• Python: all language features
• Layered architecture: console user interface, service, repository, domain, validation
• Patterns: basic GRASP (Expert, Creator, Controller, Low coupling, High cohesion), SOLID
• Case study: Manage grades

C project

• C: all language features
• Layered architecture: console user interface, service, repository, domain, validation
• Case study: Pharmacy

C++ project

• C++: all language features
• Layered architecture: console user interface, service, repository, domain, validation
• Patterns: GRASP, SOLID, basic GoF (Strategy, Template method)
• Case study: Manage movies

C++ GUI project

• Qt: basic features
• Layered architecture: graphical user interface, controller, service, repository, domain, validation
• Patterns: GoF (Observer)
• Case study: Manage movies

• data structure: Hash Table
• Case study: Set

Java GUI project

• Java: all language features
• JavaFx: basic features
• Layered architecture: graphical user interface, controller, service, repository, domain, validation
• Patterns: MVC, Observer, Decorator, Factory, Singleton, etc
• Case study: Manage grades

C# CLI project

• C#: all language features
• Layered architecture: console user interface, service, repository, domain, validation
• Patterns: Decorator, Factory, Singleton, etc
• Case study: Manage basketball tournament

Java client-server app

• Java: all language features
• Distributed application: client-server model
• Client: GUI JavaFX
• Communication protocol: RPC
• Sockets(TCP/IP), Multithreading, Proxy pattern
• Persistence: MySQL database
• Case study: Trip booking system

C# client-server app

• C#: all language features
• Distributed application: client-server model
• Client: Windows Forms Application
• Communication protocol: RPC
• Sockets, Multithreading, Proxy pattern
• Persistence: MySQL database
• Case study: Trip booking system

Java client-server RMI app

• Java: all language features
• Spring Framework: Spring RMI, Spring Data JPA
• Distributed application: client-server model
• Client: GUI JavaFX
• Communication protocol: RMI
• Persistence: MySQL database
• Case study: Bugs management system

Java client-server gRPC app

• Java: all language features
• Distributed application: client-server model
• Cross-platform app: Interface Definition Language, Protocol Buffers
• Client: GUI JavaFX
• Communication protocol: gRPC
• Persistence: MySQL database
• Case study: Trip booking system

C# gRPC server app

• C#: all language features
• Cross-platform app: Interface Definition Language, Protocol Buffers
• Communication protocol: gRPC
• Persistence: MySQL database
• Case study: Trip booking system

Java REST Services

• Java: all language features
• Spring Framework: Spring MVC
• REST API
• Distributed application: client-server model
• Communication protocol: HTTP
• Client: simple Java REST client
• Persistence: MySQL database
• Case study: entity CRUD operations: Trip

C# REST client

• Client: simple C# REST client
• Case study: entity CRUD operations: Trip

React web client

• React library(JavaScript): basic features(React components)
• Case study: entity CRUD operations: Trip

Javascript game

• HTML, CSS
• Javascript: basic language features(DOM manipulation)
• Client-side
• Case study: Memory Game

AJAX

• Client-side: HTML, CSS, Javascript(jQuery)
• Server-side: PHP
• HTTP protocol
• Case study: Tic Tac Toe

PHP

• Client-side: HTML, CSS
• Server-side: PHP(basic features, security)
• Case study: Photo upload system

Genetic Algorithm

• Python
• Case study: Travelling Salesman Problem

Ant Colony Optimization

• Python
• Case study: Travelling Salesman Problem

Machine learning - Linear Regression

• Python
• Supervised learning: regression problem
• Case study: predict Happiness level based on features: GDP, Freedom level, etc.

Machine learning - Gradient Descent

• Python
• Supervised learning: regression problem
• Case study: predict Happiness level based on features: GDP, Freedom level, etc.

Machine learning - Logistic Regression

• Python
• Supervised learning: classification problem
• Case study: Iris flower species

Machine learning - Artificial Neural Network

• Python
• Supervised learning: classification problem
• Case study: Iris flower species

Machine learning - kMeans

• Python
• Unsupervised learning: classification problem
• Case study: Emotion detection in text

• Java

Hybrid app - Ionic React

• Ionic React (TypeScript): components, state & lifecycle, reducers, context providers, hooks, web sockets, background tasks
• Capacitor
• Remote and local data persistence
• Communication with REST services: Axios
• Usage of device features: camera, file system, location, network
• Authentication: JWT standard
• Animations
• Case study: Pet adoption app

NodeJS REST services

• Koa (NodeJS)
• JWT authentication
• Web socket: push notifications
• Case study: for the Pet adoption mobile app

Android app

• Android (Kotlin): components, work manager, lifecycles, architecture
• Authentication: JWT standard
• Remote and local data persistence
• Communication with REST services: Retrofit
• Local persistence: Room library
• Case study: Pet adoption app

Java client-server app

• Java: all language features
• Distributed application: client-server model
• Sockets(TCP/IP), Proxy pattern
• Multithreading: thread pool, promise
• Case study: Show reservations

Java producer-consumer

• Java: all language features
• Producer-consumer problem: blocking queue, fine-grained synchronized linked list
• Case study: Sum of polynomials

• Notes management platform
• Frontend: Ionic React (TypeScript)
• Backend: Spring (Java)
• Persistence: Postgres

• Solidity: basic features
• Ethereum blockchain: basic features
• Case study: Ride sharing platform

Testing Java app

• Unit tests
• Integration tests
• JUnit, Mockito
• Case study: Pizza shop

Testing Web app

• Serenity, Selenium
• Automated use case tests: pages, steps
• Case study: testing Pet adoption app

• Automatic event attendance registration using:
  • QR codes
  • geofencing
  • beacons
  • Google Nearby technology
• Mobile client: Android
• Backend: Firebase (auth, storage, realtime database)
• Google Calendar integration
• Authentication: Google accounts
• Beacons: Kontakt.io (iBeacon protocol)