Paul HILFINGER. The third week moves to recursion and covers the topic of processes and orders of growth, introducing the use of iterative algorithms for efficiency. is attached. summarize that redesign as "MIT decided to switch to Python," but that's not a were impractical ivory-tower notions as students. to tell me about how they're using in their work ideas that they thought Scheme is a very versatile language, making it possible for us to examine Abstraction as means to control program complexity. with a substantial programming project using object-oriented techniques, programming ideas, has helped eliminate that ivory-tower reputation. We introduce list processing procedures at the beginning (the text defers lists to chapter 2) to allow for symbolic examples. this is my experience also, learning another programming language isn't Statistically, SICP-based courses have been a small minority. And yet the big ideas behind these changes remain the same, and they For one thing, it has a very simple, variable assignment, another notation for conditional execution, two or faculty suggests that our first course should use language X instead; each that followed SICP, but it hasn't happened yet. at handling functions as data, but it's a stripped-down version compared redesign of their lower division EECS curriculum. to the ones more commonly used for professional programming, with a Department Notes: We follow the textbook Structure and Interpretation of Computer Programs by Abelson and Sussman (second edition, MIT Press, 1996) fairly closely, but with somewhat more emphasis on symbolic computation and less on numerical examples from the calculus and number theory. to teach their introductory course in the best possible language for teaching, paying no attention to complaints that all the jobs were in central idea of abstraction -- finding general patterns from specific It uses big words. Next, we discuss the use of Scheme pairs incrementally over that time; we've added sections on parallelism, concurrency textbooks whose authors consciously tried to live up to SICP's standard. using language X, that'll be fine" and so far the faculty have always voted to harder to teach; for one thing, each course requires a partnership of languages, ordinarily considered more appropriate for juniors or seniors. Every five years or so, someone on the Most importantly, it functional programming approach. examples are presented: Lisp interpreters in the first two weeks and They asked me (This is the same idea, Other languages have one notation for Assignments provide practice in design and analysis via short exercises, and culminate in a rather longer programming problem that tries to tie everything together. some other language. Everything about their courses had to be reorganized; the choice of Prerequisites: MATH 1A (may be taken concurrently); programming experience equivalent to that gained from a score of 3 or above on the Advanced Placement Computer Science A exam. like magic to our students. This section of the course follows the fourth chapter of the text. Another four-week period is devoted to the creation of new programming a logic programming language in the next week. in a different form, that makes freshman calculus so notoriously hard even are well captured by SICP. on notation and that's all we need; for the rest of the semester we're implications of computing. A course outline follows. dramatically raised the bar for the intellectual content of introductory textbooks. uniform notation for everything. Finally, we spend a week on more advanced data abstraction techniques: MapReduce software for data parallelism at Google, based on functional the definition of functions with LAMBDA, and the use of functions that return functions as values. to write efficient programs; this material comes from the third Summer: 6.0 hours of lecture, 3.0 hours of discussion, and 3.0 hours of laboratory per week, Final exam status: Written final exam conducted during the scheduled final exam period, Class Schedule (Fall 2020): (let's build and program a robot; let's build and program a cell phone). expected to accomplish. problems and building software tools that embody each pattern. But in surveys of all our control, user interface design, and the client/server paradigm. Courses that perceptive description. phones. maintained in Scheme. SICP was revolutionary in many different ways. Several assignments provide the students with practice in these areas, It fit into the in which you'll spend most of your working life hasn't been invented yet, Unit: Lesson: Reading (Do these before lab) Project (Do this as soon as you can) 2: 4: Data Abstraction and Sequences: Turtle Graphics (All exercises in SICP 2.2.4) Another revolution was the choice of Scheme as the programming language. boxes and interesting pictures that typify the modern textbook aimed at initially, but immensely powerful once learned. still essentially the same course. last major programming project, an interpreter for another programming What MIT decided was to move from a curriculum In my experience, relatively few students appreciate how much they're Their new approach is language. But it repays a the applications-first approach will spark a revolution as profound as the one an attempt to model time-varying state information within the since widened to include non-technical ideas about the context and social computer science. In 2011, to celebrate the 150th anniversary of MIT, the Boston Globe Computing has changed enormously over that time, from stay with the SICP course. A deficient grade in Computer Science 61AS may be removed by taking Computer Science 61A. tagged data, data-directed programming, and message-passing. MoWeFr 2:00PM - 2:59PM, Internet/Online – Finally, SICP was firmly optimistic about what a college freshman can be learning in my course while they're in it. The discussion has been sharper recently because MIT underwent a major first CS course three different programming paradigms (functional, The course has changed This material comprises most of the first chapter of the text, and covers roughly three weeks of the course. Electrical Engineering faculty and Computer Science faculty. languages, as a still more powerful abstraction technique. We'll find out pretty soon whether the course can to implement lists, trees, and other data structures. Berkeley's new first course for majors uses Python, such as an adventure game. with lecture notes that try to keep the ideas (and some of the text) of SICP. survive my own retirement. students with low attention spans. assignment, and the environment The course exposes students to programming paradigms, including functional, object-oriented, and declarative approaches. It focused attention on the Why Structure and Interpretation of Computer Programs matters Brian Harvey University of California, Berkeley. In the next five weeks, we cover the use of state and local assignment and takes around three weeks to cover. The first two weeks introduce the idea of object-oriented programming, exercise teaches an important new idea. The fourth week is about concurrency; the fifth week cover streams, Scheme is a dialect of Lisp, so it's great them concentrate on object oriented programming. a big deal; it's a chore for a weekend. The Structure and Interpretation of Computer Programs (Self-Paced) Catalog Description: Introductory programming and computer science. three more for looping, and yet another for function calls. CS students, it turns out to be among the most popular courses in MoWeFr 2:00PM - 2:59PM, Internet/Online – Once you learned the big ideas, they thought, and SICP students write interpreters for programming retrospect, and I regularly get visits and emails from long-gone students "hot" language of the moment: from Pascal to C to C++ to Java to Python. People outside MIT tend to In the third week we discuss mutable data. They asked me to explain the importance of SICP, and this is what I sent them: . Perhaps in time notation. Short assignments during this section of the course are interspersed I tell my students, "the language time, I say "when someone writes the best computer science book in the world SICP has been going strong for over 25 years and shows no sign I've been teaching a SICP-based course since 1987. giant mainframe computers to personal computers to the Internet on cell In my SICP-based course at Berkeley, we spend the first hour model of evaluation that is needed to understand how local state is The idea that computer It inspired a number of later SICP is about standing back from the details to learn big-picture ways entirely filled with learning the details of some programming language. those three programming paradigms and, in particular, letting us see how heavy use of the idea of functions as data, an idea that's hard to learn have become sensitive to the idea of programming paradigms, although most of Usually, a book lasts only as long as the language fad to which it to think about the programming process. (Footnote: Nope. language for an introduction to CS. so we can't teach it to you. The text itself isn't easy reading; it has none of the sidebars and colored But it's Homework 9 due Thursday … close reading; every sentence matters. This material appears in the second chapter of the text, really discuss even one paradigm. Spring: 3.0 hours of lecture, 1.5 hours of discussion, and 1.5 hours of laboratory per week To this day, most introductions to computer science use whatever is the We start with the idea of data abstraction has had an influence beyond that minority. use of Scheme as a language for learners has been extended by others over a It was very brave of Abelson and Sussman The ). made a list of the most important innovations developed there. range from middle school to graduate school. Formats: Fall: 3.0 hours of lecture, 1.5 hours of discussion, and 1.5 hours of laboratory per week with the procedure-as-data concepts covered earlier in the course. Even the more mainstream courses We follow the textbook Structure and Interpretation of Computer Programs by Abelson and Sussman (second edition, MIT Press, 1996) fairly closely, but with somewhat more emphasis on symbolic computation and less on numerical examples from the calculus and number theory. The invention of the processing, then architecture) to a curriculum organized around applications In 2011, to celebrate the 150th anniversary of MIT, the Boston Globe made a list of the most important innovations developed there. and the second course project combines the techniques taught here and techniques for implementing "abstraction barriers." for students who've done well in earlier math classes.) The first week also includes an introduction to the UNIX operating system and the editor students will use to create programs. It made need to learn new languages as they appear.". It includes an introduction to asymptotic analysis of algorithms. minimum of bells and whistles. 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