CENG495 CLOUD COMPUTING
| Course Code: | 5710495 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 5.0 |
| Department: | Computer Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Lecturer Dr. CEVAT ŞENER |
| Offered Semester: | Fall Semesters. |
Course Objectives
At the end of this course, students will be able to:
1. Understand the core concepts and principles of cloud computing.
2. Understand the available techniques, platforms and issues in cloud computing.
3. Analyze architecture and design of various cloud platforms.
4. Design and implement cloud applications.
5. Design and implement data and database for cloud.
Course Content
Cloud basics. Service models. Cloud platforms. Cloud access. Resource virtualization. Virtualization types. Multi-tenant software. Cloud applications: design, construction and deployment. Use of workflows. MapReduce. Data in the cloud. CAP theorem. NoSQL.
Course Learning Outcomes
Satisfies the following student outcomes (SOs) via the following Performance Indicators:
• SO (c) – PI-c4: Design and implement components and systems to process, i.e. acquire, store, organize, manipulate, access and present, varied amounts of data.
• SO (c) – PI-c6: Understand broad economic, environmental, social, cultural, political, legal, ethical, safety, and security issues in both local and global scale.
• SO (f) – PI-f2: Understand legal issues related with engineering practice, including intellectual property rights, security and privacy.
• SO (f) – PI-j1: Discuss the newsworthy events that arise from the use of information and communication technologies.
• SO (k) – PI-k1: Use a widely accepted high-level programming language, e.g. Java, C# and C++.
• SO (k) – PI-k5: Use some special purpose languages and tools, such as those for mathematical programming, simulation, statistical analysis and hardware description.
• SO (l) – PI-l3: Analyze the architectures of real systems, such as operating systems, database management systems, network protocols, compilers, and graphics engines.
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |||
| 4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ✔ | |||
| 5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
| 6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |||