Omfattning: 6

Tidtabel: 07.01.2019 - 14.02.2019

Ansvarslärare (är i kraft 01.08.2018-31.07.2020): 

Henri Schildt

Kontaktuppgifter till kursens personal (gäller denna kursomgång): 

Henri Schildt

Henri.schildt@aalto.fi

Arkadia 3rd Floor 

http://people.aalto.fi/#henri.schildt



Student meetings by appointment, please email.

Teaching
Assistant: Katharina Cepa

Undervisningsperiod (är i kraft 01.08.2018-31.07.2020): 

Period III (2018-2019)
Period III (2019-2020)

Lärandemål (är i kraft 01.08.2018-31.07.2020): 

Knowledge and theory:
• Basic understanding of big data, cloud computing, internet of things and API ecosystems as phenomena and technologies
• 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
• Basic understanding of business model design and the business models enabled by digital data
• Understanding the function of data scientists in corporations and understanding how they are typically organized and used
• Understanding how various data sources are used to answer basic business questions through analytics
• Understand the variance-based and relational perspectives to data and data visualization

Practical skills:
• Ability to design basic the most basic data analyses to describe and improve business processes
• Ability to create simple business-relevant analyses from relational databases using Structural Query Language
• Basic understanding of application programming interfaces (APIs) and how they are used
• Basic skills in data visualization using Excel and Tableau

Innehåll (är i kraft 01.08.2018-31.07.2020): 

The course introduces the key drivers behind on-going "digitalization" and its transformative effects on industries, companies, and management practice. We examine the changes created by digital technologies through four related themes: big data and business analytics, artificial intelligence and smart automation, changing ecosystems, and digital organization & culture. These themes, together with digital marketing and delivery channels, help understand why established leaders in many industries are being "disrupted" by new agile companies.

Närmare beskrivning av kursens innehåll (gäller denna kursomgång): 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

 


Metoder, arbetssätt och bedömningsgrunder (är i kraft 01.08.2018-31.07.2020): 

1. Participation and contributions in the classroom (10%)
2. Group assignments, including peer evaluation (20%)
3. Individual assignments (70%)

Närmare information om bedömningsgrunderna och -metoderna och om hur den studerande kan ta del av bedömningen (gäller denna kursomgång): 

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 #1Digital disruption of temporary work agencies.

Max 20pts


Arbetsmängd (är i kraft 01.08.2018-31.07.2020): 

Lectures 30h
Assingments (individual work) 70h
Readings & self-study videos 30h
Group assignments 30h

Total 160h (6 ECTS)

Studiematerial (är i kraft 01.08.2018-31.07.2020): 

Online self-study module
Articles
Book chapters

Närmare information om kursmaterial (gäller denna kursomgång): 

See online for course readings.

Bedömningsskala (är i kraft 01.08.2018-31.07.2020): 

0-5

Anmälning (är i kraft 01.08.2018-31.07.2020): 

via WebOodi

Närmare information om tidtabellen (gäller denna kursomgång): 

#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
ecosystems

Guest 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 value

Vierailijaluento: 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 change

Vierailijaluento:

Outi Herkepeus

#9

4.2.2019

Ethics of data-driven businesses

#10

7.2.2019

 Group presentations


Beskrivning

Anmälning och tillläggsinformation