Uusi opinto-opas (sisältäen myös opetusohjelmat) lukuvuodelle 2018-2019 sijaitsee osoitteessa https://opas.peppi.utu.fi . Tältä sivustolta löytyvät enää vanhat opinto-oppaat ja opetusohjelmat.

The new study guide (incl. teaching schedules) for academic year 2018-2019 can be found at https://studyguide.utu.fi. This site contains only previous years' guides.

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Arkistoitu opetussuunnitelma 2016–2018
Selaamasi opetussuunnitelma ei ole enää voimassa. Tarkista tiedot voimassa olevasta opetussuunnitelmasta.
DTEK1054 Advanced Course on Software Engineering 5 op
Organised by
Information and Communication Technology
Person in charge
Antero Järvi
Preceding studies
Recommended:

Learning outcomes

The course prepares the student to work in software projects that use agile and lean methods. The student will understand the importance of key agile and lean practices and how they work together to deliver real value to customers in a predictable and controllable way. The student will also contrast agile methods to plan driven ones and understand the scope and context in which these should be applied. The course emphasizes transferable skills, especially teamwork and oral and written communication.

Contents

The course focuses on agile and lean software development methods, and how they are used in today's industrial context. Other topics include software engineering practices, team work and project management in agile development context. The course uses practice-oriented learning methods. In addition to lectures, the students will participate in industry-standard coaching games and team-based exercises. Moderated discussions, a mini-seminar on agile software engineering practices and hands-on demonstrations are part of the course. The overall goal is to experience the agile approach and understand the strengths and limitations of the agile principles in practice. Students will explore deeper important issues by writing short essays on selected topics.

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
Exercise(s)
  • In English
Essay
  • In English
Seminar
  • In English
Participation in classroom work
  • In English
Project / practical work
  • In English

Evaluation

Numeric 0-5.

Belongs to following study modules

Tulevaisuuden teknologioiden laitos
2016–2017
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Tulevaisuuden teknologioiden laitos
MDP in Bioinformatics
MDP in Embedded Computing
MDP in Digital Health and Life Sciences (Tech.)
Opintokokonaisuudet