教学课程资源库 更多>>

关键词： Computer security..Artificial intelligence.Machine learning  

ISBN: (数字)9781119771562;9781119771555 ISBN: (纸本)9781119771531

摘要： INTELLIGENT SECURITY SYSTEMS Dramatically improve your cybersecurity using AI and machine learning In Intelligent Security Systems, distinguished professor and computer scientist Dr. Leon Reznik delivers an expert synthesis of artificial intelligence, machine learning and data science techniques, applied to computer security to assist readers in hardening their computer systems against threats. Emphasizing practical and actionable strategies that can be immediately implemented by industry professionals and computer device’s owners, the author explains how to install and harden firewalls, intrusion detection systems, attack recognition tools, and malware protection systems. He also explains how to recognize and counter common hacking activities. This book bridges the gap between cybersecurity education and new data science programs, discussing how cutting-edge artificial intelligence and machine learning techniques can work for and against cybersecurity efforts. Intelligent Security Systems includes supplementary resources on an author-hosted website, such as classroom presentation slides, sample review, test and exam questions, and practice exercises to make the material contained practical and useful. The book also offers:

• A thorough introduction to computer security, artificial intelligence, and machine learning, including basic definitions and concepts like threats, vulnerabilities, risks, attacks, protection, and tools
• An exploration of firewall design and implementation, including firewall types and models, typical designs and configurations, and their limitations and problems
• Discussions of intrusion detection systems (IDS), including architecture topologies, components, and operational ranges, classification approaches, and machine learning techniques in IDS design
• A treatment of malware and vulnerabilities detection and protection, including malware classes, history, and development trends

关键词： Embedded programming   High school computer science   Robotics   Secondary computer science   Teaching computer science  

摘要： This study sought to understand the influence of robotics on self-efficacy and interest in computer science. It provides the background that has led to the current research need. The study conducted was a double pre-test, repeated measures post-test quasi-experimental study, performed by the researcher to determine the effects of a robotics treatment on the interest and self-efficacy of introductory computer science students in secondary education in the United States. The Social Cognitive Career Theory of Lent et al. (2020) was used as the theoretical model for this study.

关键词： Clustering algorithms   Indexes   Machine learning algorithms   Complexity theory   Costs   Computer science   Task analysis   K-means   silhouette algorithm   clustering   central limit theorem   divide and conquer  

摘要： Clustering is one of the critical parts of machine learning algorithms. K-Means clustering is the standard technique that various data analysts use for clustering the data among the various clusters. Even though the K means clustering algorithm can work effectively, there is a need to tune the value of K according to the dataset under consideration. The process of tuning for the value of k requires the execution of the K-means algorithm with different values of k. The values of k with the best cluster quality based on specific metrics are selected. The elbow method and silhouette coefficient is the most popular approach for selecting the number of clusters. However, both approaches are time-consuming, as they have to execute K-means for each value of k to find a good score. This approach is iterative. This paper proposed a divide and conquer approach that performs the same task in less time. From the proposed approach, the task has been completely 2.5 times faster in comparison to the iterative method at the cost of some memory required to store the results.

摘要： For the past forty years, under-represented girls in computer science have been a worldwide issue. Research has indicated strategies and practices teachers can implement to help shape adolescent girls’ identity in computer science. These strategies include inclusive curricular practice, collaborative learning opportunities, and supportive learning environments. This study aimed to explore how a student’s computer science perception influenced their identity and how incorporating art into coding can shape their identity. Using qualitative data collection, the findings from this study were used to develop further a curriculum unit that can shift adolescent girls’ computer science identity. The following research questions were used for this study: How have the identity-based curricular interventions shifted my teaching? Over the course of the focal unit, how and to what extent do adolescent girls in the Applications (Apps) and Gaming course indicate a change in their computer science identities? This study aimed to determine if a computer science curriculum that incorporated art into coding can help develop adolescent girls’ identity in computer science. The study design incorporated an analysis of lesson plans, classroom observations, reflective open-ended questions, and teacher journals to determine an identity development in computer science for adolescent girls. The participants included five high-school aged girls from a Mid-Atlantic urban high school. Over the course of five weeks, the students participated in the study that including drawings of what a computer scientist looks like to them, open-ended reflective questions, and other various everyday classroom tasks. The drawings of the computer scientist and open-ended reflective questions were analyzed to determine a change in their computer science identity over the course of the five-week study. The findings from this study indicated a shift in identity for some participants and may also be interpreted as a

关键词： computer science   electrical engineering   hands-on   individual practice   senior students   telecommunication   undergraduate   white box testing  

摘要： Several studies have shown that the main challenge in teaching complex systems involving many theoretical backgrounds to senior students is their lack of confidence. In this paper, we present an approach to the teaching methodology of an undergraduate course in a telecommunication study program. The first goal of this methodology is to help students understand the theoretical concepts behind wireless digital communication systems through direct practice to give them more exposure to a real system through affordable practice activities in an experiential context, utilizing an HF radio and a single-board computer (SBC). The second goal is to challenge senior students to understand the data link layer by using white box testing of the syntax of the programming language embedded in the SBC. This approach is ideally carried out based on offline and hands-on class activities, however, the pandemic condition made it unavoidable to do it online using a demonstration model. Feedback from students was collected through written comments, post-testing, including a facility index analysis, and a questionnaire that was distributed using the available e-learning system. The post-test results showed that the average score was 72 out of a maximum of 100.

关键词： Bibliometrics   Databases   Computer science   Collaboration   Sustainable development   Standards   Social networking (online)   Bibliometric analysis   citation impact   collaboration structure   gender distribution   IEEE Access   thematic structure   sustainable development goals  

摘要： The IEEE Access journal started in 2013, and in a short period, it has attained recognition for being a preferred multidisciplinary journal, with characteristics of rapid and continuous publishing. It is now ranked among the top journals in Engineering and Computer Science (General) by Scopus. Recognizing the distinctive nature of the journal and its contributions in the broader area of Engineering and Computer Science, this article attempts to present a detailed bibliometric analysis of the journal to identify publishing patterns, authorship and collaboration structure, citation impact, funding patterns of the published research, and the thematic structure of the publication. The gender distribution is also computed to identify papers published by male and female authors. The social media visibility of the articles and the Sustainable Development Goals (SDG) connections of articles were also identified. The results indicate that the IA journal can attract novel, high-quality multidisciplinary research, which aligns with the relevant and the most pressing SDGs. Furthermore, the journal has experienced increased multi-authored multidisciplinary research, and it is publishing a more significant percentage of articles with female first authors.

关键词： Cryptography   Encryption   Matrix Converters   Intelligent Systems   Computer Science   Time Complexity   Smart Buildings   Encryption   Decryption   Key Management   Clique   Intelligent And Smart Building  

摘要： Because encryption is a fundamental security building block, existing encryption techniques like AES, Twofish, Blowfish, and Triple DES are constantly under the threat of being compromised. We introduce a simple graph-theoretic encryption method named CryptoCliqIn using clique injection and prove that the decryption of this encryption without the appropriate key is #P-complete. We have shown that the proposed model does not introduce delays in encryption and decryption times and provides a more secure mechanism compared to some of the existing encryption mechanisms. Finally, an adaptation of CryptoCliqIn in an intelligent system is discussed under the setup of intelligent and smart building.

摘要： Software engineering is a growing field, with ever-increasing demand for capable engineers who can design, implement, and test the software that is needed for the modern world. With this increasing demand for software engineers, there is a corresponding increase in the demand placed on computer science programs that graduate these engineers. However, the increase in undergraduate enrollment in computer science programs has generally outpaced the increase in instructors. Unfortunately, this can have negative educational impacts by reducing the support that instructors can offer each student. Automation has resulted in significant benefits, allowing developers to work more efficiently and deliver higher-quality software, but automation is not as prevalent within computer science education as it is within industry. To help promote better educational outcomes, particularly by improving the feedback that students receive on their work, I adopt software engineering automation techniques into computer science education and evaluate their efficacy. With ever more students enrolled in computer science programs comes a more widespread use of team-based learning (TBL) and larger teams. While TBL has numerous educational benefits, it is not an educational panacea. Larger teams increases the risk of team challenges, including ineffective communication and non-participation, which has the potential to hamper educational outcomes. To address this, I propose and evaluate using survey techniques to gain insights into how teams work and the challenges that students face in this environment, and enable just-in-time support for struggling teams. This approach can provide instructors with feedback on team challenges, and also encourages self-reflection on the part of students. Together, these approaches support my thesis: Using software engineering automation and survey techniques in computer science education results in improved student learning outcomes, early prediction of struggling

关键词： Elementary school  

摘要： The purpose of this study was to explore how elementary school teachers think about equity in relation to their goals in their computer science instruction, and to explore the strategies they articulated to make their practice more equitable. States are mandating computer science standards and instruction and requiring schools to teach the content (2020 State of CS). Parents want students to be taught the content, and students in affluent and predominantly white communities have greater access to computer science opportunities than their low-SES and minority counterparts (Margolis, 2020). In addition, teachers are not formally trained or prepared to teach computer science (2020 State of CS). This study adds to the limited body of research that focuses on computer science instruction at the elementary school level. The current study used documents and interviews of 20 respondents. These respondents self-identified as elementary school teachers that teach computer science in some capacity. This sample of 20 teachers included teachers across the United States, as they self-selected to participate in the study through snowball sampling. The focus of this study was to explore computer science education at the elementary school level. The study explored the two questions: 1. How do elementary CS teachers think about equity in relation to their goals for their computer science instruction? 2. What strategies do elementary computer science teachers articulate to make their practice equitable? This study found that elementary computer science teachers think about equity in two ways: opportunity and differentiation, and listed their goals as: providing access to opportunity, promoting positive identification with computer science, empowering students to use computer science for social change, as well as increasing academic achievement, and provided strategies for making their practices more equitable. This study added to the growing body of research on the topic of elementary

关键词： 科教融合   计算机组成原理   教学改革  

摘要： 科教融合旨在增强学生的科研意识和科研素养，使学生在基础知识的学习中逐步养成科研思维，培养学生发现问题、创造性解决问题的能力。计算机组成原理是计算机科学与技术专业必修的专业核心课程，课程内容丰富，基础性强，同时理论密切联系实际，具有较好的科教融合优势。基于计算机专业人才创新能力与系统能力的培养要求及当前科教融合的背景，分析了计算机组成原理课程的特点及科教融合的目标，介绍了科教融合实施措施并给出了相关案例，最后指出课程科教融合持续改进的方向。