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Courses - Spring 2023
ENPM
Engineering, Professional Masters Department Site
ENPM602
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: ENEE324; or students who have taken courses with comparable content may contact the department.
Principles of network design, circuit switching and packet switching, OSI Reference Model; wireless data network design, error detection and correction codes; retransmission request protocols; MAC layer protocols, Markov chains and queuing models for delay analysis; multiaccess communication, local area networks and Ethernet standards; routing, flow control, internetworking; Mobile IP, IP Multicast, TCP and higher layer functions and protocols. There will be a course project covering different aspects of data network design.
ENPM607
Computer System Design and Architecture
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: ENEE446; or students who have taken courses with comparable content may contact the department.
Principles of computer design and cost/performance factors; instruction set design and implementation, RISC vs. CISC instruction sets; control unit and pipeline design; floating-point arithmetic; memory hierarchy designs, caches, memory interleaving, virtual memory; I/O device interconnections to CPUs and main memory. Additional topics include parallel system designs, SIMD, MIMD, SPMD; interconnection networks for processors and memories; optimization of pipeline operations; superscalar architectures, power management techniques.
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
(Perm Req)
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
(Perm Req)
Software Testing & Maintenence
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.
ENPM625
Heating, Ventilation and Air Conditioning of Buildings
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: Undergraduate thermodynamics, fluid mechanics and heat transfer.
Fundamentals of heating, ventilation and air conditioning analysis and design. Thermodynamics, heat transfer and fluid mechanics principles applied to field problems. Quantitative analyses stressed. Topics include psychometrics, thermal loads, incompressible flow in ducts and pipes, heat exchangers, cooling towers, and refrigeration.
ENPM627
Environmental Risk Analysis
Credits: 3
Grad Meth: Reg, Aud
Covers fundamental aspects of environmental risk analysis and methods used to perform environmental risk analyses. Topics covered in the class include: establishing the scope of an analysis, developing alternate conceptual models, representing source term release, modeling contaminant transport in environmental media (e.g., surface water, groundwater, air), modeling food chains, conducting an exposure assessment, understanding basic human toxicology, characterizing the dose-response relationship, and effectively communicating about and managing risk. This course covers fundamental aspects of designing a risk analysis as well as common pitfalls to avoid and major sources of uncertainty in environmental risk analyses.
ENPM632
(Perm Req)
Advanced TCP/IP Networking
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: ENPM631; or permission of instructor.
Restriction: Permission of Maryland Applied Graduate Engineering.
This course builds on the topics discussed in TCP/IP Networking (ENPM 631) and provides more in depth discussion of networking and application development. Highlights include IPv6, Socket programming, Docker, Kubernetes, Helm charts, Multi-protocol Label Switching (MPLS), and Internet security.
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.
Presents the scientific and engineering basis for design, manufacture, and operation of thermal conversion technologies utilized for mobility power generation. The interface between fuel combustion chemistry and generated power are addressed. The practical aspects of design and operation of various alternatives for power are compared. The impact of choices with regard to power and fuel alternatives as well as air pollution potential are also considered.
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
(Perm Req)
Embedded System Hacking and Security
Credits: 3
Grad Meth: Reg, Aud
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.
ENPM671
Advanced Mechanics of Materials
Credits: 3
Grad Meth: Reg, Aud
Formulate and quantitatively state the mechanical/physical responses of structural components and configurations subjected to loads, temperature, pre-strains etc. The two methods of anlysis employed are the mechanics of materials approach and the theory of elasticity approach. Analysis and design of components of structural/machine systems as experienced in aeronautical, civil, mechanical and nuclear engineering.
ENPM673
Perception for Autonomous Robots
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: Proficiency in a programming language is required.
Recommended: Familiarity with Python.
Image Processing and Computer Vision techniques for Mobile Robots is taught. Three topics are covered: Image Processing (Image Enhancement, Filtering, Advanced Edge and Texture ), 3D Vision (3D Geometry from Multiple view geometry, Motion Processing and Stereo) and an Introduction to Image Segmentation and Object Recognition. Students are introduced to a number of existing software toolboxes from Vision and Robotics, and will implement a number of smaller projects in Python.
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
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
(Perm Req)
Hacking of C programs and Unix Binaries
Credits: 3
Grad Meth: Reg, Aud
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
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.
ENPM697
(Perm Req)
Secure Software Testing and Construction
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: Permission of instructor; or (ENPM691 and CMSC106).
Restriction: Must have permission of the Maryland Applied Graduate Engineering office.
As software gets more complex, there is even more potential for vulnerabilities to remain in the production version. While traditional and emerging software testing methods are very good at detecting a large majority of "bugs" in the software, modifications to the methods are necessary to ensure vulnerabilities related to security are discovered and mitigated prior to release. In industry, there is also a cost-benefit analysis that determines the limits to pre-release testing, further enforcing the need to uniquely identify security vulnerabilities, potentially prioritizing their correction over other vulnerabilities. This course will cover methods of building security in from the beginning of development and testing the resulting software to ensure security vulnerabilities are detected. The course will use a mixture of textbook principles and research papers to cover the concepts. Students will also complete a course project.
ENPM808
(Perm Req)
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.
ENPM808E
Advanced Topics in Engineering; Managing Software Engineering Projects
Credits: 3
Grad Meth: Reg, Aud
This course addresses the breadth of managing software engineering projects and 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.
ENPM808P
Advanced Topics in Engineering; Printed Electronics
Credits: 3
Grad Meth: Reg, Aud
ENPM808R
Advanced Topics in Engineering; Machine Learning Techniques Applied to Cybersecurity
Credits: 3
Grad Meth: Reg, Aud
In this course, we will introduce students to relevant unsupervised and supervised Machine Learning techniques (e.g. clustering and classification) that can be applied to Cyber Security problems. We will show and demonstrate how to transform big security-data challenges into information asymmetry advantages on the side of the defender by leveraging these techniques.
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.
ENPM808Y
Advanced Topics in Engineering; Fundamental Concepts of AI and Machine Learning, and Their Applications
Credits: 3
Grad Meth: Reg, Aud
This course covers the fundamental concepts of AI and machine learning. Students will develop solutions to concrete problems and create models and tools based on AI, think analytically about a problem using insights from AI and causal analysis, construct models and tools to deal with uncertain situations and understand the applicability of different techniques and their benefits and limitations.
ENPM808Z
Advanced Topics in Engineering; Cognitive Robotics
Credits: 3
Grad Meth: Reg, Aud
Drawing analogy to humans cognitive intelligence is beneficial for designing smarter robots. This course will cover the fundamentals of human cognitive intellegne and the connections between robotics and cognitive science. Students will design cognitive robotics learning architectures and deploy them in a simulator like Meta-Habitat 2.0.
ENPM809E
Special Topics in Engineering; Python Applications for Robotics
Credits: 3
Grad Meth: Reg, Aud
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.
ENPM809G
Special Topics in Engineering; Network Data Science
Credits: 3
Grad Meth: Reg, Aud
This course will introduce methods for analyzing and understanding the structure and function of networks, including social networks, web graphs, and sensor networks. Through real world examples, including analysis of their own networks, students will develop skills for describing and understanding the structure, patterns, and functionality of networks.
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 Design and Analysis
Credits: 3
Grad Meth: Reg, Aud
Designed to acquaint the student with the design and analysis of modern gas turbine engines for land, sea and air use.
ENPM809T
(Perm Req)
Special Topics in Engineering; Autonomous Robotics
Credits: 3
Grad Meth: Reg, Aud
This is a hand-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 kit. Information will be provided by the department when permission is requested.
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.