A study, analysis, and discussion of the legal issues related to crimes involving computers and networks, including topical actions by dissidents and governments. We will also study the technologies of forensic investigation, intelligence gathering, privacy enhancement, and censorship resistance. Our main legal topics will include recent and important case law, statutes, and constitutional clauses concerning authorization, access, search and seizure, wiretaps, the right to privacy, and FISA.

Large-scale software systems like Google - deployed over a world-wide network of hundreds of thousands of computers - have become a part of our lives. These are systems success stories - they are reliable, available ("up" nearly all the time), handle an unbelievable amount of load from users around the world, yet provide virtually instantaneous results.

Practical experience in the management of software development projects. Managing people, coaching, mentoring, planning, scheduling, evaluation, negotiation, and expectation management are explored. The focus is on the power of communication.

This add on to CMPSCI 121 consists entirely of five additional more advanced programs that students write to extend the coding experience available in the base 121 class. The course is intended primarily for students in 121 who have some previous programming experience. Must be enrolled in CMPSCI 121 concurrently.

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.

Natural Language Processing (NLP) uses mathematics, data, and linguistics to teach computers how to understand human language. Assignments and programing projects to implement and improve NLP systems, such as machine translation and parsing.

Development of individual skills necessary for designing, implementing, testing and modifying larger programs: use of various modern automated tools, design strategies and patterns, working with large code bases and libraries, code refactoring.

This course is an introduction to personal health sensing and monitoring through mobile phones and on-body sensors and addresses several aspects including mobile devices and applications for health, sensor data quality and reliability challenges, interference of key feedback, and practical considerations such as battery lifetime.

Mathematical techniques useful in the study of computing and information processing. The mathematical method of definition and proof. Sets, functions, and relations. Combinatorics, probability and probabilistic reasoning. Graphs and trees as models of data and of computational processes. Prerequisite: R1 math skills recommended. Not intended for Computer Science majors - students interested in a majors-level treatment of this material should see CMPSCI 240 and 250, or MATH 455.

Advanced programming techniques in the Java language focusing on abstract data types. Specific topics include linked structures, recursive structures and algorithms, tree-based structures, and hash tables. Elementary techniques of software engineering, including documentation, coding style, basic testing principles, and informal reasoning about correctness. Weekly programming assignments, discussion section exercises, and multiple exams.