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BEGIN:VEVENT
DTSTART;VALUE=DATE:20261013
DTEND;VALUE=DATE:20261016
DTSTAMP:20260915T101730Z
CREATED:20260915T101730Z
LAST-MODIFIED:20260915T101730Z
UID:10001894-1791849600-1792108799@ddsa.dk
SUMMARY:HTAP Principles of Relational Database Systems
DESCRIPTION:Relational Database Management Systems form the foundation of every larger software application\, with requirements coming in various “flavors” usually resulting in a “Hybrid Transactional and Analytical Processing” (HTAP) model. The course will discuss the impact of HTAP requirements on specific architectural decisions. It will therefore cover an end-to-end perspective from open storage formats to specific extensions at the level of SQL as the de facto standard query language. The course will also cover typical concurrency models and deployment scenarios in the cloud. The course will consist of two logical parts. In the first part\, different components and their interplay will be discussed on a conceptual level. In a second part\, the course will provide a hands-on experience in implementing an HTAP scenario on top of a relational data system. \nFor additional information\, updates\, and registration\, please refer to AAU PhD Moodle via the link provided on the right side of this page. \nDisclaimer:\nDDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/htap-principles-of-relational-database-systems/
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261021
DTEND;VALUE=DATE:20261024
DTSTAMP:20260624T091354Z
CREATED:20260624T091354Z
LAST-MODIFIED:20260624T091354Z
UID:10001931-1792540800-1792799999@ddsa.dk
SUMMARY:Human-Centered AI
DESCRIPTION:Welcome to Human-Centered AI \nDescription: Artificial Intelligence has experienced a tremendous increase in attention in recent years across all sectors\, including health\, transportation\, finance\, construction\, and entertainment. In the realm of software engineering\, integrating AI in a human-centered manner is crucial for ensuring that these technologies enhance human capabilities and maintain ethical integrity. Ben Shneiderman envisions “computing devices that dramatically amplify human abilities\, empowering people and ensuring human control.” He proposes that “Human-Centered AI (HCAI) enables people to see\, think\, create\, and act in extraordinary ways\, by combining potent user experiences with embedded AI support services that users want.”\nThis three-day PhD course\, inspired by the Copenhagen Manifesto\, explores the intersection of AI and software engineering\, focusing on human-centric design principles and ethical considerations. Participants will focus into the core values of human-centered AI\, such as responsibility\, ethics\, transparency\, equity\, inclusivity\, continuous learning\, and environmental sustainability.\nThe course is structured to provide an interactive and comprehensive learning experience\, utilizing Liberating Structures to facilitate active engagement and collaboration. Participants will: \n\nUnderstand the foundational principles of human-centered AI and their application in software engineering.\nExplore strategies for designing AI systems that prioritize human needs\, transparency\, and equity.\nDevelop practical skills in implementing and evaluating human-centered AI technologies.\nReflect on the ethical implications and societal impact of AI in software engineering.\nBy the end of the course\, participants will have a robust understanding of how to integrate human-centered principles into their work\, ensuring that AI technologies serve the common good and promote human wellbeing.\n\nLiberating Structures: Liberating Structures (LS) are a collection of easy-to-learn interaction methods that enhance relational coordination and trust among participants. Unlike traditional frontal lecturing\, LS methods focus on interactive workshops where everyone participates actively. These structures enable all participants to contribute to shaping the direction and outcomes of the course by structuring how people interact and collaborate. LS methods are designed to include and unleash everyone’s contributions in ways that are productive and engaging. Key Liberating Structures used in this course include: \n\nImpromptu Networking: A rapid process for initiating connections and conversations between participants\, fostering quick and meaningful engagement.\n1-2-4-All: A structured way of having everyone generate ideas and share them\, starting individually\, then in pairs\, groups of four\, and finally with the entire group.\nTRIZ: A problem-solving method that involves identifying everything that could lead to the worst possible result\, and then flipping these to find innovative solutions.\nConversation Café: A lightly structured method for hosting group dialogues that encourage thoughtful and inclusive conversation.\nOpen Space Technology: A participant-driven process where individuals propose and lead sessions on topics they are passionate about.\n\nPrerequisites: None \nFor additional information\, updates\, and registration\, please refer to AAU PhD Moodle via the link provided on the right side of this page. \nDisclaimer:\nDDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/human-centered-ai/
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261023
DTEND;VALUE=DATE:20261026
DTSTAMP:20260924T084250Z
CREATED:20260728T114700Z
LAST-MODIFIED:20260924T084250Z
UID:10001933-1792713600-1792972799@ddsa.dk
SUMMARY:Visual Communication of Research through Video and Images
DESCRIPTION:Welcome to Visual Communication of Research through Video and Images \nDescription: This course equips PhD researchers from all disciplines with the foundational skills to plan\, capture\, and edit compelling visual narratives of their work\, addressing the growing expectation from journals and conferences for video and image-based explanations of dynamic systems and complex results. Through a blend of focused lectures and hands-on exercises\, students learn to storyboard and script their ideas\, master basic principles of framing\, lighting\, audio\, and motion\, integrate data visualization into moving media\, handle editing and post-production workflows\, consider accessibility and ethical presentation\, and prepare assets for effective dissemination. \n The core of the course is project-based: each student develops and iteratively refines a visual communication piece centered on a research project of their choice\, culminating in a final deliverable in the form of a short video and/or detailed storyboard. Evaluation is based on the clarity and impact of that final project\, the demonstration of applied techniques\, and the reflective development process. By the end of this course\, students will have edited a short video and gained a toolbox of practices and principles to enhance the reach and intelligibility of their future research communication. \nPrerequisites: None \n Learning objectives: By the end of the course\, students will be able to identify the key components of effective visual communication and describe the video production process\, including planning\, shooting\, and editing. They will apply techniques such as storyboarding\, framing\, pacing\, and narration to communicate their own research projects clearly and ethically through video or images. Students will be able to critique visual materials using established principles\, justify their design decisions\, and adapt their skills to future research contexts. Ultimately\, they will leave the course with both a completed visual communication piece and a transferable toolbox of methods for enhancing the clarity and impact of their research dissemination. \nFor additional information\, updates\, and registration\, please refer to AAU PhD Moodle via the link provided on the right side of this page. \n \n Disclaimer:DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/visual-communication-of-research-through-video-and-images/
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261023
DTEND;VALUE=DATE:20261026
DTSTAMP:20260909T080025Z
CREATED:20260909T080025Z
LAST-MODIFIED:20260909T080025Z
UID:10001932-1792713600-1792972799@ddsa.dk
SUMMARY:Visual Communication of Research through Video and Images
DESCRIPTION:Welcome to Visual Communication of Research through Video and Images \nDescription: This course equips PhD researchers from all disciplines with the foundational skills to plan\, capture\, and edit compelling visual narratives of their work\, addressing the growing expectation from journals and conferences for video and image-based explanations of dynamic systems and complex results. Through a blend of focused lectures and hands-on exercises\, students learn to storyboard and script their ideas\, master basic principles of framing\, lighting\, audio\, and motion\, integrate data visualization into moving media\, handle editing and post-production workflows\, consider accessibility and ethical presentation\, and prepare assets for effective dissemination. \nThe core of the course is project-based: each student develops and iteratively refines a visual communication piece centered on a research project of their choice\, culminating in a final deliverable in the form of a short video and/or detailed storyboard. Evaluation is based on the clarity and impact of that final project\, the demonstration of applied techniques\, and the reflective development process. By the end of this course\, students will have edited a short video and gained a toolbox of practices and principles to enhance the reach and intelligibility of their future research communication. \nPrerequisites: None \nLearning objectives: By the end of the course\, students will be able to identify the key components of effective visual communication and describe the video production process\, including planning\, shooting\, and editing. They will apply techniques such as storyboarding\, framing\, pacing\, and narration to communicate their own research projects clearly and ethically through video or images. Students will be able to critique visual materials using established principles\, justify their design decisions\, and adapt their skills to future research contexts. Ultimately\, they will leave the course with both a completed visual communication piece and a transferable toolbox of methods for enhancing the clarity and impact of their research dissemination. \nFor additional information\, updates\, and registration\, please refer to AAU PhD Moodle via the link provided on the right side of this page. \n \nDisclaimer:\nDDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/visual-communication-of-research-through-video-and-images-2/
CATEGORIES:PhD Course
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261102
DTEND;VALUE=DATE:20261107
DTSTAMP:20260909T075926Z
CREATED:20260909T075926Z
LAST-MODIFIED:20260909T075926Z
UID:10001896-1793577600-1794009599@ddsa.dk
SUMMARY:Decision Making and Data Visualization in Design
DESCRIPTION:Designing is a complex process that involves the consideration of a plethora of aspects\, such as different design criteria and performance aspects that often are at odds with each other. To tackle the multidimensionality of the performance-based design\, designers either need to ponder simultaneously different aspects or resort to (semi)automated search procedures to examine better the potential trade-offs of a wide range of design solutions that compose the design space. For example\, it is becoming common to use parametric design and multi-objective optimization techniques borrowed from other disciplines (e.g.\, computer science\, artificial intelligence\, mathematics\, statistics\, sociology) to explore the design space of a multi-criteria design problem more effectively. While the trade-offs of two performance/decision variables are easy to examine\, the complexity of analyzing the output of parametric design explorations and multi-objective optimization processes exponentially increases along with the number of decision variables\, thus hindering decision-making processes during the design process. \nThis course will examine the crucial role of data visualization in analysis and decision-making processes in complex multi-criteria design problems. Through a series of readings\, lectures\, workshops and practical exercises\, it will explore different visualization methods to improve analysis tasks and statistical techniques to simplify the complexity of the problem (e.g.\, dimensionality reduction). Thus\, the course requires a multidisciplinary view that involves the knowledge of different fields such as computer simulation\, statistics\, data visualization\, and parametric and goal-oriented design. The goal is to develop better ways to steer the design of buildings or products that involve several performance indicators and enable students to fully address the complexity of multi-criteria performance-based design. \nDisclaimer:\nDDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
URL:https://ddsa.dk/event/decision-making-and-data-visualization-in-design/
CATEGORIES:PhD Course
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