About this course: 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. 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. The three parts are not quite equal in length: Part A is almost as substantial as Part B and Part C combined. 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.
Who is this class for: The course assumes students are familiar with programming covered by most introductory courses, but it is explicitly designed not to be a particularly advanced course. Students should be comfortable with variables, conditionals, arrays, linked lists, stacks, and recursion (though recursion will be reviewed and expanded upon), and the difference between an interface and an implementation. Students should be eager to write programs in languages new to them. Part C of the course analyzes basic object-oriented concepts and contrast them with those of other languages, so familiarity with Java or a closely related language (e.g., C#) might be helpful for Part C, but it is not necessary for the assignments. This course is based on a course designed for second- and third-year undergraduates: not a first computer science course, but not an advanced course either. So it certainly will not cover everything in the beautiful world of programming languages, but it is a solid introduction. It is designed to be eye-opening and fascinating both for learners seeking a "third or fourth programming course" and for learners with more experience who are looking for a clear and precise foundation in programming languages. The assignments in the course are designed to be challenging, but with everything you need in the course content. An introductory video and another reading discuss assumed background in some more detail in Week 1 of the course.
Taught by: Dan Grossman, Professor
Computer Science & Engineering
| Level | Intermediate |
| Commitment | 8-16 hours/week |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
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函数式编程语言非常好的入门课程，project难度适中，老师的讲解清晰。推荐先把课程Notes看一遍，尝试敲一遍Notes中的代码，然后看课程视频，会收获颇丰。
Very clearly explains the functional programming basics.
Even though I have been programming for a couple of years, this is the course that happens to be the most helpful for me when it comes to thinking about programming languages. The choice of ML as the primary language has helped me a lot at getting up to speed with Haskell. I look forward to taking Part B. Excellent content... and definitely recommended!
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Dan Grossman did a great job with this course. Actually, I wish he would create an online course that goes into greater detail about the SML language. I would also like to see him create an online course in Haskell, and perhaps even Prolog. I really learned a lot and worked hard for my certificate, which I'm very proud of. Thank you Dan. I wish more professors followed your excellent teaching example.