MCF8212 Cloud and IOT Forensics

The course examines and analyses the most important APIs used in the cloud computing, including the techniques for building, deploying, and maintaining machine images and applications. We will learn how to use Cloud as the infrastructure for existing and new services. We will use open-source implementations of highly available clustering computational environments, also learn how to deal with not trivial issues in the Cloud, such as load balancing, caching, distributed transactions, and identity and authorization management. 

Course Aim
Cloud computing and IoT course intends to impart skills of evaluating and assessing the business and technical benefits of cloud computing, provide the foundation to analyze cloud applications for use in your organization, and learn how cloud computing can provide efficient solutions to technical, business, and administrative challenges.

Course Objectives
This course aims to enable students to;

• Develop skills and experiences employed in designing innovative cloud-based systems. 
• Analyze integrated cloud application and trouble shoot the malpractice. 
• Explore by hand-on the concepts IoT such as sensing, actuation and communication

Learning Outcomes
Upon completion of this course, the student will be able to: 

• Demonstrate basic competence in analyzing cloud applications. 
• Explain the basic concepts of building, deploying, and maintaining machine images and applications related to IoT. 
• Explain the cloud in relation to IoT
• Apply tips and best practices when adopting the cloud
• Explain the core issues of cloud computing such as security, privacy, and interoperability.
• Choose the appropriate technologies, algorithms, and approaches for the related issues.
• Identify problems, and explain, analyze, and evaluate various cloud computing solutions.