research methods in computer science: the challenges and issues

To truly transform computing education, teachers need unhindered access to a structured programme of professional development. Augmented reality, in which virtual content is seamlessly integrated with displays of real-world scenes, is a growing area of interactive design. 1 Department of Engineering Technology, Mississippi Valley State University, USA. Brainlike computer chips, smart pharmacology and other advances offer great promise but also raise serious questions that we must deal with now But even after indulging in this field they are often confused about which topic to choose for the project or for an M.Tech thesis. The abuse, misuse, and overuse of the term "data science" is ubiquitous, contributing to the hype, and myths and pitfalls are common. Essays in a special section of this issue explore solutions to these problems with the intent of catalyzing the deep institutional change necessary to address the challenges of the modern world. There are several major closed-form challenges in Computer Science, such as the P versus NP problem , finding better algorithms for Matrix multiplication and Fourier transform , In particular, recent work in formal methods has abandoned the traditional empirical methods. This special issue aims to highlight problems and future challenges in smart cities and invite researchers working towards smart cities and associated technologies like IoMTs, machine learning for big data, and embedded/cloud computing, to develop novel methods for addressing issues related to the transmission, processing, representation, and storage of IoMT-generated big data. 3 Technology and Healthcare Solutions, Inc., USA If you are interested in pursuing a career in computer science, it’s important to stay up to date with the latest trends in computer science research, to make an informed choice about where to head next. In this paradigm, software (applications, databases, or other data), infrastructure and computing platforms are widely used as services for data storage, management and processing. Additionally, we state open research issues in big data. This is a research methodology course that focuses on developing researching and writing skills in Computer Science & Engineering Domain. Menu Search Undergraduate Program. The series Lecture Notes in Computer Science (LNCS), including its subseries Lecture Notes in Artificial Intelligence (LNAI) and Lecture Notes in Bioinformatics (LNBI), has established itself as a medium for the publication of new developments in computer science and information technology research … So, to elaborate this, the paper is divided into following sections. 1. Lidong Wang 1,, Guanghui Wang 2, Cheryl Ann Alexander 3. This paper focuses on challenges in big data and its available techniques. Cloud computing has emerged as an important computing paradigm, enabling ubiquitous convenient on-demand access through Internet to shared pool of configurable computing resources. Instructors’ issues included changing faculty roles, transitioning from face-to-face to online, time management, and teaching styles. The US system of higher science, technology, engineering, and mathematics (STEM) education and workforce training is plagued with a number of systemic problems. Successes and Continuing Challenges Alec Sithole 1, Edward T. Chiyaka2, Peter McCarthy3, Davison M. Mupinga4, Brian K. Bucklein & Joachim Kibirige5 1 Department of Computer Science, Mathematics and Physics, Missouri Western State University,St Joseph, Missouri, USA About Computing Science Research Methodology penned by Jos e Nelson Amaral with signi cant contributions from Michael Buro, Renee Elio, Jim Hoover, Ioanis Nikolaidis, Mohammad Salavatipour, Lorna Stewart, and Ken Wong Computing Science researchers use several methodologies to tackle questions within the discipline. According to its design, case studies in business research can be divided … In Issues, two analysts examine possible benefits of this emerging technology, including sustainably feeding a hungry world and countering climate change. ... universities, colleges, and K-12. One of the earliest computer programmers, Grace Hopper, has been quoted as saying, “It’s easier to ask forgiveness than it is to get permission.” That’s pretty much been the modus operandi for computing products ever since: Build it first, then fix it if there are problems. First, the LSAM empirical Check out these five trends storming the tech industry! Research Methods for Cyber Security teaches scientific methods for generating impactful knowledge, validating theories, and adding critical rigor to the cyber security field. Current Challenges and Future Research… CDFSLProceedings2016 ©2016ADFSL Page9. CURRENT CHA LLENGE S AND FUTURE RESEARCH AREAS FOR DIGITAL FORENSIC INVESTIGA TION. Similarly, research in requirements engineering and human computer interaction has challenged the proponents of formal methods. Computer science students examine issues such as privacy, censorship, and fake news in courses co-designed by philosophy professors as Harvard works to embed ethics in the curriculum, creating a national model. Ethics and computer science aren’t natural bedfellows. Research methodology ethical issues in research an assignment 1. Mathematics in Computer Science (MCS) publishes high-quality original research papers on the development of theories and methods for computer and information sciences, the design, implementation, and analysis of algorithms and software tools for mathematical computation and reasoning, and the integration of mathematics and computer science for scientific and engineering … Learn about our research initiatives in computer science, and discover our academic and industry collaboration partnerships. These tensions stem from the fact that `Computing Science' is a misnoma. Artificial intelligence and robotics The authors work to identify the challenges faced by scientists when communicating research and to encourage studying particular methods of enhancing the relationship among science, media, and the public. ... We are a research hub that seeks answers, solves problems and scales solutions. The Many Ethical Implications of Emerging Technologies. Students who find programming complex and challenging mostly go for networking field in computer science engineering. Thesis and Research Topics in Computer Networking. DISCUSS THE POSSIBLE CONSEQUENCES OF VIOLATING RESEARCH ETHICSIntroductionEthics refers to moral principles or values that generally govern the conduct of an individual orgroup. Computing services offered by cloud computing include social networking and interpersonal computing, however, the main focus is on online software applications, data storage and processing power [3]. To deal with the expected growth and challenges of teaching computer science, we argue that departments should embrace CER as a research area. PDF | As it is indicated in the title, this chapter includes the research methodology of the dissertation. They suggest that society needs to more actively consider how the nascent industry “might transform our food system, the … Department of Computer Science. This paper surveys the current state-of-the-art in augmented reality. Case studies aim to analyze specific issues within the boundaries of a specific environment, situation or organization. Intel Home. 2 State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, China. Content issues included the role of instructors in content development, integration of multimedia in content, role of instructional strategies in content development, and considerations for content development. Explore research at Microsoft, a site featuring the impact of research along with publications, products, downloads, and research careers. ... gives us a unique place in the research ecosystem to address the data challenges of our future. IDENTIFY AND EXPLAIN ANY 6 ETHICAL CONSIDERATIONS IN RESEARCH. Case studies are a popular research method in business area. Section 3 furnishes the open research issues that will help This course will explore the role of empiricism in computer science research, ... and critically review published examples of work that used each of the principle methods in computer science. Her research extends across three areas of social science research; the sociology of scientific knowledge (SSK), with its focus on how scientific knowledge is produced, shared and modified; computer supported cooperative work (CSCW), with its focus on understanding the details of day-to-day practices and collaboration; and the broader impacts of science and innovation upon wider society. With the rise of personal mobile devices capable of producing interesting augmented reality environments, the vast potential of AR has begun to be explored. Uniting industry, academia and government to advance computing research and change the world. Sections 2 deals with challenges that arise during fine tuning of big data. Our research highlighted that moving to curricula with a stronger computer science focus from curricula dominated by information communication technology to is a difficult transition to make. 2013 Vol.4 Issue 1, ISSN: 2223-4934 E and 2227-393X Print 224 Challenges in the Implementation of ICT in Public Secondary Schools in Kenya By Laaria Mingaine School of Management, Shanghai University, 99 Shangda Road, Shanghai, China, Abstract Implementation of ICT in schools in Kenya is a recent activity that has elicited a lot of interest. As the software development requires multidisciplinary approach, many of the concepts are borrowed from social science… What methods have been shown to ... education and its relationship to computer science research. Founded in 1972, CRA’s membership includes more than 200 North American organizations active in computing research: academic departments of computer science and computer engineering, laboratories and centers (industry, government, and academia), and affiliated professional societies … Big Data and Visualization: Methods, Challenges and Technology Progress. On the surface, the report is detailed and well thought out. Research Challenges and Opportunities in Conducting Quantitative Studies on Large-Scale Agile Methodology: 10.4018/JDM.2020040104: This research note suggests five research challenges when conducting quantitative studies on large-scale agile methodology (LSAM). , enabling ubiquitous convenient on-demand access through Internet to shared pool of configurable computing resources access Internet! We State open research issues in big data the boundaries of a specific environment, or... 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