Study Guide

Learning outcomes

The student knows megatrends such as:
- smart cities
- Climate change
- Hybrid trading
- Business empathy
- The meanings of digitalisation and artificial intelligence
- data analysis capabilities

and is able to consider their significance and potential for the hotel and restaurant industry

Implementation and methods of teaching

Online lectures in May 2024, which can also be watched afterwards from the learning platform. Independent studying and assignments.

Timing and attendance

Online lectures and coaching in May and independent studying from June to August. Lecture recordings will be added to the learning platform, so lecture attendance is not mandatory.

Learning material and recommended literature

The studying materials presented at the learning platform

Alternative completion methods

There are no optional ways to complete the course.

Learning environment

Moodle and Howspace -learning platforms. Online lectures via Zoom.

Student time use and work load

All course materials and assignments will be presented in May and assignments' deadline is at the end of August.

Contents

The course provides an overview of the trends and future prospects of the hospitality industry. Student familiarizes with the megatrends and their importance for the future of the hospitality industry.

Additional information for students: previous knowledge etc.

No requirements for previous expertise

Assessment criteria

Assignments are evaluated on a scale of 1-5.
Attendance in lectures (or watching the lecture recordings afterwards) is part of the evaluation criteria.

Assessment scale

1-5

Failed (0)

Student hasn't delivered the assignments.

Assessment criteria: level 1 (assessment scale 1–5)

Student has delivered the minimum 70% of the assignments. The learning tasks were partially and only slightly in line with the instructions given. The content of the reports is only partially in line with the instructions given. The content of the reports is partly inadequate.

Assessment criteria: level 3 (assessment scale 1–5)

Good (4,3): The student has delivered the assignments. The delivered assignments have partly followed the instructions given and the content of the delivered assignments partly complies with the instructions given.

Assessment criteria: level 5 (assessment scale 1–5)

Excellent (5): Student has delivered the assignments. The delivered assignments have followed the instructions given and the content of the delivered assignments are in line with the instructions given.

Learning outcomes

The student knows megatrends such as:
- smart cities
- Climate change
- Hybrid trading
- Business empathy
- The meanings of digitalisation and artificial intelligence
- data analysis capabilities

and is able to consider their significance and potential for the hotel and restaurant industry

Assessment scale

1-5

Learning outcomes

The student knows megatrends such as:
- smart cities
- Climate change
- Hybrid trading
- Business empathy
- The meanings of digitalisation and artificial intelligence
- data analysis capabilities

and is able to consider their significance and potential for the hotel and restaurant industry

Assessment scale

1-5