TGDA+Neuro Curriculum Design Workshop

Neuroscience figures
July 15 - July 18, 2019
8:00 am - 5:00 pm
MBI Auditorium, Jennings Hall 355

Date Range
2019-07-15 08:00:00 2019-07-18 17:00:00 TGDA+Neuro Curriculum Design Workshop The Curriculum Design Workshop is the first phase of MBI's TRIPODS+X:EDU: TGDA+Neuro program, a partnership with Ohio State's TGDA@OSU. Faculty participants in the workshop will follow a modified course design experience facilitated by The Ohio State University Center for the Advancement of Teaching. The curriculum will be designed around the following program objectives: To understand the purpose and use of different imaging modalities, in neuroscience research. To understand the data processing steps from raw images to working data files for analysis. These usually include co-registration of structural and functional imaging modalities, motion correction and spatial smoothing, among others. To understand the potential of geometric and topological methods for neuroscience data analysis to extract relevant features, and provide insight into the underlying structure in the data. To be proficient in the use of standard computational packages based on TGDA methods. To be able to communicate results from TGDA methods applied to neuroscience data to diverse audiences. Participation in the workshop is limited to members of the TGDA+Neuro Program organizing committee. MBI Auditorium, Jennings Hall 355 America/New_York public

The Curriculum Design Workshop is the first phase of MBI's TRIPODS+X:EDU: TGDA+Neuro program, a partnership with Ohio State's TGDA@OSU. Faculty participants in the workshop will follow a modified course design experience facilitated by The Ohio State University Center for the Advancement of Teaching. The curriculum will be designed around the following program objectives:

  1. To understand the purpose and use of different imaging modalities, in neuroscience research.
  2. To understand the data processing steps from raw images to working data files for analysis. These usually include co-registration of structural and functional imaging modalities, motion correction and spatial smoothing, among others.
  3. To understand the potential of geometric and topological methods for neuroscience data analysis to extract relevant features, and provide insight into the underlying structure in the data.
  4. To be proficient in the use of standard computational packages based on TGDA methods.
  5. To be able to communicate results from TGDA methods applied to neuroscience data to diverse audiences.

Participation in the workshop is limited to members of the TGDA+Neuro Program organizing committee.

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