Coding

Coding, also known as programming, is the process of writing instructions for a computer to execute. These instructions are written in programming languages, which are specially designed languages used to communicate with computers. Understanding the fundamentals of coding and programming languages is crucial for anyone looking to pursue a career in software development, data science, artificial intelligence, and many other tech fields.

01

Python

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together.

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02

Java

Java is a widely-used programming language for coding web applications. Java is a multi-platform, object-oriented, and network-centric language that can be used as a platform in itself. It is a fast, secure, reliable programming language for coding everything from mobile apps and enterprise software to big data applications and server-side technologies.

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03

Javascript

JavaScript is a programming language that developers use to make interactive webpages. From refreshing social media feeds to displaying animations and interactive maps, JavaScript functions can improve a website's user experience. As a client-side scripting language, it is one of the core technologies of the World Wide Web.

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Key Programming concepts

Syntax and Semantics

  • Syntax refers to the set of rules that defines the combinations of symbols that are considered to be correctly structured programs in a language.
  • Semantics is about the meaning of the syntactically correct statements. It determines what the instructions do.

Variables and Data Types

  • Variables are storage locations in a program that hold data which can be changed during program execution. They are identified by names (identifiers).

  • Data Types specify the type of data a variable can hold, such as integers, floating-point numbers, characters, strings, and booleans.

OPerators

  • Arithmetic Operators: Used to perform mathematical operations (e.g., +, -, *, /, %).

  • Relational Operators: Used to compare two values (e.g., ==, !=, >, <, >=, <=).

  • Logical Operators: Used to combine multiple boolean expressions (e.g., &&, ||, !).

Control Structures

  • Conditional Statements: Allow the program to make decisions (e.g., if, else, switch).

  • Loops: Allow the program to execute a block of code multiple times (e.g., for, while, do-while).

Functions and Procedures

  • Functions: Blocks of code designed to perform a specific task, which can take inputs (parameters) and return a value.
  • Procedures: Similar to functions but do not return a value.
  • Data Structures
    • Arrays: Collections of elements, all of the same type, stored in contiguous memory locations.
    • Lists: Collections of elements that can grow or shrink in size dynamically.
    • Dictionaries/Maps: Collections of key-value pairs, where each key is unique.
    • Stacks and Queues: Data structures that follow specific rules for adding and removing elements (LIFO for stacks, FIFO for queues).

Object-Oriented Programming (OOP)

  • Classes and Objects: Classes are blueprints for creating objects (instances), encapsulating data and methods.
  • Inheritance: Mechanism by which one class can inherit fields and methods from another.
  • Polymorphism: Ability of different objects to respond, each in its own way, to identical messages.
  • Encapsulation: Wrapping of data and methods into a single unit (class) and restricting access to some of the object's components.
  • Abstraction: Hiding the complex implementation details and showing only the necessary features of an object.

Error Handling

  • Exceptions: Mechanisms to handle runtime errors, allowing the normal flow of the program to be maintained (e.g., try, catch, finally).

File I/O

  • Reading and Writing Files: Operations that allow a program to read data from and write data to files, essential for data persistence.

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Course Delivery Methods

  • Lectures and Readings: For theoretical understanding.
  • Hands-on Workshops: Practical application of tools and techniques.
  • Group Projects: Collaboration and real-world problem solving.
  • Guest Lectures: Industry experts sharing their insights.
  • Online Resources: Videos, articles, and additional readings.

Assessment Methods

  • Quizzes and Exams: To test theoretical knowledge.
  • Assignments and Projects: Practical application and problem-solving.
  • Presentations: Communication skills assessment.
  • Capstone Project: Comprehensive evaluation of all learned skills.

This curriculum aims to provide a well-rounded education in Business Analysis, preparing students for various roles in the industry with a solid foundation in both theory and practice.