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.
LEARNING OUTCOMES
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.
Skills:
-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.
Credits: 6
Schedule: 07.01.2019 - 14.02.2019
Teacher in charge (valid 01.08.2020-31.07.2022): Henri Schildt
Teacher in charge (applies in this implementation): Katharina Cepa, Henri Schildt
Contact information for the course (valid 04.12.2018-21.12.2112):
Henri Schildt
Arkadia 3rd Floor
http://people.aalto.fi/#henri.schildt
Student meetings by appointment, please email.
Teaching
Assistant: Katharina Cepa
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
Content
Valid 01.08.2020-31.07.2022:
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.
Applies in this implementation:
Updated description:
The purpose of this course is to help the participants
--
understand the changes created by digitalization in the domain of
organizations, management, and strategy. After taking the course, the students
will be able to analyze how digital data flows can be used to optimize existing
operations and create new products and services. Students will work in teams to
analyze industry-level changes brought by digital technologies and develop
data-enabled service concepts and associated business models.
Updated learning outcomes:The students should
develop broad basic understanding of contemporary use of data analytics,
machine learning, and big data in creation of services and products as well as
managing processes within and across organizations. The specific learning
points are:Knowledge and theory:
·
Basic understanding
of key technologies: big data, cloud computing, Internet of Things, digital
platforms, and API ecosystems.·
Understanding
of basic software design principles, including stacks and modularity.·
Understanding
and ability to analyze “digital disruption” of industries and to create
realistic scenarios potential development paths.·
Understand how and
why digital technologies are influencing business models, networks effects, and
platforms.·
Ability to
analyze and design business models enabled by digital data.·
Understanding
the function of data scientists and business analytics in corporations and
understanding how professionals and activities are typically organized and used.·
Understanding how
companies leverage machine learning and data science to create smart
automation.·
Understand the
variance-based and relational perspectives to data and data visualization.Practical skills:
·
Basic skills in
data visualization using Tableau·
Ability to
analyze technology stacks and their strategic implications
Assessment Methods and Criteria
Valid 01.08.2020-31.07.2022:
1. Participation and contributions in the classroom (10%)
2. Group assignments, including peer evaluation (20%)
3. Individual assignments (70%)Applies in this implementation:
The details about assignments will be released
soon. Please see the schedule below for deadlines.Individual multiple choice questions on pre-readings
Max 20 points
Individual final assignment
Max 50 points
Group assignment #1—Digital disruption of temporary work agencies.
Max 20pts
Workload
Valid 01.08.2020-31.07.2022:
Lectures 30h
Assingments (individual work) 70h
Readings & self-study videos 30h
Group assignments 30h
Total 160h (6 ECTS)
DETAILS
Study Material
Valid 01.08.2020-31.07.2022:
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)Articles
Case studies
Podcasts
Applies in this implementation:
See online for course readings.
FURTHER INFORMATION
Details on the schedule
Applies in this implementation:
#1
7.1.2019
Digital strategy and data-driven
business#2
10.1.2019
Organizing with data / the data
imperative#3
14.1.2019
Software technologies and business
ecosystemsGuest lecture, Otto Söderlund, CEO
Speech Grinder#4
17.1.2019
Digital platforms and platform
strategies#5
21.1.2019
Re-inventing business models and
customer valueVierailijaluento: Heikki Koivula Director at Asiakastieto
#6
24.1.2019
Using data to facilitate
collaboration#7
28.1.2019
New strategic logics
#8
31.1.2019
Digital transformation as
organizational changeVierailijaluento:
Outi Herkepeus#9
4.2.2019
Ethics of data-driven businesses
#10
7.2.2019
Group presentations
- Teacher: Cepa Katharina
- Teacher: Schildt Henri