs
|
|
This course takes a bottom-up approach to understanding the neurons and circuits of the sensory systems in the mammalian brain. Thematic topics will include: structural and functional diversity among sensory neuronal populations, common themes across sensory systems such as parallel information processing, coordination among feedforward/feedback circuits, and neuronal plasticity during development of functional domains. The final course module will focus on exploring the neuronal mechanisms of attention, again from a neuron- and circuit-centric perspective. Visual, auditory, and somatosensory systems will be discussed with most emphasis on the visual system as a model for understanding structure/function relationships. The course will also introduce students to modern methodological approaches in systems neuroscience aimed at measuring and manipulating the activity of large populations of neurons while also incorporating information about individual neuronal identity, structure, and circuit connectivity. Prerequisite: BCSC 240/NSCI 201 |
|
BCSC 541-3
Farran Briggs
|
|
This course takes a bottom-up approach to understanding the neurons and circuits of the sensory systems in the mammalian brain. Thematic topics will include: structural and functional diversity among sensory neuronal populations, common themes across sensory systems such as parallel information processing, coordination among feedforward/feedback circuits, and neuronal plasticity during development of functional domains. The final course module will focus on exploring the neuronal mechanisms of attention, again from a neuron- and circuit-centric perspective. Visual, auditory, and somatosensory systems will be discussed with most emphasis on the visual system as a model for understanding structure/function relationships. The course will also introduce students to modern methodological approaches in systems neuroscience aimed at measuring and manipulating the activity of large populations of neurons while also incorporating information about individual neuronal identity, structure, and circuit connectivity. Prerequisite: BCSC 240/NSCI 201 |
|
BCSC 541-4
Farran Briggs
|
|
This course takes a bottom-up approach to understanding the neurons and circuits of the sensory systems in the mammalian brain. Thematic topics will include: structural and functional diversity among sensory neuronal populations, common themes across sensory systems such as parallel information processing, coordination among feedforward/feedback circuits, and neuronal plasticity during development of functional domains. The final course module will focus on exploring the neuronal mechanisms of attention, again from a neuron- and circuit-centric perspective. Visual, auditory, and somatosensory systems will be discussed with most emphasis on the visual system as a model for understanding structure/function relationships. The course will also introduce students to modern methodological approaches in systems neuroscience aimed at measuring and manipulating the activity of large populations of neurons while also incorporating information about individual neuronal identity, structure, and circuit connectivity. Prerequisite: BCSC 240/NSCI 201 |
|
BCSC 541-5
Farran Briggs
|
|
This course takes a bottom-up approach to understanding the neurons and circuits of the sensory systems in the mammalian brain. Thematic topics will include: structural and functional diversity among sensory neuronal populations, common themes across sensory systems such as parallel information processing, coordination among feedforward/feedback circuits, and neuronal plasticity during development of functional domains. The final course module will focus on exploring the neuronal mechanisms of attention, again from a neuron- and circuit-centric perspective. Visual, auditory, and somatosensory systems will be discussed with most emphasis on the visual system as a model for understanding structure/function relationships. The course will also introduce students to modern methodological approaches in systems neuroscience aimed at measuring and manipulating the activity of large populations of neurons while also incorporating information about individual neuronal identity, structure, and circuit connectivity. Prerequisite: BCSC 240/NSCI 201 |
|
Tuesday and Thursday | |
BCSC 541-1
Farran Briggs
|
|
This course takes a bottom-up approach to understanding the neurons and circuits of the sensory systems in the mammalian brain. Thematic topics will include: structural and functional diversity among sensory neuronal populations, common themes across sensory systems such as parallel information processing, coordination among feedforward/feedback circuits, and neuronal plasticity during development of functional domains. The final course module will focus on exploring the neuronal mechanisms of attention, again from a neuron- and circuit-centric perspective. Visual, auditory, and somatosensory systems will be discussed with most emphasis on the visual system as a model for understanding structure/function relationships. The course will also introduce students to modern methodological approaches in systems neuroscience aimed at measuring and manipulating the activity of large populations of neurons while also incorporating information about individual neuronal identity, structure, and circuit connectivity. Prerequisite: BCSC 240/NSCI 201 |
|
BCSC 572-1
Mujdat Cetin
|
|
This is the third course offered as part of the PhD training program on augmented and virtual reality (AR/VR). The goal of the course is to provide interdisciplinary collaborative project experience in AR/VR. The course involves small teams of students from multiple departments working together on semester-long projects on AR/VR with the guidance of one or more faculty involved in the PhD training program. The expected end products of this Practicum course are tangible artifacts that represent what the students have learned, discovered, or invented. Types of artifacts include research papers; patent applications; open-source software; as well as online tutorials and videos for undergraduates, K-12 students, or the general public. Prerequisites: ECE 410-1 or OPT 410-1 or BME 410-1 or BCSC 570-1 or NSCI 415-1 or CSC 413-1 or CVSC 534-1 Instructors: Lead - Mujdat Cetin; Zhen Bai, Jannick Rolland, Michele Rucci |
|
BCSC 580-1
Marius Iordan
|
|
An interdisciplinary tour of human cognition with a special focus on large-scale neural representations in the human brain. Topics will include categorization, semantics, attention, memory, language, and cognitive control, with an emphasis on cutting-edge research that lies at the intersection of neuroscience, psychology, and computer science. The course will provide introductions to several neuroimaging (e.g., fMRI, MEG, EEG) and neural manipulation methodologies (e.g., TMS, tDCS, neurofeedback) and will involve discussions of advanced machine learning analysis techniques (multivariate pattern recognition algorithms, deep neural networks, Hidden Markov Models). Format: lectures and student-led seminar discussions. |
|
Wednesday | |
Thursday | |
BCSC 505-1
Gregory DeAngelis
|
|
This team-taught course will provide an interdisciplinary introduction to sensory perception, interplay between action and perception, as well as their basic neural foundations. Topics to be covered include: fundamentals of perceptual detection and discrimination, eye movements, visual perception of form, motion, and depth, haptic perception, basics of neural coding, multisensory processing, and attention. |
|
Friday |