Chalmers University of Technology: Chalmers University of Technology, situated in Gothenburg, Sweden, is a prominent technical university known for its world-class education and research in engineering, technology, and natural sciences. Chalmers fosters an entrepreneurial and collaborative environment and encourages innovation and sustainability. The university has strong ties with industry and offers students valuable opportunities for practical training and

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Complex adaptive systems master's programme at Chalmers To understand the dynamics of increasingly complex phenomena where standard simulation methods are inadequate, stochastic algorithms, game theory, adaptive programming, self-similarity, chaos theory and statistical methods are used to describe and increase our understanding of complex systems in nature and society, in the end trying to predict the unpredictable. Examples are gene-regulation networks, the motion of dust particles in turbulent air or the dynamics of financial markets. One example is fluctuations in share and option prices determining the stability of our economy. Other examples are the dynamics of dust particles in the exhaust of diesel engines, the dynamics of biological or artificial populations, earthquake prediction, and last but not least adaptive learning: the problem of teaching a robot how to respond to unexpected changes in its environment. Truly interdisciplinary and encompassing several theoretical frameworks, this programme provides you with a broad and thorough introduction to the theory of complex systems and their applications to the world around us. You will gain the knowledge and the tools needed to model and simulate complex systems and learn how to use and build algorithms for analysis, optimization and machine learning. The master's programme is based on a physics perspective with a focus on general principles, but it also provides courses in information theory, computer science and optimisation algorithms, ecology and genetics as well as adaptive systems and robotics. Besides traditional lectures on simulation and the theory of complex systems, the programme is largely based on numerical calculations and simulation projects. Depending on your course selection, you will also be able to do practical work in our robotics lab. Show less

The master's programme runs for a duration of two years, leading to a Master of Science (MSc) degree. During each year, students can earn 60 credits (ECTS) and complete the programme by accumulating a total of 120 credits. Credits are earned by completing courses where each course is usually 7.5 credits. The programme consists of compulsory courses, compulsory elective courses and elective courses.

Compulsory courses year 1
During the first year, the programme starts with six compulsory courses that form a common foundation in Complex adaptive systems. Each course is usually 7.5 credits.

Artificial neural networks
Simulation of complex systems
Stochastic optimization algorithms
Dynamical systems
Computational biology 1
Compulsory courses year 2
In the second year, you must complete a master's thesis in order to graduate. The thesis may be worth 30 credits or 60 credits depending on your choice.

Master’s thesis
Compulsory elective courses
Through compulsory elective courses, you can make your own profile and specialize in physics/statistical physics, robotics and adaptive systems, machine learning and data science or computational biology/systems biology. During years 1 and 2, you need to select at least three compulsory elective courses in order to graduate.

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You will need to book the accommodation after you have been accepted.

You can choose to live on campus or off campus in private accommodation.

How to book:

• Make a booking online after you have been accepted (in this case please let us know your choice when you apply).
• Register when you arrive - its not possible to reserve a room before arriving. You can arrive a few days before and book it

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