Quick Links: FAQs | Meeting Times | Labs | Textbook | Grading Policy | Academic Integrity | Students with Disabilities


Course Overview

This web page is under construction for the new semester.

This is a course in fundamental computing principles for students with little to no computing background. It covers the following topics:

Meeting Times

Lecture 1 MWF 2:30 - 3:20, GHC 4401, Justin Frye, Dilsun Kaynar, Margaret Reid-Miller.
Lecture 2 MWF 3:30 - 4:20, GHC 4401, Justin Frye, Dilsun Kaynar, Margaret Reid-Miller.
Labs (also known as recitations) R, held by course TAs in GHC 5201 and GHC 5205.

You are required to go to your assigned lecture and lab. Since part of your course grade depends on lab participation, you must go to your assigned section to get lab credit. See Labs for details.

Textbook

There is no required textbook for this course. We will provide lecture slides and draft lecture notes as needed. We will additionally assign some readings from the book Blown To Bits: Your Life, Liberty, and Happiness after the Digital Explosion by Hal Abelson, Ken Ledeen, and Harry Lewis. Publisher: Addison-Wesley, 2008 (ISBN: 978-0137135592). This book is available for free from bitsbook.com. You can buy a hard copy of this book if you wish from any major bookseller.

The following textbooks are recommended as supplementary resources:

Assignments

There are two types of assignments you will complete in this course: problems sets (PS) and programming assignments (PA). Problem sets are written assignments that help you test your understanding of conceptual parts in this course. Programming assignments help you test your programming skills or use of other online tools presented in class. Problem sets are handed in in class and programming assignments are handed in using the tool Autolab. You will be assigned about 11 problem sets and 9-10 programming assignments throughout the semester, but these numbers are subject to change.

Grading Policy

All assignments must be handed in on time (unless you are given instructions otherwise). Late or missing work will receive zero credit. The reason this is done is so that we can get feedback to you as quickly as possible so you can learn from your mistakes and prepare for the exams. Additionally, it allows us to post a sample solution as soon as possible for the benefit of all students. We will drop 1 written assignment and 1 programming assignment with the lowest grade (except where noted). You are required to provide documentation if you could not submit an assignment due to a legitimate reason (e.g. major illness, death in immediate family, university-sanctioned event with verification from advisor or coach, etc.). You must take all exams (written and lab exams) at the times they are given. There will be NO MAKEUPS FOR EXAMS allowed except for acceptable documented circumstances such as the ones listed above.

Your course grade will be calculated based on the following:

Homework Assignments: 30%
Lab Participation: 5%
Two Lab Exams: 10% (5% each)
Two Written Exams: 30% (15% each)
Final Exam: 25%

Grades from all assignments and exams may be reviewed for up to 5 days after they are returned and posted. After this period, the grade is considered final and cannot be changed. We reserve the right to review an entire assignment or exam if it is submitted for re-grading.

We use Autolab for releasing all of your grades and we expect you to use it to keep track of your grade status.

Discussion Forum

We will use Piazza for course announcements and online discussions.

Academic Integrity

The value of your degree depends on the academic integrity of yourself and your peers in each of your classes. Please read the University Policy on Academic Integrity carefully to understand the penalties associated with academic dishonesty at Carnegie Mellon University.

Academic integrity means that any work you submit for this course is your own. This is critical to your learning. The policy's intention is that you never hand in something you don't understand. Your understanding must be deep enough that, if necessary, you could re-do the work completely on your own. In short, do your own work.

We want you to collaborate with other students only if the collaboration improves your understanding. Therefore, you can talk about the assignments, but no one may take notes or record the discussion. When you write your solution, it should be yours. Go to a separate area and write your own code or answers. Do this individually so that you don't end up copying someone else's work. Your own solution, even if it is incorrect, is much better than someone else's that you don't understand.

When working on programming assignments, do not look at other students' code or show them your own. If you need that kind of help, get it from the course staff. You may discuss your code at a conceptual level; for example, "do we need a loop for this purpose or just an if statement?". You may collaborate on code at a whiteboard, but you may not take notes or photographs; the purpose of the collaboration is to develop your understanding so that you can then solve the problem yourself, on your own.

If the course staff sees similarities between your work and that of another student, we will attempt to understand what happened. Usually this involves asking you to explain your work and how you did it, and to re-create the work or solve a related problem during our meeting.

For exams, your work must be your own with no communication between you and others (except course staff), and you may use only authorized materials.

Often students have trouble keeping up with the workload due to personal issues. If this happens to you, your best action is to see your instructors. We can help you work toward a solution and will be happy to assist.

In this class, cheating, copying, or plagiarism means copying all or part of a program or homework solution from another student or unauthorized source, or knowingly giving such information to another student, or handing in a copy of work that you and another student did together, or giving or receiving unauthorized information during an examination. If you use information from another authoritative resource, you must cite the source of this information (and receive permission if required).

Students who violate this policy will be charged with academic dishonesty that can result in failure in this course and possible expulsion from Carnegie Mellon University. Review the official University Code for more information.

Every student is required to sign and return the Academic Integrity Form within the first week of classes.

Students with Disabilities

Individuals with documented disabilities may be eligible to receive services and accomodations from CMU's Equal Opportunity Services (EOS) office. For more information, please contact Larry Powell, Manager of Disability Services at (412) 268-2013 (voice/TTY).

Frequently Asked Questions