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Course Outline

Introduction

  • What is programming and why it warrants attention
  • History of programming
  • Opportunities to automate tasks using software
  • The role of the programmer and the computer in an enterprise
  • Programming today: current market trends
  • Declarative vs. imperative programming: How vs. What?
  • Turing machine
  • Compilation, interpretation, and "on-the-fly" execution

Review of Logic and Boolean Algebra

  • Predicates
  • Logical sentences
  • Tautologies
  • Boolean algebra

Writing the First Program

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

Basic 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

Program Control Flow

  • If and if-else statements
  • Goto statements and associated application issues
  • Switch statements
  • For and for-in loops
  • While and do-while loops
  • Foreach loops
  • Loop termination

Creating Reusable Code

  • Functional Programming
  • Object-Oriented Programming

Functional Programming Paradigms

  • Functions: What are they?
  • Functions vs. procedures
  • Fundamentals of lambda calculus
  • Function arguments
  • Returning values
  • Functions as arguments
  • Anonymous functions
  • Closures
  • Recursion

Object-Oriented Programming Paradigms

  • Representing real-world entities in philosophy and ontology
  • Deciding between objects and 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
  • Programming from a business perspective

Best Programming Practices

  • Pitfalls and common errors
  • High-level code interpreted through low-level concepts
  • Code optimization
  • KISS principle
  • DRY principle
  • "Worse is Better" principle
  • Separation of abstraction from implementation
  • Methods for detecting logical errors in programs
  • Code formatting conventions
  • Code commenting
  • Software metrics

Overview of Technologies and Languages

  • Application areas of these languages
  • Key features of each language
  • Development prospects
  • Future development directions: algorithms, code optimization, implementation patterns, design patterns, architectural patterns, and analytical standards
  • Reducing control structures: the use of artificial intelligence and automated decision-making
  • Choosing the right platform: individual consultations
 35 Hours

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