Introduction to Programming

The purpose of the training is to provide a basis for programming from the ground up to the general syntax of programming paradigms. The training is supported by examples based on programming languages ​​such as C, Java, Python, Scala, C #, Closure and JavaScript. During the training, participants gain a general understanding of both the programming patterns, best practices, commonly used design and review of the implementation of these topics through various platforms. Each of the issues discussed during the course are illustrated with examples of both the most basic and more advanced and based on real problems.

Introduction

• What is programming and why should devote his attention
• History of programming
• Opportunity to automate tasks using the software
• The role of the programmer and the computer in the enterprise
• Programming today the development of the current market trends
• Declarative and imperative programming. How or What?
• Turing machine
• Consolidation, compilation and interpretation "on the fly".

Reminder issues of logic and Boolean algebra

• predicates
• logical sentences
• tautologies
• Boolean algebra

The first program

• structurally
• functionally
• object
• And how else?

Simple types

• Representation of strings
• Integers
• Floating-point numbers
• Boolean
• Type Null
• A blank or Uninitialized
• Strong and weak typing

Data structures

• Concepts FIFO and FILO
• Stacks
• Queues
• Declaring arrays and lists
• Indexing
• Maps
• Records
• Trees

Operators

• Assignment Operators.
• Arithmetic operators.
• comparison Operators
• And a comparison of the values ​​in different languages
• Bitwise
• Concatenation
• Increment and decrement operators
• The most common errors

Controlling the program

• The if, if else instructions
• Goto instructions, discuss the problems of application.
• The switch
• The for loop, for-in
• The while loop, do-while
• foreach loop
• Stopping loop

Creating a reusable code

• Functional Programming
• Object-Oriented Programming

Functional programming paradigms

• What is the function of
• Function and procedure
• Fundamentals of lambda calculus
• Function Arguments
• Returning values
• Functions as arguments
• Anonymous functions
• Closures
• Recursion

The paradigms of object-oriented programming

• Representation of entities from the real world entities in philosophy, ontology
• Deciding what you want to object, or other types of
• Declaration of classes
• Creating instances of classes
• Fields, a state of the object
• Methods, as the behavior of an object
• abstraction
• Encapsulation
• Inheritance
• polymorphism
• Association and aggregation
• Delegation and separation of relationships between objects
• Modules, packages and libraries
• Sharing API
• The modeling of the system as classes and objects
• Describing and programming relationships between classes
• Program from a business perspective

Good programming practice

• Pitfalls and common errors
• High-level code in the interpretation of low-level
• Code optimization
• KISS principle
• DRY principle
• Principle Worse is Better
• Separation abstraction of implementation
• Methods of error detection logic programs
• Conventions godowania
• Commenting the code
• Software Metrics

Overview of these technologies and languages

• The area of application of these languages
• The main features of language
• Prospects for development
• The future direction of development: algorithmic, optimization of code, implementing patterns, design patterns, architectural patterns, analytical standards
• Reduction of the control structure - the use of artificial intelligence and automated decision-making
• Which platform to choose? Individual consultations