Language: English
Introduction to full stack development
During this course, the students learn to design and implement simple end-to-end web applications. Students also understand the basic technologies and architectural concepts. Course contents Core content: Complementary knowledge: Specialist knowledge: Teaching methods The course was previously under the name Web development 1 – Programming. More information on the Tampere University course page. You can…
Advanced web development: back end
Course contents Core content: Complementary knowledge: Specialist knowledge: Learning outcomes Understanding of web technologies and architecture involved in advanced web applications consisting of client components and server application components. Understanding of web application communication architectures and protocols for distributed, scalable web applications. Completion methods Completing the course consists of an individual exam, a (group) project…
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 probability and statistical inference
Course contents Learning outcomes After the course, the student Completion methods Self-study and exam. More information in the Tampere University study guide. 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.
Data structures and algorithms 1
After completing the course, the student Completion methods More information is available on the University of Tampere’s course page. You can get a digital badge after completing this course.