Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
The course provides an in-depth understanding of digitalization and its implications for corporations. The student will gain an understanding of the key technological changes and their impact on management, organizing, and work. The course covers the impact of big data, artificial intelligence, and various mobile technologies on business models and ecosystems across retail, service, and manufacturing industries, and elaborates how these changes are reflected in strategy, organizational design, and work roles.
-Students will be able to analyze digital disruption of industries and to create realistic scenarios of potential development paths.
-Students will be able to assess and design business models that take advantage of digital data and formulate business development plans that take advantage of modular architectures and platforms.
-Students are able to scrutinize existing business processes and assess how their digitalization.
Schedule: 03.01.2018 - 07.02.2018
Teacher in charge (valid 01.08.2020-31.07.2022): Henri Schildt
Teacher in charge (applies in this implementation): Henri Schildt
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
The course introduces the key drivers behind on-going "digitalization" and its transformative effects on industries, companies, and management practice. The course examines digital transformation from the perspectives of strategy, management practice, organizational design, and work processes.
Assessment Methods and Criteria
1. Participation and contributions in the classroom (10%)
2. Group assignments, including peer evaluation (20%)
3. Individual assignments (70%)
Assingments (individual work) 70h
Readings & self-study videos 30h
Group assignments 30h
Total 160h (6 ECTS)
Course book: A course book: Schildt Henri: The Data Imperative: How Digitalization is Reshaping Management, Organizing, and Work
ISBN: 9780198840817 (https://ebookcentral.proquest.com/lib/aalto-ebooks/detail.action?docID=6372391)
- Teacher: Henri Schildt