PHBA8250 Empirically Supported Treatments - research, control and validation Emneplan

Master-s level knowledge of behavior analysis

Students can:

• describe and discuss criteria for Empirically Supported Treatments
• describe and discuss various ways of conducting assessments of research
• describe and discuss the rationale behind manual-based interventions
• describe and discuss the concepts of treatment integrity and treatment fidelity
• describe and discuss the concepts of efficacy and effectiveness
• describe and discuss the concept of social validity
• place the discussion on evidence-based intervention science in a historical perspective,
• describe and discuss the trend towards ESTs and main arguments against it
• review examples of intervention research with criteria from EST

The course consists of 1 introductory meeting, and 6 - 12 seminars of 4 x 45 minutes, and time for discussion and a final seminar (4 x 45 minutes). The introductory meeting takes place 2 weeks ahead of the main part of the course. At this meeting, the structure, content and purpose of the course are presented. The students are asked to give short presentations of their Ph.D. projects, and describe how the course is relevant to it. The main purpose of this early session is to help the students to start systematic work with the course readings.

The seminars target central themes from the course readings for discussion and reflection. A high level of student participation is expected. During this time, students will produce several reaction papers (3 - 4 pages double spaced), and a final presentation of one central theme from the course. Themes are assigned by the lecturers.

The final seminar consists of a discussion of the presentations, which are distributed in advance as papers not to exceed 10 pages double spaced, and introduced by each candidate in a short (3 minute) session. Course teachers mediate the discussions.

How and why do individual employees and groups of employees behave the way they do within an organizational setting? How do leaders achieve the best outcomes for their organizations? Organizational behavior and leadership theories address these questions and their possible answers from different angles. Such theories aim to understand, explain and improve attitudes of individuals and groups in organizations. This understanding is important for the facilitation of positive individual, group, and organizational functioning, success and competitive advantage. This course addresses these issues and is an introduction to psychological theory in an occupational perspective.

Students who participate in this course will acquire knowledge about how different psychological factors affect human behavior in organizations. An overview of contemporary research based knowledge and the most important topics, concepts, and contributions within this field is provided.

On completion of this course, the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The course will give the students in depth knowledge on the following topics

• Sampling, digitalization and reconstruction.
• How to obtain the signal spectrum of digital and analog signals
• How to obtain the frequency response of digital systems
• Methods of filtering discrete signals
• Digital image formats

Skills

The student will know how to:

• Describe digital signals and systems mathematically in the time domain
• Describe discrete signals and systems in the frequency domain and the Z-domain
• Describe digital images mathematically in real space and frequency space
• Describe linear time invariant systems using difference equations, impulse responses, and transfer functions
• Analyze time discrete systems in the frequency domain
• Use discrete filters and the digitized versions of analog filters: FIR and IIR
• Apply post processing of images for filtering, noise reduction, edge detection and presentation.

General competence

The student will have general competence on:

• Frequency spectrums, impulse responses, frequency responses, convolution and modulation
• Fourier-series (FS), Fourier transform (FT).
• Sampling, reconstruction and aliasing
• Implementation of DSP-filters
• Improving image presentation

Lectures.

Exercises.

Computer exercises.

None

Individual written exam, 3 hours

The exam grade can be appealed.

New/postponed exam

In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for registering for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

In the event of a postponed examination in this course the exam may be held as an oral exam. Oral exams cannot be appealed.