Seminarios de Innovación e Investigación en Informática

All human activities have implications on our society. Research activity not only does but also the overall research system is based on trust. Then, responsible research conduct is of outmost importance. The goal of the course is to provide an overview of the rules and professional practices that are considered as responsible conduct of research and engineering. Ph. D. students, post-doctoral researchers and everybody involved in research and innovation must know the principles and practices that define a responsible conduct and the ones that are not appropriate and are identified as misconduct. Topics include: Introduction on Responsible Research and Innovation Research misconduct Authorship Plagiarism Peer reviews Conflicts of interest Mentor/mentee relationship Collaborative research Presenting the results Intellectual Property Information Privacy

Friday, 11:00-13:00

All human activities have implications on our society. Professional exercise in engineering, being a researcher or running innovation projects imply making decisions that are not exclusively technical, they involve ethical considerations. Theoretical sessions are complemented with numerous examples and cases.

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In this course, you will learn to design the computer architecture of complex modern microprocessors. All the features of this course are available for free. It does not offer a certificate upon completion.

Embedded Software and Hardware Architecture is a first dive into understanding embedded architectures and writing software to manipulate this hardware. You will gain experience writing low-level firmware to directly interface hardware with highly efficient, readable and portable design practices. We will now transition from the Host Linux Machine where we built and ran code in a simulated environment to an Integrated Development Environment where you will build and install code directly on your ARM Cortex-M4 Microcontroller. Course assignments include writing firmware to interact and configure both the underlying ARM architecture and the MSP432 microcontroller platform. The course concludes with a project where you will develop a circular buffer data structure. In this course you will need the Texas Instruments LaunchPad with the MSP432 microcontroller in order to complete the assignments. Later courses of the Specialization will continue to use this hardware tool to develop even more exciting firmware.

his course is intended for the Bachelor and Master's students, who like practical programming and making IoTs applications! In this course, we will talk about two components of a cyber-physical system, namely hardware and operating systems. After completing this course, you will have knowledge of both hardware components and operating systems. You are able to plan and use embedded operating systems in resource-constraint devices for Internet-of-Things (cyber-physical system) applications. In addition, you can use Cooja simulation for designing and simulating wireless sensor network applications. The course offers 4 modules, each with a graded quiz in the end and finally, one peer-reviewed programming assignment. In case you have no experience with C programming, please check a practical course like: https://www.coursera.org/learn/arduino-platform. The course is actually quite fun at the end when you play around with Cooja simulation for IoTs applications. So you can create and simulate your own design for sensor network applications. A lot of features and examples of Contiki and Cooja can be explored via assignments. There are some optional assignments of wireless sensor network applications for students who want to explore more about embedded OS in IoTs applications. - Marco Ramirez /University of Turku - Igor Tcarenko/ University of Turku - Nguyen Gia Tuan /University of Turku Check out our whole curriculum: http://iot4health.utu.fi/

This course can also be taken for academic credit as ECEA 5360, part of CU Boulder's Master of Science in Electrical Engineering degree. Programmable Logic has become more and more common as a core technology used to build electronic systems. By integrating soft-core or hardcore processors, these devices have become complete systems on a chip, steadily displacing general purpose processors and ASICs. In particular, high performance systems are now almost always implemented with FPGAs. This course will give you the foundation for FPGA design in Embedded Systems along with practical design skills. You will learn what an FPGA is and how this technology was developed, how to select the best FPGA architecture for a given application, how to use state of the art software tools for FPGA development, and solve critical digital design problems using FPGAs. You use FPGA development tools to complete several example designs, including a custom processor. If you are thinking of a career in Electronics Design or an engineer looking at a career change, this is a great course to enhance your career opportunities. Hardware Requirements: You must have access to computer resources to run the development tools, a PC running either Windows 7, 8, or 10 or a recent Linux OS which must be RHEL 6.5 or CentOS Linux 6.5 or later. Either Linux OS could be run as a virtual machine under Windows 8 or 10. The tools do not run on Apple Mac computers. Whatever the OS, the computer must have at least 8 GB of RAM. Most new laptops will have this, or it may be possible to upgrade the memory.

The MESIO UPC-UB Summer School is a specialized training program that increases the supply of both professional and research training in the field of Statistics and Mathematics. The courses are open to students from other bachelor's and master's degrees, members from other universities as well as researchers and practitioners that work in private and public institutions and that need the use of statistical or machine/deep learning methodologies in their daily work. The Summer School courses are taught by renowned visiting professors as well as professors of the UPC and UB. You can have look at the courses and instructors of the previous editions(open in new window). The 2022 edition contains 12 activities(open in new window) taught from June 20th to July 8th, 2022. The courses defined as "face-to face" will only be like this if the COVID19 sanitary conditions allow it. Otherwise, they will be taught online. In the face-to face situation, the courses are also going to be relayed by streaming

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(Mostly)HPC symposium of the most recent work of the doctoral researchers at BSC

9:00 - 17:00, 9:00 - 17:00, 9:00 - 15:20

With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome. This Specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, along with a variety of software implementation tools like Python, R, and Bioconductor.

Flexible