STEP6000 Stereotypes, Prejudice and Hate Speech in Intercultural Encounters Course description

The course description was approved by the Academic Affairs Committee 6 August 2019 at the Faculty of Education and International Studies, OsloMet. The course was established by the Dean 26 August 2019. Valid from spring semester 2020.

Introduction

The Faculty of Education and International Studies (LUI) at OsloMet - Oslo Metropolitan University offers a one semester part-time course in Stereotypes, prejudice and hate speech in intercultural encounters (15 ECTS). The course is jointly developed by four universities: OsloMet, Tbilisi State University (TSU), Yerevan State University (YSU) and Khazar University (KHZ).

The course is designed for students at master level, working or planning to work in culturally diverse settings. The course presents various concepts related to intercultural interaction, and aims to develop and promote competence in intercultural communication. The course gives knowledge about how to recognize stereotypes, prejudice and hate speech in oneself and others, and shows connections between hate speech, prejudices and stereotypes in intercultural contexts, like for example academic settings and work settings. Particular attention will be given to contemporary contexts, like migration.

The course is based on blended learning methods (face-to-face and on-line learning activities) and academic mobility. One-week face-to-face session will be held in Oslo and one week in Tbilisi (Georgia). Students from all four universities will be gathered together in these face-to-face sessions. Both sessions are obligatory. Travel costs, accomodation and food will be covered by the project.

After completion of the course, the student will have acquired the following learning outcomes, defined as knowledge, skills and general competence:

In-depth knowledge

• about concepts and perspectives in intercultural communication
• about migrating stereotypes, prejudice and hate speech across borders
• about effects and consequences of hate speech on individual and societal level

Skills

• ability to critically analyze and reflect upon challenges and opportunities related to intercultural communication
• ability to recognize stereotypes, prejudice, conspiracy theories and hate speech in oneself and others

General competence

• critically analyze different socio-cultural contexts of communication in culturally diverse environments

The course is based on a blended learning approach: there will be a combination of face-to-face and on-line learning activities. It includes lectures, discussions, multimodal presentations, and group work. The students are also expected to do a considerable amount of self-study. The face-to-face learning activities will be organized as two sessions, one of these sessions will take place in Tbilisi (Georgia) and one in Oslo.

The curriculum, lectures, and all written and oral activities will be in English.

This course provides a hands-on overview of common theories and methods used in the design of robotic and autonomous systems. The course is organized around weekly practical labs and lectures that complement each other. The student will get hands-on experience with the technologies, algorithms, and architecture of robotic and autonomous systems. The course uses examples from aerial, space, ground, underwater, and industrial robotic and autonomous systems.

No formal requirements over and above the admission requirements.

The student should have the following outcomes upon completing the course:

Knowledge:

Upon successful completion of the course, the student should have:

• advanced knowledge on robotic and autonomous systems components and architecture
• advanced knowledge in modeling kinematics and dynamics of robotic systems
• advanced knowledge in common sensor and actuator technologies used in robotics
• have advanced knowledge of algorithms and methods used in state estimation, navigation, and motion planning
• a good understanding of the Robot Operating System (ROS) and software architectures used in robotic and autonomous systems

Skills:

Upon successful completion of the course, the student can:

• analyze a robotic and autonomous systems with regard to its components, architecture, and their purpose
• model and analyze kinematic and dynamics of robotic systems
• apply a number of algorithms and methods in state estimation, navigation, and motion planning
• analyze and implement solutions based on Robot Operating System (ROS)

General competence:

Upon successful completion of the course, the student can:

• discuss the role of robotic and autonomous systems in a number of practical applications
• analyze how robotic and autonomous systems operate and design specific components using ROS and other software tools.

This course will feature weekly lectures and lab work to provide both theoretical and hands- on experience. Students will work in groups and complete assignments given to them. The student will supplement the lectures and lab with their own reading. The students will also work on a individual project.

The following coursework must be approved before the student can take the exam:

Four assignments in groups of 1-3 students (1000 - 2000 words per assignment)