Programming languages course syllabus

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Programming languages course syllabus

The course consists of three main parts, covering respectively functional, concurrent, and logic programming. Evaluation for each part includes a programming assignment and a partial exam.

For functional programming, we will use Haskell and Oz. For logic programming, we will use Prolog and Oz. You must understand both languages to be prepared for exams. However, you can choose any of the two supported programming languages per paradigm for programming assignments, or even your own but do not expect help from the instructor or TAs if you choose your own. Programming assignments can be done either individually or in pairs.

programming languages course syllabus

Do not show your code to any other group and do not look at any other group's code. Do not put your code in a public directory or otherwise make it public. There will be three grace days for late submissions throughout the semester, to be used in any combination of PAs, e. Late assignments beyond the three day grace period will receive a grade of 0.

Students may use for reference during exams: physical textbooks, printed course slides, and one personal one-sided crib sheet. No electronics will be allowed. All exam answers must be the student's own. Exam grades may be curved. Final letter grades will then be assigned as follows:. Lambda calculus: higher order programming, eta-conversion, recursion combinator, numbers, Church numerals.

programming languages course syllabus

PA1 description PA1 description pdf ppt pdf pascal. Higher order programming: closures, procedural abstraction, genericity, instantiation, embedding. CTM Chapters 2. Lazy Functional State Threads You could have invented monads. Terms, resolution, unification, search, backtracking Prolog ; Relational computation model Oz.

Prolog imperative control flow: cut! Closed-world assumption, generate-and-test.

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PA3 description PA3 description pdf pdf ppt loop. Constraint satisfaction problems: propagate-and-search; natural language parsing: definite clause grammars.Announcements Apr: Practice final exam released.

Old news Course information This course is an introduction to the theory, design, and implementation of programming languages. Topics covered in this course include: formal semantics of programming languages operational, axiomatic, denotational, and translationaltype systems, higher-order functions and lambda calculus, laziness, continuations, dynamic types, monads, objects, modules, concurrency, and communication.

See the lecture schedule for more detailed information on topics covered. All questions and issues related to assignments, course content, etc. Questions related to grades, special consideration, etc. In general, sending email to individual course staff will delay a response. Note that course staff may take up to 48 hours to respond.

Computer Science Also recommended is Computer Science Students must have good programming skillsbe very comfortable with recursion, proofs, basic mathematical ideas and notations, including sets, relations, functions, and induction. See the schedule for some suggested background reading on some of these concepts.

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Feel free to contact the instructor if you have questions about the requirements or other aspects of the course. Two points to emphasize: 1 this is not an introduction to programming; students should already know how to program, ideally in at least couple of languages. There will be an in-class midterm and a final exam. There will be 6 homework assignments. Some of the assignments will contain a programming component in OCaml and Haskell and some other languages.

Prior knowledge of these languages is not required. Your grade will be determined by a weighted average of your scores on homework assignments, the midterm exam, the final exam, and class participation.

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Information specific to Extension School students can be found on the Extension Students page. Textbooks There is no required textbook for the course. In most cases, the class materials should suffice. The instructor will provide written lecture notes where helpful.

See the Resources page for additional material that you can examine. The Thursday sections will be recorded. Both sections cover the same material. Section attendance is not required. Sections will, for the most part, focus on worked examples and exercises to consolidate material covered recently in class.

You should feel free to come to section with questions. We will release practice problems a few days before section. More information can be found here. CS Programming Languages Prof.

Prerequisites Computer Science Homeworks, exams, and grading There will be an in-class midterm and a final exam.

Midterm: Thursday, 3 March. In-class although some students will take in Pierce F, due to space constraints. Details forthcoming.The topic of CS changes each semester. This semester Spring we will collectively and collaboratively learn about verified and secure compilation.

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The class is intended to teach both about the theory and the practice of constructing verified compilers. We will be figuring this out as we go. See the lecture schedule for the current plan. For those taking the course for credit, evaluation will be based on class participation, and a final project.

Auditors are welcome, but must participate in discussion and devote time outside of the class to working on the project s.

There will be some coding assignments; while these will not be graded, they will be discussed, so it is expected that class participants will complete them. The course is intended for graduate students at all levels as well as advanced undergraduates.

programming languages course syllabus

It is expected that students have taken a course in the foundations of programming languages, such as CS and have taken a course in compilers, such as CS Some familarity with Coq is required. If you are not currently comfortable using Coq, some of your time in the first few weeks will need to be spent getting up to speed on Coq, by going through selected parts of either Volumes 1 and 2 of Software Foundations or Formal Reasoning about Programs by Adam Chlipala.

Piazza will be the primary medium for out-of-class communication. Sign up for Piazza here. See this page for more info about our remote classroom meetings. This embedded spreadsheet has the schedule for the course, as well as a list of papers that we might read see the "Reading List" tab.

I would like to create a learning environment that supports a diversity of thoughts, perspectives and experiences, and honors your identities including race, gender, class, sexuality, religion, ability, etc. To help accomplish this:. If you ever are struggling and just need someone to talk to, feel free to stop by office hours, or to reach out to me and we can arrange a private meeting. Your success in this class is important to me.

programming languages course syllabus

We will all need accommodations because we all learn differently. If there are aspects of this course that prevent you from learning or exclude you, please let me know as soon as possible. Together we'll develop strategies to meet both your needs and the requirements of the course. I encourage you to visit the Accessible Education Office to determine how you could improve your learning as well.

If you need official accommodations, you have a right to have these met. There are also a range of resources on campus.

The Bureau of Study Counsel provides many resources, including academic counseling and peer tutors. If you experience significant stress or worry, changes in mood, or problems eating or sleeping this semester, whether because of CS or other courses or factors, please do not hesitate to reach out immediately, at any hour, to any of the course staff to discuss.

Everyone can benefit from support during challenging times.This course is an introduction to the theory, design, and implementation of programming languages. Topics covered in this course include: formal semantics of programming languages operational, axiomatic, denotational, and translationaltype systems, higher-order functions and lambda calculus, laziness, continuations, dynamic types, monads, objects, modules, concurrency, and communication.

Students must have good programming skillsbe very comfortable with recursion, proofs, basic mathematical ideas and notations, including sets, relations, functions, and induction. Two points to emphasize: 1 this is not an introduction to programming; students should already know how to program, ideally in at least couple of languages. Assessment will be by a combination of several assignments between 6 and 9a mid-term exam, and a final exam. Extension School students sit the same exams as College students, i.

Local extension school students must attend a physical exam at Harvard; remote extension school students need to arrange a proctored exam within a 24 hour window.

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This page will be updated with more information closer to the course. The syllabus page shows a table-oriented view of the course schedule, and the basics of course grading.

You can add any other comments, notes, or thoughts you have about the course structure, course policies or anything else.

Course Syllabus. Jump to Today. To add some comments, click the "Edit" link at the top. Show Course Summary. Cancel Update Syllabus. Assessment Assessment will be by a combination of several assignments between 6 and 9a mid-term exam, and a final exam. More information Extension School students are welcome to physically attend lectures, office hours, and section.This course is designed for software programmers, statisticians and data miners who are looking forward to developing statistical software using R programming.

If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language from where you can take yourself to higher levels of expertise. Before proceeding with this course, you should have a basic understanding of Computer Programming terminologies.

A basic understanding of any of the programming languages will help you in understanding the R programming concepts and move fast on the learning track. Your email address will not be published. Thank you once again for doing your part to keep Edarabia the most trusted education source.

Home Courses R Programming Language. Price: USD Who this course is for: All graduates and pursuing students Basic knowledge Before proceeding with this course, you should have a basic understanding of Computer Programming terminologies. A basic understanding of any of the programming languages will help you in understanding the R programming concepts and move fast on the learning track R Programming Language R Programming Language for Statistical Computing and Graphical Representation.

Community Rating. Add a Comment Cancel reply Your email address will not be published. Please do not post: Aggressive or discriminatory language Profanities of any kind Trade secrets or confidential information Thank you once again for doing your part to keep Edarabia the most trusted education source.

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Visual Arts. Art History. Fashion Design. Business Intelligence. Human Resources. Business Development. Business Analysis. Six Sigma. Supply Chain.

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Corporate Finance. Financial Accounting.In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.

The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code.

Topics in statistical data analysis will provide working examples. The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.

This week covers the basics to get you started up with R. The Background Materials lesson contains information about course mechanics and some videos on installing R. The Week 1 videos cover the history of R and S, go over the basic data types in R, and describe the functions for reading and writing data. I recommend that you watch the videos in the listed order, but watching the videos out of order isn't going to ruin the story. Welcome to Week 2 of R Programming. This week, we take the gloves off, and the lectures cover key topics like control structures and functions.

We also introduce the first programming assignment for the course, which is due at the end of the week. We have now entered the third week of R Programming, which also marks the halfway point. The lectures this week cover loop functions and the debugging tools in R. These aspects of R make R useful for both interactive work and writing longer code, and so they are commonly used in practice. This week covers how to simulate data in R, which serves as the basis for doing simulation studies.

We also cover the profiler in R which lets you collect detailed information on how your R functions are running and to identify bottlenecks that can be addressed. The profiler is a key tool in helping you optimize your programs.

Finally, we cover the str function, which I personally believe is the most useful function in R.

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Very challenging, but good course. I've been programming in R for over a year, but there were still some things for me to pick up in this class. Assignments were a challenge, but satisfying to tackle. Highly recommended! Excellent course!

This was very engaging, however, the level of expectation and effort needed is much greater than course 1 - ToolBox. Excelente opportunity to learn a lot. The course is very well prepared introduce you to R programing. Dont feel bad if you dont get it at te first moment. It will be a process of leaning worth trying. Great course for people who work with data a lot. A great introduction to slightly more complicated R programming.

Basic concepts covered well and it builds nicely to the point where you feel like you can apply your knowledge to real world examples.


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