Enkeltfag på bachelorniveau

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.

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 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

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

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 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 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.

In collaboration with industrial partners, students will apply Scrum in practice and reason about its application in a controlled yet realistic environment.

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.

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.

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 course gives an in-depth introduction to the fundamental principles of statistics.

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.

In this course, students will learn about qualitative research methods and the constitutive elements of qualitative research designs.  

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.

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.

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.

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.

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 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.

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

The course gives an in-depth introduction to fundamental principles of probability theory.

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.