MAART5100 Emotions and Relations in Art Therapy Course description

Different emotional and relational problems effect on mental health and are often at the core of art therapy. This course focuses on clinical art therapy practice with clients who have different mental challenges or diagnoses. Art therapy takes place in triangular relationship and interaction between client or group, art and therapist. The working alliance consists of the client’s emotional bond to the therapist and art as well as the negotiation of art therapeutic tasks and goals. This course focuses especially on the emotional and relational aspects that effect on the quality of working alliance, the group dynamics and outcome of art therapy. Students will develop self-reflective skills and learn to reflect emotional and relational aspects of the therapeutic bond. They will learn to recognize and repair ruptures within the therapeutic relationship.

The students’ own art therapy practice and its reflection from the emotional and relational viewpoint is at the core of learning during this course. It includes supervision of the student’s art therapy practice training. Students will learn to use different tools for measuring the quality of working alliance in art therapy. They will learn principles of systematic reporting and presenting of practice cases. The course includes supervision of students’ art therapy practice.

MAART4100 Introduction to Methods and Ethics of Art Therapy, MAART4200 Assessment and Intervention Methods in Art therapy, MAART4300 Art therapy in Prevention, Treatment, or Rehabilitation.

Admission to the program

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:

• can use principles of case-study to describe and communicate practice experiences
• understands emotional and relational theories, phenomena and problems within the framework of art therapy

• knows different research- and art-based tools for systematic gathering and reflection of emotional and relational data in art therapy

 Skills

The student:  

• can systematically assess and analyse the quality of therapeutic alliance and adapt own approach according to the findings
• knows research-based principles of rupture resolution and can apply them in own practice

• can critically reflect emotional and relational practice experiences and find constructive solutions for challenging situations

Competence

The student:

• can receive and utilize professional supervision, evaluation and feedback to develop practice related emotional, relational and reflective skills
• can present and communicate art therapy practice experiences and processes in a self-reflective, systematic and coherent manner

• can flexibly, creatively and constructively participate in professional reflections and change patterns of action to improve the quality of work, including own practice

This course will give the student insight into the different parts that comprise the internet's architecture and how one can monitor, assess and characterise them. This involves a diverse set of topics that includes but is not limited to routing and addressing, content distribution, data centre networks, key services and application such as DNS and web and mobile broadband. The course will focus particularly on quantification of the robustness and reliability of the internet's architecture and services. Furthermore, the course will draw upon new advancments in the fields of machine learning and network science to extend and expand the toolset available for anlayzing Internet measurements.

The course will be offered once a year, provided 3 or more students sign up for the course. If less than 3 students sign up for a course, the course will be cancelled for that year.

Knowledge

On successful completion of the course, the student:

• has an overview of the different elements that comprise the architecture of today’s internet.
• has a good understanding about the approaches for conducting internet measurements and the latest advances in this field.
• be familiar of a broad set of tools that can help analyzing Internet measurments. Of a particular relevance here are tools that originate in other disciplines like Machine Learning and Statisitcal Physics. This will not only expand the available toolset but also increases the potential for interdisciplinory collaboration going forward.

Skills

On successful completion of the course, the student can:

• plan and carry out state-of-the-art measurement tasks
• can formulate research questions on the robustness and performance of operational networks, and design measurements for evaluating these questions.
• will have a general practical understanding of how different parts of the internet's architecture interplay to offer a performant end-to-end service.

General competence

On successful completion of the course, the student can:

• participate in debates and present aspects of his/her expertise in a way that promotes such discussions.
• drive innovation

Module 1 will take the form of lectures. Module 2 will take the form of lab and homework assignments. Module 3 will take the form of seminars. In module 3, the student will present a case to the other students. We will also invite guest lecturers from research groups that focuses on machine learning and network science to introduce the students to potential tools and analysis methods.

Practical training

The students will participate in lab experiments to explore how once can measure various aspects of internet's robustness and performance. The students will write a summary of one of the tools that were introduced in the lab and discuss its benefits and limitations.

None.

Both the presentation of the case in Module 3 of the course and the tool summary document in the practical training part the course will form basis of assessment.

Both exams must be passed in order to pass the course.

The oral presentation cannot be appealed.

All aids are permitted.