FYB1100 Anatomy and Physiology - I Course description

Physiotherapists use knowledge about the body’s structure (anatomy) and function in the performance of many tasks. The body is a functional unit, and structure and function affect each other in that a change in structure can lead to a change in function, and vice versa. Physiotherapists use this knowledge about the connection between structure and function when assessing muscle strength, for example. Reduced muscle strength can be caused by damage to /disease of the muscle tissue and nerve tissue, and the physiotherapist must be able to identify the structural cause. Knowledge about the connection between structure and function is therefore important to the work of physiotherapists, and the course emphasises theoretical knowledge about the musculoskeletal system and the nervous system.

The student must have been admitted to the study programme.

After completing the course, the student should have the following learning outcomes defined in terms of knowledge and skills (learning outcomes marked with an asterisk (*) are assessed in connection with the coursework requirements):

Knowledge

The student can

• explain the structure of the human body’s musculoskeletal system and nervous system, and the relationship between them
• describe the connection between the structure and functional properties of the musculoskeletal system
• describe the connection between the structure and functional properties of the nervous system
• describe normal anatomical variation in the musculoskeletal system
• describe the transmission of nociceptive signals, modulation mechanisms and pain processing in the brain

Skills

The student can

• identify anatomical structures in the musculoskeletal system and the nervous system in anatomical specimens*
• apply Latin names and terminology for muscles, joints, ligaments, nerves, positions, directions of movement, axes and planes

The work and teaching methods include self-study, group work, seminars, lectures and practical skills training.

The following must have been approved in order for the student to take the exam:

• station test, up to 30 minutes

No formal 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 general competence:

Knowledge:

Upon successful completion of the course, the student will achieve knowledge about:

• terminology and models for transport studies
• statistical and machine learning methods
• advanced sensing technologies
• future development in the transport data analytics

Skills:

Upon successful completion of the course, the student is capable of:

• understanding and applying the proper knowledge and method to collect, process, and analyze transport data
• applying statistical and machine learning methods with a proper interpretation of the methods used in transport modelling
• making use of approved terminology and standardization in the field of transport analytics
• optimum use of data analysis software (Python, R, or Weka)
• using the modelling methods to support intelligent transport system management and policy development

General competence:

Upon successful completion of the course, the student:

• has deep insight into the transport data collection and data analysis methods
• is able to apply proper methods to solve practical problems in different real-world conditions
• is able to understand and explain the results of transport models
• is able to present academic results and evaluations, both to specialists and to the general public

This course will consist of lectures, one seminar (with invited lecturers, discussions and presentations), and lab sessions to provide theoretical content and preliminary hands-on experience. The students will be involved in peer feedback and the students are given a project task to work in groups during the semester.

Two individual assignments must be approved. Students who fail to meet the coursework requirements can be given up to one re-submission opportunity.

1) Project report prepared in groups, approx. 15 - 20 pages (excl. appendices), weighted 70%.

2) Oral presentation and examination of the project report, weighted 30%.

All assessment parts must be awarded a pass grade (E or better) to pass the course.

Assessment parts: 1) can be appealed, 2) cannot be appealed

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

2) None