University of Copenhagen

Although this course focuses on Islamic and Muslim feminisms (in the plural) it also cover women’s experiences with radical Islam, masculinities, LGBTQ+ Islam, and similar phenomena. The course consists of five modules. The first module studies Muslim migration to Denmark and explores Islam in Copenhagen through a field study in which students do photo-journalism. The second module focuses on female and LGBTQ+ imams in Europe. In the third module, students read and listen to artistic productions by Muslim minority women and men in the form of novels, poetry, and music. As part of this module students do a semi-structured interview with either a Muslim or a non-Muslim on private and public perceptions of Islam. The fourth module investigates current Muslim civil rights organizations, and the final module focus on Muslim female piousness.

This course examines mathematical concepts for stochastic calculus. The topics include: introduction to continuous time stochastic processes; definition and properties of Brownian motion; semimartingales; Stochastic integration; Itô (change of variable) formula; theorems for applications (e.g., Girsanov’s theorem).

This course develops presentation skills for speaking before academic audiences. Students practice writing to think through research and communicate thoughts by means of informative and appealing texts. This intensive course, designed as a series of interactive workshops, offers an opportunity to present and write in English within the student's own discipline and reflect on use of academic sources, AI literacy, presentation skills, writing habits, and writer identity. Students choose a research problem to investigate and follow the stages of researching and writing as two interlinked processes: focus the research question, conduct the literature review, collect the best evidence to argue for the importance of the research project. The course also provides an opportunity to read like a writer by analyzing model texts and sample texts written by peers to better understand rhetorical strategies and stylistic conventions of selected academic text types. Students practice presenting by preparing three 3-minute presentations based on secondary sources about the research question, delivered for a small group of peers. They also present for 7 minutes in front of the whole class to share their views, engage in a question-and-answer session, and hear feedback on their performance. Students also practice writing and giving feedback through drafting three sections of the research paper (extended definition of a key concept, literature review, introduction or discussion/conclusion), cite primary as well as secondary sources, and acknowledge collaboration with AI. Students exchange feedback on drafts with peers and receive comments from tutors in order to rewrite their texts for greater persuasiveness and clarity. The semester of reading, writing, presenting, and exchanging ideas with international peers from various disciplines allow students to become better academic communicators.

This course covers the following topics: graph algorithms such as max flow; data structures such as van Emde Boas Trees; NP-completeness; exponential and parameterized algorithms for NP-hard problems; approximation algorithms; randomized algorithms; computational geometry; linear programming and optimization.

This course explores the broad, societal implications of capitalism. It explores three main topics—colonialism, gender, and ecology—to investigate how we can view capitalism as extending beyond the market economy, mode of production, and class relations. Furthermore, these three topics allow us to connect critiques of capitalism to major societal issues and core themes in contemporary economics, namely inequality and ecological crises and policies. The course critically examines both the foundations of capitalism theories and key critiques, encouraging students to assess the relevance of these perspectives in understanding contemporary economic challenges. The course specifically deals with economics but takes an interdisciplinary approach. Large parts of the curriculum come from other disciplines, mainly sociology, political theory, human geography, and philosophy. At its core, the course equips students with the tools to critically engage with these critiques, examine their strengths and limitations, and relate them to mainstream economic theory and research.

This course introduces students to fundamental techniques for mobile autonomous robotics. In this course, a robot is a computer mounted on a chassis with controllable wheels. To allow the robot to perceive its surroundings, a camera and several distance sensors are attached to the computer. This course is oriented towards the practical aspects of mobile robotics and students in groups solve a set of assignments on the robots. Furthermore, the course introduces relevant robotics theory and methods including control, navigation, and localization of the robot as well as problem solving with robots including hardware/software trouble shooting. Some methods for analyzing sensor data are also covered. The course finishes with a larger assignment.

This course provides an overview of foundational coaching theories, evidence-based practices, and the evolution of coaching psychology. It focuses on current issues, ethical considerations, cultural competency, and practical coaching strategies. The course offers an exploration of future trends and innovations to prepare students for emerging challenges and effective, sustainable coaching outcomes.

This course focuses on rural landscape management with emphasis on ends, means, and solutions in management and planning projects. The course consists of two parts: an introduction and a problem-based project. The introductory part of the course includes lectures, exercises, and seminars on landscape processes and functions as well as methods for analyzing landscapes and collecting data relevant to planning and management of rural landscapes. Topics include: analyses of cultural landscapes and their current changes and implication for landscape policy, planning, and management; farmers' and other stakeholders' values and practices in relation to land use, cultural heritage, nature conservation, and aesthetic values; spatial planning and the design and implementation of spatial plans in relation to conflict management and place-making; case study approach and relevant research methods. Students are expected to contribute substantially to the seminars in the introductory part by presenting relevant methods and literature as well as preliminary ideas for projects. The project part of the course is the main part of the course and starts with a visit to a Danish municipality to show practical landscape management and planning tasks and challenges that are found in the municipality. Students then form project groups and propose a project problem to be approved.

This course provides a deeper understanding of migrant lives, experiences, and emotions in the 20th and 21st century, to give a fuller sense of the varied comparative and transdisciplinary methodologies that can be used in the study of the subject, and to introduce students to research work with a view to thesis writing. The course incorporates varied approaches including chronological, thematic, and theoretical aspects. For example: the relationship between psy disciplines and migration experiences; the emergence of refugee psychiatry and its relationship to broader political contexts; and the politics of humanitarian psychiatry. The course centers around a group of comparative and interdisciplinary case studies. These include displaced persons and forced migration from within and outside Europe after the First and Second World War; dissidents and refugees in Europe; guest workers and post-colonial labor migrants after 1945 in Britain, France, and Germany. The course also incorporates varied methodologies and sources, including printed and unprinted sources, oral history and life-story analysis, quantitative, qualitative, and comparative methods as well as film, memoir, and visual analysis.

This course is focused on the topic of infant and early childhood cognition, and draws on our knowledge of the developing brain and findings from neuroimaging. It begins with an introduction to the field of infant cognitive development, an overview of brain development, and current methodology for studying infants and their brains. The course covers a new topic each week, including both domains of knowledge (objects, number, faces, social reasoning, morality) and mechanisms of early learning (information expectation, information seeking, statistical learning). The course provides a state of the art on cognitive development and focuses on the most recent research that has transformed our understanding of what and how infants learn.