scholarly journals A University-State College Collaborative Project to Advance Students' Degree Completion and Career Attainment in Engineering and Computer Science

2020 ◽  
Author(s):  
Ali Zilouchian ◽  
Nancy Romance ◽  
Annie Myers ◽  
Dana Hamadeh ◽  
Michael Vitale
Keyword(s):  
Computer Science ◽  
Degree Completion ◽  
Collaborative Project ◽  
Career Attainment ◽  
State College

scholarly journals University – State College Curriculum Model for Student Success in Engineering and Computer Science Programs

2020 ◽  
Author(s):  
Ali Zilouchian ◽  
Nancy Romance ◽  
Dana Hamadeh ◽  
Annie Myers ◽  
Michael Vitale
Keyword(s):  
Student Success ◽  
Computer Science ◽  
College Curriculum ◽  
Curriculum Model ◽  
State College

scholarly journals A virtual “Werkstatt” for digitization in the sciences

2020 ◽  
Vol 6 ◽  
Author(s):  
Sheeba Samuel ◽  
Maha Shadaydeh ◽  
Sebastian Böcker ◽  
Bernd Brügmann ◽  
Solveig Franziska Bucher ◽  
...  
Keyword(s):  
Machine Learning ◽  
Computer Science ◽  
Intelligent Systems ◽  
Knowledge Generation ◽  
Collaborative Project ◽  
Scientific Disciplines ◽  
Data Life Cycle ◽  
Fundamental Research ◽  
Almost All ◽  
Key Aspects

Data is central in almost all scientific disciplines nowadays. Furthermore, intelligent systems have developed rapidly in recent years, so that in many disciplines the expectation is emerging that with the help of intelligent systems, significant challenges can be overcome and science can be done in completely new ways. In order for this to succeed, however, first, fundamental research in computer science is still required, and, second, generic tools must be developed on which specialized solutions can be built. In this paper, we introduce a recently started collaborative project funded by the Carl Zeiss Foundation, a virtual manufactory for digitization in the sciences, the “Werkstatt”, which is being established at the Michael Stifel Center Jena (MSCJ) for data-driven and simulation science to address fundamental questions in computer science and applications. The Werkstatt focuses on three key areas, which include generic tools for machine learning, knowledge generation using machine learning processes, and semantic methods for the data life cycle, as well as the application of these topics in different disciplines. Core and pilot projects address the key aspects of the topics and form the basis for sustainable work in the Werkstatt.

Mentors for Undergraduates in Technical Disciplines: A Collaborative Effort by Faculty, Student Development Professionals, and Alumni to Improve Undergraduate Retention and Success in Technical Majors

2000 ◽  
Vol 1 (4) ◽  
pp. 311-321 ◽  
Author(s):  
Elizabeth Newton ◽  
Linda Wells-Glover
Keyword(s):  
Computer Science ◽  
Degree Completion ◽  
Student Development ◽  
Career Exploration ◽  
Career Goals ◽  
Collaborative Effort ◽  
Student Groups ◽  
Development Professionals ◽  
Undergraduate Retention ◽  
Computer Science Faculty

Certain identifiable student groups are underrepresented and/or experience difficulties with degree completion in technical majors. In this project, mathematics and computer science faculty, alumni in these disciplines, and student development personnel collaborated to provide support for these students. Preliminary data suggests that a combination of career exploration and mentoring is helpful to these students in refining and pursuing their educational and career goals.

Gender Differences in Hackathons as a Non-traditional Educational Experience

2021 ◽  
Vol 21 (2) ◽  
pp. 1-30
Author(s):  
Caroline D. Hardin
Keyword(s):  
Gender Differences ◽  
Computer Science ◽  
Educational Experience ◽  
Science Students ◽  
Collaborative Project ◽  
Computing Education ◽  
Educational Benefits ◽  
The Past

Hackathons, the time-bound collaborative project-based computer science competitions increasingly popular with computer science students, are one of the largest-scale innovations in computing education of the past decade. This research examined three hackathons and 46,500 surveys to find that educational benefits were unequal between genders in ways that would especially impact women returning to the workforce.

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