Modeling and simulation are widely-used tools in understanding and solving numerous and diverse problems in the practice of scientific inquiry and engineering design. The M&S certificate program is intended for students who are interested in developing a deep understanding of how natural phenomena or man-made systems can be described by computational models and simulated by computing systems. The certificate program will focus on the computational and informatics aspects of modeling and simulation, including implementing mathematical models in computer software, designing efficient algorithms, and executing simulation on modern computing platforms so as to better understand the characteristics and predict the behavior of real systems and phenomena.
To apply: All students (new and current) must submit the Enrollment Form for Modeling and Simulation Certificate in Computing and Informatics.
Eligibility Requirements: Candidates for the program must have a 4-year Bachelor’s degree from an accredited academic institution.
The program requires a student to take four of the following courses (12 credit hours). Each course has a normal letter grade. The student is expected to obtain a C or better in each course and maintain a 3.0 GPA.
The courses are listed below. Additional electives may be added in future.
Core Course: (required)
- MSIM 601: Introduction to Modeling and Simulation – 3 credits
Foundation Elective Courses: (select at most two from the following)
- CS 517: Computational Methods and Software – 3 credits
- CS 578: Computational Geometry, Methods and Applications – 3 credits
- CS 586: Introduction to Parallel Computing – 3 credits
- CS 600: Algorithms and Data Structures – 3 credits
Advanced Elective Courses: (select at least one from the following)
- CS 712/812: Stochastic Modeling – 3 credits
- CS 713/813: Modeling and Simulation in Computational Biology – 3 credits
- CS 714/814 Monte Carlo Simulation – 3 credits
- CS 715/815 Medical Image Computing and Simulations – 3 credits
- CS 716/816 Communication Networks Simulation and Evaluation – 3 credits
- CS 722/822 Machine Learning – 3 credits
- CS 723/823 Introduction to Bioinformatics – 3 credits
- CS 724/824 High Performance Computing with GPUs for Large Scale Simulations – 3 credits
- CS 725/825 Information Visualization – 3 credits
- CS 726/826 Applications of Graphs in Bioinformatics – 3 credits