CSE5311 Design and
Analysis of Algorithms
FALL 2007
Instructor: Dr. Mohan Kumar
Home Page -
Exercise problems updated -
Syllabus for FINALS (pdf) -
Final Exam on Dec 3 (12-2:15PM) -
Project Deadline: Dec 10 (9 AM) -
Projects submitted after the above date will not be accepted.
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Course DescriptionDesign and Analysis of Algorithms is THE most
important basic course in any graduate computer science and engineering
curriculum. It is vital for every computer science student to be fluent with
algorithms and their analysis. ALGORITHMS ARE FUN;
ALGORITHM ANALYSIS is a NECESSARY TOOL; Students are encouraged
to solve homework problems and discuss/solve problems in the class. Each
student will be given one specific algorithm or problem to carry out an
in-depth study. Typically, this course should be
taken in the very first semester of your graduate study because algorithms
are used in Networks, Operating Systems, Databases, and other (including
advanced) courses. Course ObjectivesThe objective of this course is to build a solid foundation of the most important fundamental subject in computer science. Creative thinking is essential to algorithm design. Algorithm analysis and verification demands sound mathematical acumen and programming skills. Course PrerequisitesData Structures (CSE 2320) and Theoretical Concepts in Computer Science and Engineering (CSE 3315) OR Equivalent. Mode of TeachingMode of Teaching: The class meets
twice a week (Mondays and Wednesdays The course on Algorithms is critical
to your development as a computer scientist, a researcher, a creative thinker
and/or a problem solver. This is a fundamental course - algorithms are
extensively used in databases, networks, artificial intelligence,
bioinformatics, pervasive and mobile computing, robotics, security,
architecture, all engineering and science disciplines, finance, management,
music, biology and indeed in everyday life. In this course you will be
encouraged to think on your own and to discuss solutions with your peers. The
course is not limited to any programming language. Students are strongly
encouraged to use the text book and the course material that will be
available and updated from time to time on the course page.
Instructor: Mohan Kumar, 333 NH Class: Mon/Wed - Email: mailto:kumar@cse.uta.edu Office
Hours: Tuesdays – Phone: (817) 272-3610 or main office: (817) 272-3785; WWW site:
http://crystal.uta.edu/~kumar/cse5311_07FALL GTA: Arjun Dasgupta Office Hours: Thursday 3-5 pm or by appointment Location: Course Syllabus:· Review of Asymptotic Analysis and Growth of Functions; Trees, Heaps, and Graphs; and Recurrences. · Greedy Algorithms: Minimum spanning tree, Union-Find algorithms, Kruskal's Algorithm, Clustering, Huffman Codes, and Multiphase greedy algorithms. · Dynamic Programming: Shortest paths, negative cycles, matrix chain multiplications, sequence alignment, RNA secondary structure, application examples. · Network Flow: Maximum flow problem, Ford-Fulkerson algorithm, augmenting paths, Bipartite matching problem, disjoint paths and application problems. · NP and Computational tractability: Polynomial time reductions; The Satisfiability problem; NP-Complete problems; and Extending limits of tractability. · Approximation Algorithms, Local Search and Randomized Algorithms · Applications of Algorithms, sample examples Text book
Algorithm Design Pearson Addison-Wesley ISBN 0-321-29535-8 ReferencesClass Notes, Power point slides, and Exercise Problems The Design and Analysis of Algorithms 1974 AV Aho, JE Hopcroft and JD Ullman, Addison-Wesley Publishing Company Introduction to Algorithms: A Creative Approach, Reprinted
1989 Udi Manber, Addison-Wesley Publishing Company Introduction to Algorithms, Second Edition, 2001 T Cormen, C Graph Algorithms, 1979 Shimon Even, Computer Science Press Introduction to the Theory of Computation, 1992 Michael Sipser, PWS Publishing Company The Art of Computer Programming, Vols. 1 and 3 Knuth, Addison Wesley Publishing Company AssessmentCourse
grades will be based on the following: Class participation: ACTIVE
Participation will prepare you well for Quizzes and Exams Students are
expected to interact actively during lectures. All students are expected to
solve homework problems and discuss solutions in the class. Quizzes and class participation:
40% The structure of the quizzes will
be discussed in class, at least one week prior to the quiz. Quiz
1 (10%): September 26, 2007 Quiz
2 (10%): October 10, 2007 Quiz
3 ( 10%): October 31, 2007 Quiz
4 (10%): November 14, 2007 Final Exam (25 %): December 3,
2007 Quizzes 1 thru 4 are of duration 30
minutes and the Final Exam is of duration 2 hours. Project or research study : 35% Students will have the option of
doing a research study or project. Project problems will be handed
out by September 15, 2007 and the
expected date of Completion is November 30, 2007.
The students will be required to write programs and run experiments. OR Students will be given a research
problem to work on. Students are encouraged to come up with new and creative
ideas. A presentation and demonstration
of the projects/research problem will be during the first week of
December 2007. Homework Assignments: No Grades awarded directly! Missed Exams, Quizzes, and Makeup WorkIf you miss an exam or quiz due to unavoidable circumstances (e.g., health), email the instructor for an appointment or meet with him during office hours. Do NOT ask for make up exams or other components if you missed an exam or a project due to travel (except when you are required to travel to represent the university or the department). Attendance and Drop PolicyAttendance though not mandatory, is HIGHLY encouraged. Class participation is important to your grade in the 'Quizzes and Class Participation' component Final Review Week
A period of five class days prior to the first day of final examinations in the long sessions shall be designated as Final Review Week. The purpose of this week is to allow students sufficient time to prepare for final examinations. During this week, there shall be no scheduled activities such as required field trips or performances; and no instructor shall assign any themes, research problems or exercises of similar scope that have a completion date during or following this week unless specified in the class syllabi. . During Final Review Week, an instructor shall not give any examinations constituting 10% or more of the final grade, except makeup tests and laboratory examinations. In addition, no instructor shall give any portion of the final examination during Final Review Week. Americans With Disabilities Act |