Student Type: Tutkinto-opiskelija
Communication systems and services
Max amount of FITech students: 20 Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course. The course is about the fundamentals of mobile communication systems, such as the link-level and system-level concepts. Characteristics of present and future wireless communications systems, 2G, 3G, 4G and
Collective intelligence and agent technology
Max amount of FITech students: 20 Persons without a valid study right to a Finnish university have preference to this course. The course concerns the so called autonomic (“self-managed”) approach to AI, when AI is represented by autonomous intelligent agents (i.e., software robots) capable to fully manage themselves (having self-trained models of own objectives, beliefs,
Data science for the Internet of Things
Max amount of FITech students: 15 Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course. The course covers the fundamentals of developing data science processing pipelines for data produced by Internet of Things devices. The Internet of Things (IoT) is an extension of Internet
Cloud and edge computing
Max amount of FITech students: 10 Course contents In this course, we will look at modern cloud computing environments. We start by studying how data centres are constructed, paying particular attention to data center networking. Building on this, we define cloud computing and investigate how computation can be scaled in cloud environments. We extend the
SDN fundamentals & techniques
Course contents This course covers the principles of legacy routing and Software-Defined Networking (SDN), an important cornerstone of the 5G and beyond network systems. The course envelops theoretical and practical aspects of SDN, showcasing the different existing SDN protocols and controllers, with focus on ONOS and OpenFlow as SDN controller and SDN protocol, respectively. The
Performance analysis
This course teaches performance analysis of modern computer and communication systems. Course contents Learning outcomes After the course, the student Course material Lecture slides (online). Teaching schedule Completion methods Examination (100 %), exercises. More information in the Aalto University study guide. You can get a digital badge after completing this course.
Machine type communications for internet of things
Course contents The course discusses IoT connectivity requirements such as accuracy of the time synchronicity, link reliability, maximum latency, amount of data, duty cycle, number of connecting devices, coverage as well as the technologies available to meet the requirement. Also practical device side implementation and software development aspects will be covered. Learning outcomes After the
Internet protocols
This course provides a theoretical and practical basis for protocol design and analysis, and investigates dynamics of Internet protocols from application developer’s perspective. Course contents The course consists of case studies, such as evolution of HTTP, comparison between MQTT and CoAP, TCP extension for multipath operations, and comparison between V2X technologies. The case studies will
Informaatioteknologian perusteet
Tämä kurssi sisältää informaatiojärjestelmien ja -palveluiden keskeisimmät käsitteet, tavoitteet ja toimintaperiaatteet. Kurssin sisältö Kurssi koostuu seitsemästä osiosta: Jokainen osio sisältää käytännönläheisen johdannon, perusasioiden esittelyn luentoina sekä yhden aiheeseen liittyvän matemaattisen mallin. Osaamistavoitteet Kurssin suoritettuaan opiskelija on Kurssimateriaali Opetusmonisteet (online). Opetuksen aikataulu Suoritustapa Tentti, luentotehtävät, laskuharjoitukset. Arvostelu perustuu kerättyyn kokonaispistemäärään. Lisätietoja Aalto-yliopiston opinto-oppaassa. Tämän kurssin suorituksesta
Cybersecurity
The course focuses on overall understanding of cybersecurity including different types of threats, cyber defense strategies, evaluation of technological solutions and emerging trends. After the course students are expected to understand digital security. Course content Learning outcomes After successfully completing the course, the student Course material Lecture material (online). Teaching schedule Completion methods Attending the