Cloud app architecture

Three-layer architecture, MVC architecture, app topology in uuAppServer, Use-Case driven development, the controller, the model (app logic), DAO (data persistence).

App communication

REST essentials, machine readable data formats and data structures for communication (JSON, XML, CSV).

App server

Services (uuCMDs), persistence (model/dao/data), routing, validation, exceptions, authentication, authorisation, logs, testing…).

User interface

The basic structure, the component approach, technology and framework overview.

Data persistence

Types, terminology, basic principles, SQL vs NoSQL database essentials, practical demonstrations of their use. DAO methods and indices.

Rights in an app

Profiles for UseCase and authorisation in an app, user authentication through identity, mass user and right administration, extension possibilities.

Logs

What and how to log in apps, levels of logging, access to app logs.

Working with binary data

Uploading and downloading of binary data (e.g. images), binary data persistence.

App deployment

Basic principles, the deployment process, production vs. development environment, deploying an app in the most common PaaS platforms, tools for the support of the deployment.

The lifecycle of designing and developing a cloud uuApp

Assignment, HLC, design, implementation, deployment, operation.

Object-oriented analysis and design

Basic principles, terminology, UML, the difference between the analysis and design, request categorisation (FURPS+).

Visual modelling

Formal vs. informal modelling, UML notation, uuBML notation.

UML diagrams

The basic structure, the component approach, technology and framework overview.introducing individual diagram types, the class diagram, the use-case diagram, the activity diagram, the status diagram, the sequence diagram, the package and component diagram.

Data storage modelling

Basic principles, relation types, the difference in the modelling approach between SQL and NoSQL.

Computational complexity

Time complexity, spatial complexity, asymptotic complexity.

The Turing machine

Introducing the Turing machine, its use for computational complexity.

Sorting

Undamental principles of sorting (stability, complexity etc.), basic classification methods (selection sort, insertion sort, bubble sort etc.).

Searching

The search structure, the search operations above the list and field (including binary and interpolation search), the binary search tree, the AVL tree and its features.

Bit operations and hashing

Bit operations, interpretations of binary numbers, hashing and corresponding data structure.

Revising and extending the basic JavaScript syntax

Revising programming constructions, learning further syntactic JavaScript language tools for their implementation, essentials for working with JavaScript documentation.

Object-oriented programming

Classes, constructors, heredity, polymorphism and interface, possibilities of multiple heredity (mixins), objects and the keyword “this”.

Modular applications

Dividing apps into modules (require vs. import, export), visibility of variables, objects and functions, working with modules.

Working with files, data types and advanced asynchronicity

The Node.js module for working with files, advanced work with asynchronous tasks (async/await, Promise), the JSON format.

Advanced collection work

Work with fields, associative fields and subsets by means of inbuilt methods. Immutability and reference.

Exceptions and error processing

Fundamentals of working with exceptions, the try-catch-finally blocks.

Advanced work with strings

Advanced work with strings by means of inbuilt methods, regular expressions, using regular expressions in JavaScript.

Testing and documentation

Test types, the process of testing (preparing, performing and evaluating tests), forming unit tests and source code documentation principles.