CS 2302 Data Structures Summer 2012

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1 1. General Information Instructor: CS 2302 Data Structures Summer 2012 Olac Fuentes Web: Office hours: Mondays and Wednesdays 2:00-3:30, or by appointment, in CCSB (feel free to drop by at other times if my door is open). Chat: Teaching Assistants (TAs): María Jiménez Office hours: TBA Chat: Mohammad Shajib Khan Office hours: TBA Chat: TBA Peer Leader: Albert Viera miners.utep.edu Office hours: TBA Chat: TBA Lectures M-F 12:00-13:05, Classroom CCSB Class web site: Textbook Data Structures and Algorithm Analysis in Java, by Mark Allen Weiss. Addison Wesley, Second Edition, Objectives and Outcomes This is the third and final course in the fundamental computer science sequence. Students will learn about fundamental data structures and analysis and design of algorithms.

2 Level 3 Outcomes: Synthesis and Evaluation: Level 3 outcomes are those in which the student can apply the material in new situations. This is the highest level of mastery. On successful completion of this course, students will be able to: 1. Given a problem, define the data structures that are required to solve it efficiently. 2. Given a non-recursive algorithm, examine its loop structure, infer its asymptotic running time, and express it using big-o notation. 3. Given a recursive algorithm, examine its structure, pose and solve a recurrence equation defining its running time, and express it using big-o notation. Level 2: Application and Analysis: Level 2 outcomes are those in which the student can apply the material in familiar situations, e.g., can work a problem of familiar structure with minor changes in the details. Upon successful completion of this course, students will be able to: 1. Describe, implement, and use the following data structures: o Heaps o Hash tables o Balanced trees o Graphs o Disjoint set data structure 2. Describe, implement, and apply the following graph algorithms: o Connected components o Breadth-first search o Depth-first search o Topological sorting o Minimum spanning trees (Kruskal's and Primm's) o Single-source shortest paths 3. Trace the behavior of recursive programs using activation records. Level 1: Knowledge and Comprehension Level 1 outcomes are those in which the student has been exposed to the terms and concepts at a basic level and can supply basic definitions. On successful completion of this course, students will be able to: 1. Identify and explain the following algorithm design techniques: o Greedy algorithms o Divide and conquer o Dynamic programming o Backtracking 2. Explain the concept of NP completeness. 3. Explain the utility of randomized algorithms. 3. Policies and Other Information Prerequisites: Minimum "C" grade in CS2401 and MATH 2300.

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CS 2302 Data Structures Spring 2015

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