This report shows the various collaborative projects between UNO and the community. Various filters are provided to gain a better understanding of how different UNO units collaborate with the community.
| Project | Project Focus Areas | Community Partners | Campus Partners | Engagement Type: | Activity Type: | Other Activity Type: | Start Semester: | Start Academic Year: | End Semester: | End Academic Year: | Total UNO Students: | UNO Students Hours: | UNO Faculty/Staff Hours: | Total K-12 Students: | K-12 Student Hours: | Total Number of Other Participants: | Topics: | Other Topics: | Description: | Subtags: |
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| TOOLS FOR DATA ANALYSIS (Spring 2023): 2022-23 (3342) | Educational Support | Human Rights Violators and War Crimes Center (HRVWCC) | Business, Service Learning Academy (SLA) | Service Learning | None | None | Spring | 2022-23 | None | 27 | 440 | 0 | 0 | 0 | 0 | The course will cover basic principles of programming languages, as well as libraries useful in collecting, cleaning and analyzing data to answer research questions. The course will utilize basic Economic principles and Econometric methods as inspiration for assignments and projects throughout the duration of the course, and will do so in a way that is accessible to non-Economists. This course is intended to introduce the student to the Python programming language as a tool for conducting data analysis. While the course uses Python, the student should be able to move to other languages frequently used in data analysis using the principles taught in this course. ECON 8320.001 | ||||
| BUSINESS FORECASTING (Spring 2023): 2022-23 (3343) | Educational Support | Human Rights Violators and War Crimes Center (HRVWCC) | Business, Service Learning Academy (SLA) | Service Learning | None | None | Spring | 2022-23 | None | 25 | 407 | 0 | 0 | 0 | 0 | The course will cover forecasting tools and applications applied to business settings. The first half of the course will cover traditional Econometric forecasting methods and the second half of the course will focus on predictive analytics models and machine learning. Time in the computer lab will be focused on teaching students how to implement the models discussed in lectures. (Cross-listed with BSAD 8080). ECON 8310.850 TRADITIONAL |