Tanaka-Muroga Laboratory, Electrical and Electronic Engineering Course, Department of Mathematical Science and Electrical-Electronic-Computer Engineering, Graduate School of Engineering Science, Akita University

2021 ◽  
Vol 24 (7) ◽  
pp. 684-684
Author(s):  
Motoshi Tanaka
Keyword(s):  
Graduate School ◽  
Electronic Computer ◽  
Engineering Science ◽  
Mathematical Science ◽  
Computer Engineering ◽  
Electronic Engineering

scholarly journals Tsuyoshi Kimura, professor, Graduate School of Engineering Science, Osaka University, Japan

Nature ◽  
2007 ◽  
Vol 447 (7142) ◽  
pp. 350-350
Author(s):  
Magdalena Wutte
Keyword(s):  
Graduate School ◽  
Engineering Science

A Four-Year ‘Enriched’ Electronic Engineering Course

1981 ◽  
Vol 18 (1) ◽  
pp. 13-18 ◽  
Author(s):  
A. P. Dorey ◽  
R. C. Smith ◽  
B. A. Carré
Keyword(s):  
Engineering Education ◽  
Engineering Design ◽  
Basic Education ◽  
Engineering Science ◽  
Electronic Engineering

Existing three-year engineering degrees provide a sound and relevant basic education in engineering science. There is a need to strengthen the professional elements in engineering education. A new four-year degree, placing emphasis on engineering design and wider industrial studies is described. The first graduates will finish their course in 1981.

scholarly journals Student’s performance factor review: engineering science course context

2020 ◽  
Vol 1 (2) ◽  
pp. 54
Author(s):  
Rosmida Binti Ab Gahani ◽  
Najah Binti Mohd Nawi
Keyword(s):  
Student Performance ◽  
Pearson Correlation ◽  
Mean Value ◽  
T Test ◽  
Engineering Science ◽  
Mathematical Science ◽  
Test Analysis ◽  
Improve Student Performance ◽  
Student’S Performance ◽  
And Gender

A mastery in Engineering Science Course is closely related to the physics subjects in schooling which involve problem solving techniques including mathematical skills. Engineering Science Course is considered difficult and complicated that need to be understood since there are many concepts to understand, especially for students who do not take science courses in school. Mastery of a course is closely linked to academic achievement that has a great impact on student achievement. Thus, a study was conducted to identify factors that influence student’s performance in the Engineering Science Course at Politeknik Sultan Mizan Zainal Abidin (PSMZA). A total of 179 respondents from four departments; Department of Civil Engineering (JKA), Department of Electrical Engineering (JKE), Department of Mechanical Engineering (JKM) and Department of Mathematical Science & Computer (JMSK) were involved in this study. The analysis of the study was done using descriptive statistics, T-test and Pearson Correlation using Statistical Package for Social Science (SPSS) version 23. Analysis of the result shows that environment was the main driving force with the mean value of 4.31 being the highest score compared to existing knowledge factors, interests, attitudes, lecturers and peers. T-test analysis also found that there was a significant relationship between attitude and gender differences. Pearson Correlation’s analysis found that the relationship between lecturers and interests was average and significant. While peers, environment and interest were strongly related, but significant. It is hoped that the findings of this study will help to provide an overview of the factors that influence student performance in the Engineering Science Course at PSMZA. This will also help JMSK to take preventive measures and improve all aspects of its efforts to improve student performance in the Engineering Science Course at PSMZA.

Robotic Manipulation Research

Impact ◽  
2020 ◽  
Vol 2020 (2) ◽  
pp. 15-17
Author(s):  
Kensuke Harada
Keyword(s):  
Graduate School ◽  
Human Motion ◽  
Robotic Manipulation ◽  
Engineering Science ◽  
Daily Lives ◽  
Everyday Objects ◽  
Second Nature ◽  
Enormous Amount ◽  
Amount Of Knowledge ◽  
Mechanical Objects

We perform many seemingly simple tasks in our daily lives, from manipulating everyday objects to processing many thoughts, often at the same time. These are things most of us are able to manage without any great difficulties. However, the development of such skills has actually been built on an enormous amount of knowledge that has been stored unconsciously throughout our lives. These skills become second nature to us, but when it comes to trying to replicate these in mechanical objects – robots – it becomes clear that the development of these abilities is not simple at all. Professor Kensuke Harada, from the Graduate School of Engineering Science, at Osaka University, is focused on looking at the issues of motion planning, gripper design, human motion and machine learning. His ultimate goal is to realise a robot that can manipulate an object just like a human can.

Macromedia Flash-Based Animations for Teaching of the Digital Signal Processing Principles

2011 ◽  
Vol 219-220 ◽  
pp. 1518-1522
Author(s):  
Kurban Ubul ◽  
Guljamal Ubul ◽  
Alim Aysa
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Learning Experience ◽  
Digital Signal ◽  
Subject Area ◽  
Engineering Science ◽  
Computer Engineering ◽  
Job Market ◽  
Approach To Teaching ◽  
The Subject

Digital Signal Processing (DSP) is an important and growing subject area in Electrical/Computer Engineering (ECE), Computer Science and other Engineering/Science disciplines. Since 1997, the authors have taught an undergraduate DSP courses at Xinjiang University (XJU). While the subject of DSP has become very popular with ECE students and with the growing DSP job market, the subject matter is still considered to be a difficult and complex one for students. This paper presents an approach to teaching DSP basic concepts using a platform which developed by the tool, Macromedia Flash. The authors of XJU had enhanced the learning experience for their students by adding the platform to their class offering to reduce the difficulty of understanding the theoretical DSP.

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