Dr John Santiago has taught numerous courses at the United States Air Force Academy and now at the Colorado Technical University as well as taking a large number of graduate and continuing education courses.  Dr J is planning to develop a number  of multimedia material on courses based on his education and experience as well as courses he has taught at the USAF Academy.  To get more information about the courses  or access to the mulitmedia material for the courses below, please contact Dr J at john@e-liteworks.com or contact him at  719-963-5873.

For active or retired professors/instructors or anyone who are interested in contributing content to this project please contact Professor Santiago.

Investing and Real Estate for Baby Boomers.  In addition to my experience with the Air Force, I've done numerous investments in stocks, mutual funds, stock options and exchange-traded funds (ETFs).  I plan to put up videos for these topics also.  Everyone including techies need a financial education.  I also invested in time and resources in learning how to do real estate.  As an example for one of the topics, here is a sample video on ETFs.'

Leadership. I am to put on a series of short videos based on John Wooden's Pyramid of Success.  Go here for a sample of content.

Introductory Circuit Analysis.   Introduces analysis and relationships of voltage, current, resistance and power.  Series, parallel and complex circuits are analyzed with Ohm's Law.  Kirchoff's voltage and current laws and network theorems are studied.  Laboratory circuit construction, test and measurements will be performed using the appropriate components and equipment.  Introduces circuit simulation tools used in industry.

Advanced Circuit Analysis.   Introduces Laplace transform and frequency domain methods to model analyze and design electrical circuits.  Additional topics include Bode analysis techniques.  Fourier series and Fourier transforms.  Methods studied are applied in passive and active filter design.

Signals and Systems with Applications to Robotics.  Investigates analysis methods for signals and linear systems, especially as these methods apply to communication and control systems.  Studies signal classification, power and energy calculations, and time and frequency domain representations of signals and systems.  Definition and mathematical treatment of electrical signals and linear systems in preparation for the study of communication systems.  Continues Laplace and Fourier analysis and introduces convolution.  Signal and system simulation techniques are explored.

Communications Systems I with Applications to Robotics.   This is an introductory course in communications theory emphasizing the correlation between signal information in the time domain and frequency domain.  Basic signal filters are developed and applied.  Basic principles of linear and angle modulation and demodulation are presented.  Concepts of analog communication are introduced.  Telemetry and data acquisition are introduced.

Communications Systems II with Applications to Robotics.   This is a continuation of basic communication theory and principles, emphasizing digital communications.  Basic concepts in representing digital signals are studied along with contemporary techniques for digital modulation and multiplexing.  Spread spectrum system fundamentals are also introduced.  In addition, students use a contemporary communications systems design application tool to model and evaluate communications systems.  Telemetry and data acquisition are looked in-depth.

Advanced Communication and Telemetry Design.  This course provides an opportunity for students to apply their knowledge for advanced communication design.  The engineering major senior-level students have the opportunity to independently solve one or more engineering design problems.  A student will be required to define the problem specifications in the form of a project plan that must be approved by the course faculty mentor.  The project plan serves as the framework for the student's efforts to satisfactorily solve the design problem.  The resulting design may be in the form of a hardware implementation, computer simulation or both.  A professional final report and briefing are required at the end of the course.

Advanced Control System Design with Applications to Robotics.  This course introduces the modeling, analysis, and control of real systems.  Differential equation, transfer function, and block diagram modeling is used for traditional control methods, while state variable modeling is used for modern control.  Traditional control methods include PI and PID.  Modern control methods will include state feedback control and state estimation methods.

Advanced Product Design and Project Management.  Completion of a two-course, capstone design sequence.  It 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 enrolled in EE 491 are expected to have completed EE490 in the previous term.

Digital Signal Processing with Applications to Speech and Image Processing.   This course develops the principles of digital signal processing.  Topics covered include discrete-time signals, the Z-transform and discrete Fourier transform, finite impulse response (FIR) and infinite impulse response (IIR) filters and methods of digital filter design.

Introduction Spread Spectrum Communications and CDMA.  This course addresses the principles of spread-spectrum communication systems.  Topics include:  spread-spectrum concepts, direct-sequence and frequency-hop systems, finite-field math to include generator polynomials, maximum-length sequence generators, code-tracking loops, receiver synchronization and CDMA digital cellular communication systems.

Advanced Digital Communications.  This course studies advanced techniques for transmitting digital data.  Introduction to communication topics such as signals and noise definitions, formatting transmission of data, and waveform and convolution encoding techniques.

Introduction to Space Communications.  Addresses the principles of modern communication methods using the space arena as a practical theater of application.  Topics include modulation/demodulation techniques, digital encoding/decoding, error detection and correction, interleaving methods, antennas, channel characteristics and multi-access techniques. Specific satellite communication systems will be discussed to amplify applicability and establish a real-world appreciation for the theory presented in the course.

Introduction to Trigonometry.  This course covers the six trigonometric functions, covered from both a right triangle and unit circle perspective.    Applications are stressed, using graphs, triangles and trig identities.  Complex number and their trig form are studied, and vectors in the plane are introduced.  A graphing calculator is required.

Introduction to Statistics.  Introduces elementary coverage of statistical techniques, augmented at each step with the aid of a computer programs for data processing and analysis in making inferences.  Graphical presentation and statistiical 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.

Introduction to Electromagnetics.  Introduces concepts to electromagnetics that include electro- and magnetostatics, Maxwell's equations, capacitance, inductance, dielectric and magnetic materials, and plane wave propagation.  Concepts are applied to practical applications in transmission lines and antennas.

Introduction to Systems Engineering.  Introduces the discipline of systems engineering and addresses the design and analysis of complex systems.  Includes a survey of the quantitative methods employed in the discipline.  Examples are drawn from large multi-disciplinary projects and from the field of software engineering.

Advanced Systems Engineering.  Continues the study of systems engineering.  Includes developing system requirements, life=cycle management, examining alternative solutions, selecting and defending a selection, design, and analysis, requirements traceability, manufacturability, integration, verification, risk management, configuration management and documentation.  It includes case studies and quantitative methods where applicable.

Introduction to Systems Dynamics, Modeling, and Simulation.  This course examines in depth the quantitative methods used in systems engineering for design, analysis, and verification of complex systems.  It includes linear and non-linear systems analysis, mathematical models of complex systems, continuous-time discrete event simulation, a survey of operations research methods, and optimization techniques.

Overview of the Systems Acquisition Processes and Standards.  Addresses systems engineering requirements that flow from the Federal Acquisition Regulations (FARs), to include standards that govern all phases of a system life cycle that a Government contractor needs to understand to engineer, manufacture, support, and verify a complex system intended for Government procurement.  It includes liberal use of case studies.

General Introduction to Matlab, Tutorials and Applications using Matlab. Provides a general introduction to Links to other websites using Matlab to solve numerous problems