Syllabus


Course Goals

This course should develop students' sense of what really happens when software runs — and that this question can be answered at several levels of abstraction, including the hardware architecture level, the assembly level, the C programming level, and the Java programming level. The core around which the course is built is C, assembly, and low-level data representation, but this is connected to higher levels (roughly how basic Java could be implemented), lower levels (the general structure of a processor), and the role of the operating system (but not how the operating system is implemented).

For (computer science) students wanting to specialize at higher levels of abstraction, this could, in the extreme, be the only course they take that considers the “C level” and below. However, most will take a subset of , , , etc.

For students interested in hardware, embedded systems, computer engineering, computer architecture, etc., this course is the introductory course after which other courses will delve both deeper (into specific topics) and lower (into hardware implementation, circuit design, etc.). Of particular interest are , , , and .



Course Themes

The course has three principal themes:

  • Representation: How different data types (from simple integers to arrays of data structures) are represented in memory, how instructions are encoded, and how memory addresses (pointers) are generated and used to create complex structures.
  • Translation: How high-level languages are translated into the basic instructions embodied in process hardware with a particular focus on C and Java.
  • Control Flow: How computers organize the order of their computations, keep track of where they are in large programs, and provide the illusion of multiple processes executing in parallel.


Course Objectives

At the end of this course, students should:

  • understand the multi-step process by which a high-level program becomes a stream of instructions executed by a processor;
  • know what a pointer is and how to use it in manipulating complex data structures;
  • be facile enough with assembly programming (x86-64) to write simple pieces of code and understand how it maps to high-level languages (and vice-versa);
  • understand the basic organization and parameters of memory hierarchy and its importance for system performance;
  • be able to explain the role of an operating system;
  • know how Java fundamentally differs from C;
  • be more effective programmers (more efficient at finding bugs, improved intuition about system performance).


Course Syllabus

Approximate list of topics:

  • Memory and data representation
  • Number representation for integers and floats
  • Machine code and the C programming language
  • x86-64 assembly language
  • Procedures and stacks
  • Arrays and other data structures
  • Memory and caches
  • Operating system process model
  • Virtual memory
  • Memory allocation
  • Implementation of high-level languages (e.g. Java)

Note that even more important than the topics at various levels of abstraction is the connection between them: students should get an informal sense of how Java could be translated to C, C to assembly, and assembly to binary.



Course Components

The course consists of the following elements:

  • Pre-Lecture Reading: The main technical material will be introduced via interactive readings and check-in questions on the platform. These should be completed before engaging with lecture material. Pre-lecture readings are due at 11:00am PST of the corresponding lecture day.
  • Lectures: There will be 28 lectures. Synchronous attendance is required (except for extenuating circumstances such as living in a time zone outside the U.S.). Lecture recordings and activities will be made available afterward for review. In-class lessons/polls will hopefully be completed during class time. If we do not complete all questions, they will be due by the end of the day (11:59pm). For those who must attend lecture asynchronously, in-class lessons/polls are due by end of day local time on the first day the lecture recording is available to you.
  • Online Assignments (Homework): There are approximately 25 online homework assignments, one roughly every lecture. These are intended to solidify the lecture concepts and are generally due two lectures after being assigned. Homework assignments are due at 11:59pm PST on the date indicated in the assignment lesson on Ed.
  • Programming Assignments (Labs): There are 6 total labs, due roughly every other week. All the undergraduate lab machines (and the CSE VM) will have access to the necessary tools. We will use these assignments to reinforce key concepts and will strive to have them be as practical as possible. Programming Lab due dates are found on the individual lab assignment webpages, linked from the course schedule.
  • Sections: There will be one section meeting per week, and each section will have a worksheet to provide additional practice with the section topics. Section worksheets are due by 11:59pm PST on the Monday following Section (i.e., 4 days after section). Worksheets will be submitted to Gradescope. You must complete and submit at least 5 section worksheets throughout the quarter.
  • Study Guides: There will be three Study Guide assignments — see the for more information.
  • Reading: There will be corresponding optional readings from that correspond to lecture topics.

We will try to ensure that the workload is typical for a 4-credit course, namely, 9-12 hours per week outside of the lectures. If we do not succeed, please let us know in whichever way you feel the most comfortable (in-person, email, ) and explain which parts of the course are causing you to spend too much time non-productively.

We have structured the course so that spending a few hours per day will maximize your efficiency. You will work this way in the real world – you cannot cram a three-month design assignment into the last night – so you may as well work this way now. Plus, you will understand the material better. If you leave an assignment for the day before it is due you will not have time to ask questions when (not if) the software misbehaves.


Policies


Grading Policies

Your final grade will be a reflection of your level of mastery of the topics and material covered throughout the quarter. The following assessments will be used to compute your grade. Each assessment is evaluated for some combination of completeness and/or correctness.

  • Lecture Readings (~5%): single attempt, completeness
  • Homework (~15-20%): unlimited attempts, completeness and correctness
  • Labs and Reflections (~35-40%): last submission graded, completeness and correctness
  • Section Worksheets (~5%): single submission, completeness and effort
  • Study Guides (~30%): single submission, completeness and correctness
  • Effort, Participation, and Altruism (~5%)

EPA: Effort, Participation, and Altruism

You can earn "points" for each of the following:

  • Effort: Attending lecture, section, and office hours; keeping up with Ed Discussion.
  • Participation: Participating during lecture, including completing lecture questions, and interacting with TAs and other students; asking questions on Ed Discussion.
  • Altruism: Helping others in lecture, section, during office hours, and on Ed Discussion.

EPA scores are kept internal to the staff (i.e., not disclosed to students).


Lecture Polling

You will receive credit for voting on multiple choice questions in lecture. This quarter we will be using , which you should have open during lecture (whether live or recorded).

These questions are designed to give you a chance to check your understanding of the material by applying it on-the-spot, as well as an opportunity to interact with your classmates. These are intended to be low-pressure and lenient so the grading primarily reflects participation (i.e., your answer does not need to be correct). Earning ~60% of the possible points should get you full credit for lecture questions.


Extra Credit (Labs)

We will keep track of any extra credit items you complete on labs. You won't see these affecting your grades for individual labs, but they will be accumulated over the course and will be used to bump up borderline grades at the end of the quarter.

The bottom line is that these will likely have NO effect on your overall grade (and only a small amount if you are on a borderline). You want to be sure you have completed the non-extra credit portions of the lab in perfect form before attempting any extra credit. They are meant to be fun extensions to the assignments, so if you complete some extra credit it *may* positively impact your overall grade.

Extra Credit (Study Guides)

We will keep track of any extra credit earned on study guides. Extra credit may be earned by demonstrating exceptional learning and mastery of the material covered by the study guide assignment. As with extra credit earned on labs, this will likely have little to no effect on your overall grade, and is primarily used to adjust up a borderline grade.



Assignment Policies

All assignment submission deadlines have an implied "and zero seconds" attached to them. This means that if your clock reads the deadline time (e.g., "11:59"), then your assignment is late! In addition, online submission can be fickle, so we highly recommend making partial submissions as you go and not waiting until the last (literal) minute to submit.

  • Online assignments (homework) are autograded and late submissions are NOT allowed. You are allowed an unlimited number of attempts for each quiz and you will receive credit for every question that you answer correctly. Homework assignments are due at 11:59pm PST on the date indicated in the assignment lesson on Ed.
  • Pre-Lecture readings are single-submission and are to be completed before lectures. Pre-lecture readings are due at 11:00am PST of the corresponding lecture day.
  • In-class activities are hosted as Ed Lessons and will be completed during class. In-class lessons/polls will hopefully be completed during class time. If we do not complete all questions, they will be due by the end of the day (11:59pm). For those who must attend lecture asynchronously, in-class lessons/polls are due by end of day local time on the first day the lecture recording is available to you.
  • Programming assignments (labs) are submitted by uploading files to Gradescope assignments. Late lab submissions are subject to the late day policy described below. Note that you will sometimes need to submit the same file(s) to the separate extra credit assignments if you would like to have those graded. Labs are graded by a combination of grading scripts and TAs. Programming Lab due dates are found on the individual lab assignment webpages, linked from the course schedule.
  • Study Guides are "take-home" and must be completed within the allotted window of time. See the schedule or the for dates. Study Guides are graded by the staff.
  • Sections worksheets are graded for completeness. Section worksheets are due by 11:59pm PST on the Monday following Section (i.e., 4 days after section). Worksheets will be submitted to Gradescope. You must complete and submit at least 5 section worksheets throughout the quarter.

Late Day Policy (Labs, Study Guides)

You are allocated a total of 5 late day tokens for the entirety of the quarter to utilize on labs or study guides should the need arise.

  • A late day is defined as the 24 hour period after an assignment's due date: num_late_days = ceil(hours_late / 24).
    • An exception is made for weekends, which count as a single late day. That is, if an assignment is due at 11:59 pm on Friday, submitting before Sunday at 11:59 pm counts as using only ONE late day (submitting by 11:59 pm on Monday would count as using TWO late days).
  • All lab submissions will close two late days past the original due date.
  • There is no bonus for having leftover late days at the end of the quarter.

For each late day you use that exceeds the total late day tokens given to you, you will be penalized 20% of your score on one of the assignments that you submitted late. The penalties will be applied in a manner that maximizes your overall grade (i.e. minimizes your total penalties). No individual assignment will be penalized more than twice.


Solutions and Regrades

  • Homework: Solutions will not be provided. Since you are allowed multiple attempts, make sure to go to office hours or talk to classmates if you feel stuck.
  • Labs: Solutions will not be provided. Most labs will include testing tools to allow you to evaluate whether or not your solution is likely working. Your lab grades will provide comments for any portion deemed incorrect.
  • Section Worksheets: Solutions will be posted on the course website.
  • Study Guides: Solutions may be posted on the after all students have submitted the assessment.
  • Final Assessment: Solutions may be posted on the after all students have taken the exam.

Learning from our mistakes is often one of the most memorable ways of learning and the staff is not immune from making them, too! If you have a question about a graded assignment, please don't hesitate to ask a staff member about it during their office hours or via private post on Ed Discussion. If, after discussing your question, you feel that your work was misunderstood or otherwise should be looked at again to see if an appropriate grade was given, we ask that you submit an electronic regrade request via the interface, which will open and close automatically. Note that when an assignment is regraded, the entire work will be regraded. This means that while it is possible to regain some points, it is also possible to lose points.

  • Homework regrades: These are autograded, but if you believe there might be an error in our answers, please email the instructor or make a private post on Ed Discussion.
  • Lab regrades: Make sure to include a short summary describing why your work should be looked at again.
  • Study Guide regrades: Details TBA. There will be a mechanism to resubmit/regrade tasks to demonstrate learning.


Academic Conduct

In general, we encourage collaboration, but there is a very fine line between collaboration and cheating. We can learn a lot from working with each other and it can make the course more fun, but we also want to ensure that every student can get the maximum benefit from the material this course has to offer. Keep in mind that the overall goal is for *YOU* to learn the material so you will be prepared for the exams and for job interviews etc. in the future. Cheating turns the assignments into an exercise that is a silly waste of both your time and ours; save us both by not doing it.

Permitted collaboration:

  • Homework: Collaboration and discussion is encouraged (find a homework group!), but you are responsible for understanding the solutions on your own, as the problems are meant to be preparation for the exams.
  • Labs: Collaboration should be restricted to high-level discussion (i.e., ideas only). A good rule of thumb is that you should never show your own code while helping another student (viewing their code is highly discouraged, as it often leads to problematic situations).
  • Study Guides: Study Guides include both individual and group-work allowed tasks. See the for specific details. Violation of the academic conduct policy will be referred directly to the Allen School or UW.

Cheating consists of sharing code or solutions to assignments by either copying, retyping, looking at, or supplying a copy of a file. Examples include:

  • Coaching a friend to arrive at a solution by simply following your instructions (i.e., no thinking involved). An example is helping a friend write a program line-by-line.
  • Copying code from a similar course at another university or using solutions/code on the web, including GitHub and Chegg.
  • Communicating your solution with another student via electronic or non-electronic means.

Cheating is a very serious offense. If you are caught cheating, you can expect a failing grade and initiation of a cheating case in the University system. Cheating is an insult to the instructor and course staff, to the school and program, and most importantly, to you and your fellow students. If you feel that you are having a problem with the material, or don't have time to finish an assignment, or have any number of other reasons to cheat, then talk with the instructor. Just don't cheat.

If you are in doubt about what might constitute cheating, send the instructor an email describing the situation and we will be happy to clarify it for you. For more information, you may consult the school's .



Disability Resources

The is a unit within the Division of Student Life and is dedicated to ensuring access and inclusion for all students with disabilities on the Seattle campus. They offer a wide range of services for students with disabilities that are individually designed and remove the need to reveal sensitive medical information to the course staff. If you have a medical need for extensions of exam times or assignment deadlines, these will only be granted through official documentation from DRS. Browse to to start the process as soon as possible to avoid delays.

You can refer to the university policies regarding for more information.



Religious Accommodations

Washington state law requires that UW develop a policy for accommodation of student absences or significant hardship due to reasons of faith or conscience, or for organized religious activities. The UW's policy, including more information about how to request an accommodation, is available at . Accommodations must be requested within the first two weeks of this course using the .



Extenuating Circumstances and Inclusiveness

We recognize that our students come from varied backgrounds and can have widely-varying circumstances. If you have any unforeseen or extenuating circumstance that arise during the course, please do not hesitate to contact the instructor in office hours, via email, or private Ed Discussion post to discuss your situation. The sooner we are made aware, the more easily these situations can be resolved. Extenuating circumstances include work-school balance, familial responsibilities, military duties, unexpected travel, or anything else beyond your control that may negatively impact your performance in the class.

Additionally, if at any point you are made to feel uncomfortable, disrespected, or excluded by a staff member or fellow student, please report the incident so that we may address the issue and maintain a supportive and inclusive learning environment. Should you feel uncomfortable bringing up an issue with a staff member directly, you may consider sending or contacting the .