CONE 501 - Productivity in Construction
Hours: 3
This course addresses improved methods of construction; various techniques of work sampling and productivity measurement; and current innovations in the construction industry for increasing efficiency. Prerequisites: Departmental approval.

CONE 510 - Bridge Engineering
Hours: 3
Overview of design of highway bridges, and an introduction to maintenance of highway bridges; history of bridge engineering, types of bridges and materials of construction, design rules, loads, inspection, rating and preventive maintenance, esthetics. Prerequisites: Departmental approval.

CONE 512 - Dynamic Loads and Structural Behavior
Hours: 3
Dynamic modeling of single, multidegree of freedom and continuous systems; dynamic load factors; damping; node superpositions; numerical integration; dynamic behavior of structures and structural elements under action of dynamic loads resulting from wind, earthquake, blast, impact, moving loads and machinery. Prerequisites: Departmental approval.

CONE 514 - Behavior and Design of Composite Structures
Hours: 3
Design of composite structural systems comprising structural steel and reinforced concrete; composite slabs on steel beams; composite slabs on formed metal deck; columns; moment frame systems; shear wall systems; braced frame systems; dual systems; introduction to retrofitting applications. Prerequisites: Departmental approval.

CONE 515 - Behavior and Design of Prestressed Concrete Structures
Hours: 3
The course introduces students to the behavior and design of prestressed concrete structures and provides them the background needed to design various prestressed concrete members. Course topics include an overview of prestressing technology, loss of prestress, axially loaded prestressed members, flexural and shear behavior/design of prestressed members, and deflections. At the end of the course, students are expected to have the ability to describe the expected behavior of and perform basic design procedures for typical prestressed concrete members. Prerequisites: Departmental approval.

CONE 516 - Machine Intelligence and Applications in Civil Engineering
Hours: 3
Designing machine vision and machine learning based algorithms for applications in engineering, construction, and manufacturing; additional emphasis on image processing, feature representation, and machine learning. Prerequisites: Departmental approval.

CONE 518 - Thesis
Hours: 3-6
This course provides graduate students with the structured guidance and academic support necessary to successfully complete a master’s thesis. Students will engage in independent research under faculty supervision, developing their research questions, methodology, literature review, and analysis. Prerequisites: Graduate Standing, Departmental approval.

CONE 520 - Finite Element Theory and Applications in Structural Engineering
Hours: 3
Role of the finite element method (FEM) in structural engineering; use of commercial finite element software; application of FEM method for various structural engineering problems; selection of appropriate FEM models; types of elements and mesh sizes; use and interpretation of FEM results. Prerequisites: Departmental approval.

CONE 522 - Advanced Construction Technology
Hours: 3
This graduate-level course explores cutting-edge technologies and innovative practices in the construction industry to improve efficiency, sustainability, and project performance. Topics include advanced building materials, automation and robotics in construction, Building Information Modeling (BIM), prefabrication and modular construction, smart infrastructure, and sustainable construction techniques. The course also examines the integration of digital tools such as artificial intelligence, drones, and the Internet of Things (IoT) in construction management and monitoring. Through case studies, simulations, and hands-on projects, students will gain the knowledge and skills to implement advanced technologies in modern construction projects, addressing challenges related to cost, time, quality, and environmental impact. Prerequisites: Departmental approval.

CONE 524 - Sustainability in Construction
Hours: 3
This graduate-level course examines sustainable practices, materials, and technologies in the construction industry to minimize environmental impact and enhance long-term resilience. Topics include green building design, energy-efficient construction, life-cycle assessment, sustainable materials, waste reduction strategies, and environmental certifications such as LEED and BREEAM. Students will explore emerging trends in circular economy principles, net-zero buildings, and climate-responsive design. The course integrates theoretical concepts with practical applications through case studies, policy analysis, and hands-on sustainability assessments. By the end of the course, students will be equipped with the knowledge and tools to implement sustainable solutions in construction projects, promoting environmental stewardship and economic viability. Prerequisites: Departmental approval.

CONE 526 - Building Information Modelling
Hours: 3
This course focuses on the role of Building Information Modeling (BIM) in Engineering. Students will learn the fundamental processes of BIM based on 3D computer drafting, including site analysis and data extraction, basic model building, dimensioning, planning, and elevations, parametric modeling, documentation, and 3D rendering. Prerequisites: Departmental approval.

EE 501 - Digital Communications Systems
Hours: 3
Digital communication systems; coding for discrete sources and quantization; source and channel waveforms, signal spaces; modulation and demodulation, random noise; detection, error control coding, efficient decoding algorithms. Prerequisites: Departmental approval.

EE 502 - Cellular Communications Network
Hours: 3
This course will cover fundamental concepts in mobile wireless systems such as propagation and fading, cellular systems, channel assignment, power control, handoff, mobility management. It will also cover system and standards issues including second-generation circuit switched and third-generation packet switched networks, wireless LANs, mobile IP, and ad hoc networks. Besides providing an overview of current technologies, the emphasis on the course will be to identify the challenges that face the engineers of wireless communications networks. Prerequisites: Departmental Approval.

EE 510 - Advanced Wireless Communication
Hours: 3
Wireless applications, modulation formats, wireless channel models and simulation techniques, digital communication over wireless channels, multiple access techniques, wireless standards. Prerequisites: Departmental approval.

EE 512 - Adaptive Signal Processing
Hours: 3
Fundamentals of adaptive filters and associated algorithms: mean-square error and least-squares approaches; steepest-descent algorithm; the least-mean-square adaptive filters, recursive least-squares adaptive filters, frequency domain and sub-band adaptive filters and unsupervised adaptive filters; analysis of these adaptive filters and discussion of selected applications. Prerequisites: Departmental approval.

EE 514 - Digital Image Processing
Hours: 3
Image sampling and quantization, color, point operations, segmentation, morphological image processing, linear image filtering and correlation, image transforms, eigenimages, multiresolution image processing, noise reduction and restoration, feature extraction and recognition tasks, image registration. Emphasis is on the general principles of image processing. Students learn to apply material by implementing and investigating image processing algorithms in Matlab. Prerequisites: Departmental approval.

EE 516 - Antenna Theory and Design
Hours: 3
Application of Maxwell's equations to determine electromagnetic fields of antennas; radiation, directional arrays, impedance characteristics, aperture antennas. Prerequisites: Departmental approval.

EE 518 - Thesis
Hours: 3-6
This course provides graduate students with the structured guidance and academic support necessary to successfully complete a master’s thesis. Students will engage in independent research under faculty supervision, developing their research questions, methodology, literature review, and analysis. Prerequisites: Graduate Status. Departmental approval.

EE 520 - RF & Microwave Circuits
Hours: 3
Microwave two-terminal and three-terminal solid-state devices; waveguide and microstrip solid-state circuits; theory and design of microwave mixers, detectors, modulators, switches, phase shifters, oscillators and amplifiers. Prerequisites: Departmental approval.

EE 522 - Information Theory and Coding
Hours: 3
Definition of information; coding of information for transmission over a noisy channel including additive gaussian noise channels and waveform channels; minimum rates at which sources can be encoded; maximum rates at which information can be transmitted over noisy channels. Prerequisites: Departmental approval.

EE 524 - Advanced Control Systems
Hours: 3
Time-domain and frequency-domain design of control systems; concepts of state and state space; description of dynamic systems in state-variable format; canonical forms; controllability and observability; state feedback and state estimation; applications and hardware. Prerequisites: Departmental approval.

EE 526 - Digital Control Systems
Hours: 3
Modeling, analysis, and design of digital control systems; A/D and D/A conversions, Z-transforms, time and frequency domain representations, stability, microprocessor-based designs. Prerequisites: Departmental approval.

ENGR 510 - Advanced Probability and Statistics for Engineers
Hours: 3
Topics in probability and statistics with an emphasis on solving engineering problems. Following this course, students will be able to analyze data, design and analyze statistically valid experiments, and draw statistically valid conclusions. Topics include probability, sampling distributions, probability distributions, confidence intervals, hypothesis testing, regression and correlation, analysis of variance (ANOVA), design of experiments, statistical process control, classification, and computer software for basic statistical analysis. Prerequisites: Departmental Approval.

ENGR 520 - Design of Experiments
Hours: 3
This course introduces the principles and methodologies of designing and analyzing experiments to optimize processes and improve decision-making in engineering and scientific research. Topics include factorial and fractional factorial designs, response surface methodology, Taguchi methods, randomized block designs, and statistical analysis of experimental data. Students will learn how to plan experiments efficiently, minimize variability, and interpret results to drive innovation and process improvements. Emphasis is placed on practical applications in engineering, manufacturing, and quality control, with hands-on exercises using statistical software. By the end of the course, students will be equipped with the skills to design robust experiments and make data-driven decisions. Prerequisites: Departmental approval.

ENGR 530 - Project Management
Hours: 3
This graduate-level course provides an in-depth exploration of project management principles, methodologies, and best practices essential for leading complex projects in engineering, technology, and business environments. Topics include project initiation, planning, scheduling, risk management, cost estimation, resource allocation, stakeholder communication, and performance evaluation. The course also covers advanced concepts such as Agile and Lean project management, strategic portfolio management, and the impact of emerging technologies on project execution. Through case studies, simulations, and hands-on applications, students will develop critical thinking and leadership skills necessary for successfully managing projects from inception to completion. Prerequisites: Departmental Approval.

ENGR 540 - Engineering Management
Hours: 3
An exploration of management principles within engineering organizations. Topics include decision-making models, financial analysis, strategic planning, organizational behavior, technology innovation, and leadership in technical teams. Case studies highlight successful engineering management practices and the challenges of integrating technical expertise with business operations. Prerequisites: Departmental Approval.

ENGR 595 - Research Methods for Engineers
Hours: 3
This course provides an introduction to research methodologies and techniques essential for engineering studies and professional practice. Students will learn how to design experiments, conduct literature reviews, analyze data, and effectively communicate research findings. Topics covered include research design, hypothesis formulation, qualitative and quantitative data analysis, statistical methods, ethical considerations, and technical report writing. The course emphasizes practical applications of research principles in engineering problem-solving and innovation. By the end of the course, students will be equipped with the skills necessary to conduct independent research and contribute to advancements in engineering fields. Prerequisites: Departmental Approval.

TMGT 510 - Strategic & Resource Planning in Technology Organizations
Hours: 3
Study of advanced strategic and resource planning techniques and methods that apply to contemporary technology-intensive organizations. Includes investigation of planning concepts and frameworks, methods for linking technology and business strategies, and comprehension of the nature of global competition, risk assessments, and business needs prioritization. Prerequisites: TMGT 595 with a minimum grade of C or concurrent enrollment, or TMGT 495A, or permission of Department.

TMGT 511 - Management of AI & Emerging Technologies
Hours: 3
Study of Artificial Intelligence and other emerging technologies and the management, ethical, and societal challenges they pose to engineering and technology organizations. Emphasis on how managers assess AI and emerging technologies, share organizational strategies, make investment decisions, and create organizational structures that can effectively compete in the global market. Prerequisites: TMGT 595 with a minimum grade of C or concurrent enrollment, or TMGT 495A, or acceptance into the GCLT Technology Leadership Graduate Certificate program, or permission of Department.

TMGT 512 - Leadership in Engineering and Technology
Hours: 3
Advanced study of the leadership attributes, theories, and concepts found within the contemporary fields of engineering and commercial construction, and within technology-intensive enterprises. Prerequisites: TMGT 595 with a minimum grade of C or concurrent enrollment, or TMGT 495A, or acceptance into the GCLT Technology Leadership Graduate Certificate program, or permission of Department. Crosslisted with: TMGT 412A

TMGT 513 - Knowledge Management in Engineering & Technology Organizations
Hours: 3
Study of knowledge management and its organizational impact. Students will conduct research into how knowledge management affects the contemporary organization. Emphasis is placed on how organizational knowledge is captured, retained, accessed, and used to provide a competitive edge in the global environment.

TMGT 514 - Engineering and Technology Project Management
Hours: 3
Study of techniques and applications for managing projects with emphasis on project management planning, network scheduling, project graphics, and other related topics. Prerequisites: TMGT 595 with a minimum grade of C or concurrent enrollment, or TMGT 495A, or acceptance into the GCLT Technology Leadership Graduate Certificate program, or permission of Department.

TMGT 515 - Project Management Tools & Techniques
Hours: 3
Advanced study of project management tools and techniques needed for technology managers; with an emphasis on four components of project management: (1) pricing and estimating, (2) cost analysis, (3) risk management, and (4) quality management. Students will conduct case studies and address technology management problems by utilizing project management tools and techniques during the course of study. Prerequisites: TMGT 595 with a minimum grade of C or concurrent enrollment, or TMGT 495A, or acceptance into the GCLT Technology Leadership Graduate Certificate program, or permission of Department.

TMGT 516 - Staff Development in Technology Organizations
Hours: 3
Study of advanced methods for staff development, management, and organizational development that apply to contemporary technology-intensive organizations. Includes investigation of techniques for employee hiring, candidate locating and interviews, employee development, dispute handling, leadership preparation, ethical practices, and team building.

TMGT 517 - Vendor & Value Chain Management
Hours: 3
Study of advanced methods for the management of vendors and value chains that apply to contemporary technology-intensive organizations. Includes investigation of techniques for contract management, Request for Proposal (RFP) development, proposal review, mergers and acquisitions (M&A) due diligence activities, expectation communication and management, and special considerations for outsourced technology-related services.

TMGT 519 - Ethics & AI
Hours: 3
This course explores ethical considerations in technology management with a focus on artificial intelligence. Students will examine professional responsibilities of technology leaders, including integrity, decision-making, and stakeholder trust, while also addressing key AI concerns such as fairness, accountability, and transparency. Case discussions will help students apply ethical frameworks to real-world challenges in managing and deploying emerging technologies. Prerequisites: TMGT 595 with a minimum grade of C or concurrent enrollment, or TMGT 495A, or permission of Department Head.

TMGT 589 - Independent Study
Hours: 1-3
Individualized instruction/research at an advanced level in a specialized content area under the direction of a faculty member. May be repeated when the topic varies.

TMGT 590 - Technology Management Seminar
Hours: 3
Students will conduct an in-depth case study on a topic selected by the program faculty. Topics will vary each semester and will be selected from relevant and timely subjects/technologies.

TMGT 595 - Applied Research in Engineering & Technology
Hours: 3
Study of research methodologies, analysis and processes utilized in contemporary engineering and technology intensive disciplines. Crosslisted with: TMGT 495A

TMGT 597 - Special Topics in Engineering & Technology
Hours: 0-3
Special Topics in Engineering & Technology. Organized class. May be repeated when topics vary.

TMGT 599 - Technology Management Practicum
Hours: 3
This capstone course experience serves as the opportunity for students to demonstrate and document their program learning experience and mastery of expected/required program of study competencies, goals, and learning outcomes within the Master of Science degree in Technology Management. Additionally, administered through this course will be the Master's Comprehensive Examination that will assess the student’s mastery of concepts taught in the required major core courses. This course is to be taken during the final semester of coursework in the TMGT program following the completion of all, or all but one, of the other core courses. Prerequisites: Must be core-complete or may be taken concurrently with one remaining core course.