Software Engineering Education Going Agile

1. Front Matter

   Pages i-xiii

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2. Reform and Practice of Laboratory Course for Compiler Principle in HIT

   • Yin Chen, Yong Guo, Lin Yao, Dong Li, Shengchun Deng

   Pages 1-7

3. A Philosophical Comparison of Chinese and European Models of Computer Science Education. (A Discussion Paper)

   • C. C. H. Rosen

   Pages 9-14

4. Study of Progressive Training Plan on Software Engineering Talents

   • Zhang Yi, Wen Jun-hao, Liu Ling, Xiong Qing-yu, Gao Min

   Pages 15-20

5. Agile Software Development in Business Informatics: Using Agile Methods for Teaching Purposes at the University of Applied Sciences, Zwickau

   • Manja Görner, Stephan Kassel, Thomas Klein

   Pages 21-27

6. International Program Strategy for Software Engineering Skills Development in Software College at NEU

   • Dongming Chen, Ruiyun Yu, Nan Yin, Zhiliang Zhu

   Pages 29-36

7. Outstanding Engineer Education Plan for School of Information and Software Engineering at UESTC

   • Ting Zhong, Zhiguang Qin

   Pages 37-44

8. The Construction for Quality Assurance System (QAS) of Training Professional Master of Engineering of University of Electronic Science and Technology of China

   • Xie Juan Wang Ye

   Pages 45-51

9. Exploration and Achievements of Students’ Vocational Education of Software Engineering Major

   • Yan Zhao Zhang, Lei Hong

   Pages 53-59

10. Joint UB-HIT Master: A Survey of Graduate Students

    • Yan Wang, David Chen

    Pages 61-66

11. Enhancing Computing Student Employability Skills Through Partnership Working in STEM Outreach

    • Scott Turner

    Pages 67-71

12. Review of a Problems-First Approach to First Year Undergraduate Programming

    • Gary J. Hill

    Pages 73-80

13. The Lab Internship Alternative

    • Gianmario Motta, Kaixu Liu, Tainy Ma, Linlin You

    Pages 81-90

14. An Exploration of MOOC + SPOCs Teaching Mode

    • Dechen Zhan, Chengjie Sun, Xiaofei Xu

    Pages 91-98

15. Documentation During System Development: Maturity Levels for Decision-Making

    • Alexander Rauh, Wolfgang Golubski, André Pflüger, Chris Rupp

    Pages 99-103

16. A Study on the Education Quality Assurance System for Master of Software Engineering

    • Kaikun Dong, Dianhui Chu

    Pages 105-112

17. Towards a Better Object-Oriented Software Development Education Using the DCI Software Architecture

    • Sofia Meacham, Keith Phalp, Frank Grimm

    Pages 113-121

18. Principled Flipped Learning Paradigm for Laboratory Courses in Software Engineering

    • Tonghua Su, Shengchun Deng, Xiaofei Xu, Dong Li, Zhiying Tu

    Pages 123-128

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.       

• interdisciplinary education
• CEISEE
• skills development
• vocational education
• maturity levels
• education quality assurance
• China-Europe software engineering
• flipped learning

               

• Westsächsische Hochschule Zwickau, University of Applied Sciences, Zwickau, Germany

  Stephan Kassel

• Dublin Institute of Technology, Dublin, Ireland

  Bing Wu

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.   

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