Course: Managing Complex Systems and Projects

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Course title Managing Complex Systems and Projects
Course code USII/EMCS
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 10
Language of instruction English
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Belludi Suraj
  • Komárková Jitka, prof. Ing. Ph.D.
  • Fořt David, Ing.
  • Hub Miloslav, doc. Ing. Ph.D.
Course content
unspecified

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Skills training
  • Home preparation for classes - 26 hours per semester
  • Contact teaching - 14 hours per semester
  • Preparation for an exam - 50 hours per semester
  • Individual project - 60 hours per semester
Learning outcomes
This course aims to equip students with a comprehensive understanding of systems engineering and project management, emphasizing both traditional and agile methodologies. Students will learn to design, analyse, and manage complex systems, integrating advanced project management techniques to ensure successful project outcomes. The course fosters interdisciplinary collaboration, enhances problem-solving skills, and promotes the use of modern tools and techniques. By addressing human factors, sustainability, and ethical considerations, the course prepares students for professional practice in systems engineering and project management, enabling them to tackle real-world challenges effectively.

Prerequisites
unspecified

Assessment methods and criteria
Oral examination, Written examination, Student performance assessment

Recommended literature
  • Hendl, J. Big data: věda o datech - základy a aplikace. Praha: Grada Publishing, 2021. ISBN 978-80-271-3031-3.
  • Holubová, I., J. Kosek, K. Minařík a D. Novák. Big Data a NoSQL databáze. Praha: Grada, 2015. ISBN 978-80-247-5466-6.
  • Kudyba, S. Big Data, Mining and Analytics.. Auerbach, 2014.
  • Mayer-Schonberger, V. Big data: Revoluce, která mění způsob, jak žijeme, pracujeme a myslíme.. Praha: Computer Press, 2014.
  • Minell, M. Big Analytics.. Wiley, 2013.
  • Smolan, Rick. The human face of big data. Sausalito: Against All Odds Productions, 2012. ISBN 978-1-4549-0827-2.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester