A new MSc curriculum in computer science and mathematics at the university of Zagreb

2006 ◽  
Author(s):  
R. Manger ◽  
G. Nogo ◽  
M. Vukovic ◽  
D. Rosenzweig ◽  
B. Dalbelo-Basic
Keyword(s):  
Computer Science ◽  
And Mathematics ◽  
The University

scholarly journals A Simple Survey on Attitude of Computer Science Diploma Students towards STEM

2019 ◽  
Vol 2 (2) ◽  
pp. 76-88
Author(s):  
Azniah Ismail
Keyword(s):  
Computer Science ◽  
Descriptive Analysis ◽  
Likert Scale ◽  
Stem Fields ◽  
Response Scale ◽  
Students Attitudes ◽  
And Mathematics ◽  
Strongly Agree ◽  
The University ◽  
Diploma Program

This article reported a simple survey on diploma students’ attitudes towards science, technology, engineering, and mathematics (STEM) objectively to get an initial impression of students taking a STEM-related diploma program. The targeted respondents were diploma students pursuing computer science programs in a Malaysian public university. A quantitative approach using a quantitative survey was used in which data were systematically elicited from 16 male and 17 female students using a questionnaire containing Likert-scale items. The questionnaire consists of three constructs: attitude toward science (8 items), attitude toward technology and engineering (8 items), and attitude toward mathematics (8 items). All constructs use a 5-point Likert scale for the response scale (1 = strongly disagree to 5 = strongly agree). Descriptive analysis showed that the respondents’ attitude ranged between moderately to highly positive towards STEM with no significance different variation between genders across the STEM fields. Interestingly, they also had, generally, moderate consideration for careers in STEM fields (the average values ranged between 27.2% and 42.4%) with male respondents had very low agreements (18.7%) to consider careers related to technology and engineering fields. Such results were a bit discouraging as the respondents were all pursuing a diploma in computer science. Thus, more efforts are needed by the university to give more exposures and experiences to refine the students’ attitude during their study, to boost their confidence and interest to pursue a career suitable with their diploma certificates.

The Pransky interview: Dr Yoky Matsuoka, Vice President Technology, Nest Labs

2014 ◽  
Vol 41 (6) ◽  
pp. 481-486
Author(s):  
Joanne Pransky
Keyword(s):  
Computer Science ◽  
Mechanical Engineering ◽  
Academic Career ◽  
Industrial Robot ◽  
Vice President ◽  
Early Career ◽  
Smoke Detector ◽  
Foundation Engineering ◽  
Content Type ◽  
The University

Purpose – This article is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry engineer-turned entrepreneur regarding the evolution, commercialization and challenges of bringing a technological invention to market. Design/methodology/approach – The interviewee is Dr Yoky Matsuoka, the Vice President of Nest Labs. Matsuoka describes her career journey that led her from a semi-professional tennis player who wanted to build a robot tennis buddy, to a pioneer of neurobotics who then applied her multidisciplinary research in academia to the development of a mass-produced intelligent home automation device. Findings – Dr Matsuoka received a BS degree from the University of California, Berkeley and an MS and PhD in electrical engineering and computer science from the Massachusetts Institute of Technology (MIT). She was also a Postdoctoral Fellow in the Brain and Cognitive Sciences at MIT and in Mechanical Engineering at Harvard University. Dr Matsuoka was formerly the Torode Family Endowed Career Development Professor of Computer Science and Engineering at the University of Washington (UW), Director of the National Science Foundation Engineering Research Center for Sensorimotor Neural Engineering and Ana Loomis McCandless Professor of Robotics and Mechanical Engineering at Carnegie Mellon University. In 2010, she joined Google X as one of its three founding members. She then joined Nest as VP of Technology. Originality/value – Dr Matsuoka built advanced robotic prosthetic devices and designed complementary rehabilitation strategies that enhanced the mobility of people with manipulation disabilities. Her novel work has made significant scientific and engineering contributions in the combined fields of mechanical engineering, neuroscience, bioengineering, robotics and computer science. Dr Matsuoka was awarded a MacArthur Fellowship in which she used the Genius Award money to establish a nonprofit corporation, YokyWorks, to continue developing engineering solutions for humans with physical disabilities. Other awards include the Emerging Inventor of the Year, UW Medicine; IEEE Robotics and Automation Society Early Academic Career Award; Presidential Early Career Award for Scientists and Engineers; and numerous others. She leads the development of the learning and control technology for the Nest smoke detector and Thermostat, which has saved the USA hundreds of billions of dollars in energy expenses. Nest was sold to Google in 2013 for a record $3.2 billion dollars in cash.

THE CONNECTION MACHINE IN A UNIVERSITY ENVIRONMENT: GESAMTHOCHSCHULE WUPPERTAL

1993 ◽  
Vol 04 (01) ◽  
pp. 137-141
Author(s):  
KLAUS SCHILLING
Keyword(s):  
Parallel Computing ◽  
Computer Science ◽  
Large Scale ◽  
Early History ◽  
Short Account ◽  
University Environment ◽  
Connection Machine ◽  
The University

A short account is presented on the early history, the intentions and the development of large scale parallel computing at the University of Wuppertal. It might serve as an illustration how common activities between computational and computer science can be stimulated, in the university environment.

scholarly journals How does the grade obtained at school for English and Mathematics affect the probability of graduation at a university?

Pythagoras ◽  
2017 ◽  
Vol 38 (1) ◽  
Author(s):  
Michael Murray
Keyword(s):  
Structural Equation ◽  
Equation Model ◽  
Mathematical Literacy ◽  
Percentage Point Increase ◽  
Point Increase ◽  
Kwazulu Natal ◽  
Specific Factors ◽  
And Mathematics ◽  
The University ◽  
Better Than

Over half of all students enrolling at a particular university in KwaZulu-Natal fail to complete a degree. This article is wanting to determine to what extent the marks they obtain for English and Mathematics at school impact on their probability of graduation at this university. In addressing this problem, other student specific factors associated with their gender, race and the type of school they have attended need also to be properly accounted for. To provide answers for this study, the performance of 24 392 students enrolling at the university over the period 2004 to 2012 was followed until they graduated or dropped out from their studies. A structural equation model was fitted because it allows one to separate a direct effect from that of an indirect effect. Gender, race and school background were found to be very significant with males, Black Africans and students coming from a less privileged school background having a smaller probability associated with eventually graduating from this university. Males tend to perform better than females in Mathematics, with females performing better males in English. More importantly, however, a single percentage point increase in one’s mark for English increases the probability associated with graduating from this university far more than would be the case if their Mathematics mark were to increase by a single percentage point. In the light of these mediated results, perhaps this university should be directing their efforts more towards improving the English (rather than mathematical) literacy of students entering the university.

scholarly journals Polynomials and General Degree-Based Topological Indices of Generalized Sierpinski Networks

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Chengmei Fan ◽  
M. Mobeen Munir ◽  
Zafar Hussain ◽  
Muhammad Athar ◽  
Jia-Bao Liu
Keyword(s):  
Complex Systems ◽  
Computer Science ◽  
Topological Indices ◽  
Fractal Nature ◽  
Similar Nature ◽  
Zagreb Index ◽  
Recursive Sequences ◽  
And Mathematics

Sierpinski networks are networks of fractal nature having several applications in computer science, music, chemistry, and mathematics. These networks are commonly used in chaos, fractals, recursive sequences, and complex systems. In this article, we compute various connectivity polynomials such as M -polynomial, Zagreb polynomials, and forgotten polynomial of generalized Sierpinski networks S k n and recover some well-known degree-based topological indices from these. We also compute the most general Zagreb index known as α , β -Zagreb index and several other general indices of similar nature for this network. Our results are the natural generalizations of already available results for particular classes of such type of networks.

scholarly journals Adaptation of the Core CDIO Standards 3.0 to STEM Higher Education

2021 ◽  
Vol 30 (2) ◽  
pp. 9-21
Author(s):  
A. I. Chuchalin
Keyword(s):  
Applied Sciences ◽  
Higher Education ◽  
Engineering Education ◽  
Computer Science ◽  
High Tech ◽  
The Core ◽  
Science Technology ◽  
Postgraduate Studies ◽  
Systematic Training ◽  
And Mathematics

It is proposed to adapt the new version of the internationally recognized standards for engineering education the Core CDIO Standards 3.0 to the programs of basic higher education in the field of technology, natural and applied sciences, as well as mathematics and computer science in the context of the evolution of STEM. The adaptation of the CDIO standards to STEM higher education creates incentives and contributes to the systematic training of specialists of different professions for coordinated teamwork in the development of high-tech products, as well as in the provision of comprehensive STEM services. Optional CDIO Standards are analyzed, which can be used selectively in STEM higher education. Adaptation of the CDIO-FCDI-FFCD triad to undergraduate, graduate and postgraduate studies in the field of science, technology, engineering and mathematics is considered as a mean for improving the system of three-cycle STEM higher education.

scholarly journals Preface

2021 ◽  
Author(s):  
Attila Kertész
Keyword(s):  
Computer Graphics ◽  
Computer Science ◽  
Program Analysis ◽  
Review Process ◽  
Scientific Journal ◽  
Paper Version ◽  
Healthcare Simulation ◽  
Positive Experiences ◽  
Machine Learning Security ◽  
The University

The 12th Conference of PhD Students in Computer Science (CSCS) was organized by the Institute of Informatics of the University of Szeged (SZTE) and held in Szeged, Hungary, between June 24–26, 2020. The members of the Scientific Committee were the following representatives of the Hungarian doctoral schools in Computer Science: János Csirik (Co-Chair, SZTE), Lajos Rónyai (Co-Chair, SZTAKI, BME), Péter Baranyi (SZE), András Benczúr (ELTE), András Benczúr (SZTAKI), Hassan Charaf (BME), Tibor Csendes (SZTE), László Cser (BCE), Erzsébet Csuhaj-Varjú (ELTE), József Dombi (SZTE), István Fazekas (DE), Zoltán Fülöp (SZTE), Aurél Galántai (OE), Zoltán Gingl (SZTE), Tibor Gyimóthy (SZTE), Katalin Hangos (PE), Zoltán Horváth (ELTE), Márk Jelasity (SZTE), Zoltán Kása (Sapientia EMTE), László Kóczy (SZE), János Levendovszki (BME), Gyöngyvér Márton (Sapientia EMTE), Branko Milosavljevic (UNS), Valerie Novitzka (TUKE), László Nyúl (SZTE), Marius Otesteanu (UPT), Attila Pethő (DE), Vlado Stankovski (UNILJ), Tamás Szirányi (SZTAKI), Péter Szolgay (PPKE), János Sztrik (DE), János Tapolcai (BME), János Végh (ME), and Daniela Zaharie (UVT). The members of the Organizing Committee were: Attila Kertész, Balázs Bánhelyi, Tamás Gergely, Judit Jász, and Zoltán Kincses. There were more than 50 participants and 43 talks in several fields of computer science and its applications (11 sessions). The talks were going in sections in Graphs, Machine Learning, Security, Program Analysis, Healthcare, Simulation, Privacy, Computer Graphics I., Bugs, Computer Graphics II., and Distributed systems. The talks of the students were completed by 2 plenary talks of leading scientists: Tibor Gyimóthy (University of Szeged, Hungary), and Gábor Tardos (Alfréd Rényi Institute of Mathematics, Hungary). The open-access scientific journal Acta Cybernetica offered PhD students to publish the paper version of their presentations after a careful selection and review process. Altogether 29 manuscripts were submitted for review, out of which 22 were accepted for publication in the present special issue of Acta Cybernetica. The full program of the conference, the collection of the abstracts and furtherinformation can be found at https://www.inf.u-szeged.hu/~cscs/. On the basis of our repeated positive experiences, the conference will be organized in the future, too. According to the present plans, the next meeting will be held around the end of June 2022 in Szeged.

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