Courses - Spring 2024
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.
ENPM624
Renewable Energy Applications
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: Knowledge of thermodynamics, fluid mechanics, and heat transfer.
Credit only granted for: ENPM624 or ENME701.
Thermodynamics and heat transfer of renewable energy sources for heating, power generation and transportation. Wind energy, solar thermal, photovoltaic, biomass, waste burning, and hydropower. Broad overview of the growing use of renewable energy sources in the world economy with detailed analysis of specific applications.
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.
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.
ENPM671
Advanced Mechanics of Materials
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: Undergraduate level knowledge of mechanics of materials.
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: 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.
ENPM695
Secure Operating Systems
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: ENPM691 and CMSC106; or permission of instructor.
Restriction: Permission of Maryland Applied Graduate Engineering.
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.
ENPM697
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.
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.
ENPM808E
Advanced Topics in Engineering; Underwater Robot Perception
Credits:
3
Grad Meth:
Reg, Aud
Prerequisite: ENPM673.
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.
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.
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.
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.
ENPM808Z
Advanced Topics in Engineering; Cognitive Robotics
Credits:
3
Grad Meth:
Reg, Aud
Cognitive Robotics explores the application of human cognitive intelligence to the design and development of intelligent robots. The course delves into the fundamental principles of human cognitive intelligence and its integration with robotics and machine learning. Students will learn to develop cognitive robot learning architectures and implement them using simulators like Pybullet, NVIDA Issac-Gym, and Meta Habitat 2.0. Through engaging class projects, students will apply their newly acquired knowledge to solve novel, challenging and practically useful problems, enabling them to make meaningful contributions to the field. This uniqueopportunity to bridge the gap between cognitive science and robot learning that empowers students to develop smarter and more capable robotic systems.
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.
ENPM818I
Variable Topics in Engineering; Embedded Software Design and Optimization
Credits:
3
Grad Meth:
Reg, Aud
This course covers the design and optimization of stable, maintainable, and secure embedded software systems. The main study topics include: Software engineering design and documentation artifacts; Information assurance and cybersecurity; CPU architectures, system components, and development tools; Operating system details; Programming models and tools; IO busses and networking protocols; and Low-level optimization techniques. Students will acquire not only technical knowledge, but also soft skills such as communication, collaborations, critical thinking, leadership, negotiation, and time management.
ENPM818L
Variable Topics in Engineering; Low Power Design for Embedded Systems
Credits:
3
Grad Meth:
Reg, Aud
Fundamentals of power dissipation, low power architectures, and runtime management techniques, edge computing, approximate computing, energy harvesting and associated projects
ENPM818O
Variable Topics in Engineering; Networks and Protocols for Cloud Engineering
Credits:
3
Grad Meth:
Reg, Aud
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.
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University of Maryland, College Park, MD 20742, USA
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