26 July 2019
Data Analytics: Tools and techniques for Acquiring Insights from Big Data
The knowledge obtained in this course can be used to understand better our world (e.g., following the scientific approach). For example, natural environments (the sciences), social interactions, and engineering systems are often complex, and the underlying causal models are difficult to understand. Data-driven modeling and hypothesis generation is essential for understanding system behavior and interactions.
The last decade or so has seen sizable decreases on costs to gather, store, and process data, creating a fertile environment for the use of data analytics approaches to problem solving based on big-data. . Examples are: Increasing productivity and efficiency in business domains by guiding decision processes, improving the experience and interaction between the users and systems or optimizing different environments (e.g., living space, energy footprint).
In the business domains, big-data analytics can support an increase on productivity or efficiency, by guiding decision processes. Similarly, in interactive and ubiquitous environments, big-data analytics can influence the interaction between the system and the users, to improve their experience (e.g., UX, user engagement), or to optimize their environment (e.g., living space, energy footprint).
In health and human welfare, data analytics is key to cost efficiencies and sustainability of the healthcare infrastructure, as well as a represents a promising approach for devising prognostic interventions and novel therapies.
This course is aimed at teaching students about a set of tools and techniques that are state-of-the-art and commonly used for data analytics in the industry.
The OsloMet International Summer School offers courses to students from any discipline with an interest to learn more about technology and about how to incorporate it into their respective disciplines and professions. In addition to intensive classes, you will get the opportunity to learn in an international, innovative and collaborative environment while making friends and growing your international professional network. The program will consist of active group work, excursions and an innovation camp to strengthen the learning as well as the social outcome of your summer!
For more information and the chance to sign up, please follow the link to our home page.
Students from any field, age and country are welcome to apply! The Summer School is hosted by the Department of Computer Science under the Faculty of Technology, Art and Design at Oslo Metropolitan University. Please check the home page for information regarding prerequisites for this course.
The course will be offered both with 5 ECTS and 10 ECTS – the assignments differ between the two. The 10 ECTS course will consist of 4 weeks in class at OsloMet, plus 8 weeks additional independent study.
NOK 1000: All participants at OsloMet International Summer School must pay a summer school fee of 1000 NOK.
This covers participation, arrival service, welcome pack, social program, and excursions.