This book presents and discusses the state of the art and future trends in software engineering education, with a focus on agile methods and their budgetary implications. It introduces new and innovative methods, models and frameworks to focus the training towards the industry’s requirements. The range of topics covered includes education models for software engineering, development of the software engineering discipline, innovation and evaluation of software engineering education, curricula for software engineering education, requirements and cultivation of outstanding software engineers for the future and cooperation models for industry and software engineering education.
Arvustused
Reform and Practice of Laboratory Course for Compiler Principle in
HIT.- A Philosophical Comparison of Chinese and European Models of Computer
Science Education.- Study of Progressive Training Plan on Software
Engineering Talents.- Agile Software Development in Business Informatics:
Using Agile Methods for Teaching Purposes at the University of Applied
Sciences, Zwickau.- International Program Strategy for Software Engineering
Skills Development in Software College at NEU.- Outstanding Engineer
Education Plan for School of Information and Software Engineering at
UESTC.- The Construction for Quality Assurance System (QAS) of Training
Professional Master of Engineering of University of Electronic Science and
Technology of China.- Exploration and Achievements of Students' Vocational
Education of Software Engineering Major.- Joint UB-HIT Master - A Survey of
Graduate Students.- Enhancing Computing Student Employability Skills Through
PartnershipWorking in STEM Outreach.- Review of a Problems -First Approach to
First Year Undergraduate Programming.- The Lab-Internship Alternative.- An
Exploration of MOOC+SPOCs Teaching Mode.- Documentation during system
development: Maturity levels for decision-making.- A study on the Education
Quality Assurance System for Master of Software Engineering.- Towards a
Better Object-oriented Software Development Education Using the DCI Software
Architecture.- Principled Flipped Learning Paradigm for Laboratory Courses in
Software Engineering.
Stephan Kassel studied Computer Science at the University of Kaiserslautern, Germany; research assistant and teaching activities at the European Business School and Chemnitz University of Technology; professional experience at Intershop Communications AG Jena, Germany; since 2003 professor for Software Engineering at Zwickau University of Applied Sciences. Research interests: software development, applications of (distributed) artificial intelligence, electronic business, information management, data organization, data management, knowledge management. Dr. Bing Wu is a Professor of Computing at the Dublin Institute of Technology, Ireland. He received his PhD from the University Of Manchester Institute Of Technology (1996). His research and publications are mainly in the areas of computerized information management, knowledge discovery and education, including knowledge representation and management, system engineering and re-engineering and application of advanced computing techniques to real-world systems, such as healthcare informatics and bio-informatics as well as industry-oriented software education.
