Aviation Business Basics 2 - BUS1AB102 - Opinto-opas

Aviation Business Basics 2, 5 cr - BUS1AB102

Upcoming implementations

Aviation Business Basics 2 BUS1AB102-3011 24.03.2025-16.05.2025 5 op (AB2CQ) +-
Learning material and recommended literature

Books on the content topics
E-books and online articles
Online tutorials
Companies’ web-portals
Industry related reports and statistics
Relevant media, news agencies, quality press, etc.
Social networking tools
Exercises, tests
Instructors’ own materials, materials produced by students.

Campus

Chongqing

Teaching language

English

Timing

24.03.2025 - 16.05.2025
Groups
- AB2CQ
Teachers

Thomas Sundman

Seats

15 - 60

Degree Programme

ABBA Degree Programme in Aviation Business

R&D proportion

0.00 cr

Virtual proportion

0.00 cr

Evaluation scale

H-5
Aviation Business Basics 2 BUS1AB102-3012 23.03.2026-15.05.2026 5 op (AB2CQ, ...) +-
Learning material and recommended literature

Books on the content topics
E-books and online articles
Online tutorials
Companies’ web-portals
Industry related reports and statistics
Relevant media, news agencies, quality press, etc.
Social networking tools
Exercises, tests
Instructors’ own materials, materials produced by students.

Campus

Chongqing

Teaching language

English

Timing

23.03.2026 - 15.05.2026
Groups
- AB2CQ
- CONTACT
- BLENDED
Teachers

Thomas Sundman

Seats

15 - 60

Degree Programme

ABBA Degree Programme in Aviation Business

R&D proportion

0.00 cr

Virtual proportion

2.50 cr

Evaluation scale

H-5

Current implementations

No ongoing implementations yet.

Past implementations

Aviation Business Basics 2 BUS1AB102-3010 25.03.2024-17.05.2024 5 op (AB2CQ, ...) +-
Campus

Chongqing

Teaching language

English

Timing

25.03.2024 - 17.05.2024
Groups
- AB2CQ
- ONLINE
Teachers

Thomas Sundman

Seats

15 - 60

Degree Programme

ABBA Degree Programme in Aviation Business

R&D proportion

0.00 cr

Virtual proportion

0.00 cr

Evaluation scale

H-5

Upon completion of the course, the student is able to:
LO1: Calculate and understand key financial metrics
LO2: Assess basic financial statement information and understand drivers for corporate profitability.
LO3: Calculate organisation´s key financial performance indicators (KPIs) and interpret these in business and aviation context
LO4: Create visuals with the use of data in order to produce business development storylines

The module advances project management, business mindset, ability to analyse macroeconomical influence on aviation business context. In addition, the implementation promotes the use of digital networking tools and the use of different data sources for industry and organisational analysis.

Lectures, interactive class discussions, exercises, project work, self-directed learning, presentations and field research. In the integrated assignment, student groups will make a business plan that would be suitable for the business environment, markets and business operations. It is highly recommended that the student actively uses the knowledge gained from different courses in the assignments.

a) Classroom learning
b) Distant learning

Self and peer assessment.

Assessing one’s own learning is a compulsory part of the course.

Books on the content topics
E-books and online articles
Online tutorials
Companies’ web-portals
Industry related reports and statistics
Relevant media, news agencies, quality press, etc.
Social networking tools
Exercises, tests
Instructors’ own materials, materials produced by students.

This course might involve a project work commissioned by an external company.

No previous studies needed and no binding connections to other courses.

The student knows how to find data sources and organising both qualitative and quantitative data by choosing and using research and development methods when aided and guided by others. S/he has difficulties in evaluating, understanding and making calculations and evaluations based on given assignments. S/he has a limited ability to recognise data usage for driving business and building up narratives based on numerical analysis. S/he struggles with forming storylines with the help of data and environmental scanning tools. The student is able to identify revenue streams within the project scope with assistance. S/he understand geographical and customer segmentation with assistance. S/he is able to display only a poor level of revenue generation considerations and methods. The student participates in the project planning, implementation and evaluation with a minimal input. The student is able to operate only when the task and instructions are given and when s/he is aided by other students and the supervisors.

The student is able to use data sources and organise data by choosing and using research and development methods. S/he is able to evaluate, understand and make calculations based on given metric assignments. S/he has a rather good ability to recognise data usage for driving business and building up narratives based on numerical analysis. The student is able to identify revenue streams within the project scope with assistance. S/he understand customer and geographical segmentation. S/he is able to display a moderately good level of revenue generation considerations and methods. S/he is able to form storylines by using environmental scanning tools and use information gathered from different data sources. The student participates independently and takes initiatives in group work regarding project planning, implementation and evaluation. The student is able to operate when tasks and instructions are given.

A student that performs exemplary with excellence in this course is identified by consistently contributing in class discussions and indicates thorough preparation and analytical insight. The student interacts with the class, giving space for argumentation and room for fellow student opinions. S/he focuses on building understanding on the narrative at hand by contributing with opinions and insight. S/he is prepared, keeps deadlines, makes comments and references to the learning material, makes visible efforts in analysing and solving possible challenges and problematics. The exemplary student is able to use data sources and organise data by choosing and using research and development methods. S/he is able to evaluate, understand and make calculations based on given metrics performance assignments. S/he has an excellent ability to recognise data usage for driving business and building up narratives based on numerical analysis. The student is able to identify revenue streams within the project scope and form valuable storylines with help of environmental scanning tools by using different data information sources. S/he has profound understand regarding customer and geographical segmentation. S/he is able to display a good level of revenue generation considerations and methods. The student is able to operate when tasks and instructions are given. S/he is happy to take leadership, yet, possesses communication skills to create a positive group atmosphere. S/he understands concepts presented, and master the available tools applicable for analytical assessments.

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