CS 218: Design and Analysis of Algorithms
Fall Quarter, 2007
Dec 9: problems discussed in class posted.
Dec 7: hw5 solution posted.
Nov 27: hw5 and solution hw4 posted.
Nov 26: final time/date poster (121207, OLMH 1133, 1130AM230PM).
Nov 21: final syllabus posted.
Nov 14: hw3 solution updated.
Nov 13: hw4 posted.
Nov 13: hw3 solution posted.
Nov 12: hw3 revised (typo).
Nov 9: midterm and solution posted.
Nov 7: some more problems posted.
Nov 5: "dynamic programming" slides posted.
Nov 1: mock exam posted.
Oct 31: hw3 posted.
Oct 30: midterm syllabus posted.
Oct 30: hw2 solution posted.
Oct 18: hw1 solution revised.
Oct 16: hw2 and hw1 solution posted.
Oct 9: "divide and conquer" slides posted.
Oct 5: room change, Surge 171.
Oct 3: problems with the mailing list should be resolved.
Oct 1: homework 1 posted.
Sep 26: room change. SPIETH Hall 1222.
Lecture Schedule Email list Resources Tutorials Animations
Catalog description: CS 218. Design and
Analysis of Algorithms (4) Lecture, 3 hours; outside research, 3
hours. Prerequisite(s): CS 141. Study of efficient data structures and
algorithms for solving problems from a variety of areas such as
sorting, searching, selection, linear algebra, graph theory, and
computational geometry. Worstcase and averagecase analysis using
recurrence relations, generating functions, upper and lower bounds,
and other methods. UCR course schedule,
UCR course
catalog.
Instructor:
Stefano Lonardi (stelo AT cs.ucr.edu)
Office hours: Wedneday 10:3012noon. Office: Engineering 2, 317.
Teaching Assistant:
Vincent Peng (mpeng AT cs.ucr.edu)
Office hours: Thu 2pm3pm (EBU II 110).
Lectures:
TR, 3:40pm5pm Surge 171
Text Book:
Introduction to Algorithms (2nd Edition) by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Cliff Stein, MIT Press.
Prerequisites:
Graduate standing, undergraduate courses in algorithms
and data structures.
Prerequisites by topic:
Discrete Math: asymptotic notation, basic summation formulas,
sets (operations on sets, relations, functions),
counting (permutations, sets, combinations, binomial coefficients),
probability (independence, random variable, expected value)
Basic Data Structures: array, list, queue, stack, binary search
trees, balanced binary search trees, heap
Sorting and Searching: quicksort, mergesort, heapsort, radixsort,
binary search
Graph algorithms: DFS, BFS, connected components, biconnected components,
transitive closure
Digraph algorithms: DFS, BFS, strongly connected components, topological sorting
Tentative list of topics
Intro to Analysis: recurrence relations, master theorem, amortized analysis
Pattern matching: brute force, KMP, tries and suffix trees
Greedy: task scheduling, factional knapsack, Huffman codes, Dijkstra, Prim, Kruskal
UnionFind: list and tree implementation, union by rank and path compression, analysis
Divide and conquer: lineattime selection, Strassen, FFT, Integer multiplication
Dynamic programming: Subset sum, LCS, matrix chain multiplication, FloydWarshall
Graph algorithms: Flow and matching
Numerical algorithms: primality testing, RSA
Data structures: binomial heaps and Fibonacci heaps, splay trees
Actual list of topics
Sep 27: Course overview, Analysis of Algorithms (slides 122)
Oct 2: Analysis of Algorithms (2345)
[HW1 posted]
Oct 4: Analysis of Algorithms (4663)
Oct 9: Analysis of Algorithms (64end), Divide and Conquer (122)
Oct 11: Divide and Conquer (2358)
Oct 16: Divide and Conquer (5971) [HW1 due, HW2 posted]
Oct 18: Divide and Conquer (72end), Greedy (128)
Oct 23: Gredy (2952)
Oct 25: Greedy (5375)
Oct 30: Greedy (76108) [HW2 due, HW3 posted]
Nov 1: Greedy (109end): Lecture by Prof. Young
Nov 6: Midterm Prep
Nov 8: [Midterm (80mins, in class, closed book, closed notes)]
Nov 13: Midterm review, Dynamic Programming (122) [HW3 due, HW4 posted]
Nov 15: Dynamic Programming (2351)
Nov 20: Dynamic Programming (5278)
Nov 22: Thanksgiving
Nov 27: Dynamic Programming (79end), Network Flow (126)[HW4 due, HW5 posted]
Nov 29: Network Flow (27end)
Dec 4: String Matching (1end)
Dec 6: Review [HW5 due]
Dec 12: [Final (OLMH 1133, 1130AM230PM, closed book, closed notes)]
Slides
Intro [PDF 2pages/slide]
Algorithm Analysis [PDF 2pages/slide]
Divide and Conquer algorithms [PDF 2pages/slide]
Greedy algorithms [PDF 2pages/slide]
Dynamic Programming algorithms [PDF 2pages/slide]
Network flow algorithms [PDF 2pages/slide]
Pattern Matching algorithms [PDF 2pages/slide]

Academic dishonesty: Cheating
will be strongly punished (typically
with an F in the course). You can
report cheating anonymously at:
https://www.cs.ucr.edu/cheating/. Assignment
submissions must represent your
original work. Copying from any
sources (web, other books, past or
current students, etc.) is strictly
prohibited. While discussing
assignments together is
encouraged, pooling common answers
is not allowed. Be aware that a
subset of exams may be photocopied,
for comparison with exams submitted
for regrades. Also, be aware that
lying to an instructor in order to be
able to makeup a missed exam or in
other ways to obtain a better grade
can be treated as academic dishonesty.

Regrade policy: Regrade
requests must be submitted in
writing and within two weeks of
the distribution of the graded
material. The entire
homework/test/assignment may be
regraded, not just the problem in
question, so the grade may go up or
down. Thus, think your regrade
requests through carefully. Recording errors should also be pointed out to
the instructor before the last class.

Final grades: Per university
policy, changes to your final grade
will be made only in the event
of a clerical error. Asking your
instructor how far you were from a
cutoff and what extra work you can do
to improve the grade is not
appropriate.

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: When sending electronic
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number, and UCR email
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Cell phones: During lectures
please turn off your
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Written Assignments: All
assignments and solutions will be
posted on the class homepage. Write
your full name with uppercase LAST
name, assignment number, student ID,
login. Write legibly: what cannot be
read will not be graded. Consider
typing the assignment if you
handwriting is hard to read. Written
assignments have to be submitted
before the beginning of the
class on the due date on the
instructor's desk. No
late assignment will be accepted. Any
problem with grading of a written
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latest two weeks after the
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