Applied Computer Science

An introduction to the theory and development aspects of a high-level programming language.  The course covers programming methodologies, control structures, predefined and user-defined functions, input/output streams, control structures, logical expressions, enumeration, repetition, multidimensional array and string manipulation, structures, searching, sorting techniques, and advanced input/output.  Program analysis, design, development, and testing are emphasized. 

A continuation of Programming I to include advanced programming techniques, including classes and data abstractions, inheritance and composition, pointers, virtual functions, overloading, exception handling, and recursion.  Students analyze, design, implement, and test complex programs. 

Provides students the opportunity to gain experience and training in an additional high-level language.  The course focuses on advanced topics, including objects, structures, applets, graphics, exception handling, files, and streaming.

A course in fundamental data structures concepts and alternative techniques for solving real-world problems in computer science.  Concepts and applications covered include analysis of data representation and associated algorithms, including linked lists, queues, stacks, arrays, graphs, trees, searching, sorting, string matching, and the application of recursive techniques.  The course will place an emphasis on the implementation of various algorithms and data structures. 

The fundamental concepts and structures necessary for the design and implementation of a database management system.  Students design, load, and query a database using tools such as E-R diagrams and SQL.  Also includes data normalization and file and index organization. 

Study of the analysis of computer-based information systems.  Emphasis is placed on analysis, specifications development, design, and development of information systems, including the software and databases that support the business needs of organizations.  Both data-oriented and process-oriented design methods are covered. Topics include the systems analyst, the systems development life cycle, methodologies, development technology, systems planning, project management, systems analysis, systems design, systems implementation, and systems support. 

Topics are presented that focus on the design and development techniques for large, high-quality software systems. They include project management issues, analysis and design methods, and approaches to testing. 

An overview of operating system functions and components.  Issues include process definition, scheduling, and memory management.  Various modern operating systems are compared. 

Analyzes computational resources for important problem types by alternative algorithms and their associated data structures, using mathematically rigorous techniques. Specific algorithms analyzed and improved.