Conversations with members of the UMass CMPSCI community, to explore issues in and subareas of computer science. This course does not count toward requirements for the CMPSCI major or minor.

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.

An introductory course in problem solving, using the programming language Java. Focuses on the fundamental concepts of problem solving and on computer imple-mentation. Satisfactory completion is a prerequisite for all higher-level computer science courses. Use of computer required. Prerequisite: high school algebra and basic math skills (R1). (Gen.Ed. R2)

How computers can help solve problems efficiently and effectively. Broad introduction to hardware and software aspects of microcomputers. Four application areas: word processing, spreadsheets, databases, and telecommunications (access to the Internet). Students more interested in programming should take CMPSCI 121. Prerequisites: reasonable high school math skills. Typing ability an important asset. (Gen.Ed. R2)

The current best testing and analysis practices; emerging new approaches, going beyond the testing of programs to include the testing and analysis of all software artifacts across the lifecycle. Prerequisite: CMPSCI 320.

The current best testing and analysis practices; emerging new approaches, going beyond the testing of programs to include the testing and analysis of all software artifacts across the lifecycle.

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.

Natural Language Processing techniques developed in Artificial Intelligence with an emphasis on memory oriented models and corpus-driven research. Focus on semantically oriented sentence analysis, narrative text comprehension.

In this course we examine the important problems in Usability, Human Computer Interaction, User Interfaces, and Human Centered Computing. We will examine elements of HCI history, understanding human capabilities, HCI design, several methods for prototyping user interfaces, and new applications and paradigms in human computer interaction.