What makes a language perfect? How perfect are natural languages compared to their artificial counterparts? This seminar looks at a selection of artificial languages (e.g. 17th and 18th century concept calculi, Esperanto, Klingon), but also at opinions voiced by scholars ranging from Dante to Chomsky stressing that even natural languages might be close to perfect. Prerequisite: LINGUIST 201.

Course taught in French. Practice with the four skills: reading, writing, understanding, and speaking. Readings of contemporary plays, short stories, journal articles. Frequent short written exercises. Review of grammar as questions arise. Suitable for students planning to continue beyond the 240 level. Prerequisite: FRENCHST 230 or equivalent. Note: Students in 246 need not take this course. This course completes the CHFA Language Requirement.

Advanced programming techniques in the Java language. Elementary techniques of software engineering: documentation, coding style, basic testing principles, and informal reasoning about correctness. The notion of an abstract data structure and various important data structures: stacks, queues, linked lists, tree-based structures, and hash tables. Use of object-oriented language constructs for encapsulation of data objects. Lecture, programming projects.

Advanced programming techniques in the Java language. Elementary techniques of software engineering: documentation, coding style, basic testing principles, and informal reasoning about correctness. The notion of an abstract data structure and various important data structures: stacks, queues, linked lists, tree-based structures, and hash tables. Use of object-oriented language constructs for encapsulation of data objects. Lecture, programming projects.

Advanced programming techniques in the Java language. Elementary techniques of software engineering: documentation, coding style, basic testing principles, and informal reasoning about correctness. The notion of an abstract data structure and various important data structures: stacks, queues, linked lists, tree-based structures, and hash tables. Use of object-oriented language constructs for encapsulation of data objects. Lecture, programming projects.

Advanced programming techniques in the Java language. Elementary techniques of software engineering: documentation, coding style, basic testing principles, and informal reasoning about correctness. The notion of an abstract data structure and various important data structures: stacks, queues, linked lists, tree-based structures, and hash tables. Use of object-oriented language constructs for encapsulation of data objects. Lecture, programming projects.

Advanced programming techniques in the Java language. Elementary techniques of software engineering: documentation, coding style, basic testing principles, and informal reasoning about correctness. The notion of an abstract data structure and various important data structures: stacks, queues, linked lists, tree-based structures, and hash tables. Use of object-oriented language constructs for encapsulation of data objects. Lecture, programming projects.

Advanced programming techniques in the Java language. Elementary techniques of software engineering: documentation, coding style, basic testing principles, and informal reasoning about correctness. The notion of an abstract data structure and various important data structures: stacks, queues, linked lists, tree-based structures, and hash tables. Use of object-oriented language constructs for encapsulation of data objects. Lecture, programming projects.

For students new to UMass and the College of Social & Behavioral Sciences, this course prepares students to set academic and personal goals, take full advantage of University offerings, build self-reliance through college-level study skills, and ready themselves for success.

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