MSIM 406/506 Introduction to Distributed Simulation (3

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-undergraduate
Source: catalog.odu.edu

MSIM 408/508 Introduction to Game Development ()3

An introductory course focused on game development theory and modern practices with emphasis on educational game development. Topics include game architecture, computer graphics theory, user interaction, audio, high level shading language, animation, physics, and artificial intelligence. The developed games can run on a variety of computer, mobile, and gaming platforms.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-undergraduate
Source: catalog.odu.edu
Prerequisite: CS 361 or MSIM 331 or ECE 348

MSIM 410/510 Model Engineering ()3

The goal of this course is to develop understanding of the various modeling paradigms appropriate for capturing system behavior and conducting digital computer simulation of many types of systems. The techniques and concepts discussed typically include UML, concept graphs, Bayesian nets, Markov models, Petri nets, system dynamics, Bond graphs, etc. Students will report on a particular technique and team to implement a chosen system model. Pre- or corequisite: MSIM 320 or ECE 320

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-undergraduate
Source: catalog.odu.edu
Prerequisite: MSIM 205 or ECE 306

MSIM 416/516 Cyber Defense Fundamentals ()3

This course focuses on cybersecurity theory, information protection and assurance, and computer systems and networks security. The objectives are to understand the basic security models and concepts, learn fundamental knowledge and tools for building, analyzing, and attacking modern security systems, and gain hands-on experience in cryptographic algorithms, security fundamental principles, and Internet security protocol and standards.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-undergraduate
Source: catalog.odu.edu
Prerequisite: ECE 355 or MSIM 470

MSIM 419/519 Cyber Physical Systems Security ()3

Cyber Physical Systems (CPS) integrate computing, networking, and physical processes. The objectives of this course are to learn the basic concepts, technologies and applications of CPS, understand the fundamental CPS security challenges and national security impact, and gain hands-on experience in CPS infrastructures, critical vulnerabilities, and practical countermeasures. Cross-listed with ECE 419/CYSE 419. Old Dominion University Undergraduate Catalog 2025-2026 932

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-undergraduate
Source: catalog.odu.edu
Prerequisite: CS 150 or ENGN 150
Alias: ECE 419

MSIM 441/541 Computer Graphics and Visualization (3

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-undergraduate
Source: catalog.odu.edu

MSIM 451/551 Analysis for Modeling and Simulation (3

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-undergraduate
Source: catalog.odu.edu

MSIM 462/562 Introduction to Medical Image Analysis (3

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-undergraduate
Source: catalog.odu.edu

MSIM 463/563 Design and Modeling of Autonomous Robotic

Systems (3 Credit Hours) This course focuses on autonomous robotics systems with emphasis on using modeling and simulation (M&S) for system level design and testing. Fundamental concepts associated with autonomous robotic systems are discussed. Course topics include: robotic control, architectures, and sensors as well as more advanced concepts such as error propagation, localization, mapping and autonomy. Design strategies that leverage M&S to accelerate the development and testing of sophisticated autonomous robotic algorithms for individual or teams of robots are covered.

Subject: MSIM
Type: course
Edition: 2025-2026-undergraduate
Source: catalog.odu.edu
Prerequisite: CS 150 or ENGN 150

MSIM 470/570 Foundations of Cyber Security ()3

Course provides an overview of theory, tools and practice of cyber security and information assurance through prevention, detection and modeling of cyber attacks and recovery from such attacks. Techniques for security modeling, attack modeling, risk analysis and cost-benefit analysis are described to manage the security of cyber systems. Fundamental principles of cyber security and their applications for protecting software and information assets of individual computers and large networked systems are explored. Anatomy of some sample attacks designed to compromise confidentiality, integrity and availability of cyber systems are discussed.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-undergraduate
Source: catalog.odu.edu
Prerequisite: CS 150 or ENGN 150 and junior standing

MSIM 474/574 Transportation Data Analytics ()3

This course presents the basic techniques for transportation data analytics. It will discuss statistical modeling, prominent algorithms, and visualization approaches to analyze both small- and large-scale data sets generated from transportation systems. Practices of using different data for various real- world traffic/transportation applications and decision making will also be discussed., STAT 330 or ECE 304); any programming language such as C, Python or Java is beneficial but not required.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-undergraduate
Source: catalog.odu.edu
Prerequisite: Basic probability and statistics (e.g

MSIM 480/580 Introduction to Artificial Intelligence ()3

Introduction to concepts, principles, challenges, and research in major areas of artificial intelligence. Areas of discussion include: natural language and vision processing, machine learning, machine logic and reasoning, robotics, expert and mundane systems. Laboratory work required.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-undergraduate
Source: catalog.odu.edu
Prerequisite: Instructor approval

MSIM 495/595 Topics in Modeling and Simulation Engineering (1-3

Subject: MSIM
Type: course
Edition: 2025-2026-undergraduate
Source: catalog.odu.edu

MSIM 496/596 Topics in Modeling and Simulation Engineering (1-3

Subject: MSIM
Type: course
Edition: 2025-2026-undergraduate
Source: catalog.odu.edu

MSIM 497/597 Independent Study in Modeling and Simulation

Engineering (3 Credit Hours) Individual analytical, computational, and/or experimental study in an area seleted by the student. Supervised and approved by the advisor. MSL - Military Science and

Subject: MSIM
Type: course
Edition: 2025-2026-undergraduate
Source: catalog.odu.edu
Prerequisite: Instructor approval

MSIM 506Introduction to Distributed Simulation ()3

ter An introduction to distributed simulation. Topics include motivation for using distributed simulation, distributed simulation architectures, m time management issues, and distributed simulation approaches. Current standards for distributed simulation are presented.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Prerequisite: ECE 348

MSIM 508Introduction to Game Development ()3

An introductory course focused on game development theory and modern practices with emphasis on educational game development. Topics include game architecture, computer graphics theory, user interaction, audio, high level shading language, animation, physics, and artificial intelligence. The developed games can run on a variety of computer, mobile, and gaming platforms.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Prerequisite: CS 361 or ECE 348 or instructor approval

MSIM 510Model Engineering ()3

The goal of this course is to develop understanding of the various modeling paradigms appropriate for capturing system behavior and conducting digital computer simulation of many types of systems. The techniques and concepts discussed typically include UML, concept graphs, Bayesian nets, Markov models, Petri nets, system dynamics, Bond graphs, etc. Students will report on a particular technique and team to implement a chosen system model. (cross-listed with ECE 510)

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Alias: ECE 510

MSIM 516Cyber Defense Fundamentals ()3

This course focuses on cybersecurity theory, information protection and assurance, and computer systems and networks security. The objectives are to understand the basic security models and concepts, learn fundamental knowledge and tools for building, analyzing, and attacking modern security systems, and gain hands-on experience in cryptographic algorithms, security fundamental principles, and Internet security protocol and standards. Cross- listed with ECE 516.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 519Cyber Physical Systems Security ()3

Cyber Physical Systems (CPS) integrate computing, networking, and physical processes. The objectives of this course are to learn the basic concepts, technologies and applications of CPS, understand the fundamental CPS security challenges and national security impact, and gain hands-on experience in CPS infrastructures, critical vulnerabilities, and practical countermeasures. Cross-listed with ECE 519.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Alias: ECE 519

MSIM 541Computer Graphics and Visualization ()3

The course provides a practical treatment of computer graphics and visualization with emphasis on modeling and simulation applications. It covers digital image and signal processing basics such as sampling and discrete Fourier transform, computer graphics fundamentals, visualization principles, and software architecture for visualization in modeling and simulation. Written communication and information literacy skills are stressed in this course. (Cross listed with ECE 506.)(Offered fall).

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Prerequisite: a grade of C or better in CS 361, or ECE 348, or MSIM 603

MSIM 551Analysis for Modeling and Simulation3

or MSIM 751 Advanced Analysis for Modeling and Simulation Advanced Modeling Course (See List Below) 3 Advanced Simulation Course (See List Below) 3 Advanced Modeling Course Examples (3 credits)

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 562Introduction to Medical Image Analysis ()3

Introduction to basic concepts in medical image analysis. Medical image registration, segmentation, feature extraction, and classification are discussed. Basic psychophysics, fundamental ROC analysis and FROC methodologies are covered. Cross-listed with ECE 462/ECE 562.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Alias: ECE 462

MSIM 563Design and Modeling of Autonomous Robotic Systems (3

Subject: MSIM
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 570Foundations of Cyber Security3

MSIM/ENMA 670 Cyber Systems Engineering 3

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 574Transportation Data Analytics ()3

This course presents the basic techniques for transportation data analytics. It will discuss statistical modeling, prominent algorithms, and visualization approaches to analyze both small- and large-scale data sets generated from transportation systems. Practices of using different data for various real- world traffic/transportation applications and decision making will also be discussed.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Prerequisite: STAT 330 or ECE 304

MSIM 580Introduction to Artificial Intelligence ()3

Introduction to concepts, principles, challenges, and research in major areas of artificial intelligence. Areas of discussion include: natural language and vision processing, machine learning, machine logic and reasoning, robotics, expert and mundane systems. Laboratory work required.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Prerequisite: Instructor approval

MSIM 595Topics in Modeling and Simulation Engineering (3

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 596Topics in Modeling and Simulation Engineering (1-3

Subject: MSIM
Credits (min): 1
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 597Independent Study in Modeling and Simulation

Engineering (3 Credit Hours) Individual analytical, computational, and/or experimental study in an area selected by the student. Supervised and approved by the advisor.

Subject: MSIM
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 601Introduction to Modeling and Simulation3

or MSIM 602 Simulation Fundamentals

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 602Simulation Fundamentals ()3

An introduction to the modeling and simulation discipline. Introduction to discrete event simulation (DES) including simulation methodology, input data modeling, output data analysis, and an overview of DES tools. Introduction to continuous simulation (CS) including simulation methodology, differential equation models, numerical solution techniques, and an overview of CS tools. probability & statistics; and computer literacy

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Prerequisite: graduate standing; undergraduate preparation in calculus and

MSIM 603Simulation Design ()3

Course develops the computer software skills necessary for the design and development of simulation software. Topics covered include software architectures, software engineering, software design, object-oriented programming, abstract data types and classes, data structures, algorithms, and testing and debugging techniques. Software design and development of simulation systems (discrete-event, continuous, and Monte Carlo) are emphasized. course Old Dominion University Graduate Catalog 2025-2026 576

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Prerequisite: MSIM 602 and an introductory computer programming

MSIM 607Machine Learning I ()3

Course provides a practical treatment of design, analysis, implementation and applications of algorithms. Topics include multiple learning models: linear models, neural networks, support vector machines, instance-based learning, Bayesian learning, genetic algorithms, ensemble learning, reinforcement learning, unsupervised learning, etc. (Cross listed with ECE 607)

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 660System Architecture and Modeling ()3

Students will learn the essential aspects of the system architecture paradigm through environment and analysis of multiple architecture framework and enterprise engineering, such as IDEFO, TOGAF, DODAF and OPM. Emphasis on system modeling and enterprise engineering. (Cross listed with ENMA 660)

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 667Cooperative Education ()1-3

Student participation for credit based on academic relevance of the work experience, criteria, and evaluation procedures. Available for pass/fail grading only. May be repeated for credit.

Subject: MSIM
Credits (min): 1
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 668Internship ()1-3

Academic requirements will be established by the department and will vary with the amount of credit desired. Allows students an opportunity to gain short duration career-related experience. be provided by the Monarch Internship and Co-Op Office in the semester prior to enrollment

Subject: MSIM
Credits (min): 1
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Prerequisite: Approval by department is required; Additional support may

MSIM 669Practicum ()1-3

Academic requirements will be established by the graduate program director and will vary with the amount of credit desired. Allows students an opportunity to gain short-duration career related experience. Student is usually employed–this is an additional project beyond the duties of the student’s employment.

Subject: MSIM
Credits (min): 1
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 670Cyber Systems Engineering ()3

This course provides an overview of functioning of cyber systems including how a computer interacts with the outside world. The composition of critical infrastructure and functioning of different engineered systems that form critical infrastructure are discussed. Mutual dependence and interactions between cyber systems and other engineered systems and the resulting security risks are also explored. (Cross-listed with ENMA 670.)

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Alias: ENMA 670

MSIM 673Threat Modeling and Risk Analysis ()3

This course discusses how to develop cyber threat models using attack graphs/trees, STRIDE, Universal Modeling Language (UML), attack graphs/ trees and common of risk analysis tools. Course also discusses the need for quantitative security analysis and formal validation of security models and basic principles of formal model validation. (Cross-listed with ENMA 673.)

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Alias: ENMA 673

MSIM 695Topics in Modeling and Simulation ()3

Special topics of interest with emphasis placed on recent developments in modeling and simulation.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 697Independent Study in Modeling and Simulation (3

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 699Thesis ()1-6

Research leading to the Master of Science thesis.

Subject: MSIM
Credits (min): 1
Credits (max): 6
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Prerequisite: permission of instructor and graduate program director

MSIM 702Systemic Decision Making ()3

As machine age problems have given way to systems age messes, the underlying complexity associated with understanding these situations has increased exponentially. Accordingly, the methods we use to address these situations must evolve as well. This course will introduce students to a method for thinking holistically about problems and messes conceptually founded in systems theory. This paradigm, known as systemic thinking, will be contrasted with traditional systematic thinking, and practical guidelines for the deployment of a systemic thinking approach will be provided. This paradigm will increase the student's ability to make rational decisions in complex environments. (Cross listed with ENMA 702). 577 MSIM - Modeling and Simulation

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 703Optimization Methods ()3

Covers advanced methods in Operations Research and Optimization. Focus will be on developing models and their applications in different domains including manufacturing and service. Modern optimization tools will be used to implement models for case studies, projects and research papers. The knowledge of programming and spreadsheets is expected. Contact instructor for more details. (Cross-listed with ENMA 703).

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Alias: ENMA 703

MSIM 711Finite Element Analysis ()3

The purpose of the course is to provide an understanding of the finite element method (FEM) as derived from an integral formulation perspective. The course will demonstrate the solutions of (1-D and 2-D) continuum mechanics problems such as solid mechanics, fluid mechanics and heat transfer.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Prerequisite: permission of the instructor

MSIM 715High Performance Computing Simulation

and Data Analytics

Subject: MSIM
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 722Cluster Parallel Computing ()3

This course provides detailed numerical step-by-step procedures to exploit parallel and sparse computation under MPI (Message Passing Interface) computer environments. Large-scale engineering/science applications are emphasized. Simultaneous linear equations are discussed.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 725Principles of Combat Modeling and Simulation (3

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 730Simulation Formalisms ()3

The focus of the course is on identification and investigation of mathematical and logical structures that form the foundation for computational simulation. Topics include: foundations of simulation theory in logic, discrete mathematics, and computability; simulation formalisms, including DEVS; interoperability protocols; and computational complexity.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 741Principles of Visualization ()3

Well-designed graphical media capitalizes on human facilities for processing visual information and thereby improves comprehension, memory, inference, and decision making. This course teaches techniques and algorithms for creating effective visualizations based on principles and techniques from graphic design, visual art, perceptual psychology and cognitive science. Both users and developers of visualization tools and systems will benefit from this course.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 742Synthetic Environments ()3

The course covers the theory and techniques for building effective and efficient synthetic environments for modeling and simulation applications. Topics include physics, artificial intelligence, virtual reality, and advanced modeling and rendering. The emphasis is on producing visually realistic synthetic environments based on effective approximations of physics and other related principles.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Prerequisite: MSIM 541 or equivalent

MSIM 751Advanced Analysis for Modeling and3

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 762Applied Medical Image Analysis ()3

Course explores hands-on exposure to state-of-the-art algorithms in medical image analysis, which builds on open-source software (Insight Segmentation and Registration Toolkit - ITK), as well as the principles of medical image acquisition in the modalities of clinical interest. Medical imaging modalities - X-rays, CT, and MRI/ITK image pipeline; image enhancement, feature detection; segmentation - basic techniques, feature-based classification and clustering, graph cuts, active contour and surface models; surface and volume meshing; registration - transformations, similarity criteria; shape and appearance models are all explored and discussed in this course.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Prerequisite: Knowledge of C++ and object-oriented programming

MSIM 772Modeling Global Events ()3

Modeling Global Events introduces modeling and simulation as a tool for expanding our understanding of events that have shaped the global environment of the 21st century. Students will review real-world case studies and then analyze these case studies via system dynamics, agent-based, social network, and game theory modeling paradigms. This course is designed to develop empirical research skills, conceptual modeling expertise, and model construction. Students will understand how to analyze, verify, and validate a model.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 774Transportation Network Flow Models ()3

This course provides a rigorous introduction to transportation network modeling, with special emphasis on network equilibrium problems. Topics include: elementary graph theory, shortest path problem nonlinear optimization, optimization of univariate functions, deterministic and stochastic user equilibrium. (Cross-listed with CEE 774).

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Alias: CEE 774

MSIM 775Transportation Network Algorithms ()3

Fundamental models and algorithms in optimization, stochastic modeling and parallel computing will be discussed and illustrated with transportation applications. (Cross-listed with CEE 775)

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Alias: CEE 775

MSIM 776Simulation Modeling in Transportation Networks (3

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 780Machine Learning II ()3

Advanced topics in machine learning and pattern recognition systems. Data reduction techniques including principle component analysis, independent component analysis and manifold learning. Introduction to sparse coding and deep learning for data representation and feature extraction. (Cross-listed with ECE 780)

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Prerequisite: MSIM 607 or equivalent
Alias: ECE 780

MSIM 795Topics in Modeling and Simulation ()3

Special topics of interest with emphasis placed on recent developments in modeling and simulation.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 797Independent Study in Modeling and Simulation (3

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 802Systemic Decision Making ()3

As machine age problems have given way to systems age messes, the underlying complexity associated with understanding these situations has increased exponentially. Accordingly, the methods we use to address these situations must evolve as well. This course will introduce students to a method for thinking holistically about problems and messes conceptually founded in systems theory. This paradigm, known as systemic thinking, will be contrasted with traditional systematic thinking, and practical guidelines for the deployment of a systemic thinking approach will be provided. This paradigm will increase the student's ability to make rational decisions in complex environments. (Cross listed with ENMA 802).

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 803Optimization Methods ()3

Covers advanced methods in Operations Research and Optimization. Focus will be on developing models and their applications in different domains including manufacturing and service. Modern optimization tools will be used to implement models for case studies, projects and research papers. The knowledge of programming and spreadsheets is expected. Contact instructor for more details. (Cross-listed with ENMA 803).

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Alias: ENMA 803

MSIM 811Finite Element Analysis ()3

The purpose of the course is to provide an understanding of the finite element method (FEM) as derived from an integral formulation perspective. The course will demonstrate the solutions of (1-D and 2-D) continuum mechanics problems such as solid mechanics, fluid mechanics and heat transfer.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Prerequisite: permission of the instructor

MSIM 815High Performance Computing Simulation3

and Data Analytics

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 822Cluster Parallel Computing ()3

This course provides detailed numerical step-by-step procedures to exploit parallel and sparse computation under MPI (Message Passing Interface) computer environments. Large-scale engineering/science applications are emphasized. Simultaneous linear equations are discussed.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 825Principles of Combat Modeling and3

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 830Simulation Formalisms ()3

The focus of the course is on identification and investigation of mathematical and logical structures that form the foundation for computational simulation. Topics include: foundations of simulation theory in logic, discrete mathematics, and computability; simulation formalisms, including DEVS; interoperability protocols; and computational complexity.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 841Principles of Visualization ()3

Well-designed graphical media capitalizes on human facilities for processing visual information and thereby improves comprehension, memory, inference, and decision making. This course teaches techniques and algorithms for creating effective visualizations based on principles and techniques from graphic design, visual art, perceptual psychology and cognitive science. Both users and developers of visualization tools and systems will benefit from this course.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 842Synthetic Environments ()3

The course covers the theory and techniques for building effective and efficient synthetic environments for modeling and simulation applications. Topics include physics, artificial intelligence, virtual reality, and advanced modeling and rendering. The emphasis is on producing visually realistic synthetic environments based on effective approximations of physics and other related principles.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Prerequisite: MSIM 541 or equivalent

MSIM 851Advanced Analysis for Modeling and3

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 862Applied Medical Image Analysis ()3

Course explores hands-on exposure to state-of-the-art algorithms in medical image analysis, which builds on open-source software (Insight Segmentation and Registration Toolkit - ITK), as well as the principles of medical image acquisition in the modalities of clinical interest. Medical imaging modalities - X-rays, CT, and MRI/ITK image pipeline; image enhancement, feature detection; segmentation - basic techniques, feature-based classification and clustering, graph cuts, active contour and surface models; surface and volume meshing; registration - transformations, similarity criteria; shape and appearance models are all explored and discussed in this course.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 872Modeling Global Events ()3

Modeling Global Events introduces modeling and simulation as a tool for expanding our understanding of events that have shaped the global environment of the 21st century. Students will review real-world case studies and then analyze these case studies via system dynamics, agent-based, social network, and game theory modeling paradigms. This course is designed to develop empirical research skills, conceptual modeling expertise, and model construction. Students will understand how to analyze, verify, and validate a model.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 874Transportation Network Flow Models ()3

This course provides a rigorous introduction to transportation network modeling, with special emphasis on network equilibrium problems. Topics include: elementary graph theory, shortest path problem nonlinear optimization, optimization of univariate functions, deterministic and stochastic user equilibrium. (Cross-listed with CEE 874).

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Alias: CEE 874

MSIM 875Transportation Network Algorithms ()3

Fundamental models and algorithms in optimization, stochastic modeling and parallel computing will be discussed and illustrated with transportation applications. (Cross-listed with CEE 875)

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Alias: CEE 875

MSIM 876Simulation Modeling in Transportation3

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 880Machine Learning II ()3

Advanced topics in machine learning and pattern recognition systems. Data reduction techniques including principle component analysis, independent component analysis and manifold learning. Introduction to sparse coding and deep learning for data representation and feature extraction. (Cross-listed with ECE 880)

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Prerequisite: MSIM 607 or equivalent
Alias: ECE 880

MSIM 892Doctor of Engineering Project ()1-9

Directed individual study applying advanced level technical knowledge to identify, formulate and solve a complex, novel problem in Modeling and Simulation.

Subject: MSIM
Credits (min): 1
Credits (max): 9
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 895Topics in Modeling and Simulation ()3

Special topics of interest with emphasis placed on recent developments in modeling and simulation.

Subject: MSIM
Credits (min): 3
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 897Independent Study in Modeling and Simulation (1-3

Subject: MSIM
Credits (min): 1
Credits (max): 3
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 898Research in Modeling and Simulation ()1-12

Supervised research prior to passing Ph.D. candidacy exam.

Subject: MSIM
Credits (min): 1
Credits (max): 12
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Prerequisite: permission of the instructor and graduate program director

MSIM 899Dissertation ()1-12

Directed research for the doctoral dissertation.

Subject: MSIM
Credits (min): 1
Credits (max): 12
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu
Prerequisite: permission of the instructor and graduate program director

MSIM 998Master's Graduate Credit ()1

This course is a pass/fail course for master's students in their final semester. It may be taken to fulfill the registration requirement necessary for graduation. All master's students are required to be registered for at least one graduate credit hour in the semester of their graduation. 579 MUSA - Music, Applied

Subject: MSIM
Credits (min): 1
Credits (max): 1
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu

MSIM 999Doctoral Graduate Credit ()1

This course is a pass/fail course doctoral students may take to maintain active status after successfully passing the candidacy examination. All doctoral students are required to be registered for at least one graduate credit hour every semester until their graduation. MUSA - Music, Applied

Subject: MSIM
Credits (min): 1
Credits (max): 1
Type: course
Edition: 2025-2026-graduate
Source: catalog.odu.edu