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Detailed Course Information


Aug 21, 2017
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CSC 245 - Objects & Data Abstraction
This course presents further techniques of object oriented programming and problem solving, with emphasis on abstraction and data structures. Topics include: object oriented concepts, such as, composition, inheritance, polymorphism, information hiding, and interfaces; basic program design and correctness, such as, abstract data types, preconditions and post conditions, assertions and loop invariants, testing, basic exception handling, and the application of algorithm design techniques. The course also covers: basic algorithmic analysis, time and space tradeoffs in algorithms, big-O notation; fundamental data structures and applications, such as, collections, single- and double-linked structures, stacks, queues, and trees; performance issues for data structures; recursion, more sorting algorithms.

Course Learning Outcomes:
1) Students will be able to understand and apply the basic principles of object-oriented programming including encapsulation, inheritance, polymorphism, and object re-use.
2) Students will be able to understand and use the following data structures: linked lists, stacks, queues and trees.
3) Students will be able to design recursive solutions for problems.
4) Students will be able to develop an intuitive understanding of algorithms complexity.

3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture, Tutorial

Computer Science & Mathematics Division
Computer Science Department

May not be enrolled in one of the following Programs:     
      Freshman Science
      Freshman Arts
May not be enrolled in one of the following Degrees:     
      Executive MBA

Undergraduate level CSC 243 Minimum Grade of D or Undergraduate level CSC 215 Minimum Grade of D

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