Students continue to learn to develop applications with the Java language using the Object Oriented Paradigm. Focus is on problem solving, proper Object Oriented Programming techniques, and clear coding style. The three fundamentals of OOP are covered data abstraction and encapsulation, inheritance, and polymorphism with emphasis on the last two (inheritance and polymorphism). Data structures including Linked Lists, Queues, Stacks and Trees will be examined along with some common search and sort algorithms. Basic Java is explored including interfaces, exception handling, and user interfaces. Features of the latest Java Development Kit will also be examined. Several Java packages are examined including java.io, java.awt, swing, and others.
This course is 48 hours offered as a classroom (36 hours) AND online (12 hours) format. The class meets once per week for 3 hours face to face and requires an additional 1 hour per week online. No registration is permitted after the course has started without department approval.
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In Progress and Full
Below is one offering of this course for the Winter 2019 term.
IMPORTANT INFO: This course is 48 hours offered as a classroom (36 hours) AND online (12 hours) format. The class meets once per week for 3 hours face to face and requires an additional 1 hour per week online.
Upon successful completion of this course, the student will be able to:
Choose the appropriate data structure or container class for modeling a given problem.
Implement user-defined data structures in Java including linked lists and trees.
Apply the techniques of decomposition to break a program into smaller pieces.
Design, implement, and test programs using the three main principals of Object Oriented Programming: Encapsulation & information hiding; inheritance; polymorphism.
Describe the concept of recursion and give examples of its use.
Design, code, test, and debug Graphical User Interfaces with event-driven programs that respond to user events.
Build robust code using exception handling.
Discuss the computational efficiency of the principal algorithms for sorting, searching, and hashing.
Demonstrate an understanding of the execution environment.
Effective as of Winter 2007
COMP 2526 is offered as a part of the following programs:
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