CSC1120: Data Structures and Graphical Interfaces
This course covers graphical user interfaces and event-driven programming
as well as the organization of data and the algorithms that act upon
them. Various sorting algorithms and data structures are covered.
The topics of arrays, linked lists, stacks, queues, trees, sets, and
hash tables are introduced. Fundamentals of algorithm performance are also
introduced, with an emphasis placed on time complexity analysis.
Laboratory activities include implementation of data structures as well as
development of GUI applications that apply data structures from standard
libraries.
(prereq: CSC1110 or CSC1110A) (3-2-4)
Outcomes
On successful completion of this course, the student will be able to:
- Understand and apply complex data structures and algorithms.
- Use appropriate algorithms (and associated data structures) to solve problems.
- Have a thorough understanding of commonly used library data structures.
- Be able to analyze the time complexity of algorithms.
- Understand the use of recursion in problem solving.
- Interpret and implement multiple sorting algorithms.
- Be able to use data structures in software design and implementation.
- Be able to apply standard library data structures in software design.
- Be able to select appropriate data structures for a given application.
- Write unit tests to verify software behavior.
- Use Git to mangage versioning of source code.
- Understand the event-driven programming model.
- Be able to design and implement applications with graphical user interfaces.
Textbooks
- Data Structures Abstraction and Design Using Java 3rd Ed., by Koffman and Wolfgang, Wiley, 2016. ISBN: 978-1-119-23914-7
- Optional: Introduction to Programming with Java: A Problem Solving Approach, 3rd Ed., by Dean and Dean, McGraw-Hill, 2021. You likely have this book from CSC1110, but, if not, there are two purchasing options:
- VitalSource Inclusive Access eBook with Online Access, ISBN: 978-1-26-095839-3
- If you'd like a hard copy, you can also add Loose Leaf Inclusive Access, ISBN: 978-1-26-426033-1
Homework
Most weeks you will have a LearnCS.online module to complete for homework. These are design to reinforce the concepts and include prose, sample code, short videos, and exercises for you to complete. These are designed to take between half an hour and three hours to complete.
Grading
Labs | 20% |
Homework | 10% |
Daily Reflection | 5% |
Reading Quizzes | 5% |
Exam I | 20% |
Exam II | 20% |
Final Exam | 20% |
Total | 100% |
Policies
Please read my general course policies