CSE5311 Design and
Analysis of Algorithms
Dr. Mohan Kumar
FALL 2008
Course Syllabus and Details
Home Page
Presentations
1.TA office hour (15:00-16:30 Tuesday and Thursday) NH239
2.September 10th --Quiz 1
3.October 1st --Quiz 2
4.November 3rd --Quiz 4
5.Final Exam
Part I: Nov 24th (Monday) 1:00-2:20pm Venue: 110 NH Topics: NP-complete problems (Chapter 8) Local search (Chapter 12 complete) Approximations (Including branch and bound) (11.1,11.2,11.4) Randomized algorithms (13.1, 13.5) Part II: Nov 26th (Wednesday) 1:00-2:20pm Venue: 110 NH Topics: Sorting Graphs Network Flows Dynamic Programming Greedy Algorithms String matching Computational Geometry
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Course DescriptioDesign 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: Mondays/Wednesdays Phone: (817) 272-3610 or main office: (817) 272-3785; WWW site: http://crystal.uta.edu/~kumar/cse5311_08FALL GTA: TBA Office Hours: TBA Location: TBA 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 AssessmentQuizzes 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 10, 2008 Quiz 2 (10%): September 24, 2008 Quiz 3 (10%): October 08, 2008 Quiz 4 (10%): Final
Exam (25 %): Quizzes 1 thru 4 are of duration 30 minutes and the
Final Exam is of duration 2 hours. Group
Project: 35% Students will have the option of doing a group
study or group project. Project problems will be handed out by 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 |