A Data Science Course for Undergraduates: Thinking with Data

Data science is an emerging interdisciplinary field that combines elements of mathematics, statistics, computer science, and knowledge in a particular application domain for the purpose of extracting meaningful information from the increasingly sophisticated array of data available in many settings. These data tend to be non-traditional, in the sense that they are often live, large, complex, and/or messy. A first course in statistics at the undergraduate level typically introduces students with a variety of techniques to analyze small, neat, and clean data sets. However, whether they pursue more formal training in statistics or not, many of these students will end up working with data that is considerably more complex, and will need facility with statistical computing techniques. More importantly, these students require a framework for thinking structurally about data. We describe an undergraduate course in a liberal arts environment that provides students with the tools necessary to apply data science. The course emphasizes modern, practical, and useful skills that cover the full data analysis spectrum, from asking an interesting question to acquiring, managing, manipulating, processing, querying, analyzing, and visualizing data, as well communicating findings in written, graphical, and oral forms.Comment: 21 pages total including supplementary material

Development of an undergraduate certificate in clinical and translational science: improving competence of the clinical research workforce

Introduction: Academic research centers often struggle to recruit and retain a well-trained and diverse clinical and translational science (CTS) workforce. In particular, the clinical research professional (CRP) career pathway is not well known to undergraduate students and other individuals outside of academic medicine despite being a potential career route. To address these workforce challenges, the CRP Task Force at the University of Cincinnati (UC) aims to train a competent and diverse CRP workforce through targeted educational programming in the UC undergraduate population.Methods: Using a six-step curriculum development process that included: 1) performing a needs assessment, 2) determining content, 3) writing goals and objectives, 4) selecting the educational strategies, 5) implementing the curriculum, and 6) evaluating the curriculum, we designed an undergraduate certificate program in CTS.Results: The needs assessment included both internal and external data gathering to inform curriculum development and program decisions. Content was determined using the Core Competency Framework for the Clinical Research Professional Version 3.1., and program learning outcomes were written with both the competency framework and local workforce needs in mind. Educational strategies were selected based on optimization of available resources and local expertise with an emphasis on interactive didactics complemented by experiential learning. Implementation is underway and evaluation will follow once students begin enrolling.Discussion: By educating an undergraduate student population about CTS methods and career opportunities, we anticipate increased numbers of well-qualified, diverse applicants who pursue CRP careers locally and regionally

First-Year Curricula Review: College of Liberal Arts & Sciences

Student success is central to UMaine\u27s mission, values, reputation and fiscal health. Improving first-year student success is a major focus for Academic Affairs and Student Affairs in 2018-2019. The goal is to develop an integrated plan of actions that will result in improved first year student success as defined by first year retention

Emerging Scholars Program—A PLTL-CS Program That Increases Recruitment and Retention of Women in the Major

The Emerging Scholars Program (ESP) in Computer Science is a Peer Led Team Learning (PLTL) approach to bringing undergraduates new to the discipline together with peer mentors to work on computational problems, and to expose them to the broad array of disciplines within computer science. This program demonstrates that computer science is necessarily a collaborative activity that focuses more on problem solving and algorithmic thinking than on programming. In spring 2012 the computer science department at an urban research university university completed the 9th iteration of ESP, with 104 women and 36 men completing the program. Our evaluation data indicates that ESP increased enrollment in the computer science major. 47% of students who took ESP along with the introduction to computer programming course at the university study site during this study majored in computer science. In addition, survey results indicated that a large majority of students intended to take another computer science course, were enthusiastic about the program, and found the workshop topics exciting and engaging. Participants reported that they learned more about computer science in ESP, and would recommend ESP to others

A Project-based Undergraduate Aerospace Sequence, with Embedded Computational Intelligence

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90648/1/AIAA-2011-1581-293.pd

The Master's Degree: Basic Preparation for Professional Practice

published or submitted for publicatio

MSIS 2006 Implementation Review in Bulgaria

MSIS 2006 is the last version of model curriculum and guidelines for graduate degree programs in information systems, that ACM, AIS, AITP and IFIP have proposed. At Faculty of Mathematics and Informatics of University of Sofia, the oldest Master degree program is in Information systems. Its curriculum has been developed following MSIS 2006 predecessor recommendations. In this paper, specifics in implementation of MSIS 2006 are discussed with focus on Service-Oriented Architecture as a backbone of the new recommendations

Female computer science and engineering undergraduates: reflections on participation in the academic landscape

Women continue to be underrepresented in computer science and technology related fields despite their significant contributions. The lack of diversity in technology related fields is problematic as it can result in the perpetuation of negative stereotypes and closed-minded, unchecked biases. As technology tools become integral to our daily lives it is essential that a diverse group of people contribute to the sociocultural environments where we participate and live. This dissertation is a phenomenological, interview-based, study designed to investigate the lived experience of women in undergraduate computer science and engineering programs. The purpose of this study was to better understand the factors that might encourage or discourage the participation women in the major and in the field. In order to grow the number of women in technical fields it is important to first understand what attracts them to the field and what supports they find helpful or not helpful. This study illuminated some recommendations that might guide the work of practitioners in secondary schools as well as higher education. Among other things, participants appreciated being challenged by the content and assignments, feeling support from faculty and peers, feeling a connection to the culture, effective encouragement to persist, and engaging interactions. All of the participants described having gone into their field to make a positive impact on society and they also all described the importance having at least one supportive female mentor. Participants described the importance of having spaces where they felt included and appreciated their professors and peers who pushed back against the historical CS-world stereotypes. While the experience of each participant was unique, and there were some very negative experiences, all six participants reported having mostly positive experience in their undergraduate programs

The Michigan Robotics Undergraduate Curriculum: Defining the Discipline of Robotics for Equity and Excellence

The Robotics Major at the University of Michigan was successfully launched in the 2022-23 academic year as an innovative step forward to better serve students, our communities, and our society. Building on our guiding principle of "Robotics with Respect" and our larger Robotics Pathways model, the Michigan Robotics Major was designed to define robotics as a true academic discipline with both equity and excellence as our highest priorities. Understanding that talent is equally distributed but opportunity is not, the Michigan Robotics Major has embraced an adaptable curriculum that is accessible through a diversity of student pathways and enables successful and sustained career-long participation in robotics, AI, and automation professions. The results after our planning efforts (2019-22) and first academic year (2022-23) have been highly encouraging: more than 100 students declared Robotics as their major, completion of the Robotics major by our first two graduates, soaring enrollments in our Robotics classes, thriving partnerships with Historically Black Colleges and Universities. This document provides our original curricular proposal for the Robotics Undergraduate Program at the University of Michigan, submitted to the Michigan Association of State Universities in April 2022 and approved in June 2022. The dissemination of our program design is in the spirit of continued growth for higher education towards realizing equity and excellence. The most recent version of this document is also available on Google Docs through this link: https://ocj.me/robotics_majorComment: 49 pages, approximately 25 figure