Study Guide

Learning outcomes

Student is able to
- design and use document databases
- design and implement API interfaces using a programming language
- design and implement a scaleable microservice

Implementation and methods of teaching

The teaching methods are lectures (online), as well as applied exercises based on examples.

Timing and attendance

Presence and personal activity are desirable, monitored, and affect evaluation. The course have approximately 3 hours per week and is scheduled for the entire fall semester.

Learning material and recommended literature

Study material can be found in Moodle. It consists of course lecture slides and other current material. In addition, the student independently searches for both literature sources and reliable sources available on the Internet.

Learning environment

The virtual Moodle e-learning platform is used as the information and organization environment for the course. This course requires a personal computer and it is a good idea to have administrator rights during the course. The computer OS can be Windows, Linux, or Mac.

Student time use and work load

Total lectures round 44h. Average time needed to complete 106h.

Contents

The course teaches the development of cloud-based systems and the technologies needed in them.
Current themes include:
- APIs, design and documentation principles
- Restful API architecture
- API documentation and testing tools
- Serverless architecture and micro services
- FaaS Services
- NoSQL databases

In addition, software development uses container technologies (e.g. Docker).

Additional information for students: previous knowledge etc._peppi

The teaching is primarily intended for students of Information and communication technology.
The student is required to have basic knowledge and skills in programming, as well as knowledge of the basics of web technology. Most programs are made in Javascript in the browser and Node environment. Knowledge of the basics of relational databases is also useful.

Assessment criteria

The evaluation is based on the level of completion of the tasks assigned to the course and the student's activity.

Assessment scale

1-5

Failed (0)

The student has not achieved the competence objectives of the course.

Assessment criteria: level 1 (assessment scale 1–5)

The student is able to make use of available data sources and make independent solutions to some extent.
The tasks to be returned must be completed at the pass level.

Assessment criteria: level 3 (assessment scale 1–5)

The student is able to use and apply the available data sources independently.
The returned tasks must be performed in such a way that they have been correctly and approved in accordance with the assignment. The student participates in the discussion and reflection during the lectures.

Assessment criteria: level 5 (assessment scale 1–5)

The student is able to make use of, critically evaluate and apply available data sources. The student is required to take an active part in the discussion, is a positive interlocutor and promotes the discussion in an essential direction and justifies his or her opinion. The tasks to be returned must be completed in such a way that they meet the objectives of the given assignment at a commendable level.