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Course Outline

Introduction

  • Defining programming and the importance of dedicating attention to it
  • The history of programming
  • Opportunities for automating tasks through software
  • The role of programmers and computers in enterprise environments
  • Current market trends in programming development
  • Declarative versus imperative programming: How versus What
  • The Turing machine
  • Compilation, interpretation, and "on the fly" execution

Review of Logic and Boolean Algebra

  • Predicates
  • Logical sentences
  • Tautologies
  • Boolean algebra

Your First Program

  • Structural perspectives
  • Functional approaches
  • Object-based design
  • Alternative methodologies

Basic Data Types

  • String representation
  • Integers
  • Floating-point numbers
  • Boolean values
  • Null types
  • Blank or uninitialized variables
  • Strong versus weak typing

Data Structures

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

Operators

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

Control Flow

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

Creating Reusable Code

  • Functional Programming
  • Object-Oriented Programming

Functional Programming Paradigms

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

Object-Oriented Programming Paradigms

  • Representing real-world entities through philosophy and ontology
  • Determining what constitutes an object or 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 object relationships
  • Modules, packages, and libraries
  • API sharing
  • Modeling systems as classes and objects
  • Describing and programming relationships between classes
  • Viewing programs from a business perspective

Best Practices in Programming

  • Common pitfalls and errors
  • High-level code interpretation at the low level
  • Code optimization techniques
  • The KISS principle
  • The DRY principle
  • The "Worse is Better" principle
  • Separating abstraction from implementation
  • Methods for detecting logic errors in programs
  • Programming conventions
  • Code commenting standards
  • Software metrics

Overview of Technologies and Languages

  • Application domains for these languages
  • Key language features
  • Development prospects
  • Future development directions: algorithmic improvements, code optimization, implementation patterns, design patterns, architectural patterns, and analytical standards
  • Reducing control structures through artificial intelligence and automated decision-making
  • Selecting the right platform: personalized consultations
 35 Hours

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