English

The course develops students’ understanding of key marketing terminology and conceptual frameworks; provides students with an understanding of the role marketing plays in businesses and not-for-profit organizations and its importance for individuals within a society; provides students with: a) an understanding of buyer behavior and b) a skill to apply this knowledge for building firms’ competitive advantage; develops students’ understanding of how different organizations develop their marketing mix strategies while also paying attention to quality, ethical behavior, and social responsibility; and develops students’ knowledge of marketing tools and procedures used to analyze a variety of business situations.

This course focuses on mobile robotics, emphasizing practical algorithms for navigation, all based around real hardware and tested in the real world. Key elements are: wheeled locomotion, motor control, and motion calibration; outward-looking sensors for behavioral control loops; probabilistic localization using particle filtering; advanced use of sensors for place recognition, occupancy mapping and planning; and an introduction to Simultaneous Localization and Mapping. The course is intensively practical, and all the key methods students learn are tested on robots they build.

This course provides an introduction to the foundations of 3D computer graphics. 

Students learn the basic methods used to define shapes, materials, and lighting when creating computer-generated images for use in film, games, and other applications. Topics include affine and projective transformations, clipping and windowing, visual perception, scene modeling and animation, algorithms for visible surface determination, reflection models, illumination algorithms, and color theory in depth. 

No official prerequisites, but the course assumes some programming experience in C or C++ and a basic knowledge of linear algebra. Exposure to calculus and image processing is useful but not required. 

The course's goal is to enable participants to acquire and process digital images in technical applications in a context-aware manner. The course introduces the basics of digital image processing, the acquisition of images in computing environments, and the extraction of semantic contents from the images. The goal of the course is the exemplary coverage of an interdisciplinary breadth, not necessarily an in-depth treatment of a specific domain. Fundamentals like sensor calibration, feature detection (e.g. edge extraction), matching and classification are taught. Integrated practical exercises cover operating a camera from a single-board computer and using a smartphone camera in a computer vision setting. Furthermore, exemplary machine learning approaches are used for “understanding” the images acquired previously. Software to be developed make use of the OpenCV Python library.

This course explores the dynamic interplay between gender, space, and state policies in Iran, focusing on how women navigate and resist the gendered narratives imposed by the state. By examining both historical and contemporary contexts, the course delves into the ways Iranian women, from various backgrounds and walks of life, have engaged with modernity, anti-modernity, and state-driven agendas. Through a mix of theoretical frameworks and case studies, students gain insights into the strategies used by women to resist and negotiate oppressive structures, with an emphasis on the spatial aspects of their resistance.