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Computer Science with Java – Intermediate Level

Building upon our Java for beginners course, this course extends the concepts to more intermediate levels so that students can better use Java in computer science or software development, with deeper insight into the workings of the code.

  • Skill Level: Intermediate
Difficulty

Learning outcomes

By the end of this course, students will:

  • Advanced programming skills with Java
  • In-depth understanding of Java code structures, such as for loops, objects, and recursive functions.
  • Deep understanding of Object Oriented Programming Concepts
  • Knowledge on designing algorithms to solve computation tasks.
  • Ability to extend Java by using various libraries
  • Skills to optimize code for speed and clarity

Upcoming Courses/Workshops

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FEATURED MENTOR

James

Machine Learning Researcher

James is undertaking a Master’s degree in Mechano-Informatics at Tokyo University, researching applications of Machine Learning in Computer Vision. He is fascinated by all things AI and hopes that he can contribute to research ensuring safe AI that is beneficial to society.

Lesson 1

Sorting & searching

  1. Binary Search algorithm implementation
  2. Quick Sort
  3. Binary search and Quick Sort by case studies
Lesson 2

Object Oriented Programming (OOP)

  1. What is a Class
  2. Introduction to OOP concepts: Encapsulation, Inheritance, Abstraction and Polymorphism
  3. Polymorphism
  4. OOP by case studies
Lesson 3

Design patterns with Java

  1. Singleton
  2. Adapter
  3. Composite
Lesson 4

SOLID principles

  1. What are the Robert C. Martin’s best principles
  2. Single responsibility principle
  3. Open/closed principle
  4. Liskov substitution principle
  5. Interface segregation principle
  6. Dependency inversion principle
Lesson 5

Red-Black Binary Tree and Object Oriented Programming

  1. Binary Tree vs Red-Black Binary Tree
  2. Object Oriented Programming by case study
Lesson 6

Mini project

Build a skeleton of online shop using OOP programming

Lesson 7

Dynamic programming part 1

  1. Dynamic programming by case study
  2. Coding review exercises
Lesson 8

Dynamic programming part 2

  1. Memoization
  2. The Coin Change Problem
  3. Fibonacci Modified
Lesson 9

Introduction to web programming

  1. ARP
  2. TCP/IP
  3. HTTP
  4. JavaScript Object Notation
  5. Building RESTful APIs
Lesson 10

Mini project

  1. Build an online shop using OOP and web programming
  2. Building RESTful APIs

Recommended after this course

Computer Science with Java – Advanced Level

Gain advanced programming skills with Java. Acquire knowledge how to build APIs. Develop fundamental understanding of databases and how they scale.

Difficulty
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