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LaTeX A-Z: From Beginner to Advance in Less than 3 hour

person icon Nouman Azam

4.1

LaTeX A-Z: From Beginner to Advance in Less than 3 hour

Learn from beginner to advance for generating professional quality documents with minimum of effort using LaTeX

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Nouman Azam

category icon Design,Graphic Design & Illustration,LaTeX

Lectures -29

Resources -13

Duration -3 hours

4.1

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Course Description

This course illustrate the essential components required to create a professional quality documents with the LaTeX. LaTeX is frequently used to write thesis, reports, scientific papers for journals, conferences and making presentations. The essential beauty of LaTeX is that it separates the task of document layout/visual representation from that of the contents of the documents. As a result you pay more attention to the actual contents and are not distracted by the visual appearence. It also automates many of the tedious processes involved in writing a professional publications such as managment of references, visual layout and formatting styles.

With LaTeX, you will find easy and effective management of references, figures, tables, footnotes, formatting, mathematical equations, algorithms, scientific proofs, that have no match compared to the the conventional document setting and word processing software.

The course is design in a way that it will introduce you to  tools that are freely available online. The examples and other instructional material are included for you to download and practice.

At the end of this course,  

  • You are confident user of LaTeX. 
  • You will be able to create your own document in LaTeX. 
  • You will learn about different elements of creating professional documents such as how to manage references, figures, tables, footnotes, formatting, mathematical equations, algorithms, scientific proofs and many others.
  • You will be able to create well formatted mathematical equations, algorithms, and proofs. 

Who this course is for:

  • Researchers, Entrepreneurs, Instructors, College Students, Engineers, Programmers, Simulators who wants to quickly create front ends for their users to run their code and projects .

Goals

What will you learn in this course:

  • You are confident user of LaTeX.

  • You will be able to create your own documents in LaTeX.

  • You will be able to create well formatted mathematical equations, algorithms, and proofs.

  • You will learn about different elements of creating professional documents such as how to manage references, figures, tables, footnotes, formatting, mathematical equations, algorithms, scientific proofs and.........

Prerequisites

What are the prerequisites for this course?

  • This course is self explainatory and do not require any prior knowledge of LaTeX

LaTeX A-Z: From Beginner to Advance in Less than 3 hour

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction to the course and instructor
2 Lectures
  • play icon Introduction to Latex 03:24 03:24
  • play icon Course outlines 01:21 01:21
Setting up LaTeX and creating your first document
3 Lectures
Tutorialspoint
Basic Formatting
3 Lectures
Tutorialspoint
Including Tables and Graphics
4 Lectures
Tutorialspoint
Science and Maths Essentials
4 Lectures
Tutorialspoint
Referencing and citations
2 Lectures
Tutorialspoint
Advance techniques
9 Lectures
Tutorialspoint
Bonus material
2 Lectures
Tutorialspoint

Instructor Details

Nouman Azam

Nouman Azam

Your MATLAB Professor

I am Dr. Nouman Azam and i am Assistant Professor in Computer Science. I teach online courses related to MATLAB Programming to more than 10,000 students on different online plateforms. 

The focus in these courses is to explain different aspects of MATLAB and how to use them effectively in routine daily life activities. In my courses, you will find topics such as MATLAB programming, designing gui's, data analysis and visualization. 

Machine learning techinques using MATLAB is one of my favourate topic. During my research career i explore the use of MATLAB in implementing machine learning techniques such as bioinformatics, text summarization, text categorization, email filtering, malware analysis, recommender systems and medical decision making.

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