JBV3000 Follow the Money Emneplan

Basic economic knowledge is pivotal for journalists reporting and understanding of contemporary societies. In this course, students will learn basic economics, statistics and accounting in order to do investigative journalism on economic issues and finance. Using companies as cases, students will learn to reflect critically on economics and analyse financial statements.

Knowledge

The student has knowledge of

• the role of economics in contemporary societies
• the accessibility of economic and financial information in both public and private sector
• basic accounting and economics
• basic economic theory

Skills

The student

• can identify newsworthy information in budgets and financial statements
• can find and access sources of economic and financial information
• can present economic and financial information in an accessible way

General competence

The student

• can critically reflect upon the impact and role of economy in contemporary society
• can critically reflect upon the role of journalism for public understandings of economic and financial mechanisms

The course is organized in gatherings of intensive tuition, with lectures, workshops, group presentations and discussions.

Students will be able to:

• describe the scope and ambition of the complexity research field, and point to practical applications
• describe and discuss the essential concepts and research methods in complexity research. (Concepts include emergence, complexity, networks, self-organization, pattern formation, evolution and co-evolution, adaptation, chaos, cooperation, competition, interdependence, scaling, dynamic response, information and function. Methods include statistical methods, agent-based modeling, system dynamics and cultural analysis.)
• place their own research project in a complexity context

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.

• All papers approved,
• attendance in at least 80 % of the seminars, and
• approved paper presentation in final seminar.

Students will be able to:

• describe the scope and ambition of the complexity research field, and point to practical applications
• describe and discuss the essential concepts and research methods in complexity research. (Concepts include emergence, complexity, networks, self-organization, pattern formation, evolution and co-evolution, adaptation, chaos, cooperation, competition, interdependence, scaling, dynamic response, information and function. Methods include statistical methods, agent-based modeling, system dynamics and cultural analysis.)
• place their own research project in a complexity context

General admission requirements for the Ph.D. Degree in Behavior Analysis.

Basic knowledge about autism and ABA intervention, and techniques (i.e. discrete trial training experience; intervention programs, measuring and recording behavior; reinforcement systems)