Intro To Computer Science With Python & Jupyter (UNIT01)

Intro To Computer Science With Python & Jupyter (UNIT01), available at $19.99, has an average rating of 5, with 10 lectures, based on 1 reviews, and has 1027 subscribers.

You will learn about You will gain experience in coding with Python and Markdown using Jupyter Notebooks. This course will give you a good introduction to basic coding concepts. We will discuss several issues in Computer Science including Computer History, Computer Ethics and Computer Literacy. Discussions will include the difference between the Central Processing Unit, the Arithmetic Logic Unit, the Memory Unit and managing IO. I will give the experience of sitting in my own college classroom where I have taught this material for decades! I will suggest outside sources and textbooks. This course is ideal for individuals who are This course is intended for anyone who would like to learn how to code for the first time. Also, anyone who would like to learn Python will benefit from this course. It is particularly useful for This course is intended for anyone who would like to learn how to code for the first time. Also, anyone who would like to learn Python will benefit from this course.

Enroll now: Intro To Computer Science With Python & Jupyter (UNIT01)

Summary

Title: Intro To Computer Science With Python & Jupyter (UNIT01)

Price: $19.99

Average Rating: 5

Number of Lectures: 10

Number of Published Lectures: 10

Number of Curriculum Items: 10

Number of Published Curriculum Objects: 10

Original Price: $49.99

Quality Status: approved

Status: Live

What You Will Learn

You will gain experience in coding with Python and Markdown using Jupyter Notebooks. This course will give you a good introduction to basic coding concepts.
We will discuss several issues in Computer Science including Computer History, Computer Ethics and Computer Literacy.
Discussions will include the difference between the Central Processing Unit, the Arithmetic Logic Unit, the Memory Unit and managing IO.
I will give the experience of sitting in my own college classroom where I have taught this material for decades! I will suggest outside sources and textbooks.

Who Should Attend

This course is intended for anyone who would like to learn how to code for the first time. Also, anyone who would like to learn Python will benefit from this course.

Target Audiences

This course is intended for anyone who would like to learn how to code for the first time. Also, anyone who would like to learn Python will benefit from this course.

Introduction To Computer Science with Python & Markdown on Jupyter Notebook is a great course for you if you have little to no experience coding in general or with Python in particular. This is a beginners’ course covering Functional Programming with Python, not Object Oriented Programming. I will also give you a background in Computer History, Computer Ethiics and Computer Literacy.

We will also explore the inner workings of the Central Processing Unit (CPU) and how it controls Input/Output (IO) devices and peripherals. We will investigate how the Arithmetic Logic Unit (ALU) makes computations in Binary and how the Memory Unit (MU) stores information in Hexadecimal. We will also learn how the ALU performs Boolean Logic and Logical Comparisons.

I hope to give you as close an experience as possible to the experience you would have if you took this course with me in my own classroom at the college! I’ve been teaching High School and College Math, Physics and Computer Science for over 30 years. I recently retired from High School teaching and would like to share my experience beyond the classroom. So, you’re in luck as I am currently converting my College Introduction To Computer Science class into this new format for the Udemy platform.

Hope you learn a lot!

Enjoy and Be Well,

Professor Garcia

aka MrG

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: LAB101 Arithmetic & Numerics

Lecture 3: LECTURE102 Converting To Decimal

Lecture 4: LAB103 Algebra & Symbolics

Lecture 5: LECTURE104 Converting From Decimal

Lecture 6: LAB105 Binomials & Loops

Lecture 7: LECTURE106 Adding & Subtracting

Lecture 8: LAB107 Solving Equations

Lecture 9: LECTURE108 Integers

Lecture 10: LECTURE109 preTEST1A

Instructors

Alvar Garcia-Fernandez
Teacher and Professor Applied Math, Physics & CompSci

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 0 votes
4 stars: 0 votes
5 stars: 1 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!

Menu