78,584 research outputs found

    Preparing millennials as digital citizens and socially and environmentally responsible business professionals in a socially irresponsible climate

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    As of 2015, a millennial born in the 1990's became the largest population in the workplace and are still growing. Studies indicate that a millennial is tech savvy but lag in the exercise of digital responsibility. In addition, they are passive towards environmental sustainability and fail to grasp the importance of social responsibility. This paper provides a review of such findings relating to business communications educators in their classrooms. The literature should enable the development of a millennial as an excellent global citizen through business communications curricula that emphasizes digital citizenship, environmental sustainability and social responsibility. The impetus for this work is to provide guidance in the development of courses and teaching strategies customized to the development of each millennial as a digital, environmental and socially responsible global citizen

    Curriculum Guidelines for Undergraduate Programs in Data Science

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    The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in Data Science. The group consisted of 25 undergraduate faculty from a variety of institutions in the U.S., primarily from the disciplines of mathematics, statistics and computer science. These guidelines are meant to provide some structure for institutions planning for or revising a major in Data Science

    Teaching Security Defense Through Web-Based Hacking at the Undergraduate Level

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    The attack surface for hackers and attackers is growing every day. Future cybersecurity professionals must have the knowledge and the skills to defend against these cyber attacks. Learning defensive techniques and tools can help defend against todayā€™s attacks but what about tomorrow\u27s? As the types of attacks change so must the cybersecurity professional. The only way for the cybersecurity professional to achieve this nimbleness is to understand the structural anatomy of the various attack types. Understanding the threat environment is the key to future success. Security defense through offensive techniques should and can be taught at the undergraduate level. Using the OWASP Mutillidae project [5], students can have a self-contained, sandbox environment for dissecting and discussing cyber attacks

    Security and computer forensics in web engineering education

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    The integration of security and forensics into Web Engineering curricula is imperative! Poor security in web-based applications is continuing to cost organizations millions and the losses are still increasing annually. Security is frequently taught as a stand-alone course, assuming that security can be 'bolted on' to a web application at some point. Security issues must be integrated into Web Engineering processes right from the beginning to create secure solutions and therefore security should be an integral part of a Web Engineering curriculum. One aspect of Computer forensics investigates failures in security. Hence, students should be aware of the issues in forensics and how to respond when security failures occur; collecting evidence is particularly difficult for Web-based applications

    Greater data science at baccalaureate institutions

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    Donoho's JCGS (in press) paper is a spirited call to action for statisticians, who he points out are losing ground in the field of data science by refusing to accept that data science is its own domain. (Or, at least, a domain that is becoming distinctly defined.) He calls on writings by John Tukey, Bill Cleveland, and Leo Breiman, among others, to remind us that statisticians have been dealing with data science for years, and encourages acceptance of the direction of the field while also ensuring that statistics is tightly integrated. As faculty at baccalaureate institutions (where the growth of undergraduate statistics programs has been dramatic), we are keen to ensure statistics has a place in data science and data science education. In his paper, Donoho is primarily focused on graduate education. At our undergraduate institutions, we are considering many of the same questions.Comment: in press response to Donoho paper in Journal of Computational Graphics and Statistic
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