Enkeltfag på bachelorniveau

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

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

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.

Revideret kursus for BDDIT 2024. Erstatningskursus for tidligere BDDIT optag 

Formålet med kurset er at give de studerende en grundlæggende forståelse for kvantitative metoder og deres anvendelse i både forskning og designpraksis.

Contemporary organizations critically rely on enterprise systems and digital platforms to support and transform their business processes. In this course, students learn to analyze work systems within 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.

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 computer systems 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 at the lowest level 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).

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.

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

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.

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.

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

New mandatory course for BDDIT 2026. Redesigned version of Philosophy of Science and Technology, DMD/B-DDIT (last offered Autumn 2024).  

The course provides a basic introduction to philosophical and ethical problems related to digital design. The course puts a special focus on digitality, exploring its foundations, ontology, and ethical implications.

This course examines the ethical contexts of data as socio-political phenomena. In highlighting the various ethical dilemmas that can arise in data saturated worlds, the course encourages students to contextualize, critique, and reflect upon how data are generated, for whom, and to what effects. It guides students in this endeavor by adopting a critical data studies approach focused on analyzing the structural conditions through which data emerge and have serious effects on the world. The course supports students in conducting an ethical analysis of a contemporary data dilemma arising within the public and private sectors. 

This course introduces students to business process improvement and automation, combining classic approaches such as Lean and Business Process Reengineering with emerging technologies like low-code automation, RPA, and generative AI. Through hands-on exercises and an industry project, students learn to model, analyze, improve, and automate processes while addressing implementation, governance, and sustainability challenges.

This course introduces students to quantitative methods in the social sciences, with a focus on information systems and business research. Students learn to make valid statistical inferences from data, critique and design quantitative research, and apply business analytics and machine learning techniques to support organizational decision-making.