Cloud concepts overview. Cloud economics and billing. Overview of cloud security, architecture, pricing and support. Cloud storage. Cloud databases. Compute services. Practice and lab work with widely accepted cloud service providers.
İlk dosyayı sen ekleyebilirsin — notlar, geçmiş finaller, çözümler, cheat-sheet, ne varsa. Drive linki / PDF / ZIP / fotoğraf, hepsi olur.
Şu an: mail at, ben düzenleyip yayına alayım. Form/upload UX yakında geliyor (Kimya tasarlıyor).
Lecture and lab attendance is compulsory in this course. Students are expected to attend at least 50% of all the lectures/lab hours and collect min. 20 out of 70 points from the weighted average of the lab work, midterm and team project to be eligible to attend the final exam. Otherwise, he/she will be assigned FZ.
You ARE ALLOWED to use GenAI tools while preparing your CTIS473 project reports, with the condition that you clearly specify with text coloring the parts of the document that were generated by AI, and adding a discussion paragraph to the end of every section that GenAI was used explaining the prompts that were used to generate the text and how you edited the text to be a part of your overall text flow. If a section or sections of your document were generated by AI and you used them without clear
1. Cloud concepts overview 2. Cloud economics and billing 3. AWS global infrastructure overview 4. AWS Cloud security 5. Networking and content delivery 6. Compute services 7. Cloud storage: AWS EBS/S3/EFS/S3 Glacier 8. Cloud storage: AWS EFS/S3 Glacier 9. Cloud databases: RDS/DynamoDB/Redshift/Aurora 10. Cloud databases: Redshift/Aurora 11. Cloud architecture 12. Auto scaling and monitoring 13. Introduction to AWS Artificial Intelligence and Machine Learning 14. Project Presentations ECTS - Workload Table: Activities Number Hours Workload Preparation for Final exam 1 20 20 Midterm exam 1 3 3 Individual or group work 14 3 42 Laboratory (including preparation) 7 2 14 Final exam 1 3 3 Preparation for Midterm exam 1 10 10 Project (including preparation and presentation if applicable) 1 30 30 Course hours 14 2 28 Total Workload: 150 Total Workload / 30: 150 / 30 5 ECTS Credits of the Course: 5 Type of Course: Lecture - Laboratory Course Material: LMS (Moodle, etc) - Lecture Notes - Multimedia - Slides Teaching Methods: Lecturing - Presentations