BLA1300 Nature, Health and Physical Activity Course description

This course is an introduction to entrepreneurship and covers entrepreneurial theories, concepts and practices. The course introduces how to identify challenges in society and evaluate new solutions to these identified challenges. Perspectives on value creation for others, entrepreneurship and innovation are emphasized. The course also provides experience in entrepreneurial work methods including design thinking, introduction to market research and feasibility studies.

Students are expected to create ideas and validate their value creation potential in contact with real stakeholders. Throughout the course, students are presented with different entrepreneurial theories, tools and frameworks and are expected to make use of them in their work. The course challenges the students to step outside their comfort zone, expose themselves to a high degree of uncertainty and develop their entrepreneurial competencies and mindset. The goal of the course is to develop the students’ ability to identify, create and evaluate entrepreneurial opportunities that can create value for others.

Language of instruction is Norwegian or English.

None

After completing the course, the student should have the following overall learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student has

• in-depth knowledge about innovation, entrepreneurship and value creation
• a high level of knowledge about the identification and seizing of value creation opportunities. This includes an ability to identify needs and challenges that need to be considered.
• specialized understanding of the challenges and opportunities related to entrepreneurship
• an in-depth understanding of the impact and implications of innovation and entrepreneurship on people, profit and planet
• a high level of knowledge about idea generation, evaluation and how to create a product or service that can meet needs in the market

Skills

The student is capable of

• identifying and understanding users’ or customers’ problems and creating new solutions to identified problems
• assessing and evaluating the commercialization potential of an idea, and the potential consequences and effects of entrepreneurial action on target communities, the markets, the environment and society at large
• participating in teamwork and driving teamwork forward in entrepreneurial environments
• using and explaining entrepreneurial tools and processes, such as design thinking and business modelling

General competence

The student can

• explore and experiment with creative and innovative approaches
• apply knowledge and skills when creating or seizing opportunities
• communicate and master theoretical concepts, language and different forms of expression
• identify and assess individual and group strengths and weaknesses and give and receive feedback in a group
• use reflection as a tool to learn from experiences

No requirements over and above the admission requirements.

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:

Knowledge

The student is capable of:

• explaining the structure and purpose of data structures such as tables, lists, stacks, different types of queues, heaps, hash tables, different types of trees, graphs and files
• explaining the function and efficiency of different variants of algorithms for counting, entering, searching for, deleting, traversing, sorting, optimising and compressing data

Skills

The student is capable of:

• analysing, designing, and implementing data structures, and evaluate which data structures are suited for specific tasks
• analysing, designing, implementing and using the algorithms required to solve specific tasks
• using both self-developed and standardised algorithms and data structures to solve complex and complicated problems

General competence

The student is capable of:

• participating in discussions and providing advice on what data structures and algorithms are most expedient in different situations
• communicating the importance and necessity of using good structures and efficient algorithms in programming projects

All aids are permitted, as long as the the rules for source referencing are complied with.

Exam autumn 2020 due to Covit-19:

A two part exam:

1.Portifolio examination and

2.An individual one hour digital home exam.

Both parts must be passed and passed in the same semester to pass the course.

[Exam earlier:]

An individual three-hour written exam.

The exam result can be appealed.

None.