The course covers the fundamentals of data structures and object-oriented programming. They are two sides of the same coin. As a programmer becomes more proficient, they realize that how well and efficiently a problem can be solved often depends on how the data are stored. Some of the ideas are quite sophisticated and clever, and we will explore a spectrum of them in this class, ranging from fairly basic to moderately advanced structures.
The other side is that once one realizes the importance of data structures, it is natural to think of programs not as sequences of instructions that pass around some data, but as data packets that come with the code needed to process them. This is at the heart of the object-oriented design paradigm, and often leads to more modular and extensible (and readable) programs. We will learn about the basics of object-oriented programming, along with many of the interesting things that can be naturally done within the paradigm.
The class will put significant emphasis on a theoretical understanding of data structures, their implementation, and the object-oriented viewpoint. Assignments will contain significant programming projects along with programming-free questions to explore how data structures work.
- Ability to choose appropriate and efficient data structures and algorithms to solve a problem.
- Ability to compare data structures and algorithms for efficiency using algorithm analysis and experiments.
- Ability to apply algorithm analysis and knowledge of discrete mathematics to evaluate algorithms and data structures.
- Ability to implement and use linear data structures, including stacks, queues, lists.
- Ability to implement and use search structures and algorithms including binary search, search trees, and hash tables.
- Ability to use and implement search data structures, including search trees and hash tables.
- Ability to use and implement priority queues.
- Knowledge of and ability to implement sorting algorithms and compare their performance analytically and empirically.
- Understanding of graphs and their representations; ability to implement graph search using BFS, DFS, and Dijkstra's Algorithm.
- Ability to solve problems using pointers and dynamically managed memory.
- Ability to write recursive functions and understand when recursion is appropriate to a problem.
- Ability to design, document, and implement classes and object hierarchies.
- Ability to apply tools and techniques for program correctness, such as unit testing, use of a symbolic debugger, and assert statements.
- Ability to write readable and maintainable code.
- Ability to explain computational solutions in person and in writing.
Introduces the student to standard data structures (linear structures such as linked lists, (balanced) trees, priority queues, and hashtables), using the C++ programming language.
- CSCI 103: Introduction to Programming
- CSCI 109: Introduction to Computing
- CSCI 170: Discrete Methods in Computer Science
Lecture / Labs
See Sections page.
Data Abstraction & Problem Solving with C++, 6th Ed. Carrano & Henry, Pearson, 2013 (ISBN 978-0132923729)
The textbook is required. While the class will not always follow the order or presentation style of the textbook, the textbook is an excellent source for much of the material. Students can use older versions of the textbook if they so desire. In that case, it is the students' responsibility to ensure that they have access to all required material.
In addition to the textbook, you should download (and possibly print) the Lecture notes. These are based on teaching of CSCI 104 in past semesters, and cover the material quite accurately as presented in class. However, the lecture notes may be out of order as we have changed the schedule slightly. In addition, we will post Powerpoint slides the day before lecture. You are encouraged to print them and bring them to class with you, though none of the instructors in Fall 2017 will be using slides. The lecture is intended as supplemental to the textbook/class notes, not a replacement; make sure to use all available resources to maximize your learning experience.
In addition to the textbook and lecture notes, we strongly recommend that each student have access to a quality book on the C++ programming language, such as the textbook used for CSCI 103.
Readings from the book, lecture notes and other sources form the base of your learning pyramid. These readings contain theoretical concepts, examples and usable code that will be very helpful for all the work in this course.
It is strongly recommended that students read the relevant chapters of the textbook before coming to class. Class will proceed at a brisk pace and often be more focused on providing extra intuition and discussions rather than rehashing the book content in great detail.
Statement on Academic Conduct and Support Systems
Below is USC's official language. For more detailed information, see also the Assignments & Grading page.
Plagiarism - presenting someone else's ideas as your own, either verbatim or recast in your own words - is a serious academic offense with serious consequences. Please familiarize yourself with the discussion of plagiarism in SCampus in Part B, Section 11, Behavior Violating University Standards https://policy.usc.edu/scampus-part-b/. Other forms of academic dishonesty are equally unacceptable. See additional information in SCampus and university policies on scientific misconduct, http://policy.usc.edu/scientific-misconduct/.
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