IT
Courses in programming, big data and digitisation prepare you to deal with and develop the IT solutions of tomorrow.
Advanced Deep Learning
Deep learning has pushed the boundaries in Artificial Intelligence (AI) and has been outperforming the state-of-the-art in numerous applications across a wide range of domains. These include object classification in …
Advanced Topics in Machine Learning - DIKU
The purpose of this course is to expose students to selected advanced topics in machine learning. The course will bring the students up to a level sufficient for writing a …
Applied Machine Learning - NBI
The course will give the student an introduction to and a basic knowledge on Machine Learning (ML) and its use in various parts of data analysis. The focus will be …
Applied Programming (APP) - DIKU
The purpose of the course is to introduce the programming language C/C++, key programming concepts in a scientific context, and guidelines for documentation. The course will enable the student to …
Applied Statistics: From Data to Results - NBI
The course will give the student an introduction to and a basic knowledge of statistics and data analysis. The focus will be on the application of statistics and thus proofs …
Data-Driven Financial Models - DIKU
The course gives the student a thorough introduction to financial theory, financial markets and products. Besides theory, students will be introduced to practical problems faced by Financial Engineers through a …
Data: Law and Ethics
This course examines the socio-political, ethical and legal contexts of data by investigating a range of recent data controversies. In this course students will learn to critically reflect upon the …
Ethical Hacking
In this course you will gain the skills necessary to become a security analyst/penetration tester. You will have already taken an introductory course on information security, and this course will …
Global Project Management
This course considers the nature as well as the challenges associated with ‘global project management and IT’. “If a registration deadline has been registered on this page, the course is …
Introduction to Data Science - DIKU
The purpose of the course is to introduce non-Computer Science students to probabilistic data modeling and the most common techniques from statistical machine learning and data mining. The students will …
Introduction to social data science
The objective of this course is to learn how to analyze, gather and work with quantitative social science data. Increasingly, social data that capture how people behave and interact with …
Machine Learning A - DIKU
The course introduces basic theory and algorithms of machine learning. The course covers the following tentative list of topics: - Supervised learning setting - Unsupervised learning setting - Concentration of …
Modelling and Analysis of Data - DIKU
The purpose of the course is to provide a basic and broad introduction to the representation, analysis, and processing of sampled data. The course will introduce the student to statistical …
Online and Reinforcement learning - DIKU
Online and reinforcement learning break out of the static realm and move into the realm of perpetual cycle of getting new information, analysing it, and executing actions based on the …
Python Programming for Data Science - DIKU/BIO
This course is an introduction to programming in Python, with focus on data processing and analysis. It includes basic programming concepts such as data types, conditionals, loops, functions, object oriented …
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Artificial-intelligence-driven technologies are rapidly changing the world. Business automation, customer management systems, and language models are revolutionising everything from organisation and marketing to product development and sales forecasting improving competitiveness, …