Cloud Computing Fundamentals and Machine Learning (5 cr)

Objective

Upon a successful completion of the course, the student
• knows the basics of cloud computing
• can identify global infrastructure components of cloud computing
• knows the basics of implementation and architecture of public cloud computing
• understands the basics of machine learning and knows how machine learning is used to resolve problems.

Content

• Cloud computing concepts
• Overview of cloud infrastructure
• Core cloud services
• Basics of cloud architecture
• Automatic Scaling and Monitoring
• Basics of machine learning
• Machine learning processes

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student
• has achieved the objectives of the course
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.

Assessment criteria, good (3)

The student
• has achieved the objectives of the course well, although there are still areas where knowledge and skills need to be improved
• has a good understanding of the concepts and models of the subject matter of the course and is able to carry out a reasoned analysis
• is able to apply what they have learned in learning and working life situations
• understands the importance of expertise in the ICT field and is able to analyse their own expertise.

Assessment criteria, excellent (5)

The student
• has achieved the objectives of the course with excellent marks
• has an excellent command of the concepts and models of the subject matter of the course
• is able to analyse clearly and reasonably and propose practical development measures
• has a good ability to apply what they have learned in learning and working life situations
• is able to analyse expertise in the ICT field and their own development towards expertise.

Assessment criteria, approved/failed

The student
• has achieved the objectives of the course
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.

Objective

Upon a successful completion of the course, the student
• knows the basics of cloud computing
• can identify global infrastructure components of cloud computing
• knows the basics of implementation and architecture of public cloud computing
• understands the basics of machine learning and knows how machine learning is used to resolve problems.

Content

• Cloud computing concepts
• Overview of cloud infrastructure
• Core cloud services
• Basics of cloud architecture
• Automatic Scaling and Monitoring
• Basics of machine learning
• Machine learning processes