these processes relate, specifically, to a software venture. This paperpresents the overall instructional plan of the course and discusses each of the course’scomponents. The implementation of the project component is discussed, in particular, in detail.The design and implementation challenges that were encountered are discussed.This course was run in Spring of 2020 and started as an in-classroom course, later transitioningto an online course due to the COVID-19 pandemic. The outcomes of the course are discussed.Possible future enhancements are considered.1. IntroductionSoftware businesses have been responsible for tremendous growth and changes in society. Oncesmall startups, names like Google, Microsoft, PayPal and Facebook now are among the
secure information technology (IT) systems, with responsibility for aspects of Software development system and/or network development Systems architecture Technology R&D Systems requirements planning Test and evaluation Systems development Operate and Maintain Provides the support, administration, and Data administration maintenance necessary to ensure effective Knowledge
Education, 2021 Continuous Improvement in Academic Computing Programs is Rarely ComprehensiveAbstractRapid advancements in computing require academic computing departments to continuallyimprove. According to the literature, many of those departments claim to have institutedcomprehensive Continuous Improvement (CI) plans by building their own or using externallydeveloped tools to handle the process. This paper provides an exhaustive examination of the“comprehensiveness” of those comprehensive CI plans in the current literature and whether allcomponents of CI (360-CI) are addressed. We identify eight unique CI components, but we donot find any documentation of implementing all of them in a single program. The
Swarms with Distributed Swarm Control 3. Enhancing Security of Cloud-Connected UAS ServicesStudents were placed onto teams based on their prior course experiences and the projectrequirements. Common resources were provided for all students to train them in conductingresearch. Teams were then tasked with developing a more comprehensive research plan for theirspecific project and carrying out that plan throughout the 2020-2021 academic year.Students completed a pre-survey at the start of the project and a mid-project survey shortly afterthe winter break. The surveys combined project specific skills questions as well as relevantquestions from the Undergraduate Research Student Self-Assessment (URSSA), an NSF-fundedassessment tool to measure
-week on-campus experience. In the successof the first year, expansion, to include a satellite campus, was planned for year two. This wasnever realized due to COVID-19.The summer 2020 delivery and curriculum was redesigned two short months before delivery.The decision was made to offer a much abbreviated online version of the camp, whilemaintaining the maximum capacity. Through a partnership with cyber.org, curriculum wasselected and a virtual capture-the-flag was offered. The capture-the-flag competition served topromote participation in the recruitment activities. Through the use of pre and post tests, datawas collected as to familiarity with the university, the Department of Computer Science degreeofferings, job opportunities in the field
experience with online courses. We weresomewhat prepared when there was a need to move F2F courses to online courses as thepandemic started in early 2020.In spring 2020, fall 2020 and spring 2021, all undergraduate F2F courses in our department weremoved online to reduce the potential spread of COVID-19 infections. For DE students, thechanges in course delivery were relatively small. For many F2F students, taking all coursesonline was neither expected nor planned when they came to this college. Both F2F and DEstudents were also facing additional challenges and stressors, physically, mentally, andfinancially. It is important to find a way to make the online transition as seamless as possible.3. STRATEGIES OF MOVING COURSES ONLINEIn the classes I
to grow 41% inthe U.S., and 89% worldwide to effectively defend organizations’ critical assets. DespiteCOVID-19 and economic pressures, organizations’ plans to increase cybersecurity staffing overthe next 12 months remain consistent with previous years [10]. The (ISC)2 report also indicatesthat 49% of their survey respondents expect their organizations to hire more cybersecurityprofessionals within the next year [10]. Despite a huge demand for cyber security personnel theindustry is facing great challenges to hire sufficient, qualified security personnel and retain them.The global cybersecurity skill gap in 2020 is about 3.1 million [10]. Due to this cybersecuritystaff shortage 69% of the ISACA (Information Systems Audit and Control
exposing students to Python. Through theexisting researcher-practitioner partnerships (RPPs), we have been providing CT professionaldevelopment for the teachers based on block programming. Furthermore, we developed andpresented the new materials in two online PDs as a short and a more detailed one in Spring andSummer of 2020 to help the teachers with planning for the 20-21 school year. Moreover, westudied how such PD would impact the teachers.Our prior study of the middle school ecosystem revealed that teachers’ needs should always bethe focal point of PDs, as there are many unmet needs for CS/CT in K-12. Our first challenge wasto provide a holistic view of programming in Python while reassuring the teachers that they areable to learn the language
software applications. MSTest is an open-source testframework with the Visual Studio IDE. MSTest provides a set of commands with a lot of optionsto customize the tests running at various NET applications. © American Society for Engineering Education, 2021 2021 ASEE Annual ConferenceIn order to reach the previously-stated design goal, several critical properties of the system aredefined below, e.g., reliability & robustness, authentication, correctness, and identity.Reliability and Robustness: Using UML and object-oriented concepts to plan and design theemployee and vendor management system resulted in a more reliable and robust system.Authentication: A very naïve and basic form of
meetsoftware engineering requirements. Rogers suggested several frameworks for guiding learnersthrough reflection. One of these frameworks uses a set of structured questions about a particularexperience, and is the one we use in our study. The work of Schon, Dewey, Moon, and Rogersform our theoretical foundation and we used their ideas as a lens to interpret student reflections.Prior WorkVandegrift et. al. [11] describe an instrument used with an introductory Computer Science coursewith five programming assignments. After the second and third programming assignments theyprompt students to “Write down at least one SPECIFIC plan that you can implement to improveyour software development process”. They found that a majority of students could recognize
used in the course are discussed. Finally, plans forfuture offerings of this course are reviewed.1. IntroductionThis paper presents the efforts undertaken to develop and the implementation of a flexiblelearning defensive security course. The course covers the CompTIA Security+ requirements andis based on the HyFlex delivery model which was originally developed at San Francisco StateUniversity.This paper discusses how a limited-flexibility model was transformed due to the COVID-19pandemic into a highly flexible delivery model. Specifically, the course went beyond simplyhaving lecture and laboratory components to offering a HyFlex Options Menu where studentsselect between several options for each area of the class. Students were offered the
mentors are now required to create a SMART (Specific, Measurable,Achievable, Relevant, Time-bound) goal [15] for each mentee and develop a plan to implementthat goal in the academic year. The SMART goal and plan should be completed by the end ofOctober. Project PIs now meet with mentors to discuss the goals for their mentees to make sure itis reasonable. In addition, we survey mentors monthly to document their activities and meet withmentors once a month to gather feedback, identify potential problems, and share successfulstories or tips. Based on the monthly report from peer mentors during the 2020-2021 academicyear, we have observed positive changes between mentors and mentees.4.2 Research ExperienceUndergraduate research is one of the thirteen
have completecontrol over design implementation once requirements have been fully articulated. Prior analysis[5] indicates that RAD focuses on “incremental prototyping” of user-centric design that can bequickly released by small, yet diverse teams of developers, data architects, and solutionsdesigners, among others. Originated by James Martin in the early 1990s, RAD consists of“requirements planning, user design, construction, and cutover” [6]. This methodology isimplemented in LCNC platforms like Infinite Blue Platform, Mendix, and Salesforce. The low-code market is quickly growing; in 2017, Rymer [7] forecast the low-code developmentindustry’s market value to be over $21 billion by 2022, a 658% increase since 2016.LCNC offerings are hosted
the pandemic.Given current events and the potential of this project, it is easy to observe many applications forthis adaptable technology.8- References1- Buchla, D. M., & Floyd, T. L. DC/AC Fundamentals. Up Saddle River, NJ: Pearson, 2013.2- Mazidi, J. G., Mazidi, M. A., & McKinlay, R. D. The 8051 microcontroller and embeddedsystems: Using Assembly and C (2nd ed., Vol. 1). Prentice Hall, 2006.3- Herrick, M. Planning and maintaining hospital air isolation rooms, hfmmagazine.com, 2017.4- Falke, Rob. 'Doc’., Use the Air Changes Calculation to Determine Room CFMhttps://www.contractingbusiness.com/service/article/20868246/, 20165-“Airborne Infection Isolation Rooms.” Centers for Disease Control and Prevention, CDC,2020.6-Airborne infection
more on the statistical and mathematical offerings while others on the computerand programming offerings. The goal of this research study is to evaluate associate and undergraduate data scienceprograms in the U.S. to identify similarities in course offerings and program structure among thecolleges examined. The research questions answered as a result of this study are: • RQ1: What are the characteristics of Data Science programs? • RQ2: What are the common core courses and competencies of data science associate and undergraduate programs?2.0 Literature Review2.1 Undergraduate Data Science Programs Several studies have focused on undergraduate data science programs and have maderecommendations regarding curriculum plans
) early accessto research in the field, (ii) active learning in the classroom to conduct scientific thinking withtheir peers, and (iii) participating in learning communities [6] / study groups to benefit from peerlearning and community building.Lichtenstein et al. [7] found that when students find the learning environment to be academicallysupportive and encouraging, they are more likely to respond with a stronger commitment to theiracademic pursuit and degree completion. Wilson et al. [8] include “academic advising,interventions, and individualized development plans” from faculty advisors as one of the keyfactors that helps students in STEM fields build confidence and stay in the major. Cromley etal. [9] discuss similar themes in their work on
personalized attention. Figure 1: Weekly plan of the CS1 flipped course Figure 1 shows the weekly plan of the class. Before students come to the weekly class sessionon Monday, they were expected to have watched all the weekly assigned lecture content and com-plete a quiz that tests the students on the content they learned. To take advantage of the benefits ofactive learning, students then worked on in-class programming activities enabling them to utilizethe availability of the instructor, teaching assistants, and peers to understand the concepts. Afterthe class, they were assigned a homework assignment, which was due on Friday. Students wererequired to attend class once a week on Mondays, every week of the semester. Overall
containing information about the victims (age, race, sec), date and time of the crime, etc.;motor vehicle collisions; Housing Preservation and Development (HPD) data set on buildings,units, and projects that began after January 1, 2014 and are counted towards the Housing NewYork plan; New York Air Quality data set; etc.After the completion of the project, the students wrote a report describing what they learned,what conclusions can be made based on this data. Student enthusiastically discussed theirfindings, and the semester concluded in a lively and productive discussion about the importanceof data analysis for the understanding of the city day-to-day life, problems. At the same time, thestudents learned about the importance of the broad and, at
/ in-class assignment and add a “gallery walk”allowing the students to see those solutions created by other teams.Future Work and Next StepsThis research is the preliminary stages with activities being piloted in the Fall 2020 semester.Next the author will be applying for an IRB, so the author can conduct preliminary researchduring the Fall 2021 term including gather student survey information, grades, course evaluationcomments, etc. The author plans to continue this research each fall for the next 5 years. Usingthis information gather, the authors will attempt to gain insight into the helpfulness of theseactivities grade-wise instead of only anecdotal.Available ResourcesAn information repository (i.e., “card”) is available on the Engineering
feedbackfrom students, we attribute this to the effect of COVID-19 measures, whereabout half of the students were not able to attend the classroom, and com-plete hands-on activities. However, overall student approval rates show de-sign projects overall increased overall student agreement, with regular bellcurve peaking around 8/10 (30% approval) which was well received. More-over, about 12% students were completely satisfied with the course (10/10).2021 semester, with expected fully in-class experiences after COVID-19 mea-sures are released after herd immunity is reached. We plan to follow-up ourresults after Spring 2021 and Fall 2021 semester data have been collected,with a comparison of the affects of online learning modalities, and will po
Attack no regulation for the implementation and creation of Vulnerabilities: Researchers have shown that IoT devices, these security and privacy breaches are IoT devices are extremely unguarded against inevitable[18], [19]. Minimizing these security malware attacks [13]–[15]. If they do not get breaches begins with education. Thus, it becomes an security updates frequently, IoTs can quickly important mission for the educational institutions to turn into infected zombie machines. Note that have a well-structured plan to prepare their students, - most of these devices
-Dusseau. Operating Systems: Three Easy Pieces. Arpaci-Dusseau Books, 1.00 edition, August 2018. [4] Chanyeol Yoo, Sam Lensgraf, Robert Fitch, Lee Clemon, and Ramgopal Mettu. Toward optimal fdm toolpath planning with monte carlo tree search. In Proceedings of the 2016 IEEE International Conference on Robotics and Automation (ICRA), Best Automation Paper Award, pages 4037–4043, 05 2016. doi: 10.1109/ICRA40945.2020.9196945. [5] Tyler Schlichenmeyer, Mei Wang, Carola Wenk, and J. Brown. Autofocus optimization for tracking tissue surface topography in large-area mosaicking structured illumination microscopy. Frontiers in Optics, FiO 2014, 10 2014. doi: 10.1364/FIO.2014.FM4F.3. [6] H. Kimbrell D. Tulman-T.S. Schlichenmeyer C
instructorscaffolds with dialogue as needed. As a tertiary benefit, students become familiar with the pair-programming paradigm used in industry. The worksheet problems are a single arc where studentsconstruct a solution/algorithm (computational thinking [20]), rather than work backward from anexisting solution. The pairs are randomly assigned each day. Pairs are chosen carefully by theinstructor to avoid towers of knowledge [41] and ensure zone of proximal development [42]–[44]. The worksheets are graded and worth 25% of an overall grade. Adjusting the plan for theday based on JiTT was a time intensive process that significantly increased prep time for theinstructor by one to two hours before each lecture, in addition to the large one-time cost