Computer Science

General Objectives Cloud computing has entered the mainstream of information technology, providing highly elastic scalability in delivery of enterprise applications. \ At the end of the course students will have the tools to understand the impact of using Cloud services in a business environment and the technological implications of developing Cloud applications in practice, especially for storing and processing large data sets. Specific Objectives: At the end of the course, the students will have the tools to: - use system and application virtualization technologies - use IaaS and PaaS technologies - design virtualized architecture - deploy cloud applications - assess cost and performance of cloud-based systems Knowledge and Understanding At the end of the course, the students have acquired the knowledge about drivers of cloud computing, virtualization technologies, cloud architectures (autoscaling, load balancing, monitoring, high availability), cloud storage At the end of the course, the students will be capable to understand the working principle of cloud-based solutions (design and operation) and to understand applied research problems related to cloud based solutions.g Applyinf Knowledge and Understanding: At the end of the course the student will be capable to - explain the principle of cloud computing - explain the main cloud technologies - solve problems that require the use of cloud technologies and the design and deployment of virtualized architectures and cloud applications - assess the performance and costs of cloud-based solutions Critiquing and judgmental skills: In the course the student will develop critical thinking skill in the field of cloud computing Communication Skills: At the end of the course the student will be capable to communicate the notions learned to practitioner and managers. Learning abilityAfter the course the students will have the acquired knowledge to read advanced course on cloud computing and big data technologies.