Computer Engineering Degree

This course provides an introduction to the fundamental concepts of inorganic chemistry, including atomic and molecular structure, bonding types, reactions, equation and stoichiometry (a mathematical approach to solving problems involving chemical phenomena).

This course explores the importance of effective interpersonal communication. This course covers: how interpersonal communication impacts an individual, how to recognize the different methods of communication and establishing and maintaining personal and professional relationships through effective communication.

This course addresses the dynamics of how our economy works (or does not work). The course explores the basic institutions, terminology, and theory of the main economic activities of production, distribution, and consumption, especially as they apply to the operation of our national economy. Topics include savings and investment, national output, expenditure and income, real versus potential GDP, aggregate demand and supply, and fiscal and monetary policy. Students explore the impact of the economy on different economic sectors that affect different career paths.

ENGL104 is the first course in a sequence of two composition classes designed to empower students to develop their voice, build confidence in writing, and develop both their writing and critical thinking skills. Students will have the opportunity to practice adapting their writing for different audiences, purposes, and platforms, and will be able to explore how the choices they make influence the meaning and success of their written communications. This course explores the use of the writing process to compose clear, organized writings that are appropriate for various audiences and purposes. This course introduces the importance of clear and persuasive writing in personal, professional, and academic contexts.

ENGL105 is the final course in the composition sequence and builds on the writing skills developed in ENGL104. In this course, students continue to practice writing for a variety of contexts, purposes, and audiences. Throughout the course, students incorporate research into their writing by using digital tools and resources to identify and cite credible sources following CTU APA guidelines.

This course focuses on the key people, social experiments, and technologies that continue to impact our lives. Particular attention is paid to the latter half of the 20th Century and the dawn of a new millennium in America – a time that, through the lens of history, both gives us pause and inspires hope for the future.

MATH 205 begins with the concept of limits, including one-sided and limits involving infinity, and relates limits to the concept of continuity.  The tangent line to a graph at a point leads to the definition of derivative and the rules of differentiation for both explicit and implicit functions, including polynomial, rational, trigonometric, logarithmic and exponential functions. Applications of the derivative include related rates, curve sketching, optimization problems and l’Hôpital’s Rule. Basic rules for integration are introduced, including the method of substitution.  The definite integral is then applied to finding the area under and between curves. A graphing calculator or equivalent technology is required.

The study of calculus is continued with the differentiation and integration of transcendental functions (exponential, logarithmic, inverse trigonometric, and hyperbolic).  Applications of the definite integral include finding volumes of solids of revolution by the disk and shell methods, and the length of plane curves and surfaces of revolution.  Integration techniques include integration by parts, partial fractions, trigonometric substitution, and use of tables and technology.  Additional topics covered include improper integrals, and Taylor polynomials. The course concludes with an introduction to multivariable functions, partial derivatives, and double and triple integrals. A graphing calculator or equivalent technology is required.

This course studies problems that involve finite or discrete data sets. Logic and set notation form a foundation for creating structure in data storage and information retrieval. Tools used include truth tables, methods of proof, Venn diagrams, graphs, trees, paths, and matrices. Additional topics include defining formal languages and recognizing syntactically correct sentences. Additional techniques include automata, digraphs, state transition tables and context free grammars.

This course is an introductory course in linear algebra that balances computation and theory. Topics include the solution of systems of linear equations using Gaussian and Gauss-Jordan elimination, matrices and determinants. Other topics covered are vector spaces, inner product spaces, linear transformations, eigenvalues, and eigenvectors. Also introduced is the Gram-Schmidt orthonormalization process, and Least Squares and Fourier approximations. The course is divided between lecture and hands on work in a computer lab using a symbolic math software package.

This course is designed to provide students a basic understanding of moral and ethical theories and concepts. The activities and discussions encourage students to explore and solve ethical dilemmas by identifying and applying moral and ethical theories. Students will also be encouraged to explain their reasoning from cultural, professional, and personal standpoints. A variety of ethical issues and methodologies will be explored, as students evaluate moral dilemmas in an assortment of work and life scenarios.

This is a calculus-based physics course designed for science and engineering students. Topics include linear and angular motion, forces, momentum, work, energy, periodic motion and properties of materials.

This is a calculus-based physics course designed for science and engineering students. Topics include wave motion, sound, heat, thermodynamics, light, optics, and an introduction to the special theory of relativity.

Psychology is fundamental to every field in academic study. This course is designed to teach students a basic understanding of human behavior as well as emotional and cognitive development. Coursework incorporates terminology, principles, and foundational theories that comprise modern concepts of introductory psychology. This course is designed to teach students using practical, real-world application of course concepts within their professional, personal, and relational lives.

This course introduces students to the study of sociology and how it applies to careers, community, and family. Sociology examines the nature of society including the theories and principles of multi-cultural and social interactions. This course addresses how the concepts of social organization, social institutions, and social changes influence everyday life.

UNIV104 is designed to provide students with a foundation for success in CTU’s undergraduate academic environment. This course introduces effective academic strategies and resources integrating them with career planning methods that can be leveraged to pursue future academic and professional goals.

This course discusses the fundamentals of computer organization and architecture including concepts and principles of cloud computing and quantum computing. The covered topics include evolution of computer organization and architecture, basic assembly-level machine organization, memory system organization and architecture, computer interfacing and communication, as well as multiprocessors and parallel processing. The course also introduces the concepts of performance and the architectural support for performance enhancements.

This course covers the fundamental problem solving approaches that lead to solutions suitable for implementation with a computer programming language. Solutions will be implemented using the essential elements of a modern programming language. Students will also be introduced to the techniques of designing and documenting a problem solution.

Students are introduced to the C++ programming language in this course. The course includes the basic concepts of both the structured programming and object-oriented programming models. Emphasis is on applying sound software engineering principles. Basic declarations and statements, control structures, data and program design, arrays, text strings, pointers, abstraction, classes and objects are covered. Students are required to complete several programs.

In this course, students explore end user interaction with the UNIX operating system. This course examines the basic features of the UNIX operating system, UNIX commands, the UNIX file system, the UNIX shells, and shell programming. It also draws comparisons between UNIX and Linux.

This course builds upon the fundamental topics covered in CS115. The focus is on the more powerful features of C++ including I/O formatting, file I/O, overloading, inheritance, polymorphism, templates and exceptions. A major emphasis is on object-oriented program design, construction and test. Students are required to complete numerous programs using these advanced features.

In this course a student learns the principles behind both simple and advanced data structures. Study includes data types, arrays, stacks, queues, lists and trees. Students demonstrate understanding of these principles through the completion of several programs in the C++ language system.

Students are introduced to classical algorithms, including searching and sorting, hashing and information retrieval, with an emphasis on their applicability to solve real-world problems. Basic techniques to analyze and design algorithms are covered. Average and asymptotic behaviors are discussed. Complexity algorithms issues, performance characteristics, and estimating their potential effectiveness in applications are explored.

Parallel programming is a fundamental programming skill to construct high performance solutions for complicated computation tasks. This course introduces the basic concepts of parallel programming including parallel computer architectures, analytical modeling of parallel programs, and principles of parallel algorithm design, as well as effective techniques commonly used in coding, debugging, and testing parallel software.

In this course, students are introduced to the design and the implementation concepts of modern operating systems. The topics covered include basic capabilities of operating systems, virtual memory, resource allocation and management, concurrent processes and threads, deadlock detection and prevention, protection and security, I/O and file systems, batch and interactive subsystems. Completion of the course requires the student to perform several lab exercises that investigate and exercise key operating system features.

This course introduces students to the fundamentals of software design. Software Design consists of a set of commonly used design principles, design paradigms, design models, and design patterns. Through several working projects, students will learn how to choose proper design principles, design paradigms, design models and design patterns based upon the requirements specification. Also students will explore how to make correct adjustments to a design when some requirements have been changed.

This course provides the foundation for the study of computer system security. The course centers around the ten domains comprising the Information Security Common Body of Knowledge. Topics include access control systems, telecommunications and network security, cryptography, operations security and business continuity and disaster recovery planning. Students will be exposed to security management practices as well as security architecture and models security laws, investigations and ethics.

This course identifies and explains technical issues involved in network security. It also covers the fundamentals of wireless networking protocols, their security issues and threats. Covered topics include cryptography applications; access control; firewalls; key management network security issues; application, e-mail and middleware security; wireless local area network technologies.

This course provides the beginning engineer with fundamental knowledge and skills associated with the electrical or computer engineering professions. It will introduce common electronic components, basic circuit configurations, and laboratory instruments. Bench practices and lab reports will be introduced along with computer aided analysis.

This calculus-based course introduces analysis and relationships of voltage, current, resistance and power. Series, parallel and complex circuits are analyzed with Ohm’s Law. Kirchhoff’s voltage and current laws and network theorems are studied. Laboratory circuit construction, tests and measurements are performed using the appropriate components and equipment. Circuit simulation tools used in industry are also introduced.

EE252 is an introduction to the analysis and design of combinational and sequential digital systems. Number systems, Boolean switching algebra and Karnaugh mapping are presented as basic tools used in the design of digital systems using SSI and MSI level components. Lab activity, using TTL ICs, emphasizes the design and analysis techniques presented in lectures.

Embedded microcontroller development processes and tools are introduced. The hardware and software architecture of a contemporary off-the-shelf microcontroller is analyzed to determine its functional role as an embedded controller in the design of a digital system. An assembly language program development and simulation system introduces students to embedded system development environments.

This calculus-based course covers circuit analysis related to AC and transient signals. Resistance, reactance and impedance parameters are analyzed in series, parallel and complex circuits. Trigonometrics functions, AC network theorems, transformer and passive filter theories are applied. Laboratory circuit construction, test and measurements are performed using the appropriate components and equipment. Laboratory emphasis is placed on the knowledge and use of test and measurement instruments. Circuit simulation tools used in industry are employed.

A continuation of the study of digital system design emphasizing the use of programmable logic devices and modern design methods. Contemporary logic families are reviewed along with practical design limitations. Computer simulation tools are introduced in the design process.

This course provides a foundational knowledge for analyzing and designing electronic circuits as well as an intuitive approach to the design process. Discrete components and circuits are analyzed and designed to develop an understanding of how these components and circuits have lead to the fabrication of integrated circuits (ICs). Computer aided circuit stimulation, as well as hands-on applications of analysis and design theory, validates theoretical concepts.

This course explores global, economic, environmental, societal, and political issues that impact problem solutions. Students will be expected to consider the interaction of human issues and technology alternatives when deploying hardware and/or software solutions in differing environments and cultures.

This is the first course of a two-course capstone design sequence that integrates students into product design teams comprising engineering, engineering technology and logistics students. Each team is given a conceptual problem to be solved by the creation of a new product. This practicum exposes the team to current product development methods and issues beyond functionality, such as human factors, safety, engineering economics, maintenance and manufacturing. Students completing EE490 are expected to take the follow-on course, EE491 in the next term.

This is the completion of a two-course series capstone, design sequence. Student enrolled in EE491 are expected to have completed EE490 in the previous term.

This course serves as an introduction for students to acquire a foundation in current data communication and networking technologies. The course provides an introduction to the hardware, media, Ethernet, addressing, IP Configuration, components, and connections of a network. Network concepts such as network topologies, and major protocols, as well as the basic functions of network administration and operation are covered.

In this course methods are studies to solve differential equations and then apply them to application problems. Solution methods of specific types of first order differential equations are followed by their application to growth and decay, heating and cooling, and voltage and current response to R-L and R-C circuits. Solution methods for solving higher order linear differential equations are followed by their application to predicting the motion of masses under free and damped conditions. Analogous electronic filter and control circuits are modeled and their time domain behavior is predicted, especially for sinusoidal inputs. The final technique studied is the use of Laplace transforms to solve linear equations, and their application to second order differential equations from simple circuits.

An elementary coverage of statistical techniques is augmented at each step with the aid of technology for data processing and analysis in making inferences. Graphical presentation and statistical measures are studied, followed by basic probability concepts leading to binomial and normal distributions. Hypothesis testing is applied to drawing inferences for one and two population parameters. A graphing calculator or equivalent technology is required.

This course emphasizes a step-by-step, hands-on approach to teach students the use of automated project tools such as Microsoft Office Project to help effectively plan, design, and manage a project schedule from start to close. Students will have the opportunity to build a complete project schedule from a given or chosen scenario, and manage project resources, plan cost management, estimate costs, and determine the project budget. During the course, students will examine the fit and appropriate use of various other tools, like Rally, Jira, and Service-Now.