Programming 1 (5cr)

Evaluation scale

H-5

Content scheduling

On campus: 27.01.2020 - 26.02.2020

Objective

This module provides information about programming as part of software development projects. In this module student concentrate to understand basic principles and concept of programming in practical manner. Module provides information about how to implement logically modelled programs in high-level programming language(s). How programming will serve data analytics will be also studied.

Content

Tieto puuttuu

Location and time

On campus: 27.01.2020 - 26.02.2020

Teaching methods

This is mostly about coding exercises backed up with other methodology. Problem-based learning and team based learning may be applied where applicable. Meaning students will seek knowledge and solve problems related to subject guided. Different activating vocational teaching methods will be used depending on the group taught and the facilities available. When applicable, conventions from selected areas in software industry may be used as a part of teaching. Teacher guides the learning process by short introductory lectures and/or initial subject related material to be studied before practical work. Teacher prepares the setting for learning and provides coaching for the students. Teaching sessions may take place on campus and online. The main focus will be on guided knowledge searching and practical work on it.

Employer connections

Software industry practices/ways of working may be used.

Completion alternatives

Before the course starts, students may propose to the course teachers their personal implementation plan. The plan must be realistic and result in verificable development in the targeted competence(s). In addition, guidance from MIGRI and student visa must be taken into account. Course teachers accept or reject student's plan based on their own consideration.

Student workload

The student's estimated workload of this implementation is 135 h as follows:
Roughly half of which is Independent individual and teamwork guided when needed.
Rest of hours will be mostly learning the subject with guided practical coding and and knowledge seeking exercises.

Assessment criteria, satisfactory (1)

Evaluation target: You know how to use high-level programming language(s) and environments for Data Analytics tasks implementations

Satisfactory

You can produce simple programs, but you need frequently assistance and instructions.

Assessment criteria, good (3)

Good
You can produce programs derivate from requirements, and you can solve programming related challenges independently

Assessment criteria, excellent (5)

Excellent
You can create complex and versatile programming structures and produces well-functioning programs independently according to requirements.

Qualifications

NULL