Basics of Cloud Computing for WEB Application - course description

General information

Course name	Basics of Cloud Computing for WEB Application
Course ID	11.3-WK-DEED-BCCWA-S22
Faculty	Faculty of Mathematics, Computer Science and Econometrics
Field of study	Data Engineering
Education profile	academic
Level of studies	Second-cycle studies leading to MS degree
Beginning semester	summer term 2023/2024

Course information

Semester	3
ECTS credits to win	5
Available in specialities	Data exploration systems
Course type	optional
Teaching language	english
Author of syllabus	mgr inż. Andrzej Majczak

Classes forms

The class form	Hours per semester (full-time)	Hours per week (full-time)	Hours per semester (part-time)	Hours per week (part-time)	Form of assignment
Lecture	30	2	-	-	Credit with grade
Laboratory	30	2	-	-	Credit with grade

Aim of the course

A practical presentation of cloud solutions for web applications.
How to fully configure a working, multi-tier application for cloud.
Automation of tasks creating a comprehensive solution in cloud.

Prerequisites

Computer programming.

Scope

Lecture

Introduction to cloud computing
Getting started with cloud
Developing cloud applications from a local workstation
REST architecture and APIs
Introduction to data services in cloud

Laboratory

Defining your desired tiers and architecture for web, application, and data.
Deploying virtual server instances into isolated subnets across availability zones.
Setting up network isolation by using security groups and network access control lists.
Setting up public gateways for egress access to install software.
Installing and setting up software on virtual server instances.
Setting up application load balancing across virtual server instances for availability.
Setting up global data domain OS and global load balancing.
Setting up a virtual private network or bastion server to establish remote secure connectivity from on-premises machines to a public cloud.
Leveraging infrastructure and application monitoring.

Teaching methods

Traditional lecture. Laboratory exercises in the computer lab according to the developed instructions.

Learning outcomes and methods of theirs verification

Outcome description	Outcome symbols	Methods of verification	The class form

Assignment conditions

Checking the degree of students' preparation and their activity during laboratory exercises.
Obtaining positive grades for all laboratory exercises planned for implementation as part of the laboratory program.
Written answers to pass the lecture consisting of questions and tasks verifying knowledge of the material covered.

The grade for the course consists of the grade for laboratory exercises (50%) and the grade for the lecture (50%). The condition for passing the course is a positive grade in laboratory exercises and lecture.

Notes

Modified by dr Maciej Niedziela (last modification: 16-04-2024 18:24)

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