How to make (almost) anything (Spring 2025)The course is a hands-on introduction to the tools that are necessary to design and develop physical artefacts. | MSc | |
Introduction to Database Systems, MSc SD (Spring 2025)The course covers fundamental techniques for developing data management and data analytics applications. | MSc | |
Introduction to Database Systems, SWU (Spring 2025)The course covers fundamental techniques for developing data management and data analytics applications. | BSc | |
Probabilistic Programming (Spring 2025)This course introduces basics of Bayesian statistics, Bayesian data analysis, Bayesian learning, and the programming tools that enable automation of these methods. The course emphasizes programmable statistical methods over pen and pencil analytics. | MSc | |
Advanced Machine Learning for Data Science (Spring 2025)In this course, we teach both advanced machine learning (ML) approaches and hands-on skills for applying these approaches to data science problems.
| MSc | |
Data Science in Production (Spring 2025)This course will introduce classes of tasks that are at the core of most real-world production systems. It will teach advanced solutions to solve these tasks on complex and large-scale data with state-of-the-art tools.
| MSc | |
Algorithmic Fairness, Accountability and Ethics (Spring 2025)This course provides an overview on the topics of bias and fairness in data, models, and algorithms, and on the associated ethical and accountability issues.
| MSc | |
Algorithms and Data Structures, MSc (Spring 2025)This course provides the basic algorithmic tools indispensable for every software developer. | MSc | |
Big Data Processes (Spring 2025)The goal of the course is to make students able to manage and use data sets, e.g. by learning about tools for data interpretation and visualization, and to reason about the use of data in larger contexts. | MSc | |
Computer Systems Performance (Spring 2025)In this course, you will learn how to analyze and improve the performance of a computer system with a specific focus on data-intensive systems. To investigate a system’s performance and come up with solutions to improve it, there are three key things to know. - How to devise a methodology to design experiments so that you can investigate the system’s performance,
- The toolset to run the necessary experiments and collect the results, and
- At least a basic understanding of the systems layers (hardware, operating systems, etc.) to be able to interpret your results and come up with solutions.
This is what we will cover in this course. | MSc | |
Data Visualisation and Data-driven Decision Making (Spring 2025)The course is focused on forming the basis of a data communicator. The students should recognize the various features of the human perception system, and operate around those limitations. We expect a student to be able to create effective visual encodings (charts), data-driven stories, dashboards and storyboards. The course will empower students with the underlying assumptions, guidelines and trappings of visualizing quantitative information. In doing so, the curriculum will put the field of data visualization in context; touching on its history from the first historic examples, right up until the propensity today of misleading people. | BSc | |
Data-Driven Design & Development (Spring 2025)In this course, students learn how to work in data-driven design and development processes and what changes data analysis brings to the design and maintenance of games.
| MSc | |
Data: Law and Ethics (Spring 2025)This course examines the socio-political, ethical and legal contexts of data by investigating a range of recent data controversies. In this course students will learn to critically reflect upon the multiple ways data is articulated as a controversial legal and ethical object. | BSc | |
Enterprise Architecture - MSc (Spring 2025)The course will introduce and cover basic concepts in Enterprise Architecture -an approach to understand, manage and develop business strategy in a complex IT landscape. There will be an introduction to the recognised frameworks and models in Enterprise Architecture.
| MSc | |
Frameworks and Architectures for the Web, MSc (Spring 2025)This course aims to enable students to design and develop websites and interactive Web applications based on standard Web technologies and software frameworks. | MSc | |
Functional Programming (Spring 2025)The subject of the course is functional, declarative programming in general and F# in particular.
| MSc | |
Game World Design (Spring 2025)This course teaches the conceptual foundation and practical implementation of game worlds. | MSc | |
Internet of Things (Spring 2025)This course gives an introduction to IoT as well as practical experience with the design and implementation of end-to-end IoT systems. Practical examples and exercises will predominatly be from domains Energy and Environment. | MSc | |
IT Governance & Quality Management (Spring 2025)The course will provide an understanding of how to analyze an organization's IT Governance & Quality Management (IT governance) and how to restructure the organization's IT governance so that it is in line with the organization's IT strategy. | BSc | |
IT Enabled Process Improvement (Spring 2025)The students will learn theoretical foundations of IT-enabled process improvement and apply these to a real life practical context by working with an organisation. | BSc | |
Large Scale Data Analysis (Spring 2025)Turning the unprecedented amounts of data being collected today into useful information is well beyond the computing power of a single general purpose CPU core. It is, therefore, crucial to know and understand the methods and tools that are able to parallelize and distribute various data analysis tasks in an efficient way on multicore CPUs and/or on a cluster of machines. With this goal in mind, this course first gives an overview of the popular parallel and distributed big data processing platforms. Then, it dives into scaling various machine learning tasks. | BSc | |
Linear Algebra and Probability (Spring 2025)This is a course in mathematics covering linear algebra and basic probability theory. This course is the first course of the Algorithms and Machine Learning specialisations. | MSc | |
Mobile App Development, KSD (Spring 2025)This course gives an introduction to Java/Kotlin development of apps for the Android platform, and an overview of concepts for handling concurrency on mobile devices. | MSc | |
Modelling Systems and Languages (Spring 2025)The goal of this course is to give you a mindset of working with software in an abstract and semi-automated fashion, as in a production process (as opposed to a hand crafting process). | MSc | |
Philosophy of Science and Technology, GBI (Spring 2025)The objective of the course is to introduce students to important philosophical and historical perspectives on science and technology, as well as to more general epistemological and reflexive issues related to business informatics as a social science discipline. Throughout the course, the student will become acquainted with a series of concepts within a selection of thematic fields that can be used to critically interrogate empirical phenomena relating to ‘science’ and ‘technology’.
| BSc | |
Playable Media (Spring 2025)This course is designed to introduce students to designing play and games from the perspective of Critical Design. The goal is to give students theoretical and practical knowledge about play that they can use in different subject areas, from game design and interaction design to software development. | MSc | |
Software Architecture, MSc (Spring 2025)The design, development, and implementation of a software system requires the evaluation of several, often conflicting, aspects of the system and mastery of multiple tools and techniques. The aim of this course is to provide you with knowledge on how to design the architecture of software systems in a structured and systematic way that addresses the required functionality and supports the necessary system qualities. This requires a technical toolbox with concepts, methods, and principles to support the software design, implementation, and evaluation as much as a wider understanding of the context and domain of the system. Beyond the design of software architecture you will also learn about the tools and approaches that are used in recovering the architecture of a system by the analysis of its source code and version control information. | MSc | |
The Digital State (Spring 2025)The course examines the new responsibilities and obligations of state actors as they implement IT systems. It explores how public bodies use and store data, questions the line between public and private companies, and explores political and ethical questions of infrastructure and responsibility during public digitization initiatives. | MSc | |
Co-design (Spring 2025)The main outcome of the course is that students are equipped with an understanding of core theories, concepts and methods in co-design and participatory design approaches, and their historical grounding and development. Students will also have experience from applying co-design methods in a live project with real stakeholders, and reflecting on the process and results.
The course runs for the last time in the current format in Spring 2025 | BSc | |
Network Society (Spring 2025)The course will be offered in English in Spring 2025 and a slight revision of course is expected. Kursets mål er, at de studerende har (1) en grundlæggende forståelse af begreberne data, netværk og dataanalyse; og (2) en værktøjskasse med teknikker og teorier til at diskutere ideen om netværk og data som grundlag for konceptualisering af et netværkssamfund.
The course is offered for the last time in the current format in Spring 2025 ref. the revision of the BDDIT programme | BSc | |
Design af bæredygtige fremtider (Spring 2025)NB: The course is taught in Danish / kurset undervises på dansk The aim of the course is to give the student a basic understanding of how to work with design, innovation and concept development, with an explicit focus on sustainability and regenerative thinking. Based on a specific design case, the students will learn to apply selected methods and approaches to promote ethical aspects and sustainability in an actual design context. Throughout the course, the student will learn to critically reflect upon the impact, ethical issues in and role of digital design in the transition towards a more sustainable future. The course is offered for the last time in the current format in Spring 2025 ref. the revision of the BDDIT programme | BSc | |
Algoritmer og datastrukturer SWU (Spring 2025)This course provides the basic algorithmic tools indispensable for every software developer. | BSc | |
Mobile App Development, BSc (Spring 2025)This course gives a fundamental overview of Android programming concepts and the best practices for mobile app development.
| BSc | |
Psychology of Play and Games (Spring 2025)The objective of the course is to provide students with ways of understanding, articulating and thinking critically about some of the fundamental assumptions about the psychology of games, play and players. | MSc | |
DevOps, Software Evolution and Software Maintenance, BSc (Spring 2025)The course "DevOps, Software Evolution and Software Maintenance" is a BSc elective. In this course, the students will discover all the software engineering activities that take place after an initial software product is delivered or after a legacy system is taken over from a theoretical and practical perspective. Students (in groups) will take over such a system that is live and serving users, they will refactor and migrate it to the languages and technologies of their liking. All subsequent DevOps, software evolution and software maintenance activities will be performed directly on the systems of the students. | BSc | |
DevOps, Software Evolution and Software Maintenance, MSc (Spring 2025)The course "DevOps, Software Evolution and Software Maintenance" is an MSc elective. In this course, the students will discover all the software engineering activities that take place after an initial software product is delivered or after a legacy system is taken over from a theoretical and practical perspective. Students (in groups) will take over such a system that is live and serving users, they will refactor and migrate it to the languages and technologies of their liking. All subsequent DevOps, software evolution and software maintenance activities will be performed directly on the systems of the students. | MSc | |
Introduction to Artificial Intelligence, MSc (Spring 2025)The overall goal of the course is to introduce students to a selection of the most important problem solving and decision support techniques within AI and optimization. | MSc | |
Introduction to Artificial Intelligence, BSc (Spring 2025)The overall goal of the course is to introduce students to a selection of the most important problem solving and decision support techniques within AI and optimization. | BSc | |
Data Intelligence (Spring 2025)The course aims to train the students in conducting a thorough and valid analysis of online data sources with the use of basic programming, statistics and business intelligence tools.
| BSc | |
Programming and Data Processing (Spring 2025)This course is designed to give students a basic introduction to programming and data processing. Students will get a hands-on introduction to the Python programming language and how to work with tabular data. This will enable them to solve simple programmatic tasks as well as to get an idea of what the role of the programmer entails. After the course student will be able to discuss and reflect on challenges and opportunities derived from approaching the world through algorithms. | MSc | |
Ethical Hacking (Spring 2025)This is an applied course on information security. The course focuses on in-depth penetration testing techniques, elements of cryptanalysis and digital forensics, ethical aspects of security and responsible disclosure. | MSc | |
Designing Digital Play (Spring 2025)The purpose of this course is to explore play as an expressive form and creative framework outside of the domain of games. As such, the learning goals and activities are not oriented towards game design. This course will focus on drawing into the digital design domain inspiration and practices from play and computer games. This course is designed to expand the intellectual and professional scope of interaction design students. | BSc | |
How to Make (Almost) Anything (Summer University) (Summer 2025)The course is a hands-on introduction to the tools that are necessary to design and develop physical artefacts. | MSc |
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Applied Artificial Intelligence (Summer University) (Summer 2025)In this course, the students learn how to evaluate, design and prototype products based on latest artificial intelligence technologies. | MSc |
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Geospatial Data Science (Spring 2025)This course provides an introduction into core concepts and applications of data science based approaches to geospatial data analysis. | MSc | |
Functional Programming, SWU (Spring 2025)This course aims to make students proficient in the functional programming paradigm used by languages such as F#, Scala, SML, OCaml, or Haskell. All programs created in the course will be written in F#, developed by Microsoft and incorporated in Visual Studio and the .NET framework. We will relate the functional paradigm to its imperative and object-oriented counterparts, but focus on concepts predominantly found in functional programming languages such as higher-order functions, recursion and tail recursion, immutable data structures, and first-class functions. | BSc | |
Second Year Project: Software Development in Large Teams (15 ECTS) (Spring 2025)In collaboration with industrial partners, students will apply Scrum in practice and reason about its application in a controlled yet realistic environment.
| BSc | |
Program Verification, MSc (Spring 2025)This is a hands-on course that teaches you how to prove that programs are correct. You will get in-depth experience with tools for this task, as well as an understanding of the theory behind them. This course thus equips you to pursue a career in writing safety-critical systems, or in pursuing higher studies in this area. | MSc | |
Program Verification, BSc (Spring 2025)This is a hands-on course that teaches you how to prove that programs are correct. You will get in-depth experience with tools for this task, as well as an understanding of the theory behind them. This course thus equips you to pursue a career in writing safety-critical systems, or in pursuing higher studies in this area. | BSc | |
Graphics Programming (Spring 2025)Students attending this course will be able to implement core algorithms of Computer Graphics. | MSc | |
Foundations of Game AI (Spring 2025)Through this course, the students will learn about the aspects of game programming commonly involving artificial intelligence methods, which methods are used and how to implement them. | MSc | |
Business Process Modelling and Automation (Spring 2025)Most organisations these days rely on business process modelling techniques such as BPMN to document, communicate, and analyse business processes. In recent years, however, advances in technologies have propelled the interest of organisations in automating some of their business processes, using technologies such as Robotic Process Automation, Business Process Management Systems, Adaptive Case Management, Chatbots, and Machine Learning. This course introduces students both to the traditional craft of business processes modelling using state-of-the-art modelling techniques and to the increasingly important area of business process automation. The students learn to build a technological solution that automates a given business process in a real organisation and to design and analyse implementation strategies for the automation project. | BSc | |
Algorithmic Problem Solving, BSc (Spring 2025)Algorithmic problem solving is the art of designing algorithms to solve challenging programming problems. This requires extensive practice in classifying problems, choosing the right data structures, and identifying suitable algorithms. This is very different to a standard algorithm and data structure course, where the focus is on understanding the tools at hand, but not on using them to solve problems. This course bridges the gap between theoretical knowledge and practical solutions to computational problems. | BSc | |
Algorithmic Problem Solving, MSc (Spring 2025)Algorithmic problem solving is the art of designing algorithms to solve challenging programming problems. This requires extensive practice in classifying problems, choosing the right data structures, and identifying suitable algorithms. This is very different to a standard algorithm and data structure course, where the focus is on understanding the tools at hand, but not on using them to solve problems. This course bridges the gap between theoretical knowledge and practical solutions to computational problems. | MSc | |
Foundations of Game AI, BSc (Spring 2025)Through this course, the students will learn about the aspects of game programming commonly involving artificial intelligence methods, which methods are used and how to implement them.
| BSc | |
Reflections on IT (Spring 2025)The course provides a basic introduction to scientific thought and introduces central philosophical perspectives on science, epistemology and technology, including central concepts in scientific methodology. The course puts a special focus on IT technologies, exploring its foundations and ethical implications.
| BSc | |
Cryptography (Spring 2025)This course provides an introduction to the fundamental concepts of cryptography, the practice of protecting information and securing communication in computer systems. We start with classical encryption techniques, and consider modern private-key and public-key crypto systems and study their security against eavesdroppers or attackers, who tamper with network traffic. The course is aimed at students with a background in computer science or mathematics, and will include both theoretical and programming exercises. | MSc | |
Applied Statistics (15 ECTS) (Spring 2025)The course gives an in-depth introduction to the fundamental principles of statistics.
| BSc | |
Introduction to Service Design and Management (Spring 2025)
This course offers a comprehensive exploration of service design and management, equipping students with essential processes, principles, methods, and tools. It focuses on the strategic design and management of services, including digital components, and draws on expertise from various disciplines within service design and management. Through lectures, in-depth case studies, and interactive hands-on exercises, students will examine the characteristics and dynamics of services and service ecosystems. The course aims to deepen students' understanding of how services can be effectively designed, managed, and implemented to deliver substantial value to users, providers, and other stakeholders. | MSc | |
Digital Organizing and Transformation (Summer University) (Summer 2025)This course examines organizations in light of contemporary challenges with digitalization. It explores organizational perspectives on digitalization and cover theories that can help us better understand, and critically reflect upon, such profound challenges, while also offering hands-on approaches to managing them. Furthermore, it investigates questions of the changing nature of work, and themes such as leadership, management, and organizing in order to make students both knowledgeable about, and skilled in the practice of, and engaging with, digital transformation.
| MSc |
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Managing Risk in IT and Cybersecurity, MSc. (Summer University) (Summer 2025)This course provides an introduction to Information Security Risk Management. The course enables students to lead risk assessments, and reflect on the applicability of different techniques for risk assessment and management. | MSc |
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Managing Risk in IT and Cybersecurity, BSc (Summer University) (Summer 2025)This course provides an introduction to Information Security Risk Management. The course enables students to lead risk assessments, and reflect on the applicability of different techniques for risk assessment and management.
| BSc |
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Digital Innovation in Practice (Spring 2025)This course introduces theories and methods of innovation with a particular emphasis on products, services and systems that relate to or involve digital technologies. The course involves in-depth knowledge of innovation types, organizational context, identification of innovation opportunities, strategy and competitive analysis. Through a case-driven engagement with external companies and organizations, the students will develop, evaluate, present and argue for concrete concepts. This course is a new course for the KDDIT 2024 intake. KDDIT students enrolled before 2024 and who has not yet taken Design-driven Innovation course, should sign up for KADDINN1KU Designdrevet innovation (see also transitional provisions) | MSc | |
Qualitative Methods and Reflections (Spring 2025)In this course, students will learn about qualitative research methods and the constitutive elements of qualitative research designs.
| BSc | |
IT & Work Design (7,5 ECTS) (Spring 2025)The students learn to conduct work place studies and analyses through the use of ethnographic methods. | BSc | |
Database and Information Systems Foundations (Spring 2025)The “Database & Information Systems Foundations” course provides a comprehensive introduction to the key concepts and components of modern information systems, including hardware, software, users, and organizations. Students will explore the architecture of database systems, design Entity-Relationship (ER) and relational models, and develop SQL queries for real-world use cases. Additionally, the course covers business process modeling and guides students through the design and implementation of database-driven programs, equipping them with essential skills for building and managing information systems. | BSc | |
Creative Data Visualisation (Spring 2025)Learn to make custom data visualisations by designing with data. Uncover the possibilities of data visualization and discover how to play with data in code. | BSc | |
Digital Economics (Spring 2025)The goal of this course is to equip students to understand how underlying technological and social infrastructures shape the digital economy. | MSc | |
Probabilistic Programming, BDS (Spring 2025)This course introduces basics of Bayesian statistics, Bayesian data analysis, Bayesian learning, and the programming tools that enable automation of these methods. The course emphasizes programmable statistical methods over pen and pencil analytics.
| BSc | |
Advanced Programming with Types (Spring 2025)This course concerns the use and design of advanced type systems for programming. Students will learn how to use dependent types to describe properties of programs, and to use session types to describe communication protocols. Students will also learn how to express a type system using typing rules. | MSc | |
How to make (almost) anything (Autumn 2025)The course is a hands-on introduction to the tools that are necessary to design and develop physical artefacts. | MSc |
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Introduction to Database Systems, MSc SD (Autumn 2025)The course covers fundamental techniques for developing data management and data analytics applications. | MSc |
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Introduction to Database Systems, SWU (Autumn 2025)The course covers fundamental techniques for developing data management and data analytics applications. | BSc |
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Philosophy of Science and Technology, DMD/B-DDIT (Autumn 2025)The main outcome of the course is that students are equipped with an understanding of the most important concepts, themes and positions in philosophy of science, and how they relate to digital design and interactive technologies. Furthermore, the students should learn to reflect critically about how digital design and technology relate to the world at large. | BSc |
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Digital Data Analysis (Autumn 2025)The goal of the course is two-fold. On the one side you will learn how to clean, manipulate, process and visualize data in Python with a specific focus on unstrucured data that is typically produced online. On the other side, you will learn how to formulate hypothesys based on this data that can be used in the context of the evaluation or the re-design of a digital product. | BSc |
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Kvalitative forskningsmetoder og akademisk formidling (Autumn 2025)Kursets mest centrale resultat er at de studerende bliver udstyret med en grundig forståelse af kvalitative forskningstilgange og -metoder og evnen til at anvende kvalitative undersøgelsesmetoder til undersøgelser samt formidling af resultaterne. | BSc |
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Konceptudvikling med virksomheder (Autumn 2025)På dette kursus arbejder de studerende i grupper med at udvikle prototyper på koncepter for digitale løsninger i samarbejde med private eller offentlige virksomheder baseret på relevante teorier, metoder, værktøjer og teknikker, som introduceres på kurset eller ligger i forlængelse af tidligere kurser. | BSc |
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Technical Communication (Autumn 2025)This course gives an introduction to technical communication. It focuses on designing different forms of communication correctly, effectively, and convincingly. There will be a theoretical introduction to the importance and principles of technical communication together with several individual and group based practical exercises. | BSc |
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Software Development and Software Engineering (Autumn 2025)The course is an introduction to software engineering and software development for data science. The goal of the course is to allow students to join professional software engineering teams that include data scientist and data analysts. | BSc |
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Linear Algebra and Optimisation (Autumn 2025)This is a course in mathematics covering linear algebra and analysis (calculus) of functions of several variables. These are perhaps the two areas of mathematics that have found most uses in practical applications. In particular, the course equips the student with mathematical tools necessary for analysis of big data.
| BSc |
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Machine Learning (Autumn 2025)This course gives a fundamental introduction to machine learning (ML) with an emphasis on statistical aspects. In the course, we focus on both the theoretical foundation for ML and the application of ML methods. | BSc |
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Network Analysis (Autumn 2025)Networks are all around us: We are ourselves, as individuals, the units of a network of social relationships of different kinds; the Internet and the highway system can be modelled as networks embedded in space; networks can be also entities defined in an abstract space, such as networks of acquaintances or collaborations between individuals. This course aims at providing the computational tools to study these networks and form the basis of network scientists. The final objective is to have the students to solve practical network problems, to be able to perform a network analysis, and to fully appreciate the difficulties of a network problem in real-world data. The course will have a special focus on social networks. | BSc |
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Operating Systems and C (Autumn 2025)This hands-on course teaches you how the design, implementation, and implications, of systems software influence your task as an application programmer. You will get an in-depth understanding of how hardware and the operating system work; in the process, you will learn how computers actually work, and what actually happens when you run an application. This enables you to fully exploit underlying hardware and systems software to write high-quality software. | BSc |
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Security and Privacy (Autumn 2025)This is an introductory course on information security and privacy for data science. The course focuses on aspects of principles and techniques of protecting the security and privacy of data that is collected for data analysis. | BSc |
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Enterprise Systems and Information Management (Autumn 2025)Contemporary organizations critically rely on enterprise systems to support their business processes. In this course, students learn to analyze work systems in organizations and to identify ways for improving them. Students acquire these skills by analyzing a real-world work system and by gaining hands-on experience suggesting requirements for a sociotechnical system that supports the work system. | BSc |
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IT-Enabled Supply Chain Management (Autumn 2025)The course will enable the students to analyse a supply chain and identify solutions where information technology can optimise the collaboration between actors in the supply chain network. | BSc |
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IT, Globalisation and Culture (Autumn 2025)In this course, students will learn to analyse and reflect upon the role of IT and culture in global collaborations. | BSc |
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Organisation and Process Theory (Autumn 2025)The overall aim of the course is to enable students to conduct an organizational analysis. The course introduces students to particular forms of organizational analysis as well as a broad spectrum of organization theories. More specifically, the aim is to enable students to draw on organizational theory in the analysis of what we nominally characterize as events; the purposeful organization of concerted action towards specific goals, and to situate this approach in a broader landscape of organizational theories. | BSc |
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Foundations of Computing - Discrete Mathematics BSc (Autumn 2025)Discrete Mathematics covers different topics in mathematics, which support many disciplines in software development. The goal of this course is to give the students the ability to apply formal reasoning. The first part of the course is dedicated to learning how to construct logical proofs, proofs on set theory and proofs by induction, while the second half of the course builds upon the first part to cover number-theoretical concepts, graphs, combinatorics, discrete probabilities, and models of computation. The student will obtain the fundamental skill of computational thinking and will be better equipped to tackle technical subjects throughout the curriculum. The course is an introduction to discrete mathematics as a foundation to work within the fields of computer science, information technologies, and software development. The course develops the necessary terminology and conceptual tools needed for later courses. This includes: - formal reasoning, proofs, logic, set theory, sequences and sums
- number theory, combinatorics and (discrete) probability theory
- induction, recursion and counting
- relations and functions
- basic graph theory, language theory
- theory and models of computation, such as finite state machines, regular expressions and grammars
The course aims at providing a basic understanding of the mathematical foundations of computer science. | BSc |
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Distributed Systems, BSc (Autumn 2025)This course teaches the theoretical and practical foundations for distributed computing. | BSc |
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Analysis, Design and Software Architecture (Autumn 2025)The Analysis, Design, and Software Architecture course (BDSA) is part of the Bachelor in Software Development (BSWU). In this course, students will discover software engineering from a theoretical and practical perspective. Students will learn about the history of software engineering, software processes, and will be exposed to concepts, principles, techniques, tools, and technologies related to object-oriented analysis, design, and programming. The course comprises of two lecture blocks and three exercise blocks. Weekly exercises will be given to students to gain hands on practice of the concepts taught in class. | BSc |
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Advanced Algorithms (Autumn 2025)This course will introduce students to techniques for solving complex programming tasks arising in modern IT systems. The focus in the course is on algorithm design and analysis. | MSc |
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Advanced Programming, MSc CS (Autumn 2025)This course addresses advanced programming techniques, with a special attention on functional programming and its applications. The course is a perfect balance of theory and practice, with focus on the Scala programming language. | MSc |
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Advanced Software Engineering 15 ECTS (Autumn 2025)The course is designed to enable the student to engage with future developments in software engineering by providing a forum for the critical discussion of processes, methods, tools, and architectures. By combining theoretical insights from state-of-the-art research and hands-on experience with advanced tools and techniques, students gain a comprehensive understanding of software engineering.
| MSc |
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Algorithm Design, MSc CS (Autumn 2025)This course is an advanced course on algorithms which builds on top of an introductory course on algorithms and data structures. The course focuses on advanced techniques for identifying and solving computationally hard problems and on how to adapt such techniques to real-world scenarios. | MSc |
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Practical Concurrent and Parallel Programming, MSc CS (Autumn 2025)This course is about that part of programming that focuses on parallelism and concurrency. It covers concurrency concepts that are universal to any programming language. The Java programming language is the main language used for practically addressing such aspects; and Erlang is also used for a topic in the course.
| MSc |
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Designing Aesthetic User Experiences (Autumn 2025)Creating aesthetic user experiences requires designers to pay attention to all the subjective, sensorial and emotional qualities that can make a design delightful, pleasant and interesting to users. This course offers a theoretical and methodological foundation for thinking about aesthetics in your design projects. The course is structured around practical design projects addressing challenges from external partners in the cultural sector and/or the creative industries. | MSc |
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Blockchain Economics (Autumn 2025)The goal of the course is to address current and future potentials of blockchain-based technologies for a range of (inter-)organizational purposes in a digital economy.
| MSc |
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Computational Literacies (Autumn 2025)
This course introduces key concepts from computing and provides critical and analytical skills for students to engage with a range of computational formats, artifacts, and genres of technical communication. The course enables students to navigate complex technical challenges and meaningfully participate in debates regarding the management of IT. Students learn to understand technical challenges in computing within in organizational, historical, and cultural context. The course is at an introductory level and is well-suited for students with limited or no technical background. | MSc |
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Navigating Complexity: Mapping, Visualisation and Decision-making (Autumn 2025)The course will teach students to analyse complexity within an empirical case that explores a current topic within the fields of science, technology, and innovation. | MSc |
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Reassembling Innovation (Autumn 2025)The goal of the course is to address the complex entanglements of IT, innovation and society.
| MSc |
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The Digital State in Practice (Autumn 2025)The course zooms in on the ongoing digital transformation of the Danish public sector and provides analytical and methodological tools for understanding and working with digitalization processes across governmental institutions and the private organisations that underpin their transformation. | MSc |
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Advanced Topics in Game Studies (Autumn 2025)Students learn to analyse and critically engage with games and related theoretical topics. | MSc |
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Game Programming (Autumn 2025)This course teaches fundamental techniques for using C++ efficiently to implement 2D and 3D games. | MSc |
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Games & Culture (Autumn 2025)The course conveys the necessary tools for analysing games and player cultures from a comprehensive variety of angles, ranging from classic play theories and semiotics to transmedia and gender studies. It engages with games and play from a historical perspective, establishing a common ground for communication about games and player cultures among students from different backgrounds. | MSc |
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Making Games (Autumn 2025)This course teaches the design and development of video games from prototyping to effective teamwork across disciplinary boundaries. It also covers the most important technical and theoretical foundations of game development. | MSc |
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Play Lab (Autumn 2025)This course teaches how to explore technologies for their potential in regards to play. | MSc |
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Programming for Designers (Autumn 2025)The course introduces basic theoretical and practical approaches to programming and game engine functionality using the C# language. It is intended for students with little or no prior experience with programming. The course teaches how to build games-related software using a game engine (Unity engine). The teaching emphasizes small programming exercises. | MSc |
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Technical Interaction Design (Autumn 2025)This course teaches the foundation of constructing user interfaces for computer systems. This problem is likely harder than you might think: computer programs very often perform complex tasks, yet users demand and need simple interfaces. Producing such interfaces requires an understanding of both the user—e.g., what are they trying to accomplish? what do they know already?—and the technology—e.g., how can we implement a in a given UI framework the interactions that we want to present the user with, how do we interact with a backend API? In this course, students will develop both their design knowledge, but also their technical skills. | MSc |
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Applied Algorithms (Autumn 2025)In this course, you will learn how to implement some widely-used algorithms as fast and scalable programs on modern hardware, and how to evaluate your implementation using appropriate test cases and performance experiments. | MSc |
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Applied information Security (Autumn 2025)This is a hands-on course that teaches the basic principles of computer security. You will get in-depth experience with cyberattacks, and how to prevent them. The course projects enable you to personalize the course to match your unique background. | MSc |
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Big Data Management (Technical) (Autumn 2025)This course addresses the technical issues that emerge during the big data life cycle including collection, management, processing, and analytics. We discuss modern approaches to organising and reasoning about large, fast growing and diverse data-sets. We cover the principles of big data analysis, and illustrate a hands-on approach to big data modelling and management. | MSc |
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Data Mining (Autumn 2025)This course gives an introduction to the field of data mining. The course is relatively practically oriented, focusing on applicable algorithms. Practical exercises will involve both use of a freely available data mining package and individual implementation of algorithms. | MSc |
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Discrete Mathematics, MSc SD (Autumn 2025)The course is an introduction to discrete mathematics as a foundation to work within the fields of computer science, information technologies, and software development. | MSc |
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Distributed Systems MSc (Autumn 2025)This course teaches the theoretical and practical foundations for distributed computing. | MSc |
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Advanced Natural Language Processing and Deep Learning (Autumn 2025)In this course students will learn to apply modern state-of-the-art solutions for natural language processing problems. We go beyond simple classification tasks, and tackle more advanced types of tasks, like generation and structured prediction.
| MSc |
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Advanced Network Science (Autumn 2025)Networks are all around us: We are ourselves, as individuals, the units of a network of social relationships of different kinds; the Internet and the highway system can be modelled as networks embedded in space; networks can be also entities defined in an abstract space, such as networks of acquaintances or collaborations between individuals. This course aims at providing the computational tools to study these networks and form an advanced understanding of the current state of the art of network science. The final objective is to have the students master computational techniques to solve advanced network problems, to be able to contribute to the development of network analysis, and to appreciate the limitations and future developments of scientific papers dealing with network problems in real-world data. | MSc |
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Programmer som data (Autumn 2025)Kursets formål er at give en dybere praktisk og teoretisk forståelse for implementation af programmeringssprog, herunder især maskinmodellen bag Java, C# og F#. Kursusemnerne omfatter leksikalsk analyse, grammatikker, syntaksanalyse, abstrakt syntaks, stakmaskiner, virtuelle maskiner, mellemkodesprog (inklusive JVM og .NET CLI), og continuations. Endvidere implementering af fortolkere, typeinferens, oversættere for en delmængde af C og for en delmængde af SML, garbage collectors, og kodegenerering for virtuelle maskiner og maskinkode (fx x86). | BSc |
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Security 1, BSc (Autumn 2025)This is an introductory course on information security. The course focuses on introductory aspects of analysis, design and implementation of secure software.
| BSc |
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Introduction to Machine Learning (Autumn 2025)The course is an introductory course to machine learning its mathematical foundation.
We recommend that you do not take this cour if you have already taken the course Machine Learning on the Bachelor programme in Data Science at ITU or a similar.
| MSc |
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Operating Systems and C, MSc SD (Autumn 2025)This hands-on course teaches you how the design, implementation, and implications, of systems software influence your task as an application programmer. You will get an in-depth understanding of how hardware and the operating system work; in the process, you will learn how computers actually work, and what actually happens when you run an application. This enables you to fully exploit underlying hardware and systems software to write high-quality software. | MSc |
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Værdier og etik i design (Autumn 2025)Dette kursus vil sætte de studerende i stand til at forstå, artikulere og arbejde kritisk med værdier og etik i avancerede og komplekse design kontekster. | MSc |
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Software Ecosystems - combining user centered design, organisational and technical dimensions (Autumn 2025)Today we rarely use programs that are developed to fit one specific customer. When we play games, use business systems for administration, or download apps to our phones, we use software that is part of software ecosystems: software products that are configured to fit a specific business context; platforms that allow sharing of specific kinds of software; or software as a service. Examples of software ecosystems have developed around software products, like game engines, or enterprise resource planning (ERP or CRM) software, integrated development environments like visual studio and platforms like the Android operating system. In this course you explore software ecosystems from UX design, organizational and technical perspectives. To this end you will analyse a software ecosystem together, propose an improvement related to the ecosystem, and support your proposal with a prototype and / or other design artefacts. | MSc |
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Data, Automation and Social Justice (Autumn 2025)This course enables students to understand the effects of automated digital systems on the way a welfare society is governed and experienced by social groups and individuals. | MSc |
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IT and Green Transitions, MSc (Autumn 2025)The course aims at giving the students an introduction to the complexities of determining how processes of digitalisation and green transitions are entangled.
| MSc |
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IT and Green Transitions, BSc (Autumn 2025)The course aims at giving the students an introduction to the complexities of determining how processes of digitalisation and green transitions are entangled.
| BSc |
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High-Performance Game Programming (Autumn 2025)Students attending this course will study how to design game code that is scalable and takes into account hardware and software resources. | MSc |
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Advanced Applied Statistics (Autumn 2025)This course introduces fundamental and advanced concepts in statistics and probability from a data-science perspective. The aim of the course is for the student to be familiarised with probabilistic and statistical methods that are widely used in data analysis.
| MSc |
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Digital Organizing and Transformation (Autumn 2025)This course examines organizations in light of contemporary challenges with digitalization. It explores organizational perspectives on digitalization and cover theories that can help us better understand, and critically reflect upon, such profound challenges, while also offering hands-on approaches to managing them. Furthermore, it investigates questions of the changing nature of work, and themes such as leadership, management, and organizing in order to make students both knowledgeable about, and skilled in the practice of, and engaging with, digital transformation.
| MSc |
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Foundations of Probability (Autumn 2025)The course gives an in-depth introduction to fundamental principles of probability theory. | BSc |
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Artificial Intelligence for Games and Simulations (Autumn 2025)The goal of the course is to teach the understanding, design, implementation, and use of modern artificial intelligence (AI) techniques for generating efficient, intelligent behaviors in games and other simulation environments. A particular focus is given to techniques applied to agent-based simulations.
| MSc |
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Situeret teknologi (Autumn 2025)Dette kursus vil give de studerende teoretiske og metodiske forudsætninger for at studere, analysere og forstå interaktioner og relationer mellem mennesker og digitale teknologier i situeret praksis. Indenfor rammen af antropologiske og sociologiske teknologistudier, vil kurset træne de studerendes evner til at udføre empiriske studier, samt at analysere og reflektere kritisk over implikationer af digitale teknologier I specifikke situationer og sammenhænge. | MSc |
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Business Foundations (Autumn 2025)The course is for students looking for an introduction to strategic management to be able to understand and navigate todays and tomorrows business world.
The student will be given a toolbox of academic frameworks and models to be able to analyze current business situations and propose strategic changes. Through case studies and group work the student will become familiar with the business language which will help to bridge the gap between business and technology. | BSc |
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Society & Technology (Autumn 2025)The overall aim of the course is to enable students to understand and analyse relations between society and technology.
| BSc |
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Cryptographic Computation and Blockchain, BSc (Autumn 2025)This course will introduce basic concepts and techniques for designing and analysing cryptographic protocols with a focus on privacy preserving computation and blockchain protocols. We will cover both the main constructions of such protocols and the theoretical models used for proving their security. | BSc |
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Cryptographic Computation and Blockchain, MSc (Autumn 2025)This course will introduce basic concepts and techniques for designing and analysing cryptographic protocols with a focus on privacy preserving computation and blockchain protocols. We will cover both the main constructions of such protocols and the theoretical models used for proving their security. | MSc |
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Perspectives on Games (Autumn 2025)The course presents the students with several perspectives on game analysis and design. The unique aspect of the course is the combination of theoretical and practical approaches. Every unit familiarizes the students with the newest development in game studies and follows it with a presentation by a practitioner. This shows the students the interplay between the academic and industry perspectives. The students must also use the topics raised during the lectures as inspiration for their game creation or their original analyses of game elements.
| MSc |
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AI security: Principles, Practices and Policies, BSc (Autumn 2025) | BSc |
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