•   IoT Essentials 5051224-3007 29.08.2022-22.12.2022  5 credits  (ICTMODembeddedSem, ...) +-
    Competence objectives of study unit
    After completing the course the student:
    - knows how Internet of Things (IoT) is reshaping businesses
    - understands the general architecture of an IoT system
    - can build an IoT system in lab demo environment
    Prerequisites
    Basic skills in using both Windows and Linux systems

    Basic networking skills (Cisco CCNA1 or similar)

    Basic programming skills with some high level programming language (for example Python, Java, C# or similar)

    Basic programming skills include (but are not limited to): output formatting, conditional execution, loops, functions/procedures, function parameters and return values, arrays, error handling, testing and good programming policies

    Sufficient logical-mathematical thinking skills

    Sufficient skills in English language (lectures and all materials are in English)
    Content of study unit
    - IoT in business context

    - Essential IoT concepts

    - IoT architecture
    Teacher(s) in charge

    Jari-Pekka Paalassalo

    Learning material

    Cisco Network academy materials

    Learning methods

    Self-study network material
    Lectures
    7 laboratory sessions

    Objects, timing and methods of assessment

    Must pass Final Exam:
    60% -> 1
    68% -> 2
    76% -> 3
    84% -> 4
    92% -> 5
    Mandatory lab works: +/- 2 grades from individual Lab performance
    Mandatory lectures, must attend 70%

    Teaching language

    English

    Timing

    29.08.2022 - 22.12.2022

    Enrollment date range

    01.06.2022 - 16.09.2022

    Group(s)
    • ICTMODembeddedSem
    • PTIVIS21S
    Responsible unit

    Engineering and Business

    Degree Programme(s)

    Degree Programme in Information and Communication Technology, Degree Programme in Information and Communications Technology

    Campus

    Kupittaa Campus

    RDI share

    0.00 credits

    Share of online studies

    0.00 credits

    Assessment scale

    H-5

    Alternative methods of attainment for implementation

    -

    Pedagogic approaches

    Lab Works
    Lectures
    Self study

    Student's schedule and workload

    Lab sessions 6x4h = 24h
    Final exam 2h
    Lectures 12h
    Self study 85h
    Exam preparation 12h

    Content scheduling

    Chapter 1: Things and Connections
    Chapter 2: Sensors, Actuators, and Microcontrollers
    Chapter 3: Software is Everywhere
    Chapter 4: Networks, Fog and Cloud Computing
    Chapter 5: Digitization of the Business
    Chapter 6: Create an IoT Solution

    Assessment criteria
    Failed (0)

    Failed Final Exam <60%
    or
    Weak Final exam < 76% + poor lab performance (missing labs, nonprofessional attitude or lack of active problem-solving, missed lectures)

    Assessment criteria – excellent (5)

    Excellent Final Exam >92%
    and
    expected lab performance (all labs done with average performance)
    or
    Good Final Exam >76%
    and
    superb lab performance (all labs done, actively learns new skills outside of the lab scope, is able to help fellow students, attended all lectures)