This course develops the fundamental concepts of algebra with an emphasis on the classification and analysis of linear, quadratic, polynomial, exponential and logarithmic functions. Applications to the natural and social sciences are given throughout. It aims to provide insights into the nature and utility of mathematics, and helps students develop mathematical reasoning skills.

Full course description for College Algebra

This course is designed to prepare students for calculus. Topics include polynomial, rational, exponential, logarithmic, and trigonometric functions; the algebra of functions; multiple function representations; and an introduction to analytic geometry.

Full course description for Precalculus

An introduction to the formulation of problems and developing and implementing solutions for them using a computer. Students analyze user requirements, design algorithms to solve them and translate these designs to computer programs. The course also provides an overview of major areas within the computing field. Topics include algorithm design, performance metrics, programming languages and paradigms, programming structures, number representation, Boolean algebra, computer system organization, data communications and networks, operating systems, compilers and interpreters, cloud computing, data analytics, mobile computing, internet of things, and artificial intelligence) database, internet, security, privacy, ethics, and other societal and legal issues. Lab work and homework assignments involving flow charting tools and programming using a language such as Python form an integral part of the course.

Full course description for Computational Thinking with Programming

Structure, design, and implementation of object-oriented computer programs. Topics include objects, classes, GUI, and layout managers. Introduction to containment, inheritance, and polymorphism. Programming projects involving multiple classes. Emphasis on methods, parameter passing, and arrays of objects. Exploration of problem-solving and algorithm-design techniques using pseudocode, Unified Modeling Language (UML) class diagrams, and simple patterns. Design of good test cases and debugging techniques.

Full course description for Programming with Objects

This course focuses on how to design and implement information services over the Internet from the client side. The course focuses on both usability and client-side scripting. Topics include the principles, strategies and policies of web page design, including the rules of good interface design, human factors, ethical concerns and information security. Through labs and programming projects, students also learn how to use current scripting and markup languages and how to employ state-of-the-art tools to embed interactive pages into Web-based applications.

Full course description for Web Design and Implementation

This course covers a variety of important topics in math and computer science. Topics include: logic and proof, sets and functions, induction and recursion, elementary number theory, counting and probability, and basic theory of directed graphs.

Full course description for Discrete Mathematics

This course covers the basic principles and methods of statistics. It emphasizes techniques and applications in real-world problem solving and decision making. Topics include frequency distributions, measures of location and variation, probability, sampling, design of experiments, sampling distributions, interval estimation, hypothesis testing, correlation and regression.

Full course description for Statistics I

This course covers the fundamental concepts of a single user operating system. The topics discussed in the course are the basic concepts of computer organization and architecture, memory management, process handling, disk and file management and control, and peripherals operation. Students also have the opportunities to learn the techniques and procedures of system installation, configuration, administration, and trouble shooting. The operating systems illustrated in the course are MS Windows and/or Mac OS X.

Full course description for Computer and Operating Systems Fundamentals I

This course covers the fundamental concepts of a multi-user operating system. The topics discussed in the course are conventional computer organization and architecture, memory management, process handling, disk and file management and control, and peripherals operation. Students also have the opportunities to learn the techniques and procedures of system installation, configuration, administration, and trouble shooting. The operating systems illustrated in the course are Linux and Unix.

Full course description for Computer and Operating Systems Fundamentals II

Covers concepts and methods in the definition, creation and management of databases. Emphasis is placed on usage of appropriate methods and tools to design and implement databases to meet identified business needs. Topics include conceptual, logical and physical database design theories and techniques, such as use of Entity Relationship diagrams, query tools and SQL; responsibilities of data and database administrators; database integrity, security and privacy; and current and emerging trends. Use of database management systems such as MySQL. Coverage of HCI (Human Computer Interaction) topics. Development of GUI front ends to databases with application of HCI principles to provide a high level usability experience. Overlap: ICS 311T Database Management Systems.

Full course description for Database Management Systems

This course focuses on how to design and establish information services over the Internet from the server side. Topics include advanced concepts and issues on Internet architecture, server-side design strategies, current technologies and Internet security. Through labs and programming projects, students learn how to use current scripting and markup languages to build nontrivial state-of-the-art applications.

Full course description for Internet Application Development

This course is a study of scaling client/server applications enterprise-wide. The course examines why ordinary client/server tools do not scale enterprise wide, and examines the extensions necessary in DB linkage, OS extensions, and networking connections necessary for scaling. The MVC II (Model-View-Controller) design pattern and other useful design patterns will be used to explain typical architectural approaches.

Full course description for Client/Server Architectures

The course focuses on how to design and build process, object and event models that are translatable into project specifications and design. Topics include an overview of systems analysis and design; a framework for systems architecture; design and development using data modeling; object modeling, entities, relationships, attributes, scope rules and influences; and event models, messaging and application activation.

Full course description for Software Design Models

This course introduces principles of computer security with integrated hands-on labs. The course prepares students to effectively protect information assets by providing fundamental details about security threats, vulnerabilities, and their countermeasures ranging from a simple computer to enterprise computing. Topics include broad range of today's security challenges, common security threats and countermeasures, security management, access control mechanisms, applied cryptography, privacy issues, computer ethics, file system security, and network security.

Full course description for Computer Security

This course focuses on the theory and practice of effectively and efficiently building software systems that satisfy the requirements placed upon them by customers. This course gives an overview of the software lifecycle and introduces various process models used to develop software.

Full course description for Software Engineering and Capstone Project

In this course, students learn the fundamental principles and concepts in computer forensics. The topics include the classification of the digital evidence, the procedure of discovering and preserving evidence, types of computer and Internet crimes, and analysis of computer crime statistics and demographics. Students also learn how to search and retrieve information to find the evidence using some common tools. Related legal procedures, regulations, and laws are also discussed briefly.

Full course description for Introduction to Computer Forensics

In this course, students continue not only to learn how to identify and collect digital evidence through forensics search tools, but also to study the emerging data mining techniques. The topics include how to design a plan for a computer crime investigation; how to select a computer software tool to perform the investigation; how to articulate the laws applying to the appropriation of computers for forensics analysis; how to verify the integrity of the evidence being obtained; how to prepare the evidence collected for the use in the court; and how to present the evidence as an expert eyewitness in court. Some hypothetical and real cases are also discussed in class.

Full course description for Digital Evidence Analysis

This course takes a hands-on approach to provide students with foundational concepts and practical skills in Mobile Device Forensics, which can be leveraged to perform forensically sound investigations against crimes involving the most complex mobile devices currently available in the market. Using modern tools and techniques, students will learn how to conduct a structured investigation process to determine the nature of the crime and to produce results that are useful in criminal proceedings. The course will provide walkthrough on various phases of the mobile forensics process for both Android and iOS based devices including forensically extracting, collecting, and analyzing, data and producing and disseminating reports. The course modules and labs will involve certain specialized hardware and software to perform data acquisition (including deleted data), and the analysis of extracted information.

Full course description for Mobile Device Security and Forensics

Introduces machine language, digital logic and circuit design, data representation, conventional von Neumann architecture, instruction sets and formats, addressing, the fetch/execute cycle, memory architectures, I/O architectures, as well as hardware components, such as gates and integrated chips.

Full course description for Computer Organization and Architecture

This course provides basic introduction to data structures and algorithms and emphasizes the relationship between algorithms and programming. Students will learn intermediate object-oriented design, programming, testing and debugging. Topics include algorithm complexity, generic programming, linked list, stack, queue, recursion, trees, searching, and sorting.

Full course description for Introduction to Data Structures

Special topics courses of current interest are offered occasionally. Students may repeat ICS 490 under different topics for additional credit. Some topics may have prerequisites. See the current Class Schedule for additional information.

Full course description for Special Topics in Information and Computer Sciences

This series of workshops is intended to provide students with hands-on experience with current and emerging technologies and tools. Students will learn design principles and implementation practices on a variety of platforms. Specific topics will vary. ICS 492 can be taken more than once as a major elective with advisor approval.

Full course description for Seminar on Emerging Technologies