Student Type: Aikuisopiskelija

  • 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…

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  • Machine learning for mobile and pervasive systems

    Max amount of FITech students: 25 During this course, students will learn good practices for machine learning with noisy and inaccurate data. Course contents Feature extraction/feature subset selection, handling high dimensional data, ANN + deep learning, probabilistic graphical models, topic models as well as unsupervised learning and clustering, anomaly detection and recommender systems. Course material…

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  • 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…

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  • 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…

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  • Industrial training

    Max amount of FITech students: 20 During this course, students will plan and complete an R&D project following development and management processes used currently in 5G industry. Course contents Learning outcomes After finishing the course, students: Course material Course material available online. Teaching schedule Lectures on Tuesdays at 12–14. Completion methods Successful completion of R&D…

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  • 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…

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  • Coding methods

    Course contents Learning outcomes Upon completion of the course, the students will be able to Course material Lecture material (online). Teaching schedule Completion methods Exam, lectures, exercises, project. More information in the Aalto University study guide. You can get a digital badge after completing this course.

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  • Basic principles in networking

    Max amount of FITech students: 20 This course provides a theoretical and practical basis for computer networking. Besides basic networking principles, the course provides case studies of network protocols at each layer of the OSI model. Examples include HTTP and TCP/IP for data center networking, Bluetooth and Bluetooth Low Energy for short-distance device-to-device communication, and…

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  • Architecture of complex systems

    Max amount of FITech students: 20 adult learners System architecture is the study of early decision making in complex systems. This course teaches how to capture experience and analysis about early system decisions, and how to choose architectures that meet stakeholder needs, integrate easily, and evolve flexibly. This knowledge you can apply to traditional business…

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  • User experience in robotics

    Learning outcomes After passing this course, the student Course completion Lecture participation. Active participation in exercise sessions and teamwork, as well as homeworks. Small robotic programming task. Written report and presentation of the group assignment. Individual literature review related to the assignment topic (3-5 scientific articles). Experiencing demos and visits. More information in the Tampere…

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