Introduction to Digital Business (5cr)
Code: 3041232-3005
General information
- Enrollment
- 02.07.2019 - 06.09.2019
- Registration for the implementation has ended.
- Timing
- 01.08.2019 - 31.12.2019
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Engineering and Business
- Campus
- Location-independent
- Teaching languages
- English
- Degree programmes
- Degree Programme in International Business
- Teachers
- Arto Manninen
- Jarmo Ahonen
- Course
- 3041232
Unfortunately, no reservations were found for the realization Introduction to Digital Business 3041232-3005. It's possible that the reservations have not yet been published or that the realization is intended to be completed independently.
Evaluation scale
H-5
Content scheduling
CRM and Business models will form the main frame of the course. CRM being the marketing entity and business models - as it says - the "big picture".
PRELIMINARY Timing from sept 12th to mid dec.
Objective
Having completed the course, the student is able to
- define basic terms
- describe most common business models
- apply simple business model analysis
Content
- basic characteristics of digital business
- the most common tools and model used in digital business
- basic methods for business model analysis
Location and time
1.9. -31.12.2018
Materials
Will be given in Optima
Teaching methods
Briefings, Lecture, Written material, Teacher/student interaction (Q&A´ sessions) and individual work
Exam schedules
No exam.
Pedagogic approaches and sustainable development
Briefings and lecture(s). Joint sessions and interaction, individual work.
Completion alternatives
No alternatives.
Student workload
Participation of lecture (video), participation of briefings and joint discussions, Individual project work 133 hrs.
Evaluation methods and criteria
Individual Project work (essay + video summary).
Failed (0)
No Project work delivered.
Assessment criteria, satisfactory (1-2)
Poor language, structure, style, and content of returned Project work
Assessment criteria, good (3-4)
Good language, structure, style, and content of returned Project work..
Assessment criteria, excellent (5)
Excellent language, structure, style, and content of returned Project work..
Further information
The participants are expected to work individually. The amount of lectures or supervision is limited.