Website for BU's CS 131 in Spring 2017.
Instructor: Prof. Lorenzo Orecchia.
Office hours: M 12n-1p, F 1p-2p, in MCS 135D.
Teaching Fellow: Hannah Flynn (hmflynn at bu.edu)
Office hours: T 2-3.30pm, W 5-6.30pm in the Undegraduate Lab.
Undergraduate Assistants:
Jiadong Chen (chenjd at bu.edu)
Tutoring hours: T6-7.30 in the Undergraduate Lab
Sarah M’Saad (sarms at bu.edu)
Tutoring hours: W5-6.30 in the Undergraduate Lab
Lectures: Tue,Thu 3.30pm-4.45pm in KCB-101.
Labs:
A2: Wed 11.15am-12.05pm, in MCS B33
A3: Wed 1.25pm-2.15pm, in MCS B25
A4: Wed 2.30pm-3.20pm, in MCS B21
A5: Wed 3.35pm-4.25pm, in BRB 122
Syllabus: see the tentative course schedule here.
Representation, analysis, techniques, and principles for manipulation of basic combinatoric structures used in computer science. Rigorous reasoning is emphasized. The course is a required class for CS concentrators.
Prerequisites: high school mathematics.
This webpage will not update during the course. All communications and course administration will be managed through the two following websites:
We will use Piazza for class discussion. Our class page is located at: https://piazza.com/bu/spring2017/cs131/home. Please sign up for access here. We will also use Piazza to post announcements,homework assignments, handouts and other communications. We encourage you to post answers to student questions there (but obviously, not answers to problems on the problem sets!). Your activity on Piazza may be taken into account as part of the participation component of your grade.
We will use the Blackboard website for CS131 for its gradesheet capability and for some self-assessment tasks.
During lecture, we will be using clickers as an audience response system. All students should set up a clicker (or use the equivalent smartphone app) and register it for CS 131 by following the instructions here.
The main textbook for this class will be Discrete Mathematics and Its Applications by Kenneth Rosen. The book is also available at the campus bookstore.
At the beginning of the term, we will learn the basics of logic, set notation, and elementary proof techniques. If you are unfamiliar with devising and writing proofs, you may consider the textbook How To Prove It: A Structured Approach by Daniel Velleman. Available on Amazon and at the campus bookstore.
There will be two in-class midterms:
There will also be a final at the end of the semester.
Assignments will typically be due Thursday at 12PM noon. You must submit a hardcopy no later than 12PM noon in the drop box on the first floor of the MCS building, near the CS department office. From the CS office, walk toward the shorter end of the hallway, and turn right. Drop box is immediately on your right. Assignments must go in the box marked CS131, not on the shelves above. Plan on assignments being due every week, except right after a midterm.
We will post solutions shortly after the noon deadline, so homework assignments will not be accepted late. To compute your homework grade, we will automatically drop the lowest score from the 10 assignments, so one bad homework grade is not the end of the world. However, we strongly recommend putting forth your best effort on all assignments, as they provide the best preparation for the exams.
The course score will be broken down as follows:
The process of turning scores into grades will be mostly based on the relative score compared to the class as a whole, with a smaller component depending on the absolute value of the score. We will strive to provide the students with predicted letter grades after each midterm.
Last day to drop without a W: February 23. With a W: March 31. Our midterms are scheduled with these dates in mind.
Regrading Procedure: If, after reviewing the posted solutions, you still believe a portion of your homework was graded in error, you may request a regrade. Please write, on a PostIt, the problem number and a brief description of the incorrect deduction, stick it on your homework, and give it to the instructor or the TA for a regrade. Note that when we regrade a problem, your score may go up or down.
Attendance: It is expected that you will attend lecture and the laboratory section for this course and we will take attendance at the beginning of lecture and lab on occasion. Some material covered in lecture and lab will not be covered by our textbooks.
Collaboration Policy: