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Soft Skills for Engineering: Methodologies, social skills and course development [Kõva köide]

Edited by (University of Vigo, Department of Signal Theory and Communications, Spain), Edited by (University of Vigo, Department of Engineering Design, Spain)
  • Formaat: Hardback, 410 pages, kõrgus x laius: 234x156 mm
  • Sari: History and Management of Technology
  • Ilmumisaeg: 01-Sep-2025
  • Kirjastus: Institution of Engineering and Technology
  • ISBN-10: 1837240175
  • ISBN-13: 9781837240173
  • Formaat: Hardback, 410 pages, kõrgus x laius: 234x156 mm
  • Sari: History and Management of Technology
  • Ilmumisaeg: 01-Sep-2025
  • Kirjastus: Institution of Engineering and Technology
  • ISBN-10: 1837240175
  • ISBN-13: 9781837240173

The teaching of soft skills is crucial for preparing engineering students to succeed in their future careers. These skills encompass effective communication, teamwork, leadership, adaptability, problem-solving, and emotional intelligence. This book is a roadmap for unlocking and progressing in these highly demanded competencies.



Employers today are increasingly recognizing the significance of soft skills, and students are well aware of this crucial fact. Upon graduation, students are expected to possess a firm grasp of the technical skills directly related to their completed courses, whether at the bachelor's or master's level. However, there is another realm of skills that can profoundly impact securing initial employment and, more importantly, advancing one's professional journey.

The importance of developing soft skills thus cannot be overstated, as they have the potential to shape the future of both current and aspiring engineers. Providing training in these essential skills becomes a pivotal aspect of their overall development. This comprehensive text outlines strategies for enhancing the most sought-after skills and serves as a valuable resource for both students and lecturers, facilitating the integration of these vital competencies into traditional university programs.

Topics covered include methodological skills, such as time management and problem solving; social skills, such as teamwork and conflict management; and cognitive skills, such as analytical and critical thinking.

Chapter 1: Introduction
Part 1: Context

Chapter 2: Why soft skills?
Chapter 3: What do companies and the labor market demand? What do
Universities offer?



Part 2: Methodological skills

Chapter 4: Time Management
Chapter 5: Decision Making
Chapter 6: Problem Solving
Chapter 7: Learning Strategies
Chapter 8: Planning
Chapter 9: Digital Skills



Part 3: Social skills

Chapter 10: Teamwork
Chapter 11: Interpersonal Communication
Chapter 12: Conflict and Negotiation
Chapter 13: Intercultural understanding



Part 4: Cognitive skills

Chapter 14: Analytical thinking
Chapter 15: Creative Thinking
Chapter 16: Critical Thinking
Chapter 17: Reflective Thinking



Part 5: Soft skills in academic activity

Chapter 18: A Course Sheet for Training Soft Skills
Chapter 19: A collection of cases of use for understanding soft skills
Chapter 20: Assessing Soft Skills Development
Chapter 21: Soft skills in University classroom: best practices and lessons
learned
Chapter 22: Digital Thinking as an intensive methodology in the use of soft
skills
Chapter 23: Summary
Iñigo Cuiñas is a professor with the Department of Signal Theory and Communications, Universidade de Vigo, where he teaches courses on Remote Sensing and the Social Links of Engineering. His main research interest focuses on radio wave propagation within complex environments, environmental aspects of radio frequency systems, and innovation in education (virtual reality, design thinking, or project/challenge based learning).



Itziar Goicoechea is an associate professor in the Department of Engineering Design, Universidade de Vigo, where she teaches courses on Project Management. She has 15 years' experience in project management, working in private companies (automotive, construction, and shipping sector). Her research focuses on project management applications in various contexts, applying both predictive and agile methodologies. She received her degree and PhD in Industrial Engineering from the Universidade de Vigo, Spain, in 1996 and 2006, respectively.