CS 496: Data Structures for Scientists and Engineers Spring 2017

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1 Instructor: Shawn Healey Contact: Office: GMCS-540 Course Overview Office Hours: T TH Lecture Hours: T TH Lecture Room: LSS-244 Program design and development. Object-oriented programming to include inheritance, polymorphism, and generic code. Representations and operations on basic data structures: Arrays, linked lists, stacks. Prerequisites: CS 107 (Introductory Java) and Mathematics 245 (Discrete Mathematics) This class introduces science and engineering students to a variety of fundamental data structures and algorithms through lecture, directed reading, examination, and programming experience. Students in this course further develop their programming skills by using the standard library implementations of the data structures we discuss to solve intermediate computational problems. This course focuses more so on applying data structures to solve problems rather than studying the intricacies of how the structures themselves work. Required Materials This course incorporates an additional paid, ZyBooks.com textbook. Your instructor shall provide access details via the Blackboard class portal. Optional Materials Data Structures & Algorithms in Java 2nd edition, by Robert Lafore. Sams Publishing. ISBN: Core Java 1, by Cay Horstmann and Gary Cornell, Sun Microsystems Press. ISBN: Semester Goals Relation to the Computer Science Program This course better prepares students for more advanced programming and computational activities found in both professional and educational environments. It relies upon modern computing s current techniques, skills, and development tools. Consequently, successful students at this level will find themselves better positioned for advanced upper-division studies in any field requiring computation. Additionally, the topics we discuss help students understand some of the many trade-offs which occur during the software design process. Moreover, we address the mathematical foundations of algorithms and data structures to help understand how seemingly simple design choices dramatically impact a program s usability.

2 Student Learning Outcomes Gain an understanding of how scientists and engineers use data structures to solve problems, and, conversely, how an inappropriately applied data structure may hinder a solution. Develop the ability to identify, breakdown, and solve a variety of foundational computational problems. Understand the object oriented design paradigm by way of contrast with functional programming concepts. Foundational knowledge of polymorphism, generics, and how these concepts help simplify a project s design and development. Discuss how software quality concepts like automated testing, coding standards, and naming conventions help reduce time spent in development. Increase familiarity with industry standard tools at both the command line and integrated development environment levels. Topics Through the semester, some of the topics we will cover include: Computational thinking Problem abstraction Version Control List ADT Complexity Polymorphism Course Structure Object-oriented programming Error handling Algorithmic Efficiency Abstract Data Types Binary Search Regular Expressions Queue ADT Map/Dictionary ADT Sorting (Selection, Insertion, Quicksort, Mergesort) Examinations, in-class exercises, reading assignments, and programming assignments all serve as vital components in each student s final grade. The approximate grading is as such: Participation: 10% Programming assignments: 40% Midterms 30% Cumulative final: 20% Grading Scale >= 93 A A B B B C C C D D D- <60 F

3 Technology In this course, students must not only author original Java code on the homework assignments, but they must also demonstrate the ability to interpret it on the in-class, timed examinations, and we shall refer to Java throughout the semester. Students unfamiliar with Java but with introductory experience in another modern, object-oriented language like C++ or C# should find the transition to Java somewhat bumpy, but entirely manageable. Veteran developers often use an integrated development environment (IDE) like Eclipse or NetBeans because they provide powerful, advanced functionality and aid in the development cycle. We will use Intellij s IDEA Community Edition IDE ( during this course to introduce students to some of the features and concepts common across development environments. Your instructor shall provide class accounts on the University s CentOS server (edoras) for every student. Students may perform development on personal machines, however, but the class account remains the primary channel for submitting homework assignments. Alternatively, on a per-assignment basis, students might submit via an Instructor provided Blackboard link. Detailed submission instructions appear on each assignment, and students shall treat any instructions appearing there as authoritative. To be clear: do not submit your homework via . The course Blackboard website remains our primary communication tool for announcements, homework prompts, video lectures, and any other supplemental content provided by your instructor. Participation Assignments Credit for reading assignments, in-class activities, and other exercises falls under the participation umbrella. The bulk of these exercises take place on-line through the ZyBooks website, and they remain due precisely on the day and time indicated. Moreover, students receive no credit for late assignments. Programming Assignments Success in this course, and computer science in general, strongly correlates with hands-on experience. The more time students spend programming, the faster they become. Consequently, this class incorporates several, individual programming assignments throughout the semester. Submission details appear on each assignment. Examinations Two midterm exams, each focused on specific sections, and a cumulative final contribute to each student s ultimate grade. Students participating in examinations may not use notes, on-line material, electronic devices, other students, or any books during the test. Once the examination begins, students must remain in the class until completely finished with the test. Do not seek assistance from other students during an exam, for doing so constitutes cheating. Instead, speak with the instructor. The final examination for this course takes place in its lecture room at the following date and time: Tuesday, May

4 Tentative Calendar The dates established herein serve as a rough guide for our semester s progress. Scheduling announcements on the Blackboard course website remain authoritative, so in the event of a conflict, adhere to the Blackboard announcement. Week Topic 1/17 Introduction, Development Environment 1/24 Interfaces and Inheritance 1/31 Other Course Policies Extra Credit Collections, Arrays, ArrayList Last day to add/drop or change basis 2/7 Streams, Recursion, Binary Search 2/14 Generics, Insertion Sort, Selection Sort 2/21 Deques, Sets 2/28 Priority Queues and Heaps 3/7 Midterm 1 3/14 External Libraries and Resources 3/21 Depth-first and Breadth-first Search 3/28 Spring Break 4/4 Linked Lists 4/11 Maps and Hash Tables 4/18 Binary Search Trees 4/25 Fast Sorts (Quicksort, Merge sort) 5/2 Midterm 2 5/4 The last class, this is 5/9 Final Exam Struggling students frequently seek extra credit near the semester s end to help improve an undesirable grade. If the tests, assignments, or lectures leave one befuddled, confused, or uneasy, contact the instructor or teaching assistant as soon as possible, for this section, like most classes in the department at this level, offers ZERO individually-directed extra credit. Extra credit points emerge, if they emerge, in the form of additional examination questions.

5 Electronic Devices Although seemingly obvious, students must silence electronic devices prior to the lecture s start. Special Assistance If you are a student with a disability and believe you will need accommodations for this class, it is your responsibility to contact Student Disability Services at (619) To avoid any delay in the receipt of your accommodations, you should contact Student Disability Services as soon as possible. Please note that accommodations are not retroactive, and that accommodations based upon disability cannot be provided until you have presented your instructor with an accommodation letter from Student Disability Services. Your cooperation is appreciated.

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