Applied Coding 2 (5 cr)

Evaluation scale

H-5

Schedule

Schedule will be provided at the start of the course.

Implementation methods, demonstration and Work&Study

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

• Rouhiainen Lasse, 2017, Artificial Intelligence: 101 Things You Must Know Today About Our Future, ISBN: 1982048808
• E-books and online articles
• Online tutorials
• Companies’ web portals
• Relevant media, news agencies, quality press, etc
• Social networking tools
• Exercises, tests
• Instructors’ own materials

Teaching methods and instruction

The module further advances the competences from the Applied Coding 1 module: 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:
• Pre-assignment task
• Virtual Course assignment (worth 70% of course weight 3.5cr): This takes place in a virtual course platform (DataCamp) and includes: Python, Deep Learning, R and some free choices
• Mini-Tech Project-(worth 30% of course weight 1.5cr ) Google Dialogflow OR Google Teachable Machine

Working life connections

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

Exam dates and re-exam possibilities

Instructor will outline more details when the course starts. There are 3 compulsory class assignments. Re-exams can be arranged during the module implementation, but must be agreed with the course instructor before the end of the module.
1) Pre-assignment task
2) Virtual Course assignment (worth 70% of course weight 3.5cr): This takes place in a virtual course platform (DataCamp) and includes: Python, Deep Learning, R and some free choices
3) Mini-Tech Project-(worth 30% of course weight 1.5cr ) Google Dialogflow OR Google Teachable Machine

Internationality

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

Completion alternatives

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-

* Students must have completed the Applied Coding 1 module before starting this module

Learning assignments

• Pre-Assign (Pass/Fail)
• Virtual coding course diary (70%)
• Mini-Tech Project (30%)

Dates for submission will be provided when the course starts.

Assessment methods

Assessment methods will be completed via the virtual platform (Moodle). These will be in the form of an exam, virtual diary for the DataCamp coding course and the three class assignments.
• Classroom activities
• Individual assignments
• Teamwork
• Final deliverables
• Peer assessment
• Self-assessment