### 🍎 Courses Taught

__Statistics__- Statistics for Business and Economics
- Introductory Statistics
- Statistics II
- Statistical Methods and Data Analysis
- Design of Experiments
- Online Graduate Intermediate Probability
- Statistical Computing
- Introduction to Probability and Distribution Theory
- Introduction to Statistical Inference and Regression
- Mathematical Statistics I
- Mathematical Statistics II
- Teaching and Learning of Statistical Thinking

__Mathematics__- Topics in Mathematics and Their Applications
- College Algebra
- Precalculus
- Calculus with Precalculus (2 semester sequence)
- Calculus

__ComputerScience__- Introduction to Python

### 🏅 Honors and Awards

- Michiana Forty under 40 – 2023
- Indiana University at South Bend Computer Science Department Excellence Award – 2022
- North Carolina State University Statistics Master’s student of the year – 2012.
- Sarah Parks-Divine Mathematics Scholar – 2004.

### 📄 Certifications

- Actuary Exam P – 2006
- CITI training – Social and Behavior Research – 2021

### 📰 In the News

### 👪 Professional Memberships

- Member of the American Statistical Association (ASA)

– Member of the ASA section on Statistics Education - Member of the Special Interest Group on Computer Science Education (SIGCSE)
- Member of the Institute of Electrical and Electronics Engineers (IEEE)

### 🌎 Service

__College Level Service__- Undergraduate Research Advisor, The University of Notre Dame
- Undergraduate Statistics Class Project (USCLAP) Mentor
- Commencement Marshall, The University of Notre Dame
- Learning Management System Pilot Member, The University of Notre Dame
- Faculty Advisor – Data Club, The University of Notre Dame
- Mentor – Building Bridges Program, The University of Notre Dame
- Immersion Consultant – Notre Dame Master’s in Data Science
- STEM Retention Analyst – Jordan College of Science, The University of Notre Dame
- Data Fest Coordinator, The University of Notre Dame
- Retention Data Consultant – Department of Admissions, Meredith College.
- Admissions Committee Interviewer – Honors Program, Meredith College.
- Hiring Committee – Department of Mathematics and Computer Science, Meredith College.
- Adviser – Start Strong program for ‘at risk’ freshman, Meredith College.
- Cheerleading Coach, Surry Community College.

– Ryan Elkins (2023)

– Savannah Vetterly (2022)

– Michaela Delaney (2022)

– Mitchell Larson (2021)

– Zachary Calvert (2021)

– Savannah Vetterly (2022)

– Michaela Delaney (2022)

– Mitchell Larson (2021)

– Zachary Calvert (2021)

– Li Mengyuan and Qingdi (Cindy) Du (Spring 2023)

– Lawrence Tiangco and Ziyang “Z” Wang (Spring 2023)

– James Mancini, Matthew Dolan and Jack O’Sullivan (Fall 2022)

– Benjamin Riner, Gregory Vogt and Emma Williams (Spring 2022)

– Ana Calderon Raisbeck, Nicholas Andrysiak and Maximillian Cook (Spring 2022)

– Xinyi Ye and Jiarui Baai (Fall 2021)

– Peter Emanuelli and Ian Johnston (Fall 2021)

– Hakeem Ceesay, Reid VonDielingen and Riley Mulshine (Spring 2021)

– Lawrence Tiangco and Ziyang “Z” Wang (Spring 2023)

– James Mancini, Matthew Dolan and Jack O’Sullivan (Fall 2022)

– Benjamin Riner, Gregory Vogt and Emma Williams (Spring 2022)

– Ana Calderon Raisbeck, Nicholas Andrysiak and Maximillian Cook (Spring 2022)

– Xinyi Ye and Jiarui Baai (Fall 2021)

– Peter Emanuelli and Ian Johnston (Fall 2021)

– Hakeem Ceesay, Reid VonDielingen and Riley Mulshine (Spring 2021)

__Professional Service__- NSF grant reviewer
- Undergraduate Statistics Project Competition (USPROC) Judge
- Mentor for First Year Teaching Faculty- ACMS Department, The University of Notre Dame
- Mentor for First Year PhD Students- STEM Education Department, North Carolina State University
- Reviewer – Statistics Education Research Journal (SERJ)
- Reviewer – Journal of Statistics and Data Science Education (JSDSE)
- Reviewer – Statistics Education Web, ASA.
- Consultant – Course redesign for the Department of Statistics, University of Georgia.
- Advanced Placement Reader – Statistics, Educational Testing Service.

### 💻 Technological Experience

- R-suite technologies: R, R Markdown and R Shiny.
- Programming languages: Python, Java, SQL, C++, C#, HTML, CSS.
- Mathematics and Statistics Education Software: Geometer’s Sketchpad, Fathom, TinkerPlots and StatCrunch.
- Microsoft Office: Word, Excel and PowerPoint.

### 🎓 Education

- Ph.D., Mathematics and Statistics Education, North Carolina State University, Raleigh NC; December 2017

Dissertation: How Learning Statistical Computing May Impact a Student’s Ability to Think and Reason Statistically

Adviser: Hollylynne Lee - M.S., Computer Science, Indiana University at South Bend, South Bend, IN; December 2023.
- M.S., Statistics, North Carolina State University, Raleigh NC; May 2012

Minor: Economics - M.S., Mathematics, Ohio University, Athens Ohio; August 2007

Thesis: Contextual Learning in the Mathematics Classroom

Adviser: Laura Moss - B.S., Actuarial Science, Ohio University, Athens Ohio; May 2006

Minor: Business

### 🔨 Professional Experience

**Applied and Computational Mathematics and Statistics (ACMS) Department, University of Notre Dame**

**– Associate Professor: 2023 – Present**

**– Assistant Professor: 2018 – 2023**

- Taught undergraduate and graduate level statistics courses.
- Developed new ACMS courses including: Design of Experiments (undergraduate) and Online Intermediate Probability (graduate).
- Assisted in College of Science retention initiative.
- Assisted and presented at Data Science Master’s Program Immersions.
- Organized the American Statistical Association’s Data Fest at Notre Dame.

**Mathematics and Computer Science Department, Meredith College**

**– Assistant Professor: 2017 – 2018**

**– Faculty: 2012 – 2017**

- Taught 21 to 24 credit hours per year in mathematics and statistics.
- Advised Freshman and served as a summer advising counselor.
- Created and trained a team to attend ASA Data Fest.
- Wrote and administered the Kraines exam, an annual mathematics competition for freshman and sophomores.

**Department of Mathematics and Statistics Education, North Carolina State University**

**– Graduate Research Assistant: 2014 – 2015**

- Conducted quantitative and qualitative research on student responses to questions about randomization testing while utilizing technology.
- Research team included H. Lee, W. West, D. Tran, J. Nichol & V. Weber.

**Department of Statistics, North Carolina State University**

**– Adjunct Professor: 2012 – 2014**

**– Graduate Assistant: 2010 – 2012**

- Taught undergraduate level statistics courses during summer sessions.
- Instructed introductory statistics section of 100 students.
- Developed resources for hybrid undergraduate statistics course in Moodle.
- Served as senior TA for the undergraduate introductory statistics course.

**Mathematics and Developmental Studies Departments, Surry Community College**

**– Instructor: 2007 – 2010**

- Taught developmental and college level mathematics courses.
- Represented the mathematics department in the college website redesign process.
- Trained fellow faculty members on technology.

**Department of Mathematics, Ohio University**

**– Graduate Assistant: 2006 – 2007**

- Taught sections of algebra, geometry and statistics.
- Served as resource coordinator for the algebra sections.

### 📖 Publications

**Woodard, V.**(2023).*Five Hands-on Experiments for a Design of Experiments Course.*Journal of Statistics and Data Science Education.**Woodard, V.**and Lee, H. (2021).*How Students Use Statistical Computing in Problem Solving.*Journal of Statistics Education.**Woodard, V.**, Lee, H., and Woodard, R. (2020).*Writing Assignments to Assess Statistical Thinking.*Journal of Statistics Education, 1-13.- Huebner, A.;
**Woodard, V.**(2020).*ACMS 30600 Course Pack.*LAD Custom Publishing. - Duan, Xiaojing, Ambrose, G. Alex, Wang, Chaoli, Abbott, Kevin,
**Woodard, Victoria**, Young, Kelley (2020).*Learning Analytics for Inclusive STEM Student Success.*Learning Analytics & Knowledge Conference. Practitioner Report and Poster. Frankfurt, Germany. **Woodard, V.**(2018).*Defining the relationship between statistical thinking and statistical computing.*Proceedings of the 10th International Conference on Teaching Statistics.**Weber, V. L.**(2017).*Defining the Relationship Between Learning Statistical Computing and a Student’s Ability to Think and Reason Statistically.*North Carolina State University Dissertation Repository.- Kaplan, J. J., Roland, K. E.,
**Weber, V. L.**, & Woodard, R. D. (2016).*Stat 2000 Introductory Statistics Lab Manual.*Hayden-McNeil. **Weber, V. L.**, Fortune, N., Whitehead, A., Williams, D., & Whitehead, A. (2016).*Mathematical Modeling with MyMaps and Spreadsheets.*Mathematics Teacher, 110(2), 147-150.

### 🎤 Presentations

**Woodard, Victoria**(2024).*When Numbers Lie: Algorithms and AI.*Our Universe Revealed Series, South Bend Library**Woodard, Victoria**(2023).*How Students use Statistical Computing in Problem Solving.*North Carolina State University: Virtual.**Victoria Woodard**(2023).*Using ChatGPT to Help with Teaching Statistics*. Symposium on Data Science and Statistics, American Statistical Association, Saint Louis, MO.- Duan, Xiaojing; Kumar, Shreya; Walden, Katherine; and
**Woodard, Victoria**(2023).*Women Who Code Panel.*Navari Family Center for Digital Scholarship, Technology and Digital Studies HUB, Notre Dame, IN. **Victoria Woodard**(2023).*How to Teach Using a Flipped Classroom.*Algeria Research Hub Lecture Series: Virtual.- Johanna Hardin,
**Victoria Woodard**and Nicholas Horton (2021).*Integrating Computational Thinking into Statistics Education.*United States Conference on Teaching Statistics (USCOTS): Virtual. **Woodard, Victoria**(2021).*See. Repeat. Understand? Lessons in Teaching Statistical Computing to Statistics Students.*Appalachian State University Colloquium Series: Virtual.**Woodard, Victoria**(2020).*Learning Design of Experiments Through a Flipped Classroom Experience.*Joint Statistical Meetings: Virtual.- Duan, Xiaojing; Ambrose, G. Alex; Wang, Chaoli; Abbott, Kevin;
**Woodard, Victoria**; Schalk, Catlin (2020).*PerformanceVis: Homework & Exam Analytics Dashboard for Inclusive Student Success.*Learning Analytics & Knowledge Conference. Practitioner Demo. Frankfurt, Germany. - Ambrose, G. Alex; Duan, Xiaojing; Abbott, Kevin;
**Woodard, Victoria**(2019).*Inclusive Learning Analytics to Improve STEM Student Success.*EDUCAUSE Main Conference, Chicago, IL **Woodard, V.**(2018).*Defining the relationship between statistical thinking and statistical computing.*The 10th International Conference on Teaching Statistics. Kyoto, Japan.- Lee, H.; Franklin, C.; Halvoren, K.; Mutlu, A.; Posner, M.; &
**Weber, V.**(2017).*Design, implementation, and impact of different approaches to professional development for teachers of statistics.*Joint Statistical Meetings. Boston, MA. **Weber, V.**(2017).*How does statistical computing impact statistical thinking?*North Carolina State University STEM Education Research Symposium. Raleigh, NC.**Weber, V.**(2017).*How learning statistical computing may impact a student’s ability to think and reason statistically.*North Carolina State University Graduate Research Symposium. Raleigh, NC.**Weber, V.**(2016).*Using physical manipulatives in teaching randomization tests.*North Carolina Sate University STEM Education Research Symposium. Raleigh, NC.**Weber, V.**, Fortune, N., & Williams, D. (2015).*Google MyMaps and Excel.*North Carolina Council of Teachers of Mathematics. Greensboro, NC.**Weber, V.**(2015).*Physical Manipulatives in Teaching Randomization Tests.*Joint Statistical Meetings. Seattle, WA.