Course Code : CS 195

Course Description :

Introduction to computer science and computer programming, problem-solving decomposition, algorithm development. Focuses on writing, debugging, and analyzing computer programs using a high-level programming language, and on learning to write clean, readable, and efficient code. Topics include variables, types, lists, functions, conditional branching, loops, and imports.

Credit : 3

Prerequisites :

CS 115, CS 125, or CS Major AND MA 140 placement or higher

Course Code : CS 196

Course Description :

Course Description: Continues introduction to computer science and computer programming. Topics include classes and objects, inheritance, exceptions, GUI applications, file access, typed arrays, data serialization, storage and retrieval. Topics from data-structures and algorithms are introduced, including typed multi-dimensional arrays, recursion, and sorting and searching algorithms.

Credit : 3

Prerequisites :

CS 195 Computer Programming I

Course Code : CS 216

Course Description :

Explores static and dynamic storage allocation in the implementation of linked lists, stacks, queues, trees, and graphs. Introduces advanced sorting and searching algorithms, algorithm design techniques including divide-and conquer, dynamic programming, greedy algorithms, and graph algorithms.

Credit : 3

Prerequisites :

CS 196

Course Code : CS 302

Course Description :

This course presents the principles behind assessing the efficiency of algorithms, as well as a number of classic algorithms and their complexity analysis. In particular, different types of sorting and searching algorithms will be studied, as well as advanced algorithms such as dynamic programming, greedy algorithms, amortized analysis, and graph algorithms. Selected topics such as matrix operations, polynomials and the FFT, number-theoretic algorithms, NP-completeness and approximation algorithms may be studied, time permitting.

Credit : 3

Instruction methods : Lecture: 3 Hours

Prerequisites :

CS 216

Course Code : CS 322

Course Description :

Analyzes programming languages and language design, emphasizing underlying similarities, differences, and applications in all current computing languages. Students develop knowledge in linguistics, language constructs, architecture influences on compiler design, and compilation techniques. Topics include memory management, control structures and abstraction, and data structuring and abstraction techniques. The course investigates 3 main programming paradigms: object-oriented, functional and logic programming.

Prerequisites :

CS 196

Course Code : CS 450

Course Description :

This capstone course is designed to develop complex software systems from business and institutional requirements and processes. Students utilize the fundamental principles of system development with both traditional and object-oriented approaches using professional charting, graphing and modeling tools. The course presents different software process models, project management analysis, software requirements engineering processes, systems development and testing procedures and different organizational and managerial designs and methods for systems development organizations. In addition, students integrate database, network topologies and cloud system designs to solve business problems. Computer system life cycles and maintenance procedures will also be analyzed.

Instruction methods : Lecture: 4 Hours

Prerequisites :

CS 302 or CS 322

Course Code : CS 225

Course Description :

This course provides a theoretical introduction and a hands-on experiential learning of today's operating systems used in personal computers and servers. The course explores Windows, Unix and Linux and tools used by administrators and users in managing these systems. Included is instruction for configuring, implementing and managing network and internet resources and services.

Credit : 3

Prerequisites :

CS 195

Course Code : CS 260

Course Description :

This course introduces the student to the logical and physical development of contemporary databases, with particular emphasis on the relational database model. Topics include types of databases, major data models, database design procedures, and normal forms. Hands-on experience illustrates the creation, maintenance, and reporting of business databases using SQL.

Credit : 3

Prerequisites :

CS 195

Course Code : CS 320

Course Description :

This course analyzes the theory, design, implementation and maintenance of current business voice and data networks. Topics include networking hardware, topologies, protocols, complex voice and data networks and using the Internet to transact business. The course includes lectures, hands-on projects, case studies and financial analyses of business networks. A lab is provided where the student can install system hardware and software, and administer and support network operations.

Credit : 3

Prerequisites :

CS225

Course Code : CS 301

Course Description :

This course presents the design and organization principles of computers, starting with how computers implement basic arithmetic and logic instructions, and continuing with how to develop a simple instruction set, and the processor hardware to support it. The course also covers principles of a hierarchical memory consisting of cache, main memory, and secondary storage, as well as I/O organization, instruction-level parallelism, and new topics in multi-core, multiprocessor design.

Credit : 3

Instruction methods : Lecture: 3 Hours

Prerequisites :

CS 195

Course Code : CS 315

Course Description :

This course presents an overview of the systems development life cycle. Emphasis is placed on current systems analysis, computer aided software engineering tools, process and data flows, table relationships, I/O design, program specifications, and systems implementation.

Credit : 3

Course Code : MA 140

Course Description :

This course studies sets, graphs, Euler paths, trees, PERT diagrams, Venn diagrams, Dijkstra's algorithm, Prim's algorithm, binomial theorem, combinatorial problems, recurrence relations and methods of iteration. Practical business and science applications are examined and solved by using these structures.

Credit : 3

Prerequisites :

MA 113 or placement into one of the following:

• MA 130
• MA 140
• MA 131
• MA 220
• MA 221

Course Code : MA 311

Course Description :

An introduction to the theory of probability and statistics utilizing methods from calculus. Topics include the axioms and rules of probability, Bayes Theorem, discrete and continuous random variables, univariate probability distributions, expectation, variance, and generating functions.

Credit : 3

Prerequisites :

MA 220 or MA 140

Course Code : CS 230

Course Description :

This course focuses on modern theory and practice for developing websites using formatted text, tables, images, animation, embedded content, responsive formatting, and interactive scripting. Students will design, develop, and publish websites.

Credit : 3

Prerequisites :

CS195 Computer Programming I

Course Code : CS 231

Course Description :

The rise of digital technologies has changed culture and values in society. In turn, this has created significant areas of risk in the ethical use of technology. This course will focus on the ethical dilemmas that exist between humans, technology, and information. Students will examine the responsible use of technology by businesses and individuals and how it relates to their own responsibilities as digital citizens. The main objective for this course is to provide a modern ethical perspective on the infusion of technology into our everyday lives.

Credit : 3

Course Code : CS 238

Course Description :

This course will examine the evolution of data communications as a tool for commercial transactions. The history of networks and the Internet in transacting business will be reviewed. The marketing, financial and technical components of the e-commerce market will be examined so that students will be familiar with the motivations and operations of this rapidly growing worldwide marketplace. E-commerce will be analyzed as the primary facilitator in the globalization of the world economy. The technical aspects of planning, developing and implementing e-commerce web sites and electronic transfers of business transactions will be studied. The costs and benefits of typical E-commerce technical platforms using Windows and Linux (LAMP) webservers will be analyzed.

Credit : 3

Prerequisites :

CS 115, CS 125, or CS 195

Course Code : CS 240

Course Description :

This course provides an introduction to the development of software applications with a graphical user interface that can be deployed on a Windows or Web platform. Using Visual Basic and the .Net environment, students will learn to design, code, debug and test structured, eventdriven computer and web applications. Course concepts include objects, properties, methods, events, forms, menus, loops, control structure, arrays, functions, procedures and active server pages.

Credit : 3

Prerequisites :

CS 196

Course Code : CS 242

Course Description :

This course focuses on the theory and practice of human-centric UI/UX (User Interface/User Experience) design and evaluation. The course addresses major topics in UI/UX and Human-Computer Interaction, including prototyping; guidelines for designing effective, efficient, and enjoyable interfaces; common and next-generation UI components; human limitations/biases and how these affect computer interaction; and methodologies for usability testing. Students will design and develop UI prototypes and measure the usability of their designs.

Credit : 3

Prerequisites :

CS 115, CS 125, CS 195 or AR 220

Course Code : CS 285

Course Description :

The course will teach students about the use of computers and business data networks to solve management and corporate problems. The course examines the components and concepts of management information systems in managing information in business environments. The evolution and future direction of current corporate and institutional computing environments will be analyzed. The impact of emerging e-commerce marketplaces on corporate strategies and infrastructure will also be examined. The ways in which businesses develop or procure information technology resources and systems will be discussed. Case studies will be used to illustrate key concepts in systems development, implementation and management. In addition, students will learn how businesses manage and protect critical information and data.

Credit : 3

Instruction methods : Lecture: 3 Hours

Prerequisites :

CS219

Course Code : CS 310

Course Description :

An overview of the knowledge necessary to understand HIT (healthcare information technology) and develop skills in HIT management, including topics in hardware, software, and communication systems; operational, management, and clinical applications; and selection, implementation, and valuation. The importance of HIT strategic alignment is evaluated and emphasized in the rapidly-changing economic, political, regulatory, and technological arenas of today’s healthcare industry, with specific application to networks, security, health records, administrative and financial systems, project portfolio management, and strategic competitive advantage.

Credit : 3

Course Code : CS 327

Course Description :

This course explains the concepts and techniques related to application, network, and operating system security, and methods for testing security. Both Microsoft Windows and UNIX are covered, providing a broad range of information essential for the Web professional.

Credit : 3

Prerequisites :

CS320

Course Code : CS 334

Course Description :

The growth of the Internet and wide use of computers has increased the need for computer investigations. This course examines methods for conducting computer investigations in the investigators laboratory. Current forensic tools are examined and applied to the control of digital evidence on various operating systems.

Credit : 3

Prerequisites :

CS225

Course Code : CS 340

Course Description :

This course will instruct students how to use computer systems to analyze large datasets in order to gain useful insights, develop forecasts and make predictions. The course introduces several key aspects of data investigation: collection and organization, cleaning for efficiency and integrity, sampling, visual analysis, hypothesis generation, statistical testing and machine learning. Students will learn how to obtain information and transform it into a data set residing in a large database system for quick and reliable access and analysis. Students will also learn exploratory data analysis, visual and numerical, to gain understanding of the relationships, patterns and trends in the data. In addition, students will learn to use machine learning and analysis techniques for data sets that are too large for traditional statistical analysis. The emphasis of the course will be on applied techniques of data analysis for business or social science decision making. The course will utilize widely used, open source software such as Python, MySQL, or (statistical package.)

Credit : 3

Instruction methods : Lecture: 3 Hours

Prerequisites :

BU 301

Course Code : CS 344

Course Description :

This course discusses the acquisition and analysis of data as well as image recovery tools, data compression and the restoring of graphical objects. Included are network forensic tools and the examination of E-mail crimes and violations.

Credit : 3

Prerequisites :

CS334

Course Code : CS 348

Course Description :

This course examines real-world applications of database security and auditing models. These concepts are integrated with planning, organizing and implementing disaster recovery procedures as applied to business data systems.

Credit : 3

Prerequisites :

CS260

Course Code : CS 355

Course Description :

This course focuses on modern theory and practice for developing and deploying full-stack web applications. Students will learn front-end, server-side, and database technologies and integration. Students will develop dynamic responsive web-apps with database read/write capabilities.

Credit : 3

Prerequisites :

CS 230 Front-End Web Development

Course Code : CS 360

Course Description :

This course will provide instruction for developing and deploying applications for mobile devices that use Android or iOS, the two most popular platforms. The focus of the projects will be applications that support business or institutional requirements. Students will develop applications that are part of Web services and native applications that function on the devices alone.

Credit : 3

Instruction methods : Lecture: 3 Hours

Prerequisites :

CS 196

Course Code : CS 415

Course Description :

This course focuses on models and simulations of real-world phenomena, including human and market behaviors. Topics include model validation and evaluation, overfitting, Markov models, Monte Carlo, and MCMC simulations, Game Theory, cognitive models, and behavioral and social situations. Students develop and evaluate a variety of computational models and simulations to explain and predict human and systems behavior.

Credit : 3

Prerequisites :

CS 302

Course Code : CS 420

Course Description :

Introduces the concepts, approaches, and techniques of artificial intelligence, emphasizing both the underlying theory and its applications. Topics include intelligent agents, problem solving by searching, adversarial search, constraint satisfaction problems, logical agents, first-order logic, inference in first-order logic, quantifying uncertainty, probabilistic reasoning, and learning from examples.

Credit : 3

Prerequisites :

CS 302

Course Code : CS 487

Credit : 3

Course Code : CS 499

Course Description :

Offers qualified students the opportunity to pursue independent, in-depth research in selected areas under the guidance of a member of the faculty. Limited to junior and senior Computer Science and Computer Information Systems majors. School of Business and Computer Science Approval.

Credit : 2