Multi-disciplinary Pathways to Computing:A Scalable and Col aborative Approach to Capitalize on the Demand for Computer Science Education

The number of students demanding computer science(CS)education is rapidly rising,and while faculty sizes are also growing,the traditional pipeline consisting of a CS major,a CS master’s,and then a move to industry or a Ph.D.program is simply not scalable.To address this problem,the Department of Computing at the University of Illinois has introduced a multidisciplinary approach to computing,which is a scalable and collaborative approach to capitalize on the tremendous demand for computer science education.The key component of the approach is the blended major,also referred to as“CS+X”,where CS denotes computer science and X denotes a non-computing field.These CS+X blended degrees enable win-win partnerships among multiple subject areas,distributing the educational responsibilities while growing the entire university.To meet the demand from non-CS majors,another pathway that is offered is a graduate certificate program in addition to the traditional minor program.To accommodate the large number of students,scalable teaching tools,such as automatic graders,have also been developed.

Panel Discussion on“Development Trends of Computer Science in the New Era”

At the panel session of the 3rd Global Forum on the Development of Computer Science,attendees had an opportunity to deliberate recent issues affecting computer science departments as a result of the recent growth in the field.6 heads of university computer science departments participated in the discussions,including the moderator,Professor Andrew Yao.The first issue was how universities are managing the growing number of applicants in addition to swelling class sizes.Several approaches were suggested,including increasing faculty hiring,implementing scalable teaching tools,and working closer with other departments through degree programs that integrate computer science with other fields.The second issue was about the position and role of computer science within broader science.Participants generally agreed that all fields are increasingly relying on computer science techniques,and that effectively disseminating these techniques to others is a key to unlocking broader scientific progress.

A Review of the Status and Development Strategies of Computer Science and Technology Under the Background of Big Data

This article discusses the current status and development strategies of computer science and technology in the context of big data.Firstly,it explains the relationship between big data and computer science and technology,focusing on analyzing the current application status of computer science and technology in big data,including data storage,data processing,and data analysis.Then,it proposes development strategies for big data processing.Computer science and technology play a vital role in big data processing by providing strong technical support.

Reform and Practice of the Course“Introduction to Computer Science”in Universities Based on the Cultivation of Computational Thinking and Systematic Abilities

Introduction to Computer Science,as one of the fundamental courses in computer-related majors,plays an important role in the cultivation of computer professionals.However,traditional teaching models and content can no longer fully meet the needs of modern information technology development.In response to these issues,this article introduces the concept of computational creative thinking,optimizes course content,adopts exploratory teaching methods,and innovates course assessment methods,aiming to comprehensively enhance students’computational thinking and innovative abilities.By continuously improving and promoting this teaching model,it will undoubtedly promote computer education in universities to a new level.

Differences between journal and conference in computer science:a bibliometric view based on Bayesian network

Purpose:This paper aims to investigate the differences between conference papers and journal papers in the field of computer science based on Bayesian network.Design/methodology/approach:This paper investigated the differences between conference papers and journal papers in the field of computer science based on Bayesian network,a knowledge-representative framework that can model relationships among all variables in the network.We defined the variables required for Bayesian networks modeling,calculated the values of each variable based Aminer dataset(a literature data set in the field of computer science),learned the Bayesian network and derived some findings based on network inference.Findings:The study found that conferences are more attractive to senior scholars,the academic impact of conference papers is slightly higher than journal papers,and it is uncertain whether conference papers are more innovative than journal papers.Research limitations:The study was limited to the field of computer science and employed Aminer dataset as the sample.Further studies involving more diverse datasets and different fields could provide a more complete picture of the matter.Practical implications:By demonstrating that Bayesian networks can effectively analyze issues in Scientometrics,the study offers valuable insights that may enhance researchers’understanding of the differences between journal and conference in computer science.Originality/value:Academic conferences play a crucial role in facilitating scholarly exchange and knowledge dissemination within the field of computer science.Several studies have been conducted to examine the distinctions between conference papers and journal papers in terms of various factors,such as authors,citations,h-index and others.Those studies were carried out from different(independent)perspectives,lacking a systematic examination of the connections and interactions between multiple perspectives.This paper supplements this deficiency based on Bayesian network modeling.

Computer Science at University 2.0: What the Future Holds and How We Can Shape It

Alongside the development of computer science,many fields like engineering,finance and the natural sciences increasingly leverage computer science techniques to facilitate their own evolution.As a result,students now need to have a good grasp of computer science skills in order to keep pace with the new forms of working in these other fields.Therefore,higher education need to change to support this transformation.Computer Science 2.0 refers to this new way of educating that facilitates these interdisciplinary connections.This creates exciting opportunities for students and staff to interact across disciplines in teaching,research,and transfer to create the so-called University 2.0.

Panel Discussion on“ The Role of Computer Science in University Development Strategy”

At the end of the keynotes during the second Global Forum of Development of Computer Science,a panel discussion was held to encourage further discussion on ways for universities to adapt to the rapidly changing computer science field.Five deans of top computer science departments participated,including the moderator.The discussions were guided along three topics,namely the role of computer science departments in universities today,the nature of computer science as a fundamental discipline or an applied one,and computer science education.Out of these topics,the panelists mainly focused on the interdisciplinary nature of computer science in teaching,research,and industry.The panelists agreed about ways to prepare for the interdisciplinary future,for example by establishing new research centers,introducing projectbased curricula,and collaborating with industry while keeping the campus vibrant.They also pointed out that universities may be under equipped for preparing future professionals to keep up with rapid new advances,especially in machine learning and artificial intelligence.

Challenges and Opportunities in Computer Science Executive Education

Carrying out executive education in computer science(CS)brings both opportunities and challenges.The major advantages are that it helps research programs with funding,data and reallife cases,and both professors and students can benefit from it by having greater engagement with industry.However,the main challenge is that most CS professors and doctoral students are currently not interested in executive education because they are more interested in their academic work.This paper first introduces the background of the Singapore government’s initiative for lifelong education for public,then presents the response from the National University of Singapore(NUS)that ultimately led to several executive education programs.Particular attention is given to the experience of the NUS School of Computing in carrying out computer science executive education.

CAIE中Computer Science考试对信息技术纳入高考的启示

介绍和分析CAIE英式课程考试中Computer Science学科的课程内容、考试制度、试题模式,借鉴其成功经验与考试制度,以期借他山之石对我国信息技术课程纳入高考选考的相关研究提供助力。

Recent Development of Computer Science Education in USA

Computer science(CS)is a discipline to study the scientific and practical approach to computation and its applications.As we enter into the Internet era,computers and the Internet have become intimate parts of our daily life.Due to its rapid development and wide applications recently,more CS graduates are needed in industries around the world.In USA,this situation is even more severe due to the rapid expansions of several big IT related companies such as Microsoft,Google,Facebook,Amazon,IBM etc.Hence,how to effectively train a large number of

Recent Development of Computer Science Education in Japan

In this special section,two introductive papers from Waseda University and the University of Aizu are selected for the introduction of recent development of computer science education in Japan.Waseda University is one of top and comprehensive private universities in Japan.The University of Aizu is a public university and the first university dedicated to computer science engineering in Japan.The University of Aizu advocates'advancement of knowledge for humanity'and carries out significant research in computer science.

Large-scale data archiving: At the interface of archive science and computer science

Both computer science and archival science are concerned with archiving large-scale data,but they have different focuses.Large-scale data archiving in computer science focuses on technical aspects that can reduce the cost of data storage and improve the reliability and efficiency of Big Data management.Its weaknesses lie in inadequate and non-standardized management.Archiving in archival science focuses on the management aspects and neglects the necessary technical considerations,resulting in high storage and retention costs and poor ability to manage Big Data.Therefore,the integration of large-scale data archiving and archival theory can balance the existing research limitations of the two fields and propose two research topics for related research-archival management of Big Data and large-scale management of archived Big Data.

Identification of potential interdisciplinary cooperative topics based on co-word network:Taking LIS and computer science as an example

[Purpose/significance]Interdisciplinary knowledge fusion plays a key role in promoting the development of interdisciplinary integration and providing new ideas for interdisciplinary cooperative research.This study sets out to identify potential interdisciplinary cooperative topics between Library and Information Science(LIS)and Computer Science.[Method/Process]We built an interdisciplinary co-word network to identify potential interdisciplinary cooperative topics by closed and opened irrelevant knowledge discovery methods.We also constructed the topic interdisciplinary cooperation potential index(TICPI)to calculate the interdisciplinary cooperation potential of the topic and found the best contact path of the cooperation topic by constructing the practicable value(PV)of the contact patch.[Result/Conclusion]The experimental data suggested that both methods can identify the same potential interdisciplinary cooperative topics,such as knowledge service&matrix decomposition,online comments&social media processing,academic text&generative adversarial network,network public opinion&smart home.Exploiting the cooperation potential of these topics can help the knowledge fusion between disciplines.

DEAN OF THE SCHOOL OF COMPUTER SCIENCE FUDAN UNIVERSITY,SHANGHAI,CHINA

Founded in 1905, Fudan University is one of the top five universities in China with over 26,000 undergraduate and graduate students, and over 3,600 international students earning more than 300 degrees through 28 schools and departments. In its quest to become recognized as a world-class research university, Fudan has invested heavily on modern educational and research environments.

The evolving profile and role of computer science

Technological innovation ushered in the computer era, and, after a few years of tutelage by established disciplines, computer science emerged as an independent discipline. In the subsequent decades computer science developed its special identity, sharing the dual character of engineering and mathematics. This evolution is revisited here based on my personal experience. In my view, the notion of computational model has been the enabler of extraordinary creativity, and at the same time the source of critical reflection two decades ago. However, capitalizing on a vibrant technology, computer science is reinventing itself as the indispensable enabler of applications. This is a crucial profile that calls for a pedagogical adaptation, where the notion of model morphs from means to end.