CSE 105 Fall 2022: Syllabus and Course Policies

An online version of this syllabus is available on the course web page.


Web page: https://cseweb.ucsd.edu/classes/fa22/cse105-a
Canvas: https://canvas.ucsd.edu/courses/40756
Textbook: M. Sipser, Introduction to the Theory of Computation (any edition)

Course Description: In this course, we will explore what it means for a problem to be “computable”, i.e. solvable by an algorithm or computer program. We begin with a very simple model of computation, and work our way to the most powerful, the Turing machine, named after Alan Turing, who formalized the notion of “algorithm” even before there were any physical computers. You’ll also learn about the relationship of these models to some essential tools in a computer scientist’s toolkit, such as regular expressions and context-free grammars. Finally, you’ll develop your technical communication skills in writing formal arguments and proofs.

Tools: See course webpage for additional information on Piazza (discussion board), Gradescope (homework submission, grading), iClickers (active learning/attendance), FLAP/flap.js (machine visualization) and LaTeX/Overleaf (typesetting.) Enrollment/access to Piazza and Gradescope should be automatic through Canvas. Make sure you have your clicker registered on Canvas by Sunday, Oct 2. Intallation instructions for JFLAP/flap.js and LaTeX/Overleaf are on the course webpage.


Course Staff

Instructor: Daniele Micciancio
TAs: Parth Doshi, Satvik Gupta, Saketh Khandavalli, Venkat Krishnamohan, Shreya Saha, Madhav Wagle, Satish Yerva

See the canvas calendar for the staff’s office hour schedule. We have multiple office hours almost every day. So, come see us whenever you need help!

For general/technical questions that may be of interest to other students (e.g., clarifications about homework or lectures), you are encouraged to use Piazza. If you are not sure if your question should be publicly posted, or want only the instructors/TAs to read it, you can still use piazza and mark it as private. For in-person questions/help about homework assignments, you should attend discussion and/or office hours of any of the course staff.

Schedule

Lectures: Monday, Wednesday 5:00pm-6:20pm in PETER 108

Discussions: Friday 12:00p-12:50p in WLH 2001

Exams:

Course Calendar: For weekly topics, reading assignments and homework due dates, see the course calendar posted on the course webpage. You are responsible for all the reading material posted up to the current lecture. (Slides/lecture notes available on Canvas.)

Prerequisites

The formal prerequisites for CSE 105 are CSE 12 and CSE 21, as well as all implied prerequisites of those classes (most importantly CSE 20.) One of Math 15B, Math 100A, or Math 103A may substitute for CSE 21.

We expect you to be comfortable with mathematical concepts such as sets, tuples, relations, and functions. You should in particular be familiar with the notion that a set is (or isn’t) closed under some operation. We expect you to be comfortable with manipulating formal mathematical definitions, reading and writing formal proofs.

We further expect you to be comfortable with basic data structures, such as trees and graphs; with basic algorithms on those data structures, such as depth-first search and graph reachability; with basic tools of algorithm analysis, such as big-O notation; and with general computer and programming concepts, so to be able to easily pick up a new programming language and write short snippets of code.

Objectives

Our objectives in CSE 105 are: (1) to define computation formally; (2) to show that there are limits to what is computable; (3) to reason precisely about computation and its limits. Along the way, we will pick up some useful tools (finite automata, regular expressions, context-free grammars) and lay the foundation for the study (in CSE 200) of complexity theory.

Learning outcomes. A successful student will learn the following in CSE 105:

Assignments and Course Policies

iClickers: We will use iClickers as a learning tool and to measure class attendance/partecipation. Make sure you have your clicker registered with Canvas by Sun October 2. See course webpage for instructions.

Attendance: Podcast recordings of the lectures will be available (shortly after class, typically within a day) at https://podcast.ucsd.edu/watch/fa22/cse105_a00 for review, or for making up for occasionally missing a lecture. Still, you are expected to attend lectures in person (unless you are sick), make sure that your iClicker is registered in Canvas, and use it to actively partecipate. You should not come to lecture if you are sick or not feeling well. In order to allow some flexibility, the iClicker/partecipation score will not directly contribute a fixed portion of your grade. Rather, it will be used to determine your “discretionary score” (see below.)

Exams: There will be 2 midterm exams and a final. Midterm and Final exams dates/times have been set by the university before registration (Midterms are during regular class times), and everybody is expected to attend. There will be no make up midterm or final. Not showing up to either exam will count as 0 grade, unless your absence is due to a demonstrated personal health problem at the time. Exams will be closed book, closed notes.

Homework assignments will typically go out Thursday night, and be due on Friday the following week. (See course webpage for assignment schedule.) So, there will be one day overlap between the two. This is to allow you to look at the assignment before the discussion on Friday. You should try to submit your homework by Thursday, so you can focus on the new assignment. Think of the Friday deadline as a one-day extension, in case you need that extra time for whatever reason. No submissions will be accepted after Friday. Homework assignments are distributed on Canvas and submitted on gradescope. Homework should be done in groups of one to three people. You are free to change group members at any time throughout the quarter. Problems should be solved together, not divided up between partners. A single representative of your group should submit your work through Gradescope. On submission, make sure to add all your group members to the Gradescope assignment. Submissions must be received by 11:59pm on the due date, and there are no exceptions to this rule. We recommend that you submit early drafts to Gradescope so that in case of any technical difficulties, at least some of your work is present. You may update your submission as many times as you’d like up to the deadline. Additional submission instructions may be provided on each individual homework assignment.

Grades for homework and midterm exams will be available through Gradescope. The course grade is based on your homework, midterm exams and a final exam. Denoting your percentage scores on these as H, M, F, we compute your raw score RS and total score TS via the formulas

RS = 0.35 H + 0.30 M + 0.35 F

TS = 0.95 RS + 0.05 DS

where DS is your discretionary score, to be explained. Your grade is determined by your total score TS. Now let us explain. In computing the raw score, homework weigh 35%, midterm exams 30% and the final exam 35%. In determining H, homework assignments are weighted equally, and the lowest homework score is dropped. For M, the two midterms also carry equal weight (15% each), but the weight of your lowest midterm will be moved to the final exam if your final score is higher than that midterm. (So, the final exam is your opportunity to improve a low midterm score.) Your total score is 95% your raw score RS and 5% your discretionary score DS. How is DS computed? Its default value is RS. Thus, if you do nothing to either increase or decrease it (which is likely true for most students), then TS is just RS. However it is possible to increase DS, and also possible to decrease it, relative to its default value RS. Actions that may increase your discretionary score DS above RS include attending lectures (with attendance recorded by iClicker partecipation), answering Piazza posts by other students, creating positive impression through interaction or posts, spotting mistakes or bugs in our posts, etc. Actions that may decrease your discretionary score DS below RS include requesting exceptions to policies stated here or on the slides, asking administrative questions already answered here or on the slides, requesting actions already denied by policies here on the slides and asking for special consideration. The latter includes asking that your grade depend on things beyond your performance. An example is ``Please pass me because I am graduating this quarter.’’ This is not appropriate because it is effectively asking for unfairness, that you be treated differently from other students.

The class is not graded on a curve. There is no fixed correspondence between letter grades and particular scores, nor is the grade distribution dependent in some fixed way on statistics such as the average or standard deviation. But, just to give you an indication of where you are headed, in the past grades followed roughly the following scale: 50-55% (D), 55-70% (C), 70-85% (B), 85-100% (A), with (+) and (-) assigned to the instructor discretion. This includes, but is not limited to improvement over the quarter, class participation, and natural “breaks” in the distribution of scores. As per university rules, a P means a C- or above.

Regrade requests. Regrades need to be requested within three days of announcement of grades. The regrade window will be set in Gradescope. In the regrade request, include a brief but detailed explanation of why you think there was an error in the grading. A regrade request may lead to us reviewing the entire assignment and may lead to the score being adjusted up or down depending on any errors found in the original grading. There will be no regrade window for the final exam. Finals will be available for inspection only after the quarter is over and class grades have been assigned.

Academic honesty: All students are expected to be familiar with and abide by the rules of UCSD Policy on Integrity of Scholarship as described in the UCSD General Catalog. In case of cheating, such policy will be enforced. This means an F grade in the course, and action by the Dean of your college (probation or suspension from UCSD).

Homework and Collaboration Policy You are encouraged to form study groups to discuss the material presented in class and the homework assignments. However, you should write the solutions to the homework entirely on your own or within your team. If you collaborated with other students on the solution of the homework (beside your team mates), you must list the name of everyone you discussed the homework with, and which problems you discussed with whom.

You can use Internet, additional textbooks, and any material you find useful as a study tool. However, the use of any such resource in the solution of homework assignments is prohibited. In particular, you should not search for solutions to homework problems on-line, or post homework related questions on any site other than the course web discussion board. Should you still (inadvertently) come across material on the internet that is closely related to the solution of the homework assignments, make sure you clearly aknowledged your source in your solutions to avoid academic dishonesty charges. Posting of your solutions (as a whole, or in part, even after the homework due date) is also prohibited. No form of collaboration is allowed during midterm and final exams.


Diversity and Inclusion

We are committed to fostering a learning environment for this course that supports a diversity of thoughts, perspectives and experiences, and respects your identities (including race, ethnicity, heritage, gender, sex, class, sexuality, religion, ability, age, educational background, etc.). Our goal is to create a diverse and inclusive learning environment where all students feel comfortable and can thrive.

Our instructional staff will make a concerted effort to be welcoming and inclusive to the wide diversity of students in this course. If there is a way we can make you feel more included please let one of the course staff know, either in person, via email/discussion board, or even in a note under the door. Our learning about diverse perspectives and identities is an ongoing process, and we welcome your perspectives and input.

We also expect that you, as a student in this course, will honor and respect your classmates, abiding by the UCSD Principles of Community (https://ucsd.edu/about/principles.html). Please understand that others’ backgrounds, perspectives and experiences may be different than your own, and help us to build an environment where everyone is respected and feels comfortable.

If you experience any sort of harassment or discrimination, please contact the instructor as soon as possible. If you prefer to speak with someone outside of the course, please contact the Office of Prevention of Harassment and Discrimination: https://ophd.ucsd.edu/.

Students with Disabilities

We aim to create an environment in which all students can succeed in this course. If you have a disability, please contact the Office for Students with Disability (OSD), which is located in University Center 202 behind Center Hall, to discuss appropriate accommodations right away. We will work to provide you with the accommodations you need, but you must first provide a current Authorization for Accommodation (AFA) letter issued by the OSD. You are required to present their AFA letters to Faculty (please make arrangements to contact me privately) and to the OSD Liaison in the department in advance so that accommodations may be arranged.

Basic Needs/Food Insecurities

If you are experiencing any basic needs insecurities (food, housing, financial resources), there are resources available on campus to help, including The Hub and the Triton Food Pantry. Please visit http://thehub.ucsd.edu/ for more information.