•   Applied Coding 1 COD2PO201-3013 22.08.2022-16.12.2022  5   (RM3, ...) +-
    Learning objectives
    The module advances the following competences: cultural awareness, customer understanding and business mindset, research methods, market research and product service development. The module is linked to the core modules Business Environment and Customer Competences. The module can be taken as 5cr and can be later followed with a free-choice studies/star module (5cr).
    Starting level and linkage with other courses
    No prior experience in coding.
    Links in many areas to key digital competences to other modules
    Contents
    1) Website Design-HTML 5 -20%
    2) Java script -20%
    3) Introduction to coding with Python - 40%
    4) AI & Machine Learning -30% (group presentation=15% and individual assign=15%)
    Assessment criteria
    Assessment criteria - grade 1
    The student?has?some?understanding of?coding languages used in the module. He/She?is able to communicate at a minimal level?in the coding language. The student displays limited cultural business awareness and is able to assess some of the product needs for the customer. The student is able to operate?only?when?aided by other students and supervisors.
    Assessment criteria - grade 3
    The student?is able to?understand?coding languages used in the module. He/She is able to develop some coding independently.?The student is able to operate?with tasks both in teams?and independently. The student displays some culturally aware business-oriented approaches by assessing the product needs for the customer.
    Assessment criteria - grade 5
    The student?has an advanced understanding of coding languages used in the module. He/She is able to develop coding independently. He/She applies an entrepreneurial problem-solving approach to their project work and coding creation processes. The student has a comprehensive culturally aware business-oriented approach by assessing the product needs for the customer.

    Teaching methods and instruction

    The module advances the following competences: cultural awareness, customer understanding and business mindset, research methods, market research and product service development. The module is linked to the core modules Business Environment and Customer Competences. The module can be taken as 5cr and can be later followed with a free-choice studies/star module (5cr).
    1) Website Design-HTML 5
    2) Java script
    3) Introduction to coding with Python
    4) AI & Machine Learning

    Learning material and recommended literature

    Books on the?content topics???
    E-books and online articles: Rouhiainen Lasse, 2017, Artificial Intelligence: 101 Things You Must Know Today About Our Future
    Online tutorials???
    Companies’ web?portals?
    Relevant media, news agencies, quality press, etc.??
    Social networking tools???
    Exercises, tests??
    Instructors’ own materials, materials produced by students.

    Working life connections

    Possible company visits and guest lecturers and workshops from different companies and organizations.??

    Campus

    Porvoo Campus

    Exam dates and re-exam possibilities

    Virtual exams are provided on Moodle for Website Design, Javascript and Python. Two attempts are provided for each exam. There is also a written assignment at the end of the course on Artificial Intelligence.

    Teaching language

    English

    Internationality

    Possibility to?operate?with international teams?and international lectures. Possible guest lecturers from international organizations and partner universities.?

    Timing

    22.08.2022 - 16.12.2022

    Learning assignments

    • Pre-Assignment - Pass/Fail • Website Design HTML 5 - 20% • Java script - 20% • Introduction to coding with Python - 40% • AI & Machine Learning -20% (group presentation)

    Enrollment

    13.06.2022 - 19.08.2022

    Content scheduling

    Schedule will be provided at the start of the course.

    Groups
    • RM3
    • LP3TH
    • LP3MY
    • PO3
    • LP3KV
    • EXCH
    • ONLINE
    • RG3
    • VM3
    Alternative learning methods

    a) Learning with contact teaching including assignments, project work, independent study and exams
    b) Virtual learning including virtual study with assignments, project work via the Internet, project execution as a webinar and exams

    Note-
    * Recognition of prior learning is not recommended in Areal Studies in Porvoo Campus competence-based curriculum, but all students are encouraged to choose an unfamiliar Areal Study module topic (5 + 5 ECTS).?

    * Students with prior coding language background knowledge wishing to deepen?their?coding skills are advised to take an alternative advanced coding language course.

    Teachers

    Heikki Hietala

    Seats

    15 - 30

    Further information

    Assessment details can be checked from implementation plans (including attendance requirements):
    Classroom activities
    Individual assignments
    Teamwork
    Final deliverables
    Peer assessment
    Self-assessment

    Degree Programme

    LIIPO Liiketalouden koulutusohjelma

    R&D proportion

    0.00 cr

    Virtual proportion

    0.00 cr

    Evaluation scale

    H-5