This course provides an introduction to criminal justice. One of the primary goals of this course is to provide a general understanding of how the criminal justice system responds to crime in society. The main component parts of the criminal justice system (i.e., police, courts, and corrections) will be examined with a particular emphasis on developing an understanding of the behavior and interactions among the main actors in the criminal justice system. To accomplish this goal, we will examine how criminal cases are processed in the criminal justice system. We will also consider how external forces, such as political decisions, public opinion, and the media influence criminal justice decision-making. Students will also formulate, argue, and evaluate ethical perspectives regarding criminal justice systems, individual-level decisions, and recognize relationships with other ethical problems in society. Finally, throughout the course we will emphasize how the societal response to crime has evolved over time.

Develops understanding of theories, management processes, organizational capabilities and social implications of criminal justice technologies. Many categories of technology are considered, ranging from communications and records management, to special assault and protection tactics. Students consider the role of industry, government, and user groups in the historical development and legal/ethical use of specific technologies.

This course provides definitional, theoretical, and operational context for understanding computer-based competition, conflict and crime in the information age. Students study the history, nature and extent of computer-related crime, as well as differing types of computer criminals, their motivations and the methods they use to threaten, attack, compromise or damage physical, and cyber assets. The course considers legal and regulatory environments and the impact these have on policies and practices related to ethics in the management of information security, data encryption, privacy, and numerous other special topics.

Focuses on contemporary issues and topics not otherwise distinctly incorporated in established criminal justice courses. Concentrates on student discussion and interaction surrounding required readings on topics such as crime prevention and issues in the prosecution/court system. Recent examples include cyberlaw, prisoner re-entry restorative justice, wrongful convictions, crime mapping, crime analysis, non-traditional courts, legal controversies in the law, substance abuse, and legal research.

Artificial intelligence (AI) presents many complex issues for society, as technological developments have greatly outpaced public policy. Moreover, the open and commercialized nature of AI tools provides criminals and other adversarial actors with new advantages yet to be effectively countered. This class looks at the legal and policy frameworks and practices needed to build an ecosystem of privacy, security, and trust that will help ensure stakeholders that AI is being developed and deployed in an ethical, safe, and reliable manner. The class will also discuss how organizations are designing their own practices for operationalizing trustworthy or ethical AI in various sectors including law enforcement and criminal justice, commercial sectors, medical and biological research, among others. Students will be given a foundation in the emerging laws, regulations, and policies regarding AI, as well as insight on the broader process of how laws and policies need to adapt for other rapidly emerging technologies. We will explore in detail several approaches currently being considered, including regulatory approaches, standards, and considerations for national and international security. The course also will explore certain other legal issues arising in connection with AI, such antitrust and competition law, intellectual property and proprietary rights matters, and concerns for future technologies (quantum computing, AI and synthetic biology, etc.).

Artificial intelligence (AI) presents many complex issues for society, as technological developments have greatly outpaced public policy. Moreover, the open and commercialized nature of AI tools provides criminals and other adversarial actors with new advantages yet to be effectively countered. This class looks at the legal and policy frameworks and practices needed to build an ecosystem of privacy, security, and trust that will help ensure stakeholders that AI is being developed and deployed in an ethical, safe, and reliable manner. The class will also discuss how organizations are designing their own practices for operationalizing trustworthy or ethical AI in various sectors including law enforcement and criminal justice, commercial sectors, medical and biological research, among others. Students will be given a foundation in the emerging laws, regulations, and policies regarding AI, as well as insight on the broader process of how laws and policies need to adapt for other rapidly emerging technologies. We will explore in detail several approaches currently being considered, including regulatory approaches, standards, and considerations for national and international security. The course also will explore certain other legal issues arising in connection with AI, such antitrust and competition law, intellectual property and proprietary rights matters, and concerns for future technologies (quantum computing, AI and synthetic biology, etc.).

Special topics seminars offer an in-depth examination of current events, issues and problems unique to finance. Specific topics will vary depending upon student and faculty interests and on recent events in the business world. Seminar topics for a specific semester will be announced prior to the course offering. These seminars may be repeated for credit since topics will normally vary from semester to semester. (Instructor determined)

Special topics seminars offer an in-depth examination of current events, issues and problems unique to finance. Specific topics will vary depending upon student and faculty interests and on recent events in the business world. Seminar topics for a specific semester will be announced prior to the course offering. These seminars may be repeated for credit since topics will normally vary from semester to semester. (instructor-determined)

Artificial intelligence (AI) presents many complex issues for society, as technological developments have greatly outpaced public policy. Moreover, the open and commercialized nature of AI tools provides criminals and other adversarial actors with new advantages yet to be effectively countered. This class looks at the legal and policy frameworks and practices needed to build an ecosystem of privacy, security, and trust that will help ensure stakeholders that AI is being developed and deployed in an ethical, safe, and reliable manner. The class will also discuss how organizations are designing their own practices for operationalizing trustworthy or ethical AI in various sectors including law enforcement and criminal justice, commercial sectors, medical and biological research, among others. Students will be given a foundation in the emerging laws, regulations, and policies regarding AI, as well as insight on the broader process of how laws and policies need to adapt for other rapidly emerging technologies. We will explore in detail several approaches currently being considered, including regulatory approaches, standards, and considerations for national and international security. The course also will explore certain other legal issues arising in connection with AI, such antitrust and competition law, intellectual property and proprietary rights matters, and concerns for future technologies (quantum computing, AI and synthetic biology, etc.).

Artificial intelligence (AI) presents many complex issues for society, as technological developments have greatly outpaced public policy. Moreover, the open and commercialized nature of AI tools provides criminals and other adversarial actors with new advantages yet to be effectively countered. This class looks at the legal and policy frameworks and practices needed to build an ecosystem of privacy, security, and trust that will help ensure stakeholders that AI is being developed and deployed in an ethical, safe, and reliable manner. The class will also discuss how organizations are designing their own practices for operationalizing trustworthy or ethical AI in various sectors including law enforcement and criminal justice, commercial sectors, medical and biological research, among others. Students will be given a foundation in the emerging laws, regulations, and policies regarding AI, as well as insight on the broader process of how laws and policies need to adapt for other rapidly emerging technologies. We will explore in detail several approaches currently being considered, including regulatory approaches, standards, and considerations for national and international security. The course also will explore certain other legal issues arising in connection with AI, such antitrust and competition law, intellectual property and proprietary rights matters, and concerns for future technologies (quantum computing, AI and synthetic biology, etc.).

This course will cover the major theoretical and applied analytical methods and techniques in both quantitative and qualitative analysis. An emphasis will be placed on integrating empirical and normative concerns.