Study Guide

Objective

The student is able to utilize the possibilities of cloud computing services in application development. The student has an overview of different cloud computing services and their features. The student is able to choose a suitable cloud computing service, which may be related to data management, image recognition, text conversion, video processing or other cloud computing.

Content

The course covers various aspects of Cloud Computing and usage examples:
- Deployment of a service provider's Cloud Computing solution
- Identify an object from an image using a cloud computing service
- Processing the text and identifying things from the text
- Programming in the cloud computing service
- Data management using a cloud computing service
- Comparison of cloud computing solutions
- Using a solution that utilizes cloud computing on a mobile device

Materials

All necessary materials for this course will be compiled and made accessible in the Moodle workspace. Additional resources and materials will be sourced and added from the internet as required. This will include documentation and tutorials for the cloud services utilized in the course, such as Google Cloud and Azure.

Prerequisites maybe needed to study independendly:

Basics of Python: Familiarity with the fundamental concepts and syntax of the Python programming language.

Fundamentals of Data Management: Understanding the basics of data handling, including JSON and Databases.

Basics of Information Technology: Knowledge of core IT concepts, including an understanding of what a CPU and GPU are.

Teaching methods

Online material. Practical exercise support offered in workshops

Content scheduling

Theory: Introduction to IaaS, PaaS, etc., and guidance on maintaining a learning diary for the course.
Alternatives in Cloud Services - Theory
Exploration of Firebase/Supabase or another relevant technology.
Google’s Teachable Machine: An Interactive Tool for Machine Learning.
Computing in the Cloud: Google Colab - Basics and Introduction to Cloud computing Machine Learning, Natural Language Processing (NLP).
Fundamentals Cloud Platform. Ethical and Sustainable Approaches, covering GDPR, Power Consumption, and Cost Savings.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

The student understands the principles of cloud computing and cloud service and is able to use cloud computing in simple implementations. The student is able to solve basic problems and search for more information from the digital materials of cloud computing service providers.

Assessment criteria, good (3)

The student understands the principles of cloud computing and cloud service and is able to plan and implement implementations that utilize cloud computing.

The student is able to utilize the features of the cloud computing service. The student is able to choose the most effective solution for a defined need from the services of several cloud computing service providers. The student is able to implement a solution that works with the selected service.

The student is able to solve problems and is able to search for more information from the digital materials of cloud computing service providers.

Assessment criteria, excellent (5)

The student is able to use the cloud computing service smoothly as part of an information system. The student is able to choose the most suitable cloud computing solution for the task. The student is able to apply the features of the cloud computing service in many ways. The student is able to utilize the features of the cloud computing service in software development.

Assessment methods and criteria

Grades will be based on the quality, quantity, and complexity of exercises saved in a shared online portfolio, as well as a required final report