Course Syllabi

This course introduces fundamental principles, techniques and applications of Artificial Intelligence (AI). Students will explore theoretical foundations of AI and gain practical experience working with different AI systems. They will develop skills necessary to create AI applications for solving problems and improving real-world processes, such as intelligent agent design.

Course introduces ethical and legal aspects relevant to the Artificial Intelligence (AI) industry. Students will examine the implications of policies surrounding AI technologies and become aware of the ethics, moral principles and accountability standards in the development of AI tools and their uses.

Course introduces machine learning models to classify information, perform data analysis and create data predictions. The machine learning models are created using a machine learning platform with an interactive user interface and no code. Students will learn modeling methodology to understand and prepare data, create machine learning models, evaluate results, and deploy models.

This course gives an overview of modern data-driven techniques for natural language processing. The course moves from shallow bag-of-words models to richer structural representations of how words interact to create meaning, including language models. At each level, we will discuss the salient linguistic phenomena and most successful computational models. Along the way we will cover machine learning techniques which are especially relevant to natural language processing.

Course offers a comprehensive exploration of how computers interpret and analyze visual information. Students will start by examining the fundamentals of image recognition and representation, focusing on how images are transformed into matrices for computational processing. Additional topics include various computer vision models and their applications, emphasizing the development of sustainable solutions through practical implementation. Throughout the course, students will gain hands-on experience solving common computer vision problems using a variety of computer vision algorithms. Additionally, students will evaluate and utilize pre-trained models from open source machine learning platforms gaining insights into advanced tools for enhancing their computer vision projects.

Course explores the integration of Artificial Intelligence (AI) in modern business environment, focusing on practical applications and strategic benefits. Students will learn how to use AI tools and techniques to drive innovation, enhance decision-making and optimize operations. They will practice applying AI to various business functions, such as marketing, finance, operations and customer service, preparing them for careers as AI practitioners, consultants or business analysts.

Study of fundamental data structures and algorithms with emphasis on efficiency, implementation, and application. Topics include arrays, linked lists, stacks, queues, hash tables, trees, graphs, recursion, sorting, and searching.

An examination of the organization and jurisdiction of local, state, and federal law enforcement, judicial, and correctional systems; their history and philosophy; career opportunities and qualifying requirements, terminology, and constitutional limitations of the systems.

Covers the philosophy of legal sanctions and the historical development of law from the common law to modern American Criminal Law, classifications of crimes, elements of and parties to crimes, general definitions of crimes, common defenses utilized, and includes specific offenses and the essential elements of each offense.

This course explores ethical issues and the criminal justice system while focusing on ethics, law, police, the courts, and ethical theory as it relates to administration of justice.

A comprehensive exploration of cybercrime in our society and the criminal justice system’s response. Investigating the dark side of our digital lives, that features contemporary examples of cybercrime activity for student examination and debate.  There are active learning exercises with a strong focus on offending and victimization behaviors. Key concepts, statistics, and legislative histories will ensure students are well-informed and prepared for cybercrime. 

An in-depth examination of the history and psychology of terrorism and the tactics and technology used by terroist groups. Examines the nature of the terrorist threat and countermeasures to combat terrorism.

Examines the minds, motives and methods of serial killers. This course is a criminology course as it studies the reasons and causations of such horrific crimes and develops theories on profiling , investigaton, and understanding the criminals who commit such overwhelming crimes of lust murders over and over again.

The study of victims, also called Victimology, explores various types of crimes, reasons why individuals are victimized, and the level of involvement from the criminal justice system in victims? issues.

Methods of addressing current issues in criminal justice system.

Explore the assumptions behind crime pattern theory, crime opportunity structures, and routine activities approach.

Introduction to the practical aspects of gathering, organizing, and preparing written reports. This covers the techniques of communicating facts, information, and ideas effectively in a simple, clear and logical manner for various types of criminal justice system reports, letters, memoranda, directives, and administrative reports. Students will gain practical experience in note taking, report writing and presenting testimony in court or other types of hearings.

Examines the structure, function, and organization of American criminal courts as well as specialized courts within the criminal justice system. Judicial procedures and the roles of legal actors including judges, prosecutors, defense attorneys, and court employees are studied. The rights of defendants and victims, the role of plea bargaining, the operation of juries, trials, and sentencing, and contemporary controversial legal issues are examined.

Examines history and development of juvenile justice theories, procedures, and institutions.

Gangs have been part of the American criminal landscape since the formation of this nation. This course will look at the organizations’ origins and their response to social needs, such as protection, services, cultural identity, and economic gain. The course also focuses on analyzing the group dynamics through their members and their activities. For those looking to work in any of the criminal justice field, understanding the types of organized crime groups can assist in investigatory, prosecutorial, and rehabilitation purposes.