John Rahme

Application of advanced object-oriented principles to practical software development. Topics include inheritance, polymorphism, abstract data types, exception handling, threads, and networking. Emphasis is placed on developing robust, reusable software through component libraries, code reuse strategies, and industry-relevant development practices.

Application of advanced object-oriented principles to practical software development. Topics include inheritance, polymorphism, abstract data types, exception handling, threads, and networking. Emphasis is placed on developing robust, reusable software through component libraries, code reuse strategies, and industry-relevant development practices.

Application of advanced object-oriented principles to practical software development. Topics include inheritance, polymorphism, abstract data types, exception handling, threads, and networking. Emphasis is placed on developing robust, reusable software through component libraries, code reuse strategies, and industry-relevant development practices.

Comprehensive coverage of all major groups of algorithms, including divide-and-conquer, dynamic programming, greedy, backtracking, branch-and-bound, and parallel algorithms. Discussion of the design and implementation of complex, dynamic data structures. The course also covers an introduction to the functional paradigm.

Comprehensive coverage of all major groups of algorithms, including divide-and-conquer, dynamic programming, greedy, backtracking, branch-and-bound, and parallel algorithms. Discussion of the design and implementation of complex, dynamic data structures. The course also covers an introduction to the functional paradigm.

Comprehensive coverage of all major groups of algorithms, including divide-and-conquer, dynamic programming, greedy, backtracking, branch-and-bound, and parallel algorithms. Discussion of the design and implementation of complex, dynamic data structures. The course also covers an introduction to the functional paradigm.

Models of sequential, parallel, and distributed computations. The Chomsky hierarchy of formal languages and their accepting machines are studied in detail. The relationship of these languages and machines to computer programs is presented. Influence of a Turing machine and related formalisms on modern computing are studied. Decidability of decision problems is explained. Several models of parallel and distributed computations are introduced and compared.

Specialized topics of interest and relevance to computer and information science. Course content may change from semester to semester according to instructor's preferences.

Offered as needed to present advanced material to graduate students.