Program Overview

Systems Modeling and Analysis (SYSM) Program

The Systems Modeling and Analysis (SYSM) program is designed to provide students with a comprehensive understanding of the principles and methods of systems modeling and analysis.

Course Offerings

The program offers a range of courses, including:

• SYSM 681: Research Exploration: A 1-hour semester course that helps students attain knowledge of the various research opportunities in the systems modeling and analysis Ph.D. program.
• SYSM 682: Systems Seminar II: A 1-hour semester course that helps students attain proficiency in professional communication and research in the context of mathematics, operations research, and statistics.
• SYSM 683: Systems Seminar III: A 1-hour semester course that helps students attain proficiency in literature review and research in the context of mathematics, operations research, and statistics.
• SYSM 697: Systems Research: A 2-hour semester course that involves supervised individual research and study, culminating in the submission of a written report to the supervising faculty member.
• SYSM 780: Stochastic Methods in Mathematical Biology: A 3-hour semester course that covers commonly used stochastic methods in mathematical biology, including cellular physiology and related areas.
• SYSM 798: Dissertation Research: A variable-hour semester course that involves research and work leading to the completion of the Ph.D. dissertation in systems modeling and analysis.

Program Requirements

The program has specific requirements, including:

• Enrollment in SYSM 681 is restricted to graduate students in mathematical sciences or systems modeling and analysis.
• SYSM 682 and SYSM 683 require graduate standing in mathematical sciences or systems modeling and analysis.
• SYSM 697 is restricted to graduate students in the systems modeling and analysis Ph.D. program.
• SYSM 780 requires prerequisites of STAT 513 or STAT 613, and MATH 535.

Research Areas

The program focuses on various research areas, including:

• Stochastic methods in mathematical biology
• Cellular physiology and related areas
• Operations research and statistics
• Mathematics and systems modeling and analysis

Degree Requirements

The program culminates in the completion of a Ph.D. dissertation in systems modeling and analysis, which involves original research and contribution to the field. The dissertation research is conducted under the supervision of a faculty member, and the student is expected to submit a written report and defend their dissertation.