Courses - Spring 2025
ENPM604
Machine Learning Techniques Applied to Cybersecurity
Credits:
3
Grad Meth:
Reg, Aud
Credit only granted for: ENPM808R or ENPM604.
Formerly: ENPM808R.
Focuses on applying machine learning techniques to cybersecurity, and includes labs to be done independently, as well as an overview of the latest machine learning algorithms and their application to cyber. A brief overview of which techniques should be applied to particular cyber problems will be provided, and the course culminates in students researching the latest applications of Machine learning to cyber, allowing the students to each develop a niche of expertise in that specific subtopic. As such, the students should be increasingly employable in their area of cyber expertise by industries searching for solutions to their cyber problem space.
ENPM605
Python Applications for Robotics
Credits:
3
Grad Meth:
Reg, Aud
Credit only granted for: ENPM809E or ENPM605.
Formerly: ENPM809E.
This hands-on course will look at the use of Python 3 with the Robot Operating System (ROS) in order to control a mobile robot in Gazebo simulated environments.
ENPM611
Software Engineering
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: Competency in one programming language; and must have completed an undergraduate software engineering course.
Software engineering concepts, methods, and practices important to both the theorist and the practitioner will be covered. The entire range of responsibilities expected of a software engineer are presented. The fundamental areas of requirements development, software design, programming languages, and testing are covered extensively. Sessions on supporting areas such as systems engineering, project management, and software estimation are also included.
ENPM612
System and Software Requirements
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: ENPM611.
Restriction: Permission of Maryland Applied Graduate Engineering.
Focus will be placed on the theoretical and practical aspects of requirements development. Students will recognize the place of requirements, how to work with users, requirements methods and techniques, the various requirements types, how to set requirements development schedules, requirements evolution, how to model and prototype requirements, how to evaluate and manage risk in requirements, techniques to test requirements, how to manage the requirements process, and how to write an effective requirements document.
ENPM614
Software Testing & Maintenance
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: ENPM611.
Restriction: Permission of Maryland Applied Graduate Engineering.
The purpose of this course is to provide an overview of software testing and maintenance and how these activities fit into the Software Engineering Life-Cycle. Many examples used in the lectures are derived from analysis of various NASA systems. Topics include various forms of testing such as Functional Testing, Combinatorial Testing, Structural Testing, Model-Based Testing, Security-oriented testing as well as Software Architecture's role in testability & maintainability, Regression Testing, Automated Testing, Testing Coverage including MC/DC coverage and testing standards.
ENPM637
Managing Software Engineering Projects
Credits:
3
Grad Meth:
Reg, Aud
Credit only granted for: ENPM808E or ENPM637.
Formerly: ENPM808E.
Addresses the breadth of managing software engineering projects. It will help in transforming inspiring software engineers to software project leaders. The course will impart advanced principles, methods and tools for management of software projects in a realistic software engineering context. A hybrid project management will be taught with more focused on Agile Project Management paradigms. The course will also impart a cutting-edge scalable, modular, and integrated patterns of the Scaled Agile Framework (SAFe) 4.0 for the software engineering program and portfolios management. In addition, the course will also instill DevOps best practices to build much more responsible organizations that can move quickly in ever-changing circumstances. Methods for managing and optimizing the software development process are discussed along with techniques for performing each phase of the systems development lifecycle.
ENPM650
Solar Thermal Energy Systems
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: Undergraduate level courses in thermodynamics, heat transfer, and fluid mechanics, at least one semester each.
Covers a review of related fundamentals, including limitations imposed by thermodynamics, solar spectral characteristics, measurement, and analytical models to predict solar irradiance with respect to time, location and orientation. The course will then examine the characteristics of various components in solar thermal systems with particular emphasis on flat plate and concentrating collectors, fixed and tracking collector systems, heat exchangers and thermal storage to understand how they work and how their performance is influenced by their design. The course will then lead to an examination of systems and system performance, including system design, predicted energy savings and related economics. The course will introduce low temperature applications such as solar hot water, space heating and water distillation, as well as concentrating solar energy for solar thermo-chemical processes to produce hydrogen and solar power generation systems. A project of importance to the development of Solar Thermal Power Systems will be assigned.
ENPM651
Heat Transfer for Modern Application
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: Undergraduate Transfer Processes.
Presents the three modes of heat transfer: conduction, convection, and radiation. One- and two-dimensional steady-state and transient conductions are studied. The lumped capacitance analysis is used for transient conduction when suitable. Convection heat transfer is studied in both external and internal flow cases and under laminar and turbulent flow regimes. Free convection is also studied where the heat transfer is due to flow-induced by fluid buoyancy. Radiation heat transfer is studied by considering both the general characteristics of radiation along with the properties of radiating surfaces and radiation heat transfer between surfaces. For each subject, real engineering examples will be tackled by using Engineering Equations Solver and Coil Designer software. As an application of multi-mode heat transfer principles, the design and optimization of air-to-refrigerant heat exchangers are studied in the course.
ENPM656
Energy Conversion II -- Mobile Power
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: Must have completed undergraduate courses in thermodynamics, heat transfer, and fluid mechanics; or ENPM672.
Designed to give students an understanding of the principles and design concepts associated with important fuel - engine aspects of modern and advanced mobility power systems. Emphasis is given to state of the art and emerging IC engine technologies such as those applied to modern and advanced automotive (i.e. self-propelled) vehicles. Electric Vehicles will also be explored.
ENPM661
Planning for Autonomous Robots
Credits:
3
Grad Meth:
Reg, Aud
Planning is a fundamental capability needed to realize autonomous robots. Planning in the context of autonomous robots is carried out at multiple different levels. At the top level, task planning is performed to identify and sequence the tasks needed to meet mission requirements. At the next level, planning is performed to determine a sequence of motion goals that satisfy individual task goals and constraints. Finally, at the lowest level, trajectory planning is performed to determine actuator actions to realize the motion goals. Different algorithms are used to achieve planning at different levels. This graduate course will introduce planning techniques for realizing autonomous robots. In addition to covering traditional motion planning techniques, this course will emphasize the role of physics in the planning process. This course will also discuss how the planning component is integrated with control component. Mobile robots will be used as examples to illustrate the concepts during this course. However, techniques introduced in the course will be equally applicable to robot manipulators.
ENPM663
Building a Manufacturing Robotic Software System
Credits:
3
Grad Meth:
Reg, Aud
Recommended: Prior C++ or Python programming experience.
Credit only granted for: ENPM809B or ENPM663.
Formerly: ENPM809B.
This hands-on course will look at the components of manufacturing robots, including architectures, planning/control, simulation, and measurement science. Students will explore the work that is being researched around the world in each of these areas, and will perform small hands-on exercises in most of the classes to gain a deeper understanding of how a selected set of these technologies can be applied to real-world challenges.
ENPM664
Embedded System Hacking and Security
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: Prior programming experience, familiarity with computer architectures and reading assembly.
Restriction: Must have permission of Maryland Applied Graduate Engineering.
Credit only granted for: ENPM809I or ENPM664.
Formerly: ENPM809I.
The purpose of this course is to reveal the tools, techniques and procedures (TTPs) employed by adversaries to exploit and subvert the security of embedded systems. This course will cover the core concepts and techniques to analyze and characterize the behavior of embedded systems and platforms. Concepts will be introduced and discussed within the context of an adversary intent on altering or subverting the behavior of such systems. The course does not expect students to have any prior embedded systems experience.
This course requires the purchase of a kit. Information will be provided by the department when permission is requested.
ENPM665
Cloud Security
Credits:
3
Grad Meth:
Reg, Aud
Credit only granted for: ENPM809J or ENPM665.
Formerly: ENPM809J.
Covers the fundamentals of securing cloud-based workloads from the ground up with many hands-on examples. Through these hands-on exercises the course will demonstrate where the similarities and differences are when securing the cloud compared to securing traditional IT.
ENPM670
Advanced Energy Audit, Modeling, and Management of Building Systems
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: Prior knowledge of undergraduate basic thermodynamics and heat transfer.
Recommended: Knowledge of electrical systems and controls is desirable.
Provides students with fundamentals and applications of energy audit, modeling, and management in building energy systems. It will cover key definitions, units, the supply/demand fundamentals for the various energy sources, the challenges of decarbonization (across several sectors), drivers of energy demand in the buildings sector (residential, commercial, manufacturing), energy audit procedures for various types of systems, economics/life-cycle costing and more. Students will gain experience conducting energy audits through real-world project(s), different modeling tools (e.g. System Advisor Models), and data sources necessary to conduct core analyses across sectors will be covered.
ENPM673
Perception for Autonomous Robots
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: Must have completed or be concurrently enrolled in ENPM661; and must have proficiency in a programming language.
Recommended: Familiarity with Python.
Restriction: Permission of Maryland Applied Graduate Engineering (MAGE).
This course offers a foundation in computer vision. Students will learn techniques and algorithms that can be used to solve an abundance of perception problems. This course is dedicated to anyone interested in giving their autonomous system (e.g., robot, autonomous driving car, or simply a smart camera) means to understand their surrounding world. Throughout the projects of this course students will gain hands-on experience in solving real-life problems such as lane detection for autonomous driving, computing velocities of moving objects, and building a 3D model of an object using 2D images from cameras. Moreover, students will gain experience with state-of-the-art tools such as programming using OpenCV, Python and introduction to Machine Learning using PyTorch.
ENPM685
Security Tools for Information Security
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: Familiarity with Linux and Windows operating systems, as well as TCP/IP and basic networking concepts.
Students will perform host- and network-based security tasks relating to security, investigation, compliance verification and auditing using a wide selection of commonly used tools on both Windows and Linux platforms, with emphasis on open source tools.
ENPM686
Information Assurance
Credits:
3
Grad Meth:
Reg, Aud
The first half of lectures provides an overview of cybersecurity. One third of these lectures focuses on the fundamentals of cybersecurity like authentication, access control, and security models. The second third focuses on the practice of cybersecurity using Unix and Windows NT as case studies. The last third is dedicated to security in distributed systems including network security, and World Wide Web security. The second half of the lectures focuses on the information assurance process. First, information assets are enumerated and classified. Second, the main vulnerabilities and threats are identified. Third, a risk assessment is conducted by considering the probability and impact of the undesired events. Finally, a risk management plan is developed that includes countermeasures involving mitigating, eliminating, accepting, or transferring the risks, and considers prevention, detection, and response.
ENPM690
Robot Learning
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: Proficiency in at least one commonly used programming language (e.g., C++, Python, Java), CMSC422 (Intro to Machine Learning) or equivalent.
Credit only granted for: ENPM808F or ENPM690.
Formerly: ENPM808F.
Machine learning may be used to greatly expand the capabilities of robotic systems, and has been applied to a variety of robotic system functions including planning, control, and perception. Adaptation and learning are particularly important for development of autonomous robotic systems that must operate in dynamic or uncertain environments. Ultimately we would like for the robots to expand their knowledge and improve their own performance through learning while operating in the environment (on-line and/or lifelong learning). This graduate course will explore the application of machine learning techniques, paradigms, and control design to robotic systems, focusing primarily on key useful representations and model building techniques for application in non-stationary robotic systems.
ENPM691
Hacking of C programs and Unix Binaries
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: ENEE150 or equivalent.
Teaches the fundamentals of secure programming in C. An in depth discussion on various security vulnerabilities (e.g., buffer overflows) in C applications will be taught with hands-on demo of concepts during the class. Students will learn how a C program runs "under-the-hood". The course will teach nitty-gritty of C programs by analyzing at the assembly level. The course discusses best practices (e.g., coding standards) and design principles for secure programming so that security can be built-in during design time. In addition to assignments, students are required to present papers related to this course.
ENPM692
Manufacturing and Automation
Credits:
3
Grad Meth:
Reg, Aud
Credit only granted for: ENPM808P or ENPM692.
Formerly: ENPM808P.
Covers automation and product realization, digital factories, and disruptive manufacturing technologies. The role of additive manufacturing, sustainability, and performance simulation in selected manufacturing scenarios will be explored alongside automation strategies for rapid product development.
ENPM693
Network Security
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: An operating systems and/or network protocol course or equivalent.
Formerly: ENPM808N.
Introduction to various approaches to design; specify and verify security protocols used in large systems and networks; familiarization with some current technologies. Security threats and countermeasures, communication security and basic encryption techniques, authentication protocols, data confidentiality and integrity, analysis of cryptographic protocols, and access control in large systems and networks.
ENPM701
Autonomous Robotics
Credits:
3
Grad Meth:
Reg, Aud
Restriction: Permission of Maryland Applied Graduate Engineering.
Credit only granted for: ENPM809T or ENPM701.
Formerly: ENPM809T.
This is a hands-on course exploring the principles of robotic autonomy. Students will explore the theoretical, algorithmic, and implementation aspects of autonomous robotic modeling and controls, perception, localization and SLAM, planning, and decision making. These techniques will be applied through completion of a semester-long hands-on project employing the course material, ground-based mobile robots, and Python.
This course requires the purchase of a robotics kit.
ENPM808
Advanced Topics in Engineering
Credits:
1 - 3
Grad Meth:
Reg, Aud
Independent study project on a topic relevant to their academic program, supervised by a University of Maryland, College Park faculty member. Requires application and approval.
ENPM808K
Advanced Topics in Engineering; Advanced Systems Architecting
Credits:
3
Grad Meth:
Reg, Aud
This course continues the MSSE systems engineering course progression with a comprehensive focus on system architecture that drives systems and enterprise engineering decision making at many levels. The course introduces students to models for enterprise, business, systems-level, service/component level, discipline-specific architectures. Students will use integrated architecting tools to solve problems of interest to them and that stress the capture, analysis, reconciliation, leverage, and execution of architecture at many levels and the exercise of ANSI/ISO/IEC/IEEE standards for architectural description.
ENPM808L
Advanced Topics in Engineering; Analytics for Decision Support
Credits:
3
Grad Meth:
Reg, Aud
Understand organizational decision-making characteristics and the roles of analytics and decision support systems to enhance and optimize outcomes. Through hands-on practice, be able to lead/collaborate to implement a data analytics project to support organizational goals and measure its effectiveness.
ENPM808P
Advanced Topics in Engineering; Printed Electronics
Credits:
3
Grad Meth:
Reg, Aud
Additive manufacturing has emerged as an exciting option for fabricating electronics enabling fabrications on difficult geometries otherwise inaccessible by traditional techniques. This course will introduce the basic concepts of 3D printed electronics.
ENPM808V
Advanced Topics in Engineering; Quality Management Systems and Lean Six Sigma
Credits:
3
Grad Meth:
Reg, Aud
This course covers Quality Engineering approaches for creating optimal and robust manufacturing and engineering systems. It provides an overview of the important tools for quality analysis and quality management of engineering systems. These tools are commonly used in companies and organizations.
ENPM809I
Special Topics in Engineering; Fundamentals of Unmanned Air Vehicles
Credits:
3
Grad Meth:
Reg, Aud, S-F
This course will cover the instruction in, and deployment of, key knowledge and skills associated with the characterization, operation, design, analysis and testing of unmanned air vehicles (UAVs). Primary focus will be given toward UAV flight mechanics. The course explores the essential underlying physics, configuration issues, system development, guidance, navigation, control, and sensors of UAV problems, including autopilot for stability, control and functions of path planning. The course material and text leads the student from rigid-body dynamics through aerodynamics, stability augmentation, and state estimation using onboard sensors, to maneuvering through desired paths. To facilitate understanding, the intent is to augment traditional homework assignments with a simulation project utilizing a MATLAB modeling environment. Students begin by modeling rigid-body dynamics, then add aerodynamics and sensor models. They develop a low-level autopilot code, a path-following routine, and plotting algorithms. Students will further be exposed to small UAV flight through the use of RC aircraft. The students will observe operation and programing of flight of small RC aircraft (e.g., quad- copters).
ENPM809J
Special Topics in Engineering; Introduction to Power Systems Engineering
Credits:
3
Grad Meth:
Reg, Aud
A power systems analysis course focused on providing the fundamental concepts and calculations necessary for non-electrical engineering students to pursue education in related areas (e.g., electric vehicle engineering).
ENPM809Q
Special Topics in Engineering; Gas Turbines
Credits:
3
Grad Meth:
Reg, Aud
A course designed to acquaint the student with the design and analysis of modern gas turbine engines for land, sea and air use. The emphasis is on the constraints and limitations of the various components that omprise gas turbine engines such as axial and centrifugal compressors, combustors, axial and radial turbines, intercoolers, reheaters, regenerators and inlet/exit diffusers and nozzles. In addition, component matching and the problems associated with it will be studied. The course looks at the fundamentals of exhaust gas composition and the production of effluents. Also, future concepts in turbomachinery propulsion and energy management will be discussed. The course assumes a basic knowledge of thermodynamics and will add to the student's knowledge in such areas as compressible flow in turbomachinery, combustion analysis and emissions control. The culmination of the course is a final design project.
ENPM809V
Special Topics in Engineering; Advanced Hacking of Linux and Embedded Systems
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: ENPM691. Restriction: Permission of Maryland Applied Graduate Engineering.
This course provides an in-depth understanding of how to find flaws in Linux (both user space and kernel space) and software within embedded devices (focusing on bare-metal software/firmware and hardware-focused techniques). Students will get an inside look at how modern operating systems and embedded devices protect their programs, flaws within the protection mechanisms, and how to exploit them. Although this is an offensive-focused course, mitigations to protect the programs will also be discussed.
This course provides an in-depth understanding of how to find flaws in Linux (both user space and kernel space) and software within embedded devices (focusing on bare-metal software/firmware and hardware-focused techniques). Students will get an inside look at how modern operating systems and embedded devices protect their programs, flaws within the protection mechanisms, and how to exploit them. Although this is an offensive-focused course, mitigations to protect the programs will also be discussed.
ENPM809X
Special Topics in Engineering; Data and Algorithms
Credits:
3
Grad Meth:
Reg, Aud
The course will teach the algorithms, heuristics, and code development skills in solving numerous sorting, graph theory, string processing, and job scheduling problems.
ENPM818E
Variable Topics in Engineering; Software/Product Engineering 360: The Business of Engineering
Credits:
3
Grad Meth:
Reg, Aud
This course will introduce the various software/product business functions that drive and generate revenue for the business such as product management, product marketing, go-to-market, customer success, finance, product design, product operations and analytics, legal, etc. For each business function, key responsibilities, purpose, concepts and tools and techniques will be covered and the theory will be amplified with case-studies, industry speakers and a group project.
ENPM818J
Variable Topics in Engineering; (Real Time) Operating Systems
Credits:
3
Grad Meth:
Reg, Aud
This course covers the real time system operating systems and its main components. From understanding its applications in daily life, business, space, academia, etc. This course will carry some good examples for each section. Topics include RTOS Introduction, Process, Task and Threads, Scheduling, Concurrency, Memory Management, Virtual Memory, File Systems and I/O, Device Drivers, Virtual Machines, Basics of Dockers and CPU and Memory Benchmarking. Course will end with a final group project. Course format includes lectures, homework, Quizzes, Two midterms, final project and exam. Course carries a perfect blend of theory and programming practices to prepare students for core application development with Realtime OS. Students will acquire not only technical knowledge, but also soft skills such as collaborations, critical thinking, and time management.
ENPM818K
Variable Topics in Engineering; Embedded System and IoT Security
Credits:
3
Grad Meth:
Reg, Aud
As the deployment of embedded systems, IoT devices, and intelligent edge technologies continues to expand, the scope for security breaches and potential attacks also increases. Whether it's a compact IoT thermostat in a home or a complex interconnected system, each connected device presents one or more potential vulnerabilities that malicious actors can exploit. With countless devices already connected and an even greater number on the horizon, ensuring the security of these devices and safeguarding the generated data becomes an absolute necessity. In this course, our primary focus is on studying the security of embedded systems and IoT. Throughout the course, we extensively address current security challenges and their corresponding solutions, spanning hardware, software, architectural, and network domains inherent to both embedded systems and IoT landscapes. The core principles of cryptography and its practical applications within interconnected embedded systems will be covered. Additionally, the course will conduct a thorough exploration of specific attack scenarios such as Spectre and Meltdown, gaining a comprehensive grasp of the contemporary strategies employed by modern embedded systems to mitigate these vulnerabilities. The overarching objective of this course is to provide students with a solid foundational understanding of security within the realm of embedded systems and the expansive scope of the IoT.
ENPM818N
Variable Topics in Engineering; Cloud Computing
Credits:
3
Grad Meth:
Reg, Aud
This course provides an in-depth exploration of cloud computing concepts, technologies, and applications. Students will learn about the fundamentals of cloud computing, its architecture, deployment models, and various services offered by major cloud providers. Practical hands-on exercises and real-world case studies will enable students to apply their knowledge to develop and deploy applications in the cloud. Overall, students will gain a comprehensive understanding of cloud computing concepts, technologies, and best practices, enabling them to design, implement, and manage applications and services in cloud environments.
ENPM818O
Variable Topics in Engineering; Networks and Protocols for Cloud Engineering
Credits:
3
Grad Meth:
Reg, Aud
Restriction: Permission of Maryland Applied Graduate Engineering.
This course lays the foundation for networking principles and protocols applicable for cloud engineers. Starting with an introduction to layered architecture of data networks and introduces the concept of protocols and services of TCP/IP networks. It then progresses to provide details of operation of each layer of the protocol stack. These include detailed discussion on error detection, reliable data transfer, Local Area Networks (LANs), multiple access protocols, routing algorithms, flow control and congestion control mechanisms. Students will also learn 5G wireless data networks and protocols as it pertains to cloud access, including Internet of Things (IoT) protocols, Software Defined Networking, Network Function Virtualization concepts, IP Multicast and Mobile IP. As part of the course work, the students will learn how to capture and analyze real world network traffic.
This course lays the foundation for networking principles and protocols applicable for cloud engineers. Starting with an introduction to layered architecture of data networks and introduces the concept of protocols and services of TCP/IP networks. It then progresses to provide details of operation of each layer of the protocol stack. These include detailed discussion on error detection, reliable data transfer, Local Area Networks (LANs), multiple access protocols, routing algorithms, flow control and congestion control mechanisms. Students will also learn 5G wireless data networks and protocols as it pertains to cloud access, including Internet of Things (IoT) protocols, Software Defined Networking, Network Function Virtualization concepts, IP Multicast and Mobile IP. As part of the course work, the students will learn how to capture and analyze real world network traffic.
ENPM818T
Variable Topics in Engineering; Data Storage and Databases
Credits:
3
Grad Meth:
Reg, Aud
Restriction: Permission of Maryland Applied Graduate Engineering.
ENPM818V
Variable Topics in Engineering; 5G/6G for Embedded Systems
Credits:
3
Grad Meth:
Reg, Aud
This course provides an in-depth understanding of advanced technologies and design principles used in 5G mobile and IoT networks and devices based on 3GPP Standards. The course covers 4G/LTE and LTE-M, Narrow Band IoT (NB-IoT) and 5G New Radio (NR) and NR-Lite standards, as well as their advanced features for new vertical applications and evolution to upcoming 6G systems.
Flagship Institution of the University System of Maryland
University of Maryland, College Park, MD 20742, USA
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301.405.1000
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