CMSC 351 Algorithms
Williams Building 3217 Office hours: TuTh 12:30--1:30
(or by appointment) On FRI Nov 1 I will be around at 10:30am
Williams Building 3217 Office hours: TuTH 3:30-4:30
(or by appointment)
Shang-chieh J. Wu(email@example.com)
Williams Building 1151 Office hours: 9:00-12:00 Wed
Srinivas Kashyap (firstname.lastname@example.org)
A.V.Williams Building 1151 Office hours: 1:00p-4:00p Mon
Haibin Ling (email@example.com)
Williams Building 1151 Office hours: 12:00-2:45pm Wed
Office hour at Dec 18 will end at 1:30pm
There will be an additional review session CSIC 1121 today, December 16th 6:00-7:00.
There may be a review session on Monday Dec 16th from 6:00-7:00. IF we cand find a room. If there is, it will be posted here monday afternoon.
Because classes were canceled on Thursday December 5, you do not
need to do problem 5 on Homework 9. The homework IS still due on
December 10 as specified.
There will be a REVIEW SESSION in CSIC 3117 on Tuesday Dec 17th from 12 to 1pm.
The final exam (for all sections) will be held in PHY 1412 on December 18, 4-6 pm.
Look under COMMON FINALS FOR CMSC 251 (old number of this class).
YOU MAY BRING ONE SHEET OF NOTES LIKE YOU DID FOR THE MIDTERM.
The final is now graded. Final grades will be assigned on Monday the 23rd. If you need
to see your exam, you may see it on 24th Dec between 10am and 12 noon.
The midterm is now graded. The following link contains the scores based on
last 4 digits of your S.ID.
Scores till Now
(last updated: 12/19/02) If the link does not work, it just means that the information is still being
entered by the TA's. Do not send email.
If your grand total out of 53 is lower than 25, it does look as if you
will not pass this class unless you get close to a FULL score on the
final exam (which given your performance until now, is a low probabilty
The quiz will be 30 minutes during lecture on October 8. You will be allowed to bring in one sheet of paper with any formulas written on it that you want.
A sample sheet is available here (in ps) and here (in pdf)
HW 2 (pdf)
HW 2 Solution(ps)
HW 2 Solution(pdf)
HW2 Grading Explanation(pdf)
HW 3 (pdf)
HW 3 Solution(ps)
HW 3 Solution(pdf)
HW 3 Grading Policy (PDF)
HW 4 (pdf)
HW 4 Solution(ps)
HW 4 Solution(pdf)
HW 4 Grading Policy(PDF)
HW 5 (pdf)
HW 5 Solution(ps)
HW 5 Solution(pdf)
HW 5 Grading Explanation
HW 6 (pdf)
HW 6 Solution(ps)
HW 6 Solution(pdf)
HW 7 (pdf)
HW 7 Solution(ps)
HW 7 Solution(pdf)
HW 7 Grading Explanation
HW 8 (pdf)
HW 8 Solution(ps)
HW 8 Solution(pdf)
HW 8 Grading Explanation
HW 9 (pdf)
HW 9 Solution(ps)
HW 9 Solution(pdf)
HW 9 Grading Explanation
Sample Midterm Solutions(pdf)
This course presents an introduction to the techniques for designing
efficient computer algorithms and analyzing their running times. General
topics include asymptotics, solving summations and recurrences, algorithm
design techniques, graph algorithms and analysis of data structures, and introduction
to Algorithms, Second Edition
by Thomas H. Cormen,
Charles E. Leiserson,
Ronald L. Rivest,
and Clifford Stein
published by MIT Press and McGraw-Hill.
CMSC 214 and CMSC 250.
Each student is expected to know the basic concepts of programming
(e.g. loops, pointers, recursion), discrete mathematics (proof by induction,
sets), simple data structures (lists, stacks, queues, trees), and calculus
(logarithms, differentiation, integration).
Course work will consist of 10 homework assignments,
and 3 exams (one quiz, one midterm and a comprehensive final).
The quiz will be around the end of september (date will
be discussed in class) and the midterm in late October.
The final exam will be on ***.
will generally be mathematically oriented (some of the homeworks may involve
Homeworks are to be turned in at the start of class on the due date.
Homeworks will usually be given out on Tuesday's and will be due
a week later.
Since homework solutions may be discussed in class, NO LATE HOMEWORKS
WILL BE ACCEPTED. (In other words, hand in whatever you have finished.)
All class work is to be done independently.
dishonest policy of the University will be taken very seriously.
Assignments are to be written up NEATLY. Badly written assignments
will not be graded. Please staple your homework.
It is your responsibility to make sure that you pick up all homeworks
and handouts. All course information and homeworks will be available
on the web page. Solutions to homeworks will posted on the secure
class web page.
Final grades will be based on homework assignments, the quiz, the
midterm exam, and the comprehensive final exam. The relative weights
of these will be 15% for the homework total, 15% for the quiz, 30% for
the midterm, and 40% for the final exam.
The topics and order listed below are tentative and subject to change.
Other topics to be covered time permitting:
Introduction (Chapter 1)
Insertion Sort/First Analysis (Chapter 2)
Growth of Functions (Chapter 3)
Recurrences (Chapter 4)
Heapsort (Chapter 6)
Quicksort (Chapter 7)
Graphs and Trees (Sections B.4 and B.5)
Dijkstra's Algorithm (Section 24.3)
NP-Completeness (Chapter 34)
Sorting in Linear Time (Chapter 9)
Medians and Order Statistics (Chapter 9)
String Matching (Chapter 32)