Get in Touch

Course Outline

Introduction

  • What is programming and why it deserves your attention
  • History of programming
  • Opportunities to automate tasks using software
  • The role of the programmer and the computer in the enterprise
  • Current programming market trends
  • Declarative vs. imperative programming: How or What?
  • The Turing machine
  • Consolidation, compilation, and interpretation "on the fly".

Review of Logic and Boolean Algebra

  • Predicates
  • Logical sentences
  • Tautologies
  • Boolean algebra

Your First Program

  • Structural approach
  • Functional approach
  • Object-based approach
  • Other methodologies

Primitive Data Types

  • String representation
  • Integers
  • Floating-point numbers
  • Boolean values
  • Null type
  • Blank or uninitialized values
  • Strong vs. weak typing

Data Structures

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

Operators

  • Assignment operators.
  • Arithmetic operators.
  • Comparison operators
  • Comparing values across different languages
  • Bitwise operators
  • Concatenation
  • Increment and decrement operators
  • Common errors

Control Flow

  • if and if-else statements
  • goto statements and their application issues.
  • switch statements
  • for loops, for-in loops
  • while loops, do-while loops
  • foreach loops
  • Loop termination

Creating Reusable Code

  • Functional Programming
  • Object-Oriented Programming

Functional Programming Paradigms

  • Understanding functions
  • Functions versus procedures
  • Fundamentals of lambda calculus
  • Function arguments
  • Returning values
  • Functions as arguments
  • Anonymous functions
  • Closures
  • Recursion

Object-Oriented Programming Paradigms

  • Representing real-world entities through philosophy and ontology
  • Determining objects versus other types
  • Class declaration
  • Creating class instances
  • Fields: the state of an object
  • Methods: the behavior of an object
  • Abstraction
  • Encapsulation
  • Inheritance
  • Polymorphism
  • Association and aggregation
  • Delegation and separation of relationships between objects
  • Modules, packages, and libraries
  • API sharing
  • Modeling the system as classes and objects
  • Describing and programming relationships between classes
  • Program perspective from a business standpoint

Best Programming Practices

  • Pitfalls and common errors
  • High-level code interpreted at a low level
  • Code optimization
  • KISS principle
  • DRY principle
  • Worse is Better principle
  • Separation of abstraction from implementation
  • Methods for detecting errors in logic programs
  • Coding conventions
  • Code commenting
  • Software metrics

Overview of Technologies and Languages

  • Areas of application for these languages
  • Key features of the language
  • Development prospects
  • Future development directions: algorithmic approaches, code optimization, implementing patterns, design patterns, architectural patterns, and analytical standards
  • Reduction of control structures: using artificial intelligence and automated decision-making
  • Choosing the right platform: Individual consultations
 35 Hours

Number of participants


Price per participant

Testimonials (5)

Upcoming Courses

Related Categories