Introduction to Computing exposes students to the introductory concepts of computing. Students will be taken through the evolution's of computing, difference between operating system and application software, basics in computer networking with emphasis Local Area Network and Network Security, the different types of input and output devices and the whole concept on the internet.
The course is broken into five chapters.
This course introduces you to the core concepts of cloud computing. You will gain the foundational knowledge required for understanding cloud computing from a business perspective as also for becoming a cloud practitioner. You will understand the definition and essential characteristics of cloud computing, its history, the business case for cloud computing, and emerging technology use cases enabled by cloud. You will be introduced to some of the prominent service providers of our times (e.g. AWS, Google, IBM, Microsoft, etc.) the services they offer, and look at some case studies of cloud computing across industry verticals.
You learn about the various cloud service models (IaaS, PaaS, SaaS) and deployment models (Public, Private, Hybrid) and the key components of a cloud infrastructure (VMs, Networking, Storage - File, Block, Object, CDN). We also cover emergent cloud trends and practices including - Hybrid Multicloud, Microservices, Serverless, DevOps, Cloud Native and Application Modernization. And we go over the basics of cloud security, monitoring, and different job roles in the cloud industry.
This course introduces you to the core concepts of cloud computing. You will gain the foundational knowledge required for understanding cloud computing from a business perspective as also for becoming a cloud practitioner. You will understand the definition and essential characteristics of cloud computing, its history, the business case for cloud computing, and emerging technology use cases enabled by cloud. You will be introduce you to some of the prominent service providers of our times (e.g. AWS, Google, IBM, Microsoft, etc.) the services they offer, and look at some case studies of cloud computing across industry verticals.
You learn about the various cloud service models (IaaS, PaaS, SaaS) and deployment models (Public, Private, Hybrid) and the key components of a cloud infrastructure (VMs, Networking, Storage - File, Block, Object, CDN). We also cover emergent cloud trends and practices including - Hybrid Multicloud, Microservices, Serverless, DevOps, Cloud Native and Application Modernization. And we go over the basics of cloud security, monitoring, and different job roles in the cloud industry.
Computer Science and Engineering majors can have professions as computer professionals with a wide range of varying responsibilities, including designing computers and the software that runs them; developing information technologies; and developing and adapting principles for applying computers to new uses.
The course integrates theories and methodologies
from computer science, cognitive psychology and design. It is designed to give students an understanding of how people
interact with computers and to provide knowledge on
how to design computer systems based on the capabilities of computer technology
and the needs of human factors
This course introduces students to the concepts of OOP using C++
Object oriented paradigm & C++ at a glance, Classes and objects, Object initialization and cleanup, Dynamic objects, Operator overloading, Inheritance, Virtual functions, Generic programming with templates, Streams computation with streams, Stream computation with files, Exception handling.
Control Systems is the study of the analysis and regulation of the output behaviors of dynamical systems subject to input signals. The concepts and tools discussed in this course can be used in a wide spectrum of engineering disciplines such as mechanical, electrical, computer, aerospace, manufacturing, and biomedical engineering. The emphasis of this course will be on the basic theories and feedback controller design methods of linear time-invariant systems.