|Course title||Introduction to Cloud Computing and Storage
|Course description||This course introduces concepts and principles of cloud computing and storage. Subjects include: cloud computing models (SaaS, PaaS, IaaS), distributed and parallel data processing (MapReduce, Hadoop, multicore technologies), virtualization technologies (hypervisor, virtual machines, full virtualization, paravirtualization), data storage (cloud storage architectures, data centers, data deduplication), security/privacy issues, and case studies of real-world cloud services (Amazon EC2, Windows Azure). This course emphasizes applied methodologies of using cloud computing and storage for solving practical engineering problems.
本科介紹雲端計算及存儲的概念和原則。內容包括：雲端計算模式（SaaS、PaaS、IaaS），分佈式和並行數據處理（MapReduce、Hadoop、多核心技術），虛擬化技術（hypervisor、虛擬機、完全虛擬化、半虛擬化），數據存儲（雲端存儲架構、數據中心、重複數據刪除），安全/隱私問題和現實世界中雲端服務的案例研究（Amazon EC2、Windows Azure）。本科著重利用雲端計算及存儲的應用方法以解決實際工程問題。
|Pre-requisite||CSCI3150 or CENG3150 or ESTR3102|
|Semester||1 or 2|
|Grade Descriptors||A/A-: EXCELLENT – exceptionally good performance and far exceeding expectation in all or most of the course learning outcomes; demonstration of superior understanding of the subject matter, the ability to analyze problems and apply extensive knowledge, and skillful use of concepts and materials to derive proper solutions.
B+/B/B-: GOOD – good performance in all course learning outcomes and exceeding expectation in some of them; demonstration of good understanding of the subject matter and the ability to use proper concepts and materials to solve most of the problems encountered.
C+/C/C-: FAIR – adequate performance and meeting expectation in all course learning outcomes; demonstration of adequate understanding of the subject matter and the ability to solve simple problems.
D+/D: MARGINAL – performance barely meets the expectation in the essential course learning outcomes; demonstration of partial understanding of the subject matter and the ability to solve simple problems.
F: FAILURE – performance does not meet the expectation in the essential course learning outcomes; demonstration of serious deficiencies and the need to retake the course.
|Learning outcomes||Students will be able to:
1. understand the concepts and principles of the design of cloud computing;
2. understand the applied methodologies and hands-on experience of solving practical engineering problems using cloud computing.
(for reference only)
Essay test or exam: 30%
|Recommended Reading List||There is no required textbook for this course.|
|CSCIN programme learning outcomes||Course mapping|
|Upon completion of their studies, students will be able to:|
|1. identify, formulate, and solve computer science problems (K/S);||TP|
|2. design, implement, test, and evaluate a computer system, component, or algorithm to meet desired needs (K/S);
|3. receive the broad education necessary to understand the impact of computer science solutions in a global and societal context (K/V);|
|4. communicate effectively (S/V);
|5. succeed in research or industry related to computer science (K/S/V);
|6. have solid knowledge in computer science and engineering, including programming and languages, algorithms, theory, databases, etc. (K/S);||TP|
|7. integrate well into and contribute to the local society and the global community related to computer science (K/S/V);||T|
|8. practise high standard of professional ethics (V);|
|9. draw on and integrate knowledge from many related areas (K/S/V);
|Remarks: K = Knowledge outcomes; S = Skills outcomes; V = Values and attitude outcomes; T = Teach; P = Practice; M = Measured|