`2019-07-15 07:00:00``2019-07-18 16:00:00``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``OSU ASC Drupal 8``ascwebservices@osu.edu``America/New_York``public`

`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``Mathematical Biosciences Institute``mbi-webmaster@osu.edu``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:

- 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.

## Organizers

**Juan Arratia**

Student Research Development Center

Universidad Metropolitana

juan.arratia@gmail.com

**Janet Best**

Mathematical Biosciences Institute

The Ohio State University

jbest@math.ohio-state.edu

**Catherine Calder**

Mathematical Biosciences Institute

The Ohio State University

calder.13@osu.edu

**Carina Curto**

Department of Mathematics

Pennsylvania State University

ccurto@psu.edu

**Tamal K. Dey**

Department of Computer Science and Engineering

The Ohio State University

dey.8@osu.edu

**Craig Jackson**

Mathematics and Computer Science Department

Ohio Wesleyan University

chjackso@owu.edu

**Matthew Kahle**

Department of Mathematics

The Ohio State University

kahle.70@osu.edu

**Sebastian Kurtek**

Department of Statistics

The Ohio State University

kurtek.1@stat.osu.edu

**Alicia Prieto Langarica**

Department of Mathematics and Statistics

Youngstown State University

aprietolangarica@ysu.edu

**Erin Leatherman**

Department of Mathematics & Statistics

Kenyon College

leatherman1@kenyon.edu

**Yune Lee**

Department of Speech and Hearing Science

The Ohio State University

lee.7966@osu.edu

**Facundo Memoli**

Department of Mathematics

The Ohio State University

memoli@math.osu.edu

**Tom Needham**

Department of Mathematics

The Ohio State University

needham.71@osu.edu

**Pamela Pyzza**

Department of Mathematics and Computer Science

Ohio Wesleyan University

pbpyzza@owu.edu

**Karen Rios Soto**

Department of Mathematics

University of Puerto Rico

karen.rios3@upr.edu

**Stephen Rodabaugh**

College of Science, Technology, Engineering, and Mathematics

Youngstown State University

serodabaugh@ysu.edu

**David Sivakoff**

Departments of Statistics and Mathematics

The Ohio State University

dsivakoff@stat.osu.edu

**Jamal Tartir**

Department of Mathematics

Youngstown State University

tartir@ysu.edu

**Yusu Wang**

Department of Computer Science and Engineering

The Ohio State University

yusu@cse.ohio-state.edu

**Abdul-Aziz Yakubu**

Department of Mathematics

Howard University

ayakubu@Howard.edu

This workshop is supported by the National Science Foundation Division of Mathematical Sciences (DMS) and Division of Computing and Communication Foundations (CCF).