ECE Course Syllabus
ECE4150 Course Syllabus
Cloud Computing (2-0-3-3)
- CMPE Degree
- This course is Elective for the CMPE degree.
- EE Degree
- This course is Elective for the EE degree.
- Lab Hours
- 0 supervised lab hours and 3 unsupervised lab hours
- Course Coordinator
- Madisetti,Vijay K
- CS1301 or equivalent
- Catalog Description
- Cloud computing technologies, computation models, and applications; design methodologies for cloud applications; use of cloud-based languages and tools in developing advanced applications.
- Arshdeep Bahga, Vijay Madisetti, Cloud Computing: A Hands-On Approach (1st edition), CreateSpace Independent Publishing Platform, 2013. ISBN 9781494435141 (required)
- Course Outcomes
Upon successful completion of this course, students should be able to:
- Distinguish between several alternatives for cloud solutions and make a choice based on key performance metrics
- Analyze different choices for implementation and deployment and recommend a suitable solution for an enterprise client.
- Predict the impact of design choices for storage, computing and networking options on security, cost, performance and reliability of cloud-based implementations
- Student Outcomes
In the parentheses for each Student Outcome:
"P" for primary indicates the outcome is a major focus of the entire course.
“M” for moderate indicates the outcome is the focus of at least one component of the course, but not majority of course material.
“LN” for “little to none” indicates that the course does not contribute significantly to this outcome.
- ( LN ) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
- ( LN ) 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
- ( M ) An ability to communicate effectively with a range of audiences
- ( LN ) 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
- ( M ) 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
- ( P ) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
- ( P ) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
- Topical Outline
Covers an introduction to cloud computing and the basic technologies that form the foundations of cloud computing. You will learn to use Python in the context of Cloud Computing Introduction to Cloud Computing Cloud Models Cloud Compute, Storage and Database Services Cloud Application Services Content Delivery Services Case Studies Virtual Machines and Compute Services Amazon EC2 Scaling and Load Balancing Amazon Virtual Private Cloud Cloud Application Services Python Restful Web APIs Python Web Frameworks ? Django Serverless Applications AWS Lambda Severless Models Amazon Storage Services (S3, EFS, EBS) AWS Storage Gateways SQL and No-SQL Databases Amazon Redshift, DynamoDB, HBase, MongoDB, Neo4j Queues and Connectors Cases Studies ? Air Monitoring using different AWS solutions Batch and Stream Analytics HDFS, MapReduce, Hadoop, Pig, Ozzie Case Studies Real-Time Analytics ? Apache Spark, Storm, and Flink Cloud Benchmarking Cloud Security AWS Well-Architected Framework ? Reliability, Security, Operational Excellence, Cost, Performance Pillars AWS Cloud Services ? Route 53, CloudFront, Trusted Advisor, SNS, SWF, CloudTrail, CloudFormation, AWS Elastic Beanstalk, KMS, IAM Case Studies Illustrating WAF
© 2021 Georgia Institute of Technology