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Network Science Minor

Network Science is an inherently interdisciplinary academic field which studies complex networks such as telecommunications, computer, biological, cognitive, and social networks. Network representations of these systems lead to predictive models and insights into how networks behave and evolve. The USMA Network Science Center was established in 2007 with the intent to engage more academic institutions, public and private research organizations, and scholars in basic and applied research relevant to US Department of Defense’s doctrine of Network Centric Operations.
Cadets who minor in Network Science (NS) graduate with an enriched understanding of the interrelationships and influences that drive formation and evolution of systems. Examples of such systems include, but are not limited to, social systems like organizations; physical systems like the contemporary communications infrastructure; and natural systems like ecological webs.
NS minors learn to formalize and measure several different aspects of an individual’s importance to a system, as well as to formalize and measure various characteristics of the system itself, such as its size, sensitivity to change, and topology (such as its shape and pattern of connectivity). However, NS minors will learn to do more than simply calculate these measures; the program of study emphasizes the application of NS to real world problems that exist within and between academic disciplines as diverse as sociology, economics, biology, policy, electrical engineering, international relations, organizational theory, and computer science.
The NS minor is inherently interdisciplinary and combines aspects of mathematics with theories drawn from the social and behavioral sciences and tools created by computer scientists. This interdisciplinary focus will prepare cadets to navigate the complex and diverse problems they will face as officers – problems which no single discipline can solve in isolation and which require rigorous analytical problem solving.
Program of Study
The Network Science minor is currently offered through the Behavioral Sciences and Leadership (BS&L) Department and involves taking 5 courses beyond the cadets major (without any double counting). Cadets can meet with the BS&L academic counselor to determine the feasibility of adding a Network Science minor.
is a discipline within the Mathematical Sciences that involves collecting, analyzing, interpreting, and presenting data. Applied Statistics is particularly concerned with describing sample data and using it to draw inferences about the underlying population. Modern computing has dramatically increased the power and use of statistical techniques. Data based research is now the norm in almost every discipline to include those in the humanities. Further, data is regularly used and analyzed for military operations. As a result, many exciting opportunities currently exist for officers to pursue an education in Statistics at the graduate level, and to apply the skills they acquire in such a program during their military service. 

Required Courses(1 of 1)
Course No. Course Title
MA394 Fundementals of Network Science

Theory Courses (Choose 1 out of 6)
Course No. Course Title
MA371
Linear Algebra
MA372
Discrete Math
MA488
Special Topics
MA461
Graph Theory
PL384
Sociological Theory
IT350
Network Engineering & Mgt


 

Modeling Elective (Choose 1 out of 6)
Course No. Course Title
CS384
Data Structures
CS385
Design & Analysis Algorithms
​MA391 Mathematical Modeling
​SE387
Deterministic Models
​SE388 Stochastic Models
​EM481
Systems Simulation
​SE485 Combat Modeling
​SM484
System Dynamics Simulation
​SS387 Economics of Public Policy

 

Application Elective (Choose 1 out of 25)
Course No. Course Title
CE350
Design of Structure in Theater Opn
CE490
Topics in Civil Eng: Infrastructure
​CS482 Cybersecurity
​CS484
Computer Networks
​DS455 Comparative Military Systems
​EM482
Supply Chain Eng & Info Mgt
EV365 Geography of Global Cultures
EV398
Geographic Info Systems
EV478 Military Geographic Operations
EV390B
Urban Geography
CS486 Artificial Intelligence
IT384
Network Systems Programming
IT460 Information Warfare
MA488
Special Topics
MG379 Leading Teams
MG390
Negotiation for Leaders
PL383 Experimental Social Psychology
PL398
Leadership Theory & Development
PL396 SNA for Public Policy
PL475
Human Computer Interface
SM440 Complex Systems Architecture
SS368
Econometrics I
SS381 Cultural & Political Anthropology
SS465
Terrorism: New Challenges
XH467 Winning the Peace

 

Integration Elective (Choose 1 out of 2)
Course No. Course Title
PL497 Seminar in Behavioral Sciences
PL398 Adv Study in Behavioral Sciences