technifyed

ETH Zurich via edX

Agile Software Development

Overview

Learn fundamental agile concepts to enhance your software development skills.

What you'll learn

  • The key agile ideas
  • Agile principles, roles, practices, and artifacts
  • Pros and cons of the most popular agile methods
  • How to benefit from agile methods in general

Syllabus 5

  1. Context, the Agile Manifesto, Agile Methods, Official Agile Principles, Agile Values
  2. Principles, the enemy: Big Upfront Anything, organizational principles, technical principles, a few method-specific principles
  3. Roles, traditional manager roles, the three Scrum roles, other Agile roles
  4. Practices, meetings, development, release, testing, management
  5. Artifacts, from user stories to burndown charts, assessment on Agile methods

Skills you'll practise

PresentationsSoftware DevelopmentAgile Software DevelopmentComputer ScienceAgile Methodology

Advantages and disadvantages

Advantages

  • University courses you can audit for free, with lectures, readings and practice quizzes.
  • A verified certificate from the university if you pay for it.
  • Taught by ETH Zurich, one of the strongest names in its field.
  • Self-paced: start any time.
  • A clear syllabus (5 parts) you can see before you start.

Disadvantages

  • Graded assignments and the certificate need the paid track.
  • Audit access can expire a few weeks after the course ends.
  • Learning is free, but the certificate costs money.
  • Some parts (graded work, certificate) are paid.

Some points apply to every course of this kind; see how we rank.

Free to audit

  • Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
  • Paid: Graded assignments and the verified certificate (Certificate $50). Audit access may end after the course closes.

Before you start

None

Taught by

  • Bertrand MeyerProfessor

ETH Zurich is in Tier 1: world-leading universities and India's top institutes of our institution ranking (94/100).

Similar courses

Compare these

Harvard University · edX

Fundamentals of TinyML

4.567 ratings

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

Free to audit5 weeks, 2 - 4 hours per week

Harvard University · edX

Introduction to Data Science with Python

4.3174 ratings

Learn the concepts and techniques that make up the foundation of data science and machine learning.

Free to audit8 weeks, 3 - 5 hours per week

Harvard University · edX

CS50's Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.

Free to audit12 weeks, 5 - 14 hours per week

Harvard University · edX

Data Science: Building Machine Learning Models

4.4133 ratings

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Free to audit8 weeks, 2 - 3 hours per week

Harvard University · edX

CS50's Introduction to Programming with Python

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

Free to audit10 weeks, 3 - 6 hours per week

Harvard University · edX

Data Science: R Basics

4.4273 ratings

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

Free to audit8 weeks, 2 - 3 hours per week

Enter your email and the official page opens. Phone is optional.