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Prerequisites:

• CS 122, MATH 221
• Programming skills in one or more of the following programming languages:
  • Java,
  • C, or
  • C++

Objectives:  

• Introduce computer simulation technologies and techniques, provides the foundations for the student to understand computer simulation needs, and to implement and test a variety of simulation and data analysis libraries and programs. This course focusses what is needed to build simulation software environments, and not just building simulations using preexisting packages.
• Introduce concepts of modeling layers of society's critical infrastructure networks.
• Build tools to view and control simulations and their results.

Course Catalog Description:   Fundamentals and techniques for designing and using simulation, modeling, and optimization algorithms with applications in system performance modeling, business infrastructure modeling, and distributed and parallel computing. An introduction to advanced complex systems models. (Same as IT 351)

Content: Students will be exposed to the details of modeling and simulation technologies. They will cover the following:

1. Basic Model Forms
2. Basic Simulation Approaches
3. Handling Stepped and Event-based Time in Simulations
4. Discrete versus Continuous Modelling
5. Numerical Techniques
6. Sources and Propagation of Error

Content:

• Simulation Basics
• Handling Stepped and Event-based Time in Simulations
• Discrete versus Continuous Modelling
• Numerical Techniques
• Sources and Propagation of Error
• Dynamical, Finite State, and Complex Model Simulations
• Graph or Network Transitions Based Simulations
• Actor Based Simulations
• Mesh Based Simulations
• Hybrid Simulations
• Converting to Parallel and Distributed Simulations
• Partitioning the Data
• Partitioning the Algorithms
• Handling Inter-partition Dependencies
• Probability and Statisics for Simulations and Analysis
  • Introduction to Queues and Random Noise
  • Random Variates Generation
  • Sensitivity Analysis
• Simulations Results Analysis and Viewing Tools
• Display Forms: Tables, Graphs, and Multidimensional Visualization
• Terminals, X and MS Windows, and Web Interfaces
• Validation of Model Results

In addition to the specific topics listed above, current developments and student or instructor interests may drive the selection of other topics to be covered in the course.

Assignments:   Assignments will reinforce lecture concepts and demonstrate application of programming and critical thinking skills. Collaboration is encouraged, but you must give credit where credit is due. All assignments must be done independently and written (typed) in your own words.

Quizzes:   Daily quizzes may be used to reinforce concepts, check student comprehension, and initiate discussion.

Examinations:   There will three examinations.

Projects:   All files are subject to inspection by the instructor. Projects are to be submitted electronically. Submission will be to jholten@nmt.edu; the subject must be your last name followed by the project subject (e.g. "Holten- Project 1").

All programming projects for this class should be written using an easily readable and well-organized coding style.

Plagiarism Policy:   Students are encouraged to discuss homeworks and projects with others. Ideas from outside sources should be properly credited to their sources. However, everything that is turned in for each assignment and/or miniproject must be your own work. In particular, it is not acceptable to: Copy in part or in totality another person's assignment and submit it as your own work; Get someone else to do all or a part of the work for you; Submit the work of others as your own work. When the work of others is included in your work the sources should be adequately cited for easy reference, otherwise these acts are plagiarism and will not be tolerated in this course.

Attendance Policy:   Students are encouraged to attend all classes. Attendance will count toward participation and therefore grades.

Grades:   The tentative percentage of points allocated to the major graded components are shown below. Student grades will be determined based on a straight scale.

• Breakouts:
  1. Participation (Presence and Discussions): 30%
  2. Quizzes (20%)
  3. Homework (20%)
  4. Tests: 10% each (30% for all)
• Total: 100%

Instructor Discretion:   The instructor reserves the right to modify policies to improve the execution of this course.

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