CSCI E-50 Syllabus

Spring 2017

Introduction to the intellectual enterprises of computer science and the art of programming. This course teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. Designed for concentrators and non-concentrators alike, with or without prior programming experience

Expectations

You are expected to

  • submit nine problem sets,

  • take one test and one quiz, and

  • submit a final project.

Website

Grades

If taking the course for a letter grade, you must ordinarily submit all nine problem sets, take one test and one quiz, and submit a final project in order to be eligible for a satisfactory grade unless granted an exception in writing by the course’s heads.

Final grades are determined using the following weights:

Problem Sets

50%

Test

25%

Quiz

15%

Final Project

10%

Problem sets and the final project are evaluated primarily along axes of correctness, design, and style, with scores ordinarily determined by (3 × correctness + 2 × design + 1 × style). Scores are normalized across teaching fellows at term’s end, so mid-semester comparisons among students of scores are not reliable indicators of standing.

Although you must submit all nine problem sets, your lowest score among those problem sets on which you completed all problems therein in a manner that evinces a non-trivial effort (as determined by the course’s heads) will be dropped when final grades are determined.

Know that CS50 draws quite the spectrum of students, including "those less comfortable," "those more comfortable," and those somewhere in between. However, what ultimately matters in this course is not so much where you end up relative to your classmates but where you, in Week 11, end up relative to yourself in Week 0.

The course is not graded on a curve. The course does not have pre-determined cutoffs for final grades. Those less comfortable and somewhere in between are not at a disadvantage vis-à-vis those more comfortable. Each student’s final grade is individually determined at term’s end after input from the teaching fellows. Remarkable effort and upward trending are considered.

Books

No books are required or recommended for this course. However, you might find the below books of interest. Realize that free, if not superior, resources can be found on the course’s website.

C Programming Absolute Beginner’s Guide, Third Edition
Greg Perry, Dean Miller
Pearson Education, 2014
ISBN 0-789-75198-4

Hacker’s Delight, Second Edition
Henry S. Warren Jr.
Pearson Education, 2013
ISBN 0-321-84268-5

How Computers Work, Tenth Edition
Ron White
Que Publishing, 2014
ISBN 0-7897-4984-X

Programming in C, Fourth Edition
Stephen G. Kochan
Pearson Education, 2015
ISBN 0-321-77641-0

Lectures

This semester’s lectures were filmed in Fall 2016. All are available on video via the course’s website. Below are dates on which (or close to which) we recommend that each week’s lecture be viewed, to best prepare you for that week’s problem set.

Lecture Watch on

Week 0

Scratch

Wed 1/25

Week 1

C

Fri 1/27

Week 2

Arrays

Fri 2/3

Week 3

Algorithms

Fri 2/10

Week 4

Memory

Fri 2/17

Week 5

Data Structures

Fri 2/24

Week 6

HTTP

Fri 3/3

Week 7

Machine Learning

Fri 3/10

Week 8

Python

Fri 3/17

Week 9

SQL

Fri 3/24

Week 10

JavaScript

Fri 3/31

Week 11

The End

Fri 4/21

Sections

Lectures are supplemented by weekly, 90-minute sections led by the teaching fellows. Sections provide you with opportunities to explore the course’s material with classmates, whether on campus (demand permitting) or online. A detailed schedule of sections will appear on the course’s website during Week 1. A general schedule of sections appears below.

Section Dates

C

Wed 2/1*

Arrays

week of Sun 2/5

Algorithms

week of Sun 2/12

File I/O

week of Sun 2/19

Data Structures

week of Sun 2/26

Review for Test

week of Sun 3/5**

Python

week of Sun 3/19

SQL

week of Sun 3/26

JavaScript

week of Sun 4/2

Review for Quiz

week of Sun 4/9**

* Course-wide and pre-recorded. ** Pre-recorded material available to supplement section.

Office Hours

Office hours are opportunities for help with problem sets alongside the course’s teaching fellows and course assistants.

Office hours begin during Week 1. A schedule of office hours will appear on the course’s website.

Walkthroughs

Integrated into problem sets are "walkthroughs," videos that offer direction on where to begin and how to approach problems. You are expected to watch walkthroughs before asking questions about problem sets at office hours or via CS50 Discuss.

Postmortems

Available after problem sets' deadlines are "postmortems," videos via which the course’s staff explore actual solutions to problem sets. You are encouraged to watch postmortems for insights into how else you could have (or should have!) implemented your own solutions.

Problem Sets

Nine problem sets are assigned during the semester. Each is due by noon (Eastern time) on a Monday. Late work is not ordinarily accepted, except in cases of emergency. Although you must submit all nine problem sets, your lowest score among those problem sets on which you completed all problems therein in a manner that evinces a non-trivial effort (as determined by the course’s heads) will be dropped when final grades are determined.

A schedule of problem sets, subject to change, appears below.

Problem Set Language Released Due

Problem Set 0

Scratch

Wed 1/25

Mon 1/30, noon

Problem Set 1

C

Fri 1/27

Mon 2/6, noon

Problem Set 2

C

Fri 2/3

Mon 2/13, noon

Problem Set 3

C

Fri 2/10

Mon 2/20, noon

Problem Set 4

C

Fri 2/17

Mon 2/27, noon

Problem Set 5

C

Fri 2/24

Mon 3/6, noon

Problem Set 6

Python

Fri 3/17

Mon 3/27, noon

Problem Set 7

Python, SQL

Fri 3/24

Mon 4/3, noon

Problem Set 8

JavaScript

Fri 3/31

Mon 4/10, noon

Test

Released Due

Fri 3/10, noon

Mon 3/13, noon

Due by noon on Mon 3/13 is a take-home test that will cover Weeks 0 through 5 (and Problem Sets 0 through 5). The test is open-book: you may use any and all non-human resources during the test, but the only humans to whom you may turn for help or from whom you may receive help are the course’s heads.

Quiz

Released Due

Tue 4/18, noon

Thu 4/20, noon

Due by noon on Thu 4/20 is a take-home quiz that will cover Weeks 0 through 10 (and Problem Sets 0 through 8), with emphasis on Week 6 (and Problem Set 6) onward. The quiz is open-book: you may use any and all non-human resources during the quiz, but the only humans to whom you may turn for help or from whom you may receive help are the course’s heads.

Final Project

The climax of this course is its final project. The final project is your opportunity to take your newfound savvy with programming out for a spin and develop your very own piece of software. So long as your project draws upon this course’s lessons, the nature of your project is entirely up to you, albeit subject to the staff’s approval. You may implement your project in any language(s) as long as the staff approves. You are welcome to utilize any infrastructure, provided the staff ultimately has access to any hardware and software that your project requires. All that we ask is that you build something of interest to you, that you solve an actual problem, that you impact campus, or that you change the world. Strive to create something that outlives this course.

Inasmuch as software development is rarely a one-person effort, you are allowed an opportunity to collaborate with one or two classmates for this final project. Needless to say, it is expected that every student in any such group contribute equally to the design and implementation of that group’s project. Moreover, it is expected that the scope of a two- or three-person group’s project be, respectively, twice or thrice that of a typical one-person project. A one-person project, mind you, should entail more time and effort than is required by each of the course’s problem sets. Although no more than three students may design and implement a given project, you are welcome to solicit advice from others, so long as you respect the course’s policy on academic honesty.

Extensions on the final project are not ordinarily granted, except in cases of emergency. Lateness of submissions is determined down to the minute by submissions' timestamps. Submitting more than seven minutes late is equivalent to not submitting at all.

Milestone Date

Pre-Proposal

Fri 4/7, noon

Proposal

Fri 4/14, noon

Status Report

Mon 5/1, noon

Implementation

Thu 5/11, noon

CS50 Fair

Fri 5/12, 5:30pm – 7pm

CS50 Fair

From 5:30pm until 7pm on Fri 5/12 is the CS50 Fair, an epic display of final projects (albeit smaller than the fall term’s). The CS50 Fair will be an optional opportunity to mingle with classmates, enjoy demos, and eat cake. Family and friends are welcome to join.

Academic Honesty

This course’s philosophy on academic honesty is best stated as "be reasonable." The course recognizes that interactions with classmates and others can facilitate mastery of the course’s material. However, there remains a line between enlisting the help of another and submitting the work of another. This policy characterizes both sides of that line.

The essence of all work that you submit to this course must be your own. Collaboration on problem sets is not permitted except to the extent that you may ask classmates and others for help so long as that help does not reduce to another doing your work for you. Generally speaking, when asking for help, you may show your code to others, but you may not view theirs, so long as you and they respect this policy’s other constraints. Collaboration on the course’s test and quiz is not permitted at all. Collaboration on the course’s final project is permitted to the extent prescribed by its specification.

Below are rules of thumb that (inexhaustively) characterize acts that the course considers reasonable and not reasonable. If in doubt as to whether some act is reasonable, do not commit it until you solicit and receive approval in writing from the course’s heads. Acts considered not reasonable by the course are handled harshly. If the course refers some matter for disciplinary action and the outcome is punitive, the course reserves the right to impose local sanctions on top of that outcome that may include an unsatisfactory or failing grade for work submitted or for the course itself. The course ordinarily recommends exclusion (i.e., required withdrawal) from the course itself.

If you commit some act that is not reasonable but bring it to the attention of the course’s heads within 72 hours, the course may impose local sanctions that may include an unsatisfactory or failing grade for work submitted, but the course will not refer the matter for further disciplinary action except in cases of repeated acts.

Reasonable

  • Communicating with classmates about problem sets' problems in English (or some other spoken language).

  • Discussing the course’s material with others in order to understand it better.

  • Helping a classmate identify a bug in his or her code at office hours, elsewhere, or even online, as by viewing, compiling, or running his or her code, even on your own computer.

  • Incorporating a few lines of code that you find online or elsewhere into your own code, provided that those lines are not themselves solutions to assigned problems and that you cite the lines' origins.

  • Reviewing past semesters' quizzes and solutions thereto.

  • Sending or showing code that you’ve written to someone, possibly a classmate, so that he or she might help you identify and fix a bug.

  • Sharing a few lines of your own code online so that others might help you identify and fix a bug.

  • Turning to the course’s heads for help or receiving help from the course’s heads during the quiz or test.

  • Turning to the web or elsewhere for instruction beyond the course’s own, for references, and for solutions to technical difficulties, but not for outright solutions to problem set’s problems or your own final project.

  • Whiteboarding solutions to problem sets with others using diagrams or pseudocode but not actual code.

  • Working with (and even paying) a tutor to help you with the course, provided the tutor does not do your work for you.

Not Reasonable

  • Accessing a solution to some problem prior to (re-)submitting your own.

  • Asking a classmate to see his or her solution to a problem set’s problem before (re-)submitting your own.

  • Decompiling, deobfuscating, or disassembling the staff’s solutions to problem sets.

  • Failing to cite (as with comments) the origins of code or techniques that you discover outside of the course’s own lessons and integrate into your own work, even while respecting this policy’s other constraints.

  • Giving or showing to a classmate a solution to a problem set’s problem when it is he or she, and not you, who is struggling to solve it.

  • Looking at another individual’s work during the test or quiz.

  • Paying or offering to pay an individual for work that you may submit as (part of) your own.

  • Providing or making available solutions to problem sets to individuals who might take this course in the future.

  • Searching for or soliciting outright solutions to problem sets online or elsewhere.

  • Splitting a problem set’s workload with another individual and combining your work.

  • Submitting (after possibly modifying) the work of another individual beyond the few lines allowed herein.

  • Submitting the same or similar work to this course that you have submitted or will submit to another.

  • Submitting work to this course that you intend to use outside of the course (e.g., for a job) without prior approval from the course’s heads.

  • Turning to humans (besides the course’s heads) for help or receiving help from humans (besides the course’s heads) during the quiz or test.

  • Viewing another’s solution to a problem set’s problem and basing your own solution on it.

Acknowledgement and Authorization

Harvard plans to record audio, photos, and video of Computer Science 50 (CS50) lectures, sections, office hours, seminars, and other events and activities related to CS50 (the "Recordings"), with the aims of making the content of the course more widely available and contributing to public understanding of innovative learning (the "Projects"). The Recordings, or edited versions of them, may be made available to other Harvard students, to students at other educational institutions, and to the broader public via edX, the Internet, television, theatrical distribution, digital media, or other means. It is also possible that the Recordings may be used to make other derivative works in the future. Students may elect not to appear in photos and video used in the Projects and may still participate fully in CS50.

When you submit Problem Set 0, you will need to sign online an Acknowledgement and Authorization in the following form:

I understand that, if I do not wish any photos or video of me to be used as part of the Projects, I should so inform the course’s instructor by emailing recordings@cs50.harvard.edu within one week of enrolling in CS50. In that event, I understand that I should sit in the designated "no-film" zone of CS50 classrooms and should not walk in the field of view of the cameras. I understand that Harvard will take reasonable steps, with my cooperation, to avoid including identifiable images of me in the Projects' photos and video shot in classrooms and other course locations after I opt out as just described. I understand that I am free to opt out of the Projects' photos and video in this way, and that doing so will not affect my grade or my ability to participate in course activities.

Unless I opt out of the Projects' photos and video as described above and take the steps that will be outlined by the instructor to avoid being filmed, I authorize Harvard and its designees to record and use photos and video of my participation in CS50 and activities related to CS50 (the "Recordings"). I understand and agree that the Recordings may include my image, name, and voice. I also understand and agree that, even if I opt out of the Projects' photos and video, my spoken name and voice may be picked up by microphones outside the "no-film" zone and may be included in the Recordings.

I understand and agree that Harvard and its designees will have the irrevocable, worldwide right to make, edit, modify, copy, publish, transmit, distribute, sell, publicly display, publicly perform, and otherwise use and make available its respective Recordings and any other works that may be derived from those Recordings, in any manner or medium now known or later invented, and to authorize others to do so as well. I hereby transfer to Harvard any rights, including copyrights, I may have in the Recordings that Harvard makes. I will remain free to use and disseminate any ideas, remarks, or other material that I may contribute to course discussions.

I acknowledge and agree that I will not be entitled to any payment, now or in the future, in connection with the Recordings or any works derived from them. This Acknowledgment and Authorization is a binding agreement, and is signed as a document under seal governed by the laws of the Commonwealth of Massachusetts.

Unless you opt out as described in the Acknowledgment and Authorization, you are agreeing, by attending CS50, that your participation in CS50 and related activities may be recorded and used by Harvard in connection with the Projects without further obligation or liability to you, even if you do not sign any authorization.

If you have any questions about the above, contact recordings@cs50.harvard.edu.