Enkeltfagskurser

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 is a complete 15 ECTS course on Machine Learning. Building on the math knowledge acquired from the course Linear Algebra and Probability, students will be introduced to Machine Learning during the first part of the course. In the second part, recent machine learning research will be addressed.

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.

This course aims at making students proficient in a wide range of skills required to develop tools that automatically analyse software and to use tools to prove correctness of software according to formal specifications. Both of these techniques are employed in modern software development to ensure software quality and security in the face of ever-increasing complexity.

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.

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.

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.

De studerende får indsigt i, hvordan der arbejdes strategisk og praktisk med offentlig digitalisering, og hvilke muligheder og udfordringer dette giver. Teori og indhold er hentet fra forskning i den offentlige sektor, men er også relevant for den private sektor, især større virksomheder.

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

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.

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.

This course presents central concepts and discussions within the junction of business, management, technology and sustainability as well as the role of IT in sustainable transitions. The course is based upon the investigation of real-life cases, with the supplement of literature, theoretical frameworks and exercises. The students work in groups to create a conceptual solution to the challenge posed by a chosen case, presenting it in a synopsis and an oral group exam.

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 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.

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.

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).

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

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

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.

Kurset er for de, som gerne vil opnå indsigt i, hvilke dilemmaer, der er forbundet med a) ledelse af bæredygtighed (og IT), og b) hvordan IT kan produceres og anvendes bæredygtigt.

In this course, you will learn how to evaluate the performance of a computer system.

The course combines a focus on low-level system components (hardware, operating system, etc.) with the analysis of complex data systems.

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.

The course will provide an overview of popular Web technologies and frameworks, with a particular emphasis placed on front-end (client-side) development.

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.

Kurset tager udgangspunkt i begrebet netværk. At udforske dette begreb er helt centralt for at forstå samtiden, da det i høj grad organiserer den måde vi forestiller os hvad teknologi er og kan. Dermed er det en vigtig grundpille for digitalt design.

The aim of the course is that the student gains a basic understanding of how to work with design, innovation and concept development of digital design, based on an ethical and sustainable mindset. During the module, the student will be introduced to a number of tools and methods used within design thinking and innovation. The module content varies between theory, methods and hands-on work followed by discussions and reflections.

At the beginning of the course, the student will be introduced to ethical and sustainable approaches and paradigms as well as underlying theories.

Through design exercises the student will continuously reflect on the impact and consequences of the choices in concept- and design development. Hence, the student gains competences in theoretical and philosophical contextualisation in relation to ethical and sustainable design thinking.

The students will learn techniques for identifying and modelling flexible and efficient business processes and workflows.

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

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

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, both human and non-human.

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.

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 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 will focus on educating participants in blockchain technology. The students learn to develop conceptual as well as practical solutions as well as how to generate new theoretical insights based upon these.

De studerende får indsigt i, hvordan der arbejdes strategisk og praktisk med offentlig digitalisering, og hvilke muligheder og udfordringer dette giver. Teori og indhold er hentet fra forskning i den offentlige sektor, men er også relevant for den private sektor, især større virksomheder.

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.

This course presents central concepts and discussions within the junction of business, management, technology and sustainability as well as the role of IT in sustainable transitions. The course is based upon the investigation of real-life cases, with the supplement of literature, theoretical frameworks and exercises. The students work in groups to create a conceptual solution to the challenge posed by a chosen case, presenting it in a synopsis and an oral group exam.

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.

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 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.

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 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 is a complete 15 ECTS course on Machine Learning. Building on the math knowledge acquired from the course Linear Algebra and Probability, students will be introduced to Machine Learning during the first part of the course. In the second part, recent machine learning research will be addressed.

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.

This course aims at making students proficient in a wide range of skills required to develop tools that automatically analyse software and to use tools to prove correctness of software according to formal specifications. Both of these techniques are employed in modern software development to ensure software quality and security in the face of ever-increasing complexity.

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.

Understanding creative work as processes that take place within organizational structures, the course focuses on the simultaneously constraining and enabling ways these structures influence creativity and innovation.

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.