Applied Coding 2 - COD2PO202 - Opinto-opas

Applied Coding 2, 5 cr - COD2PO202

Upcoming implementations

No upcoming implementations yet.

Current implementations

No ongoing implementations yet.

Past implementations

Applied Coding 2 COD2PO202-3013 16.01.2023-19.05.2023 5 op (RM4, ...) +-
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

Learning material and recommended literature

• 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

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

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

Teaching language

English

Internationality

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

Timing

16.01.2023 - 19.05.2023

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.

Enrollment

02.01.2023 - 13.01.2023

Content scheduling

Schedule will be provided at the start of the course.
Groups
- RM4
- LP4TH
- PO4
- VM4
- LP4MY
- LP4KV
- EXCH
- ONLINE
- RG4
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-

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

Teachers

Heikki Hietala, Teemu Havulinna

Seats

15 - 40

Further information

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

Degree Programme

TEMPO Degree Programme in Tourism and Event Management

R&D proportion

0.00 cr

Virtual proportion

0.00 cr

Evaluation scale

H-5

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.

Virtual Course assignment (50%)
Case Study assignment exam (25%)
Guest & Teacher lectures (attendance & class tasks) (25%)

Dates for submission will be provided when the course starts.

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.

• 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

The module advances the following competences: cultural awareness, customer understanding and business mindset, research methods, market research and product service development. This module can only be taken on completion of the Applied Coding 1 (COD2PO201).

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.

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.

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.

There is one case study exam on a topic that the instructor will outline when the course starts. There are also 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.