Twin Cities campus
Twin Cities Campus

Translational Sensory Sciences Minor

College of Liberal Arts
Link to a list of faculty for this program.
Contact Information
Center for Applied & Translational Sensory Science S39 Elliott Hall 75 East River Parkway Minneapolis, MN
  • Program Type: Graduate free-standing minor
  • Requirements for this program are current for Fall 2019
  • Length of program in credits (doctoral): 12
  • This program does not require summer semesters for timely completion.
The translational sensory sciences minor provides students with a focused, multidisciplinary educational background and research training opportunities to address critical challenges in the development of assistive technologies that meaningfully improve the lives of people with sensory disabilities.
Program Delivery
  • via classroom (the majority of instruction is face-to-face)
Prerequisites for Admission
Special Application Requirements:
Students must be enrolled in a University doctoral program.
For an online application or for more information about graduate education admissions, see the General Information section of this website.
Program Requirements
Use of 4xxx courses toward program requirements is permitted under certain conditions with adviser approval.
Required Courses (5 credits)
Take the following courses for a total of 5 credits:
GCC 5022 - The Human Experience of Sensory Loss: Seeking Equitable and Effective Solutions [TS] (3.0 cr)
CGSC 8410 - Perspectives in Learning, Perception, and Cognition (2.0 cr)
Program Sub-plans
A sub-plan is not required for this program.
Students may not complete the program with more than one sub-plan.
Elective Courses
Select elective courses, in consultation with the Translational Sensory Sciences director of graduate studies, to provide 7 or more additional credits to complete the 12-credit minimum. Courses may be from the following list or with approval of the director of graduate studies.
BMEN 5413 - Neural Decoding and Interfacing (3.0 cr)
BMEN 8101 - Biomedical Digital Signal Processing (3.0 cr)
CSCI 5525 - Machine Learning (3.0 cr)
CSCI 5561 - Computer Vision (3.0 cr)
CSCI 5115 - User Interface Design, Implementation and Evaluation (3.0 cr)
CSCI 5521 - Introduction to Machine Learning (3.0 cr)
CSCI 5619 - Virtual Reality and 3D Interaction (3.0 cr)
CSCI 5801 - Software Engineering I (3.0 cr)
KIN 5941 - Clinical Movement Neuroscience (3.0 cr)
OTOL 8234 - Anatomy of the Head and Neck and Temporal Bone Dissection (2.0 cr)
PSY 5031W - Perception [WI] (3.0 cr)
PSY 5065 - Functional Imaging: Hands-on Training (3.0 cr)
PSY 5038W - Introduction to Neural Networks [WI] (3.0 cr)
PSY 8041 - Proseminar in Perception (3.0 cr)
SLHS 5804 - Cochlear Implants (3.0 cr)
SLHS 5807 - Noise and Hearing Conservation (3.0 cr)
SLHS 5808 - Pathophysiology of Hearing Disorders (3.0 cr)
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GCC 5022 - The Human Experience of Sensory Loss: Seeking Equitable and Effective Solutions (TS)
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Periodic Fall & Spring
This course focuses on the visual, auditory, and other sensory pathways that convey information about the world to mind and brain. Millions of people worldwide experience deficits in sensory function that affect their quality of life. We will focus on the characteristics of healthy sensory functioning as well as how sensory disorders can affect personal identity, impede information processing, and alter brain structure and function. The course will address the demographics and risk factors for sensory disabilities, the implications of these disabilities for activities of daily living, the history of society's response to sensory disability, as well as societal, ethical, and personal attitudes toward sensory disabilities. The course will also explore translational and applied approaches for addressing sensory disabilities. Each class session will be co-taught by a pair of instructors, representing multiple scientific and social perspectives. A major goal of the course is to view sensory function and impairment from multiple perspectives cognitive science, neuroscience, medicine, engineering, society, consumers, ethics and social justice. The course will combine lectures, discussions, and student-led presentations of research papers. The course will include hands-on demonstrations of assistive technology and panel discussions with people with visual and hearing disabilities. During the semester, each student (or pairs of students) will develop a mini research proposal to address a real-world issue related to sensory impairment. The proposal must be translational in nature, and must include consultation with consumers of the proposed project. The final class session will be devoted to poster presentations of the mini proposals. The proposal report must include consideration of potentially opposing viewpoints about the proposed research. This course addresses two of our University's grand challenges: Advancing Health Through Tailored Solutions, and Just and Equitable Communities. This is a Grand Challenge Curriculum course.
CGSC 8410 - Perspectives in Learning, Perception, and Cognition
Credits: 2.0 [max 24.0]
Grading Basis: S-N only
Typically offered: Every Fall & Spring
Lectures/discussions in cognitive sciences by local/visiting faculty.
BMEN 5413 - Neural Decoding and Interfacing
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Neural interface technologies currently in use in patients as well as the biophysical, neural coding, and hardware features relating to their implementation in humans. Practical and ethical considerations for implanting these devices into humans. prereq: 5411, [3201 or 3401 or equiv recommended]
BMEN 8101 - Biomedical Digital Signal Processing
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Signal processing theory for analyzing real world digital signals. Digital signal processing and mathematically derived algorithms for analysis of stochastic signals. Spectral analyses, noise cancellation, optimal filtering, blind source separation, beamforming techniques. prereq: [[MATH 2243 or MATH 2373], [MATH 2263 or MATH 2374]] or equiv
CSCI 5525 - Machine Learning
Credits: 3.0 [max 3.0]
Typically offered: Fall Even Year
Models of learning. Supervised algorithms such as perceptrons, logistic regression, and large margin methods (SVMs, boosting). Hypothesis evaluation. Learning theory. Online algorithms such as winnow and weighted majority. Unsupervised algorithms, dimensionality reduction, spectral methods. Graphical models. prereq: Grad student or instr consent
CSCI 5561 - Computer Vision
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Issues in perspective transformations, edge detection, image filtering, image segmentation, and feature tracking. Complex problems in shape recovery, stereo, active vision, autonomous navigation, shadows, and physics-based vision. Applications. prereq: 5511 or instr consent
CSCI 5115 - User Interface Design, Implementation and Evaluation
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Theory, design, programming, and evaluation of interactive application interfaces. Human capabilities and limitations, interface design and engineering, prototyping and interface construction, interface evaluation, and topics such as data visualization and World Wide Web. Course is built around a group project. prereq: 4041 or instr consent
CSCI 5521 - Introduction to Machine Learning
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall
Problems of pattern recognition, feature selection, measurement techniques. Statistical decision theory, nonstatistical techniques. Automatic feature selection/data clustering. Syntactic pattern recognition. Mathematical pattern recognition/artificial intelligence. prereq: [[2031 or 2033], STAT 3021] or instr consent
CSCI 5619 - Virtual Reality and 3D Interaction
Credits: 3.0 [max 3.0]
Typically offered: Spring Odd Year
Introduction to software, technology/applications in virtual/augmented reality, 3D user interaction. Overview of current research. Hands-on projects. prereq: 4611 or 5607 or 5115 or equiv or instr consent
CSCI 5801 - Software Engineering I
Credits: 3.0 [max 3.0]
Prerequisites: 2041 or #
Typically offered: Every Fall
Advanced introduction to software engineering. Software life cycle, development models, software requirements analysis, software design, coding, maintenance. prereq: 2041 or instr consent
KIN 5941 - Clinical Movement Neuroscience
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Periodic Spring
Various neural subsystems involved in controlling human motor function. How injury and disease of the nervous system affects motor behavior. Possibilities for rehabilitation and treatment. Lectures, seminars, class presentations. prereq: [3027 or ANAT 3001 or ANAT 3601 or ANAT 3611 or equiv], [PHSL 3051 or equiv], [4441]
OTOL 8234 - Anatomy of the Head and Neck and Temporal Bone Dissection
Credits: 2.0 [max 2.0]
Typically offered: Every Fall, Spring & Summer
Head and neck anatomy studied from cadaver through programmed learning. Temporal bones dissected to learn anatomy and to practice otologic surgical procedures. S/N for nonmajors only. prereq: Grad otol major or instr consent
PSY 5031W - Perception (WI)
Credits: 3.0 [max 3.0]
Course Equivalencies: NSc/Psy 5031
Typically offered: Fall Odd Year
Cognitive, computational, and neuroscience perspectives on visual perception. Topics include color vision, pattern vision, image formation in the eye, object recognition, reading, and impaired vision. prereq: 3031 or 3051 or instr consent
PSY 5065 - Functional Imaging: Hands-on Training
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Basic neuroimaging techniques/functional magnetic resonance imaging (fMRI). First half of semester covers basic physical principles. Second half students design/execute fMRI experiment on Siemens 3 Tesla scanner. prereq: [3801 or equiv], [3061 or NSCI 3101], instr consent
PSY 5038W - Introduction to Neural Networks (WI)
Credits: 3.0 [max 3.0]
Typically offered: Fall Odd Year
Parallel distributed processing models in neural/cognitive science. Linear models, Hebbian rules, self-organization, non-linear networks, optimization, representation of information. Applications to sensory processing, perception, learning, memory. prereq: [[3061 or NSC 3102], [MATH 1282 or 2243]] or instr consent
PSY 8041 - Proseminar in Perception
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Fall Odd Year
Seminar. Advanced topics in auditory and visual perception. Lecture, discussion, and student-led presentations of research papers on core topics of the peripheral visual and auditory systems, cortical representations, behavioral and brain-imaging methods, and computational approaches to understanding/simulating perception. prereq: Psy grad student or instr consent
SLHS 5804 - Cochlear Implants
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Spring
Implantable auditory prostheses. History of device development, including cochlear implants and auditory brainstem implants. Signal processing. Techniques for selection, fitting, and rehabilitation. Behavioral/physiological changes across life span. prereq: [[4802, 5801, 5802] or [CDIS 4802, CDIS 5801, CDIS 5802], SLHS grad] or instr consent
SLHS 5807 - Noise and Hearing Conservation
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall
Formative assessment in hearing conservation. Auditory and nonauditory effects of noise on humans. Designing a hearing conservation program. Measuring noise levels. Monitoring hearing. Measuring hearing protection devices. Developing educational materials Describe federal and state regulations on hearing conservation. Students work in groups to measure noise in campus settings, perform real-ear assessment of hearing protectors, and develop and pilot-test educational materials on effects of noise on hearing. prereq: [8801, 8802] or [CDis 8801, CDis 8802]
SLHS 5808 - Pathophysiology of Hearing Disorders
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Summer Odd Year
Disorders of auditory system, including anatomical, physiological, perceptual, and audiological manifestations of pathologies affecting hearing. Focus will be on understanding current data on physiology, pharmacology, and novel treatment alternatives prereq: [[8801, 8802] or [CDIS 8801, CDIS 8802], SLHS grad] or instr consent