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Programming Languages, Part B

Approx. 17 hours to complete

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Course Summary

This course is the second part of a two-part series on Programming Languages, focusing on type systems and language semantics. Students will learn about advanced programming concepts and how to apply them to different programming languages.

Key Learning Points

Gain a deep understanding of programming language semantics and type systems
Learn how to apply advanced programming concepts to different programming languages
Develop problem-solving skills and improve code quality

Job Positions & Salaries of people who have taken this course might have

- USA: $86,000 - $154,000
- India: ₹480,000 - ₹2,500,000
- Spain: €23,000 - €50,000
- USA: $86,000 - $154,000
- India: ₹480,000 - ₹2,500,000
- Spain: €23,000 - €50,000
- USA: $68,000 - $126,000
- India: ₹310,000 - ₹1,400,000
- Spain: €22,000 - €40,000
- USA: $86,000 - $154,000
- India: ₹480,000 - ₹2,500,000
- Spain: €23,000 - €50,000
- USA: $68,000 - $126,000
- India: ₹310,000 - ₹1,400,000
- Spain: €22,000 - €40,000
- USA: $56,000 - $102,000
- India: ₹260,000 - ₹1,200,000
- Spain: €21,000 - €35,000

Learning Outcomes

Understand the semantics and type systems of programming languages
Apply advanced programming concepts to different programming languages
Improve problem-solving skills and code quality

Prerequisites or good to have knowledge before taking this course

Completion of Programming Languages, Part A
Familiarity with at least one programming language

Course Difficulty Level

Intermediate

Course Format

Online
Self-paced

Similar Courses

Programming Languages, Part A
Compilers
Computer Science: Programming with a Purpose

Related Education Paths

Related Books

Description

[As described below, this is Part B of a 3-part course. Participants should complete Part A first -- Part B "dives right in" and refers often to material from Part A.]

This course is an introduction to the basic concepts of programming languages, with a strong emphasis on functional programming. The course uses the languages ML, Racket, and Ruby as vehicles for teaching the concepts, but the real intent is to teach enough about how any language “fits together” to make you more effective programming in any language -- and in learning new ones. This course is neither particularly theoretical nor just about programming specifics -- it will give you a framework for understanding how to use language constructs effectively and how to design correct and elegant programs. By using different languages, you will learn to think more deeply than in terms of the particular syntax of one language. The emphasis on functional programming is essential for learning how to write robust, reusable, composable, and elegant programs. Indeed, many of the most important ideas in modern languages have their roots in functional programming. Get ready to learn a fresh and beautiful way to look at software and how to have fun building it. The course assumes some prior experience with programming, as described in more detail in the first module of Part A. Part B assumes successful completion of Part A. The course is divided into three Coursera courses: Part A, Part B, and Part C. As explained in more detail in the first module of Part A, the overall course is a substantial amount of challenging material, so the three-part format provides two intermediate milestones and opportunities for a pause before continuing. The three parts are designed to be completed in order and set up to motivate you to continue through to the end of Part C. Week 1 of Part A has a more detailed list of topics for all three parts of the course, but it is expected that most course participants will not (yet!) know what all these topics mean.

Outline

Introduction, Course-Wide Information, and Software Installation (Start Here)
Welcome to Part B
Overview of Part B Concepts
Part B Course Structure
Start Here!
Part B Software Installation and Use: Racket and DrRacket

Section 5 and Homework 4 (First Module with Racket)
Introduction to Racket
Racket Definitions, Functions, Conditionals
Racket Lists
Syntax and Parentheses
Parentheses Matter! (Debugging Practice)
Dynamic Typing
Cond
Local Bindings
Toplevel Bindings
Mutation with set!
The Truth About Cons
mcons For Mutable Pairs
Delayed Evaluation and Thunks
Avoiding Unnecessary Computations
Delay and Force
Using Streams
Defining Streams
Memoization
Macros: The Key Points
Optional: Tokenization, Parenthesization, and Scope
Optional: Racket Macros With define-syntax
Optional: Variables, Macros, and Hygiene
Optional: More Macro Examples
Section 5 Welcome Message
Notes and Tips for Section 5

Section 6 and Homework 5 (Second Module with Racket)
Datatype-Programming in Racket Without Structs
Datatype-Programming in Racket With Structs
Advantages of Structs
Implementing Programming Languages
What Your Interpreter Can and Cannot Assume
Implementing Variables and Environments
Implementing Closures
Optional: Are Closures Efficient?
Racket Functions As “Macros” For Interpreted Language
Section 6 Welcome Message
Notes and Tips for Section 6

Section 7 Including a Quiz
ML Versus Racket
What is Static Checking?
Soundness and Completeness
Weak Typing
Static Versus Dynamic Typing, Part One
Static Versus Dynamic Typing, Part Two
Optional: eval and quote
Part B Wrap-Up and Part C Preview
Section 7 Welcome Message
Quiz Instructions
Section 7 Quiz

Summary of User Reviews

Discover the world of programming languages with Programming Languages Part B by Coursera. This course has received high praise from users for its engaging curriculum and expert instructors. One key aspect that many users found particularly good is the practical approach to learning, which allows students to apply what they learn in real-world scenarios.

Pros from User Reviews

Engaging and interactive curriculum
Expert instructors with practical experience
Real-world applications of programming languages
Flexible schedule and self-paced learning
Great community support and resources

Cons from User Reviews

Some users found the course material to be too basic
Limited feedback and interaction with instructors
Some technical issues with the platform
Not suitable for advanced learners
Course content may not be relevant to all programming fields

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