Curriculum

Provides an introduction to computer operating systems and maintenance concepts. Students will study the Microsoft Windows family of operating systems and will receive a brief introduction to Linux. This course will assist students in their preparation for the CompTIA A+ Essentials Exam. 45 hours of lecture are required.

Introduces students to the underlying principles of information and database structure in electronic database management systems. Students will be introduced to types of information, table structure, features of a relational database, basic concepts of database design and normalization, and basic overviews of the roles of database administrators and professionals. Students will also be introduced to introductory SQL commands using a command line and existing databases. Expands on the concepts learned in the introductory course in database creation by introducing students to higher levels of database development and computer science concepts. Students learn SQL in order to study the manipulation of a relational database. This course also includes a survey of database platforms.

Prerequisite(s):
CIS 1110 or CS 1010 or CS 1110 or

Presents traditional methodologies of system analysis, design, and implementation along with recent developments in the field providing a total approach to information systems development. This course focuses on how to develop information systems in an engineered, disciplined manner utilizing real-world situations and applications.

Provides coverage of computer hardware in relation to the system: mechanical implementation, electrical implementation, and optical implementation; system capabilities regarding processor function, storage functions, and communications functions; and computer system design factors. Data representation is covered in depth, including integer data, floating point notation, character data as well as data structures. Processor technology and architecture will be covered, as will system integration and performance through logical and physical I/O, device controllers, I/O processing, data and network communication technologies, networks and distributed systems, network architecture, and OSI network layers.

Prerequisite(s):
CS 2010, CS 2310, MTH 1110

Builds upon the theoretical concepts of the Development Cycle learned in the Systems Development Methods. The technical knowledge gained from programming, word processing, spreadsheet, and database applications will also be put to use for the tasks of this course. Students will use the appropriate systems development methodologies, in a team approach, and follow the life cycle methodology and/or the information center techniques learned previously to achieve a demonstrable working solution to a particular Systems Development problem.

Prerequisite(s):
CIS 2510

Provides students an overview of the computer science profession. The course will focus on topics such as history, careers, programming languages, operating systems, databases, and relationship of mathematical concepts.

Introduces students to programming concepts such as logic and flow charting as well as some basic programming techniques.

Corequisite(s):
MTH 1110

Examines the elements of global communication, networking, cloud computing, Internet programming, and programming for mobile devices. Students will experience working as a team to integrate technology used for networking on the Internet to support various users.

Prerequisite(s):
CS 1010, CS 1110

Introduces program design and development in the C++ language. Uses Microsoft Visual C++ to provide students with experience using visual development tools. Students will demonstrate the ability to use C++ to design solutions to problems, modify existing C++ programs, and develop complex object-oriented applications.

Prerequisite(s):
CS 1110 and MTH 1110 or ENG 2710

Introduces students to using the JAVA programming language for developing applications. This is the first of two JAVA programming courses. The use of JAVA in Web-based client and server programming is also covered.

Prerequisite(s):
CS 1110

Continues the use of the Java programming language for developing applications.

Prerequisite(s):
CS 2410

Introduces students to program design and development using C#. Students will recognize and interpret basic concepts, types, variables, conversions, expressions, statements, namespaces, structs, arrays, interfaces and attributes of C# programming language.

Prerequisite(s):
CS 2150

Introduces concepts and techniques for the implementation of data structures and the design and analysis of computer algorithms. Topics include abstract data types and algorithm development using C++.

Prerequisite(s):
CS 2150

Expands on the concepts begun in Data Structures and Algorithms I, including stacks, queues, trees, and binary trees as fundamental conceptual structures of data. Various physical implementations for each conceptual view are examined with emphasis on the concept of abstract data types. Algorithm development continues with coverage of methods solving recurrences, divide-and-conquer algorithms, dynamic programming, greedy algorithms, and graph algorithms.

Prerequisite(s):
CS 3210

Introduces data analytics as the science of analyzing the data, generating insights, and making predictions. It easily finds applications in social media analysis, computational biology, climate modeling, health care, traffic monitoring and so on. This class aims to provide an overview of advanced machine learning, data mining and statistic techniques that arise in real data analytic applications. Selected topics include topic modeling, structure learning, time-series analysis, learning with less supervision, and massive-scale data analytics. One or more applications associated with each technique will also be discussed.

Prerequisite(s):
CS 3210

Emphasizes skills, tools, and methods related to unit testing and interface integration. Moving from unit testing to system testing is an important component of the course. Fault tolerances, validation testing, testing differences based on industry needs, safety/security, issues, and global collaboration issues will be examined.

Prerequisite(s):
CIS 2510, CS 3210

Corequisite(s):
CS 3220

Examines today s computer technology and investigates future technology trends in the industry. Focus will be on various subjects such as: new technologies, new research, the importance of lifelong learning to stay current, industry frameworks, human/computer interaction, user interfacing by generations, global awareness, mobile device advancements, mobile device programming, security, and other topical issues. This course contains a lab component.

Provides an introduction to Linux/Unix, its history, characteristics, and system basics from a user's perspective. The following concepts are introduced: basic file structures; navigational tools; file manipulation tools; file permissions and access; 'vi' editor basics; remote terminal emulation; mail; shell fundamentals; quoting and special characters; filename generation; input/output redirection; pipelines; multitasking and input arguments. Students will demonstrate the ability to use Linux/Unix commands at the command-line level. 45 hours of lecture are required.

Explores legal and ethical issues faced in the information technology field. Students will learn about ethical issues within an organization as they relate to relationships internally as well as with customers, partners, and society. In addition, students will learn of current legal issues in information technology such as intellectual property, privacy rules, and legislative actions. Exploration of the impact of these issues on current and proposed technical strategies will help prepare students to provide influence with regard to legal and ethical issues they will face in today's organizations.

Prerequisite(s):
ITS 2110 or CS 3310

Analyzes trigonometric functions, their properties, solution of right and oblique triangles, radian measure, graphs, trigonometric equations, and applications. Vectors and polar coordinates will be examined.

Prerequisite(s):
MTH 1120

Examines sets, functions, relations, graphs, trees, logic, mathematical induction and other proof techniques, counting techniques, Boolean Algebras and analysis of algorithms. Students experience mathematics in a larger context by studying both theoretical foundations and applications of the topics of the course.

Prerequisite(s):
MTH 1120 or MTH 1310

Examines the topics of functions, limits, continuity, the process of taking derivatives, and the application of derivatives such as related rates, curve sketching, and optimization problems. Antiderivatives, and the process of integration are introduced.

Prerequisite(s):
MTH 1210 OR MTH 1310

Introduces students to the field of computing. Focuses on the basic issues related to data communications and networking technologies. Topics include the OSI model, network topologies, protocols, and the fundamentals of internetworking. TCP/IP addressing is also covered. 45 hours of lecture are required.

Corequisite(s):
CIS 1110

Provides a 150-hour minimum learning experience over a minimum of 10 week in an appropriate work environment structured to allow students to develop skills and gain training in their major field. A minimum grade of 73% is required on the supervisor evaluation and assignments to pass the course.

Provides a 150-hour minimum learning experience over a minimum of 10 week in an appropriate work environment structured to allow students to develop skills and gain training in their major field. A minimum grade of 73% is required on the supervisor evaluation and assignments to pass the course.

Continues the study of processor function and system design. Students will evaluate the performance of a given microprocessor using common benchmarks, analyze instruction sets in HLL, RISC, and CISC architectures, and expand their understanding of binary operations and related impact on ALU design. Students will research and compare performance and design factors in parallel, pipelined, and multiprocessor designs; analyze branch prediction impact on program design; and evaluate the effectiveness of hierarchical memory designs. Throughout this course students will engage in periodic research on various topics and will also complete an independent, comprehensive, in-depth analysis of an instructor-approved topic in high performance computer architecture.

Prerequisite(s):
CIS 3010, MTH 1410

Provides students with opportunities and the experience of developing applications for various mobile devices (i.e. phones, tablets, other multi-media mobile devices).

Prerequisite(s):
CS 2310 or CS 2420 or CS 3110

Introduces students to the usage of IBM Cognos Analytics. Students will use IBM Cognos Analytics to extract data, analyze data, and produce reports that can be used to make informed decisions. This course provides a powerful toolset for mining, analyzing, score-carding and monitoring of events, data and metrics.

Prerequisite(s):
CIS 1110

Explores program design and development using Python. Students will demonstrate the ability to use Python to design solutions to problems and develop object-oriented applications

Prerequisite(s):
CS 1110 or EGR 2710

Examines emerging programming languages, their design, description, implementation and advanced features; facilities for creating secure distributed applications including API design and common patterns, facilities supporting software services, naming and composition; language paradigms and the resulting implications on execution; run-time systems and storage management; approaches to compilation and execution.

Prerequisite(s):
CS 3210

Examines how artificial intelligence on computers can be made to behave intelligently. This course will cover theoretical and practical approaches to AI, with topics to include search, logic, knowledge representation, uncertainty, and different aspects of the performance of AI techniques. No previous exposure to AI is assumed.

Prerequisite(s):
CS 3110, CS 3850

Emphasizes academic writing by reading and thinking critically to strengthen essential communication skills through the use of the writing process. Various assignments focus on summary and response, analysis, and informative writing. Research practices and research writing in APA style are essential to the course.

Continues developing students' critical thinking and writing skills through reading and argumentative writing. Emphasizes academic writing to articulate the relationships among language, knowledge, and power. Various assignments focus on position, argument analysis, and argumentative proposal. Research practices and research writing in APA style are essential to the course.

Prerequisite(s):
ENG 1010

Introduces elements of algebra including graphing, variable expressions, linear equations, polynomial operations and factoring, systems of equations, quadratic equations, rational equations, and functions.

Examines more advanced elements of algebra emphasizing the use of algebra and functions in problem solving and modeling. Key topics include functions, inverse functions, complex numbers, rational functions, logarithms, exponential functions, conic sections, sequences and series. Graphing is by recognition and transformation rather than by plotting points. MTH 1120 ? College Algebra II satisfies the MTA College Algebra Pathway.

Prerequisite(s):
MTH 1110

Examines the social construction of groups based on race, ethnicity and national origin, religion, gender, age, sexual orientation, and able-bodiedness. Sociological (as well as psychological, historical, economic, and anthropological) perspectives are applied to concepts such as prejudice, stereotyping, discrimination, racial and ethnic identity, racial formation, power and privilege, assimilation and pluralism, and tolerance. Emphasis is on increasing knowledge, personal awareness, and sensitivity.

Develops confidence and skill in many facets of oral communication. Students explore diverse topics and formats, using organization, research, and technology to deliver effective oral presentation.

Provides a psychological foundation for understanding human relations with applications to both personal and professional settings. Focus is on examining the basic dynamics of human relations, how social influences shape thought and behavior, effective strategies to improve human relations, and the importance of multicultural competency within human relations.

Provides a foundation of knowledge in psychology examining key topics related to understanding human thoughts and behavior. Topics include an exploration of factors that influence thoughts and behavior, psychology as a science, sensation/perception, motivation, emotion, memory, cognition, personality, as well as key figures, research, and theories within psychology. Applying concepts to real-life settings is a focus throughout the course.