Foundations of Computer Science: Theory and Practice

Foundations of Computer Science: Theory and Practice, available at Free, has an average rating of 3.35, with 44 lectures, 41 quizzes, based on 713 reviews, and has 23197 subscribers.

You will learn about Develop the ability to write better and more efficient programs Have a better understanding of fundamental topics of Computer Science Acquire necessary knowledge that will help you crack coding interviews Fast track your application for SE Factory's offline courses This course is ideal for individuals who are Anyone who wants to learn the fundamental topics of Computer Science or Computer Science or Software Engineering student who needs a refersher or Enthusiasts who want the ability to evaluate their code and optimize it for greatest efficiency It is particularly useful for Anyone who wants to learn the fundamental topics of Computer Science or Computer Science or Software Engineering student who needs a refersher or Enthusiasts who want the ability to evaluate their code and optimize it for greatest efficiency.

Enroll now: Foundations of Computer Science: Theory and Practice

Summary

Title: Foundations of Computer Science: Theory and Practice

Price: Free

Average Rating: 3.35

Number of Lectures: 44

Number of Quizzes: 41

Number of Published Lectures: 44

Number of Published Quizzes: 41

Number of Curriculum Items: 88

Number of Published Curriculum Objects: 85

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Develop the ability to write better and more efficient programs
Have a better understanding of fundamental topics of Computer Science
Acquire necessary knowledge that will help you crack coding interviews
Fast track your application for SE Factory's offline courses

Who Should Attend

Anyone who wants to learn the fundamental topics of Computer Science
Computer Science or Software Engineering student who needs a refersher
Enthusiasts who want the ability to evaluate their code and optimize it for greatest efficiency

Target Audiences

Anyone who wants to learn the fundamental topics of Computer Science
Computer Science or Software Engineering student who needs a refersher
Enthusiasts who want the ability to evaluate their code and optimize it for greatest efficiency

Master a selection of Algorithms and how to analyze their performance using complexity analysis
Understand the different data structures like LinkedLists, Stacks, Queues, Trees, Graphs (etc.) and use them to solve problems efficiently
Learn these essential topics using Python. Python is easy and quite fun!

Study groups

Study groups will be organized in Beirut, Lebanon once a week during which you’ll be able to go over the material that you didn’t understand, ask questions and solve problems with our experts. Schedule will be sent to all students taking this course.

Who is this course for?

Anyone who wants to learn the fundamental topics of Computer Science. A good understanding of Data Structures and Algorithms will take you a long way as a programmer
As an enthusiast you will learn the ability to evaluate your code and optimize it for greatest efficiency. Data Structures will greatly enhance how you write your code and how to effectively store and manipulate data in memory
As a former Computer Science or Software Engineering student this course will be a strong refresher

Enroll in this FREE course and you will learn:

Python (Programming Language)
Algorithms (Sort, Search, Binary Search Tree Insert/Delete/Search, Depth First Search, Breadth First Search)
Complexity Analysis (Big-O)
Data Structures (Linked List, Stack, Queue, Priority Queue, Trees, Graphs)

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome to the Foundations of Computer Science!

Lecture 2: Python, why we're using it in this course

Lecture 3: Scalar objects, the simple types

Lecture 4: The types of objects in Python

Lecture 5: Arithmetic operators

Lecture 6: Variables, using names instead of just values

Lecture 7: Operator precedence

Lecture 8: Handling input and output

Lecture 9: Comparisons

Chapter 2: Part 1 (Difficulty: Beginner)

Lecture 1: Introducing Strings

Lecture 2: Logic Operators

Lecture 3: Control Flow – If statement

Lecture 4: Control Flow – Loops (while, for)

Lecture 5: Control Flow – Break

Lecture 6: Control Flow – While vs For

Lecture 7: Strings slicing and encoding

Lecture 8: Variable scope and functions

Lecture 9: Strings in depth

Lecture 10: Introducing functions

Lecture 11: Functions and recursion

Lecture 12: Data structures introduction

Lecture 13: Lists (part 1)

Lecture 14: Tuples

Lecture 15: Lists (part 2) – Aliases and Sorting

Lecture 16: Dictionaries

Chapter 3: Part 2 (Difficulty: Beginner-Intermediate)

Lecture 1: Exponential and Logarithmic Function Review

Lecture 2: Algorithmic Complexity Rationale

Lecture 3: Big O Notation (Part 1)

Lecture 4: Big O Notation (Part 2) – Quadratic Complexity Example

Lecture 5: Bisection Search

Lecture 6: Sorting Algorithms Intro

Lecture 7: Bubble Sort

Lecture 8: Selection Sort

Chapter 4: Part 3 (Difficulty: Intermediate)

Lecture 1: Introduction to Classes

Lecture 2: Linked List

Lecture 3: Stack

Lecture 4: Queue

Lecture 5: Priority Queue

Lecture 6: Hash Table

Lecture 7: Trees

Lecture 8: Binary Search Tree (BST)

Lecture 9: Graphs

Lecture 10: Depth First Search (DFS)

Lecture 11: Breadth First Search (BFS)

Instructors

SE Factory
Leading coding bootcamp in Lebanon

Rating Distribution

1 stars: 30 votes
2 stars: 24 votes
3 stars: 110 votes
4 stars: 236 votes
5 stars: 313 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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