Programming in Practice - Information Computation

Information Computation Fundamentals, Information Implementation Using Types, Algorithm Implementation Design Pattern
4.25 (4 reviews)
Udemy
platform
English
language
Software Engineering
category
instructor
Programming in Practice - Information Computation
81
students
7 hours
content
Dec 2024
last update
$19.99
regular price

Why take this course?

Based on the detailed description provided, it seems you are outlining the key topics and learning outcomes of a course on computer program development, with a focus on strongly typed programming languages, custom types, algorithm implementation, and layered design patterns. The course also emphasizes practical applications, including the use of dependency injection for effective separation of concerns and inter-layer communication. Here's a synthesized overview of what such a course might cover:

Course Overview: Computer Program Development and Design Patterns

1. Introduction to Strongly Typed Languages and Custom Types

  • Understanding the importance of types in ensuring program consistency and robustness.
  • Learning how to define and use custom types to represent process information.
  • Exploring object-oriented programming concepts such as abstraction, inheritance, and encapsulation.
  • Addressing polymorphic problems and organizing software using these concepts.

2. Text Management Mechanisms for Type Definitions

  • Analyzing the role of anonymous, partial, and generic types in data representation.
  • Understanding how to use autogenerated types alongside developer-defined types.
  • Learning about metadata-driven type inference and its benefits.

3. Algorithm Implementation and Program Design

  • Discussing the lifecycle of computer programs and the importance of algorithmic thinking.
  • Applying the separation of concerns to improve productivity and code maintainability.
  • Introducing layered design patterns for modular, scalable, and maintainable software architectures.

4. Layered Design Pattern Deep Dive

  • Understanding the benefits of a layered approach to software design.
  • Learning about the separation of concerns within the presentation, logic, and data layers.
  • Exploring how types can be grouped and managed across different layers.

5. Inter-Layer Communication Mechanisms

  • Investigating bidirectional communication between layers at runtime.
  • Examining various methods for inter-layer communication, including properties, callbacks, events, reactive programming, and dependency injection.

6. Dependency Injection Design Pattern

  • Understanding the dependency injection pattern as a means to achieve abstraction in type usage.
  • Demonstrating independent testing through the decoupling of concrete class instances from their creation points.
  • Exploring practical examples to illustrate the benefits and implementation of dependency injection.

7. Practical Application and Real-World Scenarios

  • Applying design patterns in real-world scenarios for better modularity, testability, and code clarity.
  • Analyzing case studies that showcase effective inter-layer communication and dependency injection usage.

8. Final Project/Assessment

  • Encouraging students to apply the concepts learned throughout the course to a comprehensive project or assessment task.
  • Assessing the ability to design, implement, and test a layered application with effective use of custom types, design patterns, and inter-layer communication strategies.

The course aims to equip students with the knowledge and skills necessary to create well-designed, maintainable, and scalable software applications using modern programming paradigms and design patterns. By the end of the course, students should be able to navigate complex problems related to program architecture, inter-layer communication, and dependency management with confidence and proficiency.

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4428312
udemy ID
03/12/2021
course created date
04/08/2023
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