Get in Touch

Course Outline

Introduction

  • What is programming and why it deserves your attention
  • The history of programming
  • Opportunities for automating tasks through software
  • The role of the programmer and the computer in the enterprise
  • Current market trends in programming and development
  • Declarative versus imperative programming: How and What?
  • The Turing machine
  • Consolidation, compilation, and "on the fly" interpretation

Review of Logic and Boolean Algebra

  • Predicates
  • Logical statements
  • Tautologies
  • Boolean algebra

Your First Program

  • Structural approach
  • Functional approach
  • Object-oriented approach
  • Other paradigms

Primitive Data Types

  • String representation
  • Integers
  • Floating-point numbers
  • Booleans
  • Null type
  • Blank or uninitialized values
  • Strong versus 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

Program Control

  • If and if-else statements
  • Goto statements and a discussion on their application issues
  • Switch statements
  • For loop and for-in
  • While loop and do-while
  • Foreach loop
  • Loop termination

Creating Reusable Code

  • Functional Programming
  • Object-Oriented Programming

Functional Programming Paradigms

  • Defining functions
  • Functions and procedures
  • Foundations of lambda calculus
  • Function arguments
  • Returning values
  • Functions as arguments
  • Anonymous functions
  • Closures
  • Recursion

Object-Oriented Programming Paradigms

  • Representation of real-world entities in philosophy and ontology
  • Deciding what constitutes an object versus other types
  • Class declaration
  • Creating class instances
  • Fields and object state
  • Methods as object behavior
  • Abstraction
  • Encapsulation
  • Inheritance
  • Polymorphism
  • Association and aggregation
  • Delegation and separation of object relationships
  • Modules, packages, and libraries
  • API sharing
  • Modeling systems as classes and objects
  • Describing and programming relationships between classes
  • Programming from a business perspective

Best Programming Practices

  • Pitfalls and common errors
  • High-level code interpretation in low-level contexts
  • Code optimization
  • The KISS principle
  • The DRY principle
  • "Worse is Better" principle
  • Separating abstraction from implementation
  • Methods for detecting logic errors in programs
  • Code naming conventions
  • Code commenting
  • Software metrics

Overview of Technologies and Languages

  • Application domains of these languages
  • Key features of each language
  • Development prospects
  • Future development directions: algorithmic approaches, code optimization, implementation patterns, design patterns, architectural patterns, and analytical standards
  • Reduction of control structures: the use of 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