Applied Coding 1 (5 cr)

Evaluation scale

H-5

Schedule

Schedule will be provided at the start of the course.

Implementation methods, demonstration and Work&Study

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.

Materials

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.

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).

Working life connections

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

Exam dates and re-exam possibilities

Vitrtual 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.

Internationality

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

Learning assignments

Website Design-HTML 5 -15%
Java script -25%
Introduction to coding with Python - 25%
AI & Machine Learning -30% (group presentation=15% and individual assign=15%)

Assessment methods

Assessment details can be checked from implementation plans (including attendance requirements):

Classroom activities
Individual assignments
Teamwork
Final deliverables
Peer assessment
Self-assessment

The self-assessment (through Peppi) of one's own learning does not influence the module grade.