Enkeltfagskurser

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.

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.

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 goal of the course is to teach ‘Enterprise Architecture’, a recognised approach for understanding, managing, and developing a practice, which analyses areas of common activity within or between organisations, where information and other resources are exchanged to guide future states from an integrated viewpoint of strategy, business, and technology.

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.

The course covers fundamental techniques for developing data management and data analytics applications.

The course covers fundamental techniques for developing data management and data analytics applications.

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 provide a set of coherent concepts for critical evaluation of the theoretical and methodological basis of research traditions in the information sciences. The course introduces students to important philosophical and historical perspectives on science and technology, as well as to more general epistemological and reflexive issues relating to natural and social science disciplines.

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 main outcomes of the course are that students are equipped with (1) a basic understanding of concepts of data, networks and data analytics; and (2) a toolbox of techniques and theories to discuss the idea of networks and data as a basis for conceptualizing a network society.

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.

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 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. 

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.

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.

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 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.

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 provide a set of coherent concepts for critical evaluation of the theoretical and methodological basis of research traditions in the information sciences. The course introduces students to important philosophical and historical perspectives on science and technology, as well as to more general epistemological and reflexive issues relating to natural and social science disciplines.

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 main outcomes of the course are that students are equipped with (1) a basic understanding of concepts of data, networks and data analytics; and (2) a toolbox of techniques and theories to discuss the idea of networks and data as a basis for conceptualizing a network society.

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.

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 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. 

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.

To transform the sheer amount of complex data into timely discoveries that influence the society, data-intensive systems (including database system and machine learning platforms) must utilize the full processing power offered by modern servers.

In this course, you will learn how to design, implement, and evaluate new components of a production-grade open-source data-intensive system. You will learn the techniques for data management on modern hardware (multi-cores, microsecond-scale storage, and 100 GBE) and apply them with hands-on experience with the internals of an open-source 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.

The course covers fundamental techniques for developing data management and data analytics applications.

The course covers fundamental techniques for developing data management and data analytics applications.

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 a software perspective.

You will take this course as part of the security specialization.  The course will prepare you to develop  software that must run reliably and securely 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.

The Analysis, Design, and Software Architecture (BDSA) course is part of the Bachelor in Software Development (BSWU). In this course, the 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 two exercise blocks. Weekly exercises will be given to students to gain hands on practice of the concepts taught in class.

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 this course is to enable students to understand and participate in IT development cycles. 

The course is at introduction level, and well-suited for student with limited or no technical background.

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.

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

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.

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.

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 is a practice-based course where the students will learn how to manage sustainability.

The world is facing severe economic and ecological challenges in relation to climate change, rising population and not least a growing middle class. The International Panel for Climate Change, IPCC, has given us 12 years to act and reduce CO₂ emissions. In a Danish context this means that we should reduce our average per capital CO₂ emission from 17 tons to 2-3 tons. This challenges politics, innovation, technology development and not least social behaviour. Denmark has made a national goal to be CO₂ neutral in 2050 (with no plan how to do it yet), and the City of Copenhagen has made a climate plan aiming to be CO₂ neutral in 2025.

In this course the students will be introduced to politics and technological development around sustainable transitions. The course will be planned around a number of specific real-life cases within e.g. smart city development, CO₂ accounting, smart electricity, and waste management. The case owners will pose concrete challenges for the students to work on. The students will work in groups proposing conceptual solutions and discussing the chosen cases. The case owners will help the students get access to relevant data and stakeholders, just as they will be giving the students feedback during the process. The cases include challenges around managing sustainable development. The conceptual solutions may include strategy development, conceptual design solutions, organising of partnerships, and guidelines for politics and citizens involvement. Besides working practically on the challenges, the students will have to discuss the case and their own solutions through literature from innovation studies, design theory, and social science and technology studies.

After the course the students will have hands-on experience and a basic understanding of work practices around sustainable development in the real world. They will be better qualified to  contribute to concrete solutions for city planning departments, environmental companies, and other relevant actors within sustainable development.

Furthermore, the cases at the course may also open possible access to further BA thesis work. 

This course teaches the theoretical and practical foundations for distributed computing.

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 enable students to understand the interplay between IT and organizational change, and understand strategies for managing organizational change processes.

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 visually quantitative digital data. The course is developed using the R language for data analysis and the Grammar of Graphics (as implemented in the R package ggplot) for data visualization.

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.