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This paper examines the current state and evolution of Computer Science (CS) and Information Systems (IS) research communities for the period of 2008 to 2019 by analysing Web of Science (WoS) core collection records. In order to compare and examine research outputs, the study period was divided into two time-periods. The first period included articles published between 2008 and 2013 and the second period included articles published between 2014 and 2019. Several analyses are presented in the scope of scientometrics regarding the (a) countries (b) historical occurrence-time (c) institutions (d) author collaboration (e) study topics-keywords (f) journals. This paper provides meta-analysis in different areas. We believe that our analysis results will shed a light for each area as well as interaction and intersection between both areas. As IS discipline and researchers we need to understand these intersections and interactions as well as understanding current trends in both disciplines. [ABSTRACT FROM AUTHOR]

The paper is devoted to the topic of introducing practically oriented thesis writing in the Department of Computer and Systems Sciences of Stockholm University. The paper considers both legal and practical aspects of introducing practically oriented thesis. The material is based partly on the literature study, and partly on the experience of supervising practically oriented BS and MS thesis in the department. The research presented in this paper is of the Action Research type. The paper introduces a rough classification of practically oriented thesis, and discusses problems that need to be solved, such as proper disposition, grading, and method-related courses. [ABSTRACT FROM AUTHOR]

The relationship of the teenagers with the new technologies is very complex and it is the center of attention today for the schools. Everyone is always connected: some searches show that the teenagers under 18 spend online about ten hours every day and are connected also for 24 hours with mobile devices and thanks to free wi-fi. Pair programming is a collaboration paradigm that has been strongly adopted in particular in the computer science education. In fact, Pair Programming has demonstrated benefits for many aspects in education, but unique concerns of mobile software design raise questions about the effectiveness of Pair Programming in this evolving field. This paper probes unique challenges for Pair Programming when used in mobile software design classes, focusing on four mobile design topics: dealing with interface and data management, recording and playing audio via mobile device and App Inventor components, using sensors and collecting GPS data from mobile device, using a TinyBD component of App Inventor for storage data. The paper highlights successes and challenges for Pair Programming and mobile applications, concluding with recommendations on building assignments. [ABSTRACT FROM AUTHOR]

The vertical search engine searches in the text of specific domain. In this project, we built a pharmaceutical vertical search engine using a supervised learning classifier, Rocchio, to classify documents into two different classes; one pharmaceutical and another computer science. For learning of the classifier, small document collection is created. It is evaluated using abstracts from 86 research papers and accuracy yields 90% results. An inverted index is built containing terms from selected pharmaceutical documents. An interface is also developed to interact with the user. User can issue simple keyword like queries and documents are retrieved using TF-IDF statistics and BM25 weighting scheme. Retrieved results are ranked in descending order from the highest relevance score to lowest relevance score. New information can be classified and added to the index using search interface. The system is designed and developed using the Spiral Model and implemented in dot.net tools. The survey and interviewing techniques are also used to identify the needs and prioritizing tasks. [ABSTRACT FROM AUTHOR]

This paper presents an innovative course conceived at the Medizinische Fakultät of the Universität Duisburg-Essen on robotics and computer science. Highly motivated students have participated in this course and, as a first consequence, a research has been initiated in the field of Turing machines applied to optimization of triage systems used for disasters. Additionally, a prototype of a universal Turing machine has been built using the Lego Mindstorms EV3 robotics system. [ABSTRACT FROM AUTHOR]

This paper presents an innovative course conceived at the Medizinische Fakultät of the Universität Duisburg-Essen on robotics and computer science. Highly motivated students have participated in this course and as a first consequence, a research has been initiated in the field of Turing machines applied to optimization of triage systems used for disasters. Additionally, a prototype of a universal Turing machine has been built using the Lego Mindstorms EV3 robotics system. [ABSTRACT FROM AUTHOR]

This paper presents an innovative course conceived at the Medizinische Fakultät of the Universität Duisburg-Essen on robotics and computer science. Highly motivated students have participated in this course and, as a first consequence, a research has been initiated in the field of Turing machines applied to optimization of triage systems used for disasters. Additionally, a prototype of a universal Turing machine has been built using the Lego Mindstorms EV3 robotics system. [ABSTRACT FROM AUTHOR]

Human - computer interaction is a computers science research area that has a great impact on humans and their social interaction with other humans and machines. One aspect of human - computer interaction is the newly evolved discipline of human - robot interaction. Part of human - robot interaction are, so called, social robots and their primary task is to maintain successful interaction with humans. This paper discusses the challenges for creating such robots, especially for creating more human-like empathic robots. This research uses human sound data as source for perceiving human emotions. A biologically driven custom algorithm is used in this research for emotion evaluation classification. The proposed approach is analyzed and evaluated using experimental results done form real data. The influence of the emotion aware robots on humans is explained in more detail. Also, a discussion about the importance of sharing life with these emotion aware robots today and in the future is argued. [ABSTRACT FROM AUTHOR]