Kieli: Englanti
Advanced web development: back end
Course contents Core content: Different client-server splits and their implications Basics of REST (not all HTTP APIs are RESTful) Elements of HTTP protocol Complementary knowledge: Web as a distribution platform – synchronous and asynchronous options. Alternatives to HTTP/REST Dynamic vs static rendering and their implications Packaging and obfuscating Security principles and techniques Specialist knowledge: Caching
Website development
Core content Learning outcomes After course completion the student Completion methods Exam on campus in Tampere. More information in the Tampere University study guide. The course was previously under the name Web for content authors and information scientists. You can get a digital badge after completing this course.
Introduction to data science
In the age of data explosion, the face of research done in scientific fields is being changed dramatically. Nowadays, scientists are dealing with massive amount of unstructured data which contains unprecedented amount of decrypted information which in turn can facilitate the break through data-driven discoveries and predictions. That is why the demand for the “data
Deep learning with Python
Max amount of FITech students: 1000 This course is intended as a follow-up for CS-EJ3211 Machine Learning with Python. This course is an introduction to deep learning. Course contents This is an introductory course where you will learn how to train high-dimensional non-linear models, represented by deep artificial neural networks (ANN), using few lines of
Design of WWW services
Max amount of FITech students: 40 Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course. The course deals with designing and implementing WWW sites and interactive services on the Web. Guest lecturers from academia and industry cover relevant aspects, such as various Web service
Software engineering models and modeling
Creating software is much more than coding. This course introduces you to various modelling approaches that reduce the gap between problem analysis and software implementation that describe complex systems at multiple levels of abstraction. With these models you learn to present human-understandable descriptions or analyse system quality. Course participants will for example learn to manage,
Insinöörimatematiikan perusteet
Ydinsisältö mm. Opintojakson suoritettuaan opiskelija Lisätietoja Tampereen yliopiston kurssisivulla. Tämän kurssin suorituksesta on mahdollista saada digitaalinen suoritusmerkki.
Tietorakenteet ja algoritmit 1
Kurssin suoritettuaan opiskelija Kurssin voi suorittaa itsenäisesti niin, että osallistuu ainoastaan tenttiin. On myös mahdollista osallistua luennoille. Lisätietoja kurssista Tampereen yliopiston opinto-oppaassa. Tämän kurssin suorituksesta on mahdollista saada digitaalinen suoritusmerkki.
Introduction to human computer interaction
Max amount of FITech students: 25 adult learners Course contains introduction to human-centered design: what to consider in terms of different users and technologies when designing interactive systems. Practical analysis and design exercises such as user testing and improving usability of user interfaces. After passing this course the student Completion methods Lectures are voluntary exept
GNSS Technologies
The course discusses various subjects on satellite positioning technology and receiver design, such as signal acquisition and tracking, measurement errors, and integration with INS. Course contents GNSS signal structure: GPS, GLONASS, Galileo, Beidou. How a receiver acquires and tracks the GNSS signal. Software receiver design principles. Multi-system receivers. Hands-on work with software receiver. Integration of