Prerequisites

All students should have completed the introductory computer science sequence, including some introductory course (B110, B113, H105, H107, or BIO B115), some data structures course (B206, H106, or H107), discrete mathematics (B/H231), and programming languages (B/H245).

Workload

It is my expectation that this course is difficult. The reward is that you will gain a lot of experience coding and about compilers. I expect that you will have to spend 10+ hours working outside of class/lab every week. For a two-week assignment, this means that the assignment might take 20 hours or more.

Grading

Projects 70%
Midterm 12%
Final 18%
Total 100%

Individual assingments/exams will be graded on a percentage basis. At the end of the semester, these grades will be translated into the 4-point scale roughly according to the following table (without rounding):

Percentage Grade
0-50% 0.0
50-57% 1.0
57-63% 1.3
63-69% 1.7
69-74% 2.0
74-78% 2.3
78-82% 2.7
82-86% 3.0
86-90% 3.3
90-94% 3.7
94-100% 4.0

Note that the correspondence between percentage grade and transcript grade here is rough; we will discuss updates to this chart throughout the semester.

Assignment grading

Assignments will be (mostly) autograded upon submission to Gradescope. This means that, as soon as you submit your work, you will get the bulk of your assignment grade. The rest of the grade will be assigned manually, and will assess the tests you have written as well as your coding style. There will not be formal style criteria in this course; instead, you are expected to write code that others can read and understand.

Code that does not compile will earn no credit. Code that has not been formatted according to the directions in the assignment (e.g., that uses different function names or filenames than required) will earn no credit. Case matters.

Exams

This course has one midterm (March 6), and one final exam, to be taken on the last day of class.

Exams will be open-book and open-note (not open-compiler). Students using an electronic version of the book or taking electronic notes may consult those resources: you can do so only with a laptop (no tablets/phones), with its network connection disabled, and with no use of the keyboard.

If you miss an exam without emailing me first, you will get a 0 on that exam. Changes to the exam schedule will be considered only in extreme circumstances.

Late policy

Assignments will generally be due Wednesday nights at midnight. You will submit assignments via Gradescope, as practiced during the first lab.

Late assignments will lose 20% of their points for every day late (or portion thereof). Each student gets 5 free late days for the semester. This means that the first five days (or portion thereof) that an assignment is late will not lead to a penalty. Late days cannot be split; in other words, the count of the late das available is always an integer. These late days are intended to account for unexpected bugs, minor illnesses, planned travel, etc. I will grant further extensions only in rare circumstances. You do not have to request to use a late day; they are automatically granted.

Group work policy

Working with a partner

The first assignment will be individual. You will not be allowed to work with a partner on that assignment.

Further assignments will be completed in pairs. If you wish not to work in a pair, you must discuss that decision with me first.

When working with a partner:

Two partners working together receive one shared grade.

Collaboration policy

(In this section, when you are working with a partner, you and your partner are considered “you”. It is expected that partners share code!)

You are encouraged to brainstorm with others for assignments, but your submission must be your own:

All the code you submit must be written by you alone.

This means that, while it’s a great idea to discuss general algorithms or approaches with your classmates, you should make sure that the code you submit is yours and yours alone. This means that it may be OK to help a friend debug their code or to look at someone else’s approach for inspiration, but your own writeup must be made independently, without the other code available for consultation.

If your work has been influenced by the work of another student, you must cite that student in your submission. (This citation can take the form of a comment in that area of your code; there is no prescribed citation format.) Note that a citation is necessary even if it’s just an influence. These citations have no negative impact on your grade.

Submitting code from any source other than your own brain without citation is a violation of Bryn Mawr’s Honor Code. In particular, never submit code you have found online.

If you have a question, post on Piazza.

Piazza

There is a course question-and-answer forum at https://piazza.com/brynmawr/spring2019/cs350/home. This forum is hosted by an educational service, Piazza, and it will be the primary means of electronic communication in this course. It is free to use. (Piazza’s business model is about connecting students with job recruiters, a feature called Piazza Careers. Recruiters pay for this connection. Your questions and other class participation remain strictly private. During sign-up, you may choose whether you wish to participate in Piazza Careers.) Piazza offers the ability to ask questions anonymously (either anonymous to everyone or only to fellow students, but not instructors) and for one student to see others’ questions. You may also use the site to send private messages/questions to the instructors of the course.

If you have a question about the material, the course, extensions, or anything else, please use Piazza.

Piazza also has the ability to send out announcements. Any coursewide information will go through that site, which will send everyone an email with the info.

I do tend to respond to questions during business hours only; something posted Friday evening might not get a response until Monday. However, an advantage to posting on Piazza is that a fellow student might answer a question before I can.

GitLab

The course materials are hosted on GitLab. Feel free to submit corrections/ask clarifications there, via GitLab’s merge request or issues mechanisms.

Accommodations for disability

Bryn Mawr College is committed to providing equal access to students with a documented disability. Students needing academic accommodations for a disability must first register with Access Services. Students can call 610-526-7516 to make an appointment with the Coordinator of Access Services, Deb Alder, or email her at dalder@brynmawr.edu to begin this confidential process. Once registered, students should schedule an appointment with me as early in the semester as possible to share the verification form and make appropriate arrangements. Please note that accommodations are not retroactive and require advance notice to implement. More information can be obtained at the Access Services website.

Meetings

My office hours for Fall 2019 are Wednesdays 2:40-4:00 and Fridays 1:00-2:00. This means that, at these hours, I am guaranteed to be in my office and expecting visitors – and I really do want visitors. During class, it’s hard to get to know all of you, and I’d love to know more about what brought you into my class, what else you’re interested in (in computer science and more broadly), and how your college experience is going generally. Come with a question, come to say hi, or come to play one of my puzzles. You can even use your curiosity about my puzzle collection as an excuse to get in the door.

If you have a conflict with my office hours, please email so we can find another time to meet.

Beyond my office hours, I aim to have an open-door policy. If you see my office door (Park 204) open, please interrupt me: that’s why the door is open!

For a broader discussion than just homework questions, I’d be happy to join you for lunch in the dining hall. Just email or ask!

Acknowledgments

This course is adapted (with permission) from Prof. Steve Zdancewic’s compilers course at the University of Pennsylvania. The chief difference in this course against Steve’s is that Steve’s is in ML, while this course is in Haskell.