Computer Science

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.

Prerequisites :

MA 090 or placement test

• Credit : 3

Short Title : Comp.Prog.I

Course Code : CS 195

Course Description :

Intensive introduction to computer science, problem solving decomposition, and algorithm development. Writing, debugging, and analyzing computer programs using high-level programming language. Topics include decision structures, loops, files, methods, classes, arrays and lists.

Prerequisites :

CS115, CS115X, MA130, MA117, MA112

• Credit : 3

Short Title : Comp.Prog.II

Course Code : CS 196

Course Description :

Continues the development of a disciplined approach to problem solving and algorithm development using advanced topics of high-level programming language. Topics include details on classes and object, inheritance, exceptions, GUI applications, and recursion. Sorting and searching algorithms are introduced.

Prerequisites :

CS195

• Credit : 3

Short Title : Data Struct.&Al

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.

Prerequisites :

CS195

• Credit : 3

Short Title : Comp Org & Arch

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.

Prerequisites :

CS195

• Credit : 3

Short Title : Des & Analy Alg

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.

Prerequisites :

CS195, CS216

• Credit : 3

Course Code : CS 316

Short Title : Netwrk/Comm

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.

Prerequisites :

CS225

• Credit : 3

Course Code : CS 3xx

Short Title : Artificial Intl

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.

Prerequisites :

CS196

• Credit : 3

Course Code : CS 4xx

Short Title : Web Pg Dsn&Prog

Course Code : CS 230

Course Description :

Focuses on evolving trends in global communication. Concentrates on developing web pages using formatted text, tables, image maps, graphics and frames in basic HTML, and Active Server Pages are introduced. Individual web design projects are developed. Previously named: Emerging Technologies ? Web Page Design, Spring 2019 and earlier.

Prerequisites :

CS115, CS115X

• Credit : 3

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.

Prerequisites :

CS225

• Credit : 3

Short Title : Data Manage.Sys

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.

Prerequisites :

CS219, CS195

• Credit : 3

Short Title : Internet & E S

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.

Prerequisites :

CS320

• Credit : 3

Short Title : Comp.Forensc I

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.

Prerequisites :

CS225

• Credit : 3

Short Title : Data Sci&Anlycs

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 ?R? (statistical package.)

Prerequisites :

MA207, PS208, BU305

• Credit : 3

Short Title : Comp.Forensc II

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.

Prerequisites :

CS334

• Credit : 3

Short Title : Data Sec&D.R

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.

Prerequisites :

CS260

• Credit : 3

Short Title : Adv Web Prog

Course Code : CS 355

Course Description :

The focus of this course will be on developing Web applications that deliver dynamic content to a Web site by providing for interactivity through server side programming. Students will develop multi-tier Web applications which connect to back-end databases. Previously named: Web Applications Using ASP.NET, Spring 2019 and earlier

Prerequisites :

CS195

• Credit : 3

Short Title : Dev Ap Mobile D

Course Code : CS 360

Course Description :

This course will provide instruction for developing and deploying applications for mobile devices that use the 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.

Prerequisites :

CS195, CS230

• Credit : 3

Course Code : CS 487

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 : 3