In this course, we teach both advanced machine learning (ML) approaches and hands-on skills for applying these approaches to data science problems.

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.

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.

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.

Dette kursus introducerer til teorier og metoder om designdrevet innovation med særlig vægt på produkter, tjenester og systemer, der vedrører eller involverer digitale teknologier. Kurset er organiseret omkring spørgsmål om samfundsmæssig og erhvervsmæssig innovation og indebærer dybtgående videnstyper af innovation, identifikation af innovations muligheder, strategi og konkurrencedygtig analyse, udvikling af forretnings modeller. Gennem et case-drevet engagement med eksterne virksomheder, vil de studerende udvikle, teste, præsentere og argumentere for konkrete koncepter.

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.

This course aims to enable students to design and develop websites and interactive Web applications based on standard Web technologies and software frameworks.

The subject of the course is functional, declarative programming in general and F# in particular.

This course considers the nature as well as the challenges associated with ‘global project management and IT’.

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.

The students learn to conduct work place studies and analyses through the use of ethnographic methods.

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.

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 various data analysis tasks in an efficient way on multicore CPUs and on a cluster of machines.

With this goal in mind, this course first gives an overview of the popular parallel data processing platforms. Then, it dives into parallelizing various machine learning tasks.

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’. 

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.  

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.

This course gives a fundamental overview of Android programming concepts and the best practices for mobile app development.

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.

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.

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. 

The objective of this course is to learn the fundamentals of user experience design and interface design. Basic theories, methods and techniques from user experience design and interface design are applied in group design exercises.

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.

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.

This course provides the basic algorithmic tools indispensable for every software developer.

This course provides the basic algorithmic tools indispensable for every software developer.

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 activities enable you to personalize the course to match your unique background.

The course is for students looking for an introduction to entrepreneurship, to develop business understanding and learn the startup development processes. 

Students will be given a toolbox of academic frameworks and models to develop business in multiple situations and propose strategic changes to overcome them. Through case studies and group work the students will become familiar with business language which will help to build a bridge between business and technology.

The course is an iteration of the Business Foundation course. This means you cannot register for this course if you have passed the Business Foundations course and vice versa.

In collaboration with industrial partners, students will apply Scrum in practice and reason about its application in an environment as realistic as possible.

Digitalization is a catalyst for transformation. This course provides a toolbox of theories and practical perspectives on how to enable and implement IT-enabled change.

This is a new course title for KADADES1KU Data Design

The course will enable the students to apply tools and methods for data visualizations and to critically reflect on data visualizations as a socio-technical process.

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. 

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. 

A report with the findings of the project, Github repository with analysis code Mixed exam 1 : Individual and joint student presentThrough 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.

Learn to make engaging, custom data visualisations by designing with data, illuminating patterns, and ultimately create meaning from tables and numbers.

Verden ændrer sig og i dag er der mere end nogensinde fokus på bæredygtighed - både i forhold til vores klima og miljø, i forhold til at få skabt livsbetingelser, der muliggør et arbejds- og privatliv i balance. Udviklingen af anstændige jobs og ansvarlig produktion går hånd i hånd med den overordnede klimaindsats, som er grundlæggende kriterier, hvis vi skal bringe Danmark i spidsen for udviklingen af fremtidens bæredygtige virksomheder.

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.  

This course provides the necessary tools for analysing systems and security protocols.

Dette kursus giver den studerende en bred indføring i og forståelse for interaktionsdesign, dets kernebegreber og perspektiver. Kurset bygger på en kombination af designteori og begreber præsenteret gennem et stort repertoire af designeksempler der tilsammen dækker de mest gængse perspektiver indenfor faget.

The objective of the course is to learn how to analyze and visualize quantitative data produced by digital platforms. The course is also intended to be an introduction to the R language for data analysis and to the basics of the Grammar of Graphics (as implemented in the R package ggplot) for data visualization.

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.

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.

The overall aim of the course is to introduce students to organisation and process theories. More specifically, the aim is to enable students to draw on such theories in the analysis of what we nominally characterize as events; the purposeful organization of concerted action towards specific goals.

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

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.

In this course, you will both learn state-of-the-art techniques that power state-of-the-art data-intensive applications and systems running on modern hardware and get to apply these techniques on a modern data-intensive system.

This course introduces Machine Learning methods and how they are used in active research. Methods will be described in a way to enable you to select the suitable tool for given application, and adapt accordingly.

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.

This course introduces students to the broad field of robotics predominately from an artificial intelligence perspective.

You will take this course as part of the security specialization.  The course is designed to prepare you to write a master thesis in security and give you the background to excel.  The knowledge you gain in this class will allow you to write better and more secure software that can also run reliably in adversarial environments.   You must have taken Security 1 and Security 2 as well as Discrete Mathematics and a programming course to be admitted to this course.

The purpose of this course is to give a thorough understanding of innovative processes, methods, and tools for software engineering as well as an introduction to a number of theoretical concepts that allow you to reflect on how those processes, methods, and tools support software engineering as a cooperative activity. The course is designed to enable the student to embrace future methodological developments in software engineering. The course combines theoretical reflection of software engineering and hands-on engagement with industrial software engineering practice.

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.

This course is about that part of programming that focuses on parallelism and concurrency. The Java programming language is the language used for practically addressing such aspects.

This is an introductory course on information security. The course focuses on introductory aspects of analysis, design and implementation of secure software.

The course will teach students to analyse complexity within an empirical case that explores a current topic or controversy within the field of science, technology, and innovation.

The goal of the course is to address the complex entanglements of IT, innovation and society.

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.

Students attending this course will study some of the core algorithms and systems related to game development.

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.

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).

This is an introductory course on information security. The course focuses on introductory aspects of analysis, design and implementation of secure software.

The course focuses on system programming concepts (I / O, network programming and concurrent programming), and their implementation in C. The course deals with how hardware, operating system and the compilation process of programs are related. During the course, students will design and implement a simple Linux kernel module in C.

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.

Today we are hardly using programs that are developed to fit one specific customer. If 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 for 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 or a new development related to the analysed ecosystem and support your proposal with a prototype and / or other design artefacts.

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.

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.

The course aims at giving the students an introduction to the complexities of determining how processes of digitalisation and green transitions are entangled.

The course aims at giving the students an introduction to the complexities of determining how processes of digitalisation and green transitions are entangled.