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Courses - Spring 2022
ENPM
Engineering, Professional Masters Department Site
ENPM601
(Perm Req)
Analog and Digital Communication Systems
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: ENPM600; or students who have taken courses with comparable content may contact the department.
Restriction: Permission of Maryland Applied Graduate Engineering.
Analog modulation methods including AM, DSBSC-AM, SSB, and QAM; effects of noise in analog modulation systems. Digital communication methods for the infinite bandwidth additive white Gaussian noise channel: PAM, QAM, PSK, FSK modulation; optimum receivers using the MAP principle; phase- locked loops; error probabilities. Digital communication over bandlimited channels: intersymbol interference and Nyquist's criterion, adaptive equalizers, symbol clock and carrier recovery systems, trellis coding. Spread spectrum systems: direct sequence modulation and frequency hopping.
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; parity and cyclic redundancy check codes; retransmission request protocols; Markov chains and queuing models for delay analysis; multiaccess communication, local area networks, Ethernet and Token Ring standards; routing, flow control, internetworking; higher layer functions and protocols. Software tools for network simulation and performance analysis will be used.
ENPM610
Digital VLSI Design
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: Must have completed undergraduate courses in solid state devices and digital/analog circuit design.
VLSI design with emphasis on CMOS technology. Logic functions using CMOS switches; MOSFET characteristics; BiCMOS, dynamic logic and domino logic structures; PLA's, FPLA's, and gate arrays; layout via MAGIC, use of VHDL, IRSIM, and Spice; design rules and verification techniques; packaging techniques; chip design options: standard cells, sea-of-gates, full custom; design capture and verification tools; design of CMOS datapaths, memory, and control; possible fabrication via MOSIS.
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.
Aspects of software development after coding is completed will be covered. Students will understand the various levels of testing, techniques for creating test data, how to manage test cases and scenarios, testing strategies and methods, testing batch, client/server, real-time, and Internet systems, and the development of an effective test plan. Software maintenance will include the creation of easily maintained software; preventive maintenance, corrective maintenance, and enhancements; configuration management practices; and assuring quality in software manintenance.
ENPM615
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: Must have completed undergraduate courses in logic design, computer architecture, and programming.
Introduction to embedded systems design and evaluation: requirements, specification, architecture, hardware and software components, integration and performance evaluation. Topics include instruction sets, CPU, embedded computing platform, program design and analysis, operating systems, hardware accelators, multiprocessors, networks, and system analysis. Real-life embedded systems design examples will be used throughput the course to illustrate these concepts.
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.
ENPM650
Solar Thermal Energy Systems
Credits: 3
Grad Meth: Reg, Aud
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
The applications selected will vary widely: from cooling of electronics to prevention of fog and stalagmite formation in ice rinks. Multi-mode (i.e. simultaneous conduction, convection, radiation, mass transfer) problems will be emphasized. Lectures on basic principles, followed by assignments in which students formulate solutions and explain results.
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
Credit only granted for: ENPM661 or ENPM808C.
Formerly: ENPM808C.
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++ 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. This course will have invited presentations from experts in the field. The course will culminate in the development of a simulation-based control system that will address challenges presented in the Agile Robotics for Industrial Automation Competition (ARIAC)
ENPM664
(Perm Req)
Embedded System Hacking and Security
Credits: 3
Grad Meth: Reg, Aud
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.
ENPM672
(Perm Req)
Fundamentals for Thermal Systems
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: Undergraduate engineering, physics or chemistry degree.
Restriction: Permission of Maryland Applied Graduate Engineering.
Included in this course is an introduction to thermodynamics, fluid mechanics and heat transfer. Emphasis is on gaining an understanding of the physical concepts through the solving of numerical problems associated with simple thermal fluid processes and cycles. Both ideal gases and multiphase fluids will be considered as the working fluids.
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.
Credit only granted for: ENPM808D or ENPM685.
Formerly: ENPM808D.
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
Credit only granted for: ENPM808E or ENPM686.
Formerly: ENPM808E.
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
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). Robot Learning covers the application of learning techniques including Reinforcement Learning, Learning from Demonstration, and Robot Shaping that may be used with a variety of machine learning paradigms for which data is used to generate (through induction) models that are then used by the robot to perform tasks. A wide variety of paradigms are available to generate models (e.g., CMAC, KNN, MLP, lazy learning, LWR, RBF, deep networks). These learning techniques and paradigms are then combined with traditional robotic control approaches (e.g., motor schema, behavior-based, direct and inverse methods) to create controllers to control the robots while operating in real-world environments. 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
Prerequisite: ENEE150; or students who have taken courses with comparable content may contact the department.
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.
ENPM695
Secure Operating Systems
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: ENPM691 and CMSC106; or permission of instructor. And permission of ENGR-CDL-Office of Advanced Engineering Education.
Credit only granted for: ENPM695 or ENPM808B.
Formerly: ENPM808B.
Additional information: This course assumes knowledge of C programming and a previous operating systems class or knowledge in various issues such as process management, process synchronization, the critical section problem, CPU scheduling, memory management, secondary storage management.
Operating systems are the basic building block on which programmers build applications and on which security-minded professionals rely, whether they are monitoring activity on a computer, testing applications for security, or determining how malicious code affected their network. This course covers advanced topics in operating systems including process management and communication, remote procedure calls, memory management (including shared memory and virtual memory), checkpointing and recovery, file system, I/O subsystem and device management, distributed file systems and security. The course consists of reading and discussing research papers and includes a course project.
ENPM696
(Perm Req)
Reverse Software Engineering
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: ENPM691 and CMSC106; or permission of instructor. And permission of ENGR-CDL-Office of Advanced Engineering Education.
Credit only granted for: ENPM808F or ENPM696.
Formerly: ENPM808F.
An in-depth understanding of software reverse engineering concepts and hands-on training with reverse engineering tools, including disassemblers, decompilers, and code analyzers. Students will become familiar with both low-level software and the x86 instruction set through binary reversing sessions. This course also provides insights into many subjects such as system security, source code analysis, software design, and program understanding that will be beneficial in a variety of fields.
ENPM697
(Perm Req)
Secure Software Testing and Construction
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: Permission of instructor; or (ENPM691 and CMSC106). And permission of ENGR-CDL-Office of Advanced Engineering Education.
Credit only granted for: ENPM808K or ENPM697.
Formerly: ENPM808K.
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
ENPM808B
Advanced Topics in Engineering; Advanced Mobile Broadband Communications Systems and Standards
Credits: 3
Grad Meth: Reg, Aud
ENPM808E
Advanced Topics in Engineering; Managing Software Engineering Projects
Credits: 3
Grad Meth: Reg, Aud
ENPM808L
Advanced Topics in Engineering; Analytics for Decision Support
Credits: 3
Grad Meth: Reg, Aud
This course focuses on practical methods to extract meaningful insights from (internal and external) data sources and to communicate those findings to stakeholders. Students will use relevant tools, technologies and approaches for data manipulation, statistical analysis, predictive modeling, and visualization in case studies/projects. Students will use analytics tools and scripting languages for the implementation of projects. Some example languages/tools introduced are: Python and Tableau. Prior knowledge of scripting languages such as Python or R will be helpful - but not required.
ENPM808R
Advanced Topics in Engineering; Machine Learning Techniques Applied to Cybersecurity
Credits: 3
Grad Meth: Reg, Aud
ENPM808V
Advanced Topics in Engineering; Quality Management Systems and Lean Six Sigma
Credits: 3
Grad Meth: Reg, Aud
ENPM808Y
Advanced Topics in Engineering; Fundamental Concepts of AI and Machine Learning, and Their Applications
Credits: 3
Grad Meth: Reg, Aud
ENPM809C
Special Topics in Engineering; Applied Statistics
Credits: 3
Grad Meth: Reg, Aud
ENPM809D
Special Topics in Engineering; Applied Optimization & Machine Learning
Credits: 3
Grad Meth: Reg, Aud
ENPM809E
Special Topics in Engineering; Python Applications for Robotics
Credits: 3
Grad Meth: Reg, Aud
ENPM809T
(Perm Req)
Special Topics in Engineering; Autonomous Robotics
Credits: 3
Grad Meth: Reg, Aud