Each specialisation profile consists of a number of elective courses and projects, which we recommend you choose from if you wish to specialise in the relevant research area.
To the extent possible, we aim to ensure that courses within the same specialisation profile do not overlap in times of classes if you follow the recommended course of study within the standard time limits.
Algorithms are at the core of computer science and the recent popularity of the word "algorithms" is well deserved. In fact, what is often referred to as "intelligence" in systems is really huge amounts of data combined with advanced algorithms for searching and computing based on these data.
Algorithms is a focus area at SDU, with an unusually large and strong research group and a large variety of courses in the area.
In addition to offering expertise in concrete application areas, a solid background in algorithms makes it easy to enter other subareas of computer science. In a fast-moving field such as computer science, the ability to adapt to ever-changing circumstances is important for a successful career.
All the courses that we offer within this area require knowledge of algorithms and data structures, as well as basic discrete mathematics. Some courses have further academic preconditions. Please see the individual course descriptions.
Recommended autumn courses
- DM817: Network Programming: Theory and Applications (10 ECTS)
- DM840: Algorithms in Cheminformatics (10 ECTS)
- DM841: Heuristics and Constraint Programming for Discrete Optimization (10 ECTS)
- DM860: Online algorithms (10 ECTS)
- MM855: Introduction to Graph Theory(5 ECTS)
- MM856: Graph theory (10 ECTS)
Recommended spring courses
We recommend that you choose either DM871: Linear and Integer Programming (5 ECTS) or DM872: Mathematical Optimization at Work (5 ECTS).
Additionally, we recommend that you choose from among the following courses:
- DM803: Advanced data structures (10 ECTS)
- DM846: Logic for Computer Science (10 ECTS)
- DM852: Introduction to Generic Programming (5 ECTS)
- DM891: Algorithms under Stochastic Uncertainty (5 ECTS)
Examples of previous thesis project titles
- European football placement problems - complexities and exact solutions
- On-line graph colouring
- Aircraft routing
- Lattice-based cryptography
- Nearest neighbour search in high-dimensional spaces
- Theoretical aspects of computer-aided chemical synthesis design
Modern digital systems are no longer single machines operating on their own, but rather complex entities consisting of many different agents working semi-independently and interacting with each other.
This specialisation profile focuses on understanding, working with, and programming such complex and distributed systems (Cloud Computing). It combines different expertise ranging from cryptography to logic and programming languages to make the study of systems precise and safe (Cybersecurity). It also explores the usage of industrial tools that fully automate system deployment in efficient and safe ways.
Cybersecurity and Cloud Computing is a dynamic and growing research field at SDU, in which researchers are excited about taming the complexity of big, highly interacting and distributed systems. We approach the research problems in our area from different angles, ranging from the more theoretical to the more applied perspectives, and have strong ties to industry.
Recommended autumn courses
- DM885: Microservices and Dev(Sec)Ops (10 ECTS)
- DM886: Cryptographic Engineering (5 ECTS)
Recommended spring courses
- DM861: Concurrency Theory (10 ECTS)
- DM880: Logic for Computer Science (5 ECTS)
- DM883: Distributed systems (5 ECTS)
Examples of previous thesis project titles
- Foundational aspects of choreographic programming
- A formal programming model for Bitcoin transactions
- Packaging microservices
As of now, there are four fundamental forces in nature: the weak force, the strong force, electromagnetism and gravity. The first three of them are described by so-called gauge quantum field theories, and gravity by the theory of general relativity.
The goal of particle physics is to study in depth these interactions among the fundamental blocks of matter (i.e. quarks and leptons) and answer some exciting riddles such as the origin of mass. There are strong indications that there could be new fundamental forces in nature. The Universe is filled with dark matter, which is a mysterious form of non-luminous matter roughly five times more abundant than ordinary matter.
Currently, highly ambitious scientific experiments around the world are unveiling Nature’s innermost secrets. On 4 July 2012 the Large Hadron Collider (LHC) experiments at CERN announced the discovery of a new high-energy particle, revealing information about the basic laws of the universe. This discovery heralds a new and extremely exciting era in high-energy physics.
At the same time, the cosmic frontier is being explored by the Planck mission of ESA’s Horizon Program. Planck will lead to unprecedented heights in the understanding of the early universe and the origin of cosmic structure. Many more state-of-the-art experiments are searching for direct or indirect traces of the mysterious dark matter.
Recommended autumn courses
- DM885: Microservices and Dev(Sec)Ops (10 ECTS)
Recommended spring courses
- DM861: Concurrency Theory (10 ECTS)
Examples of previous thesis project titles
- Simulation of Traffic Flow in a Real Urban Network
- Optimization of coordinated traffic signal intersections
- Flight Planning in Free Route Airspaces
- Artificial intelligence in action real-time strategy games
- Optimizing heat and power production using column generation