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The Master in Computational Science (MCS) program is an exciting new approach to understanding complex systems in a broad range of knowledge areas, including the natural and physical sciences, the social sciences, the life sciences, management science and medical science. By integrating computer simulation, mathematical modelling, and data analysis, recent developments in computational science are making possible what was unthinkable only a few years ago. Problems that are inaccessible to traditional experimental and empirical methods can now be addressed thanks to new techniques in algorithmic modelling and the increasing speed of modern computers.


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The program introduces students to the university's blend of innovative scientific research and real-world applications, thus providing an excellent foundation for a career in industry and science. Students may emphasize numerical software, mathematical modelling, deterministic and probabilistic theory, computer simulation, or data science. Our graduates are ready to pursue professional careers in research, engineering, scientific computing, data science, data and business analytics, computational medicine, and information systems.

Previous research 1 on this subject tracked the presumed exact path the HDR source would follow in real-time, during breast brachytherapy treatments in other to ensure accurate dose delivery and effectively confirm actual source position. As a continuation, this research has three objectives. Firstly, we will extract information from patient DICOM file which will be used to perform evaluations, then we will establish communication between our C program and the new Varex Paxscan flat panel detector (FPD). Finally, we will try to embed our C codes into a MATLAB graphical user interface (GUI) This research will attempt to improve the overall existing system in several ways including, code optimization and trying a sample simulation of the process in MATLAB guide app, to check the quality of the new design. Finally, all the algorithms will be integrated into the user-friendly GUI, such that its operation can be implemented easily. The FPD is used to obtain images resulting from the exit radiation of the HDR source, emerging from an organized matrix of markers. The images are processed using in-built functions in MATLAB to obtain projection coordinates, and marker coordinates. Each marker along with its projection constitutes a line in 3D. Using the mathematical solution for near intersection of two 3D lines, N-markers will produce N*(N-1)/2 points of intersection and their mean will produce a more precise source position. The changes in this position as well as the time interval between these changes will be used to confirm the accuracy of our treatment system using the standalone monitoring system built in this research. In the previous study the accuracy of source position detection using the FPD was found to be in sub-millimeter. This study which uses a new FPD with improved features is used to confirm that, but our focus here is improvement of the previous work, as stated earlier.

  • Nicoletta Fornara and Marco Colombetti. Using Semantic Web Technologies and Production Rules for Reasoning on Obligations, Permissions, and Prohibitions.AI Communications, vol. 32, no. 4, pp. 319-334, 2019. The OWL Normative Language Ontology.The final publication is available at IOS Press through -190617

  • Nicoletta Fornara and Tina Balke-Visser. Modeling Organizations and Institutions in Multiagent Systems. .Journal of Applied Logics - IfCoLoG Journal of Logics and their Applications, Special Issue: Normative Multi-Agent Systems, Guest Editor: Serena Villata, Vol. 5, No 2, pp. 565-590, April 2018, ISBN: 978-1-84890-277-0.

  • Fabio Marfia, Nicoletta Fornara, and Truc-Vien T. Nguyen.A Framework for Managing Data Provider and Data Consumer Semantic Obligations for Access Control..AI Communications, vol. 30, no. 1, pp. 67-82, 2017, IOS Press, DOI 10.3233/AIC-170725

  • Truc-Vien T. Nguyen, Nicoletta Fornara, and Fabio Marfia.Automatic Policy Enforcement on Semantic Social Data.Multiagent and Grid Systems - An International Journal 11 (2015) 121-146, IOS PressDOI 10.3233/MGS-150233

  • Visara Urovi, Alex Carmine Olivieri, Albert Brugués de la Torre, Stefano Bromuri, Nicoletta Fornara, Michael Schumacher.Secure P2P Cross-Community Health Record Exchange in IHE Compatible Systems.International Journal on Artificial Intelligence Tools, February 2014, Vol. 23, No. 01.DOI: 10.1142/S0218213014400065.

  • Visara Urovi, Alex Carmine Olivieri, Stefano Bromuri, Nicoletta Fornara, Michael Schumacher.A Semantic Publish-Subscribe Coordination Framework for IHE based Cross-Community Health Record Exchange.ACM/SIGAPP Applied Computing Review Sep. 2013, Vol. 13 No. 3, pages 38-49.

  • Amit K. Chopra, Alexander Artikis, Jamal Bentahar, Marco Colombetti, Frank Dignum,Nicoletta Fornara, Andrew J. I. Jones, Munindar P. Singh, Pinar Yolum.Research Directions in Agent Communication.ACM Transactions on Intelligent Systems and Technology (ACM TIST) 4, 2, Article 20 (April 2013), 23 pages.DOI: 10.1145/2438653.2438655.Nicoletta Fornara and Charalampos Tampitsikas.Semantic Technologies for Open Interaction Systems.Artificial Intelligence Review, Volume 39, Issue 1, pp 63-79 Springer Netherlands, ISSN: 0269-2821, 2013.DOI:10.1007/s10462-012-9390-7. BibTex.Download the ontologies described in the paper.

  • Estefanía Argente, Olivier Boissier, Carlos Carrascosa, Nicoletta Fornara, Peter McBurney, Pablo Noriega, Alessandro Ricci, Jordi Sabater-Mir, Michael Ignaz Schumacher, Charalampos Tampitsikas, Kuldar Taveter, Giuseppe Vizzari, George Vouros.The Role of the Environment in Agreement Technologies.Artificial Intelligence Review, Volume 39, Issue 1, pp 21-38, Springer Netherlands, ISSN: 0269-2821, 2013.DOI:10.1007/s10462-012-9388-1.BibTex.

  • Charalampos Tampitsikas, Stefano Bromuri, Nicoletta Fornara, and Michael Ignaz Schumacher.Interdependent Artificial Institutions in Agent Environments.Applied Artificial Intelligence: An International Journal, 26(4):398-427, Taylor & Francis, 2012.DOI:10.1080/08839514.2012.653660.BibTex.

  • Nicoletta Fornara, and Marco Colombetti.Representation and monitoring of commitments and norms using OWL.In J. Sabater-Mir and P. Davidsson, eds., Special issue: European Workshop on Multi-Agent Systems (EUMAS) 2009,AI Communications, IOS Press, Amsterdam, Volume 23, Number 4/2010, pages 341-356, ISSN 0921-7126 (Print) 1875-8452,DOI:10.3233/AIC-2010-0478.

  • Nicoletta Fornara, Francesco Viganò, Mario Verdicchio and Marco Colombetti.Artificial institutions: a model of institutional reality for open multiagent systems.Artificial Intelligence and Law, Springer Netherlands Volume 16, number 1, pages 89-105, March 2008.DOI:10.1007/s10506-007-9055-z

  • Nicoletta Fornara, Francesco Viganò, and Marco Colombetti.Agent Communication and Artificial Institutions.Autonomous Agents and Multi-Agent Systems, Springer Netherlands, Volume 14, Number 2, pages 121-142, April, 2007.DOI:10.1007/s10458-006-0017-8

  • Nicoletta Fornara and Marco Colombetti.A commitment-based approach to agent communication.Applied Artificial Intelligence an International Journal, Taylor & Francis Group, 18(9-10):853-866, 2004.

  • Andrea E. Rizzoli, Nicoletta Fornara, Luca Maria Gambardella.A Simulation Tool for Combined Rail-Road Transport in Intermodal Terminals.Mathematics and Computers in Simulation, Elsevier Science, 59/1-3 pp. 57-71, 2002MATCOM.

BANA 200 Foundations of Business AnalyticsThis course will provide an overview of business analytics and the theory and practice underpinnings of the MSBA curricular tracks in data analytics, marketing analytics, and operations analytics. The course will also provide the students a working knowledge of the R programming language, including a coverage of how R can be used for data visualization and graphics, data management, and basic statistics.BANA 201A Statistics for Data ScienceMethods of statistical inference, emphasizing applications to administrative and management decision problems. Topics: classical estimation and hypothesis testing, regression, correlation, analysis of variance, decision analysis, and forecasting.BANA 201B Management Science for AnalyticsAn introduction to computer-based models for decision-making. Topics include optimization (linear programming, integer programming, network flows, quadratic programming, goal programming), Monte Carlo simulation, decision analysis, and heuristics for non-convex optimization. This course makes extensive use of optimization software, including Excel Solver and AMPL.BANA 205 Foundations of MarketingIntroduction to the field of marketing. Objectives include developing familiarity with fundamental concepts, theories, and techniques in marketing, and acquainting students with the type of decisions made by marketing managers including customer targeting, product, pricing, distribution, promotion, and research.BANA 211 ProSeminarThe ProSeminar courses are designed to hone career building skills, provide technology workshops and industry panel discussions, and generally prepare the students for a successful career in business analytics. During the Fall and Winter quarters, we will have guest speakers and panelists from various companies involved with business analytics, and in the Spring we focus on preparing for the CAP and aCAP certifications.BANA 212 Data and Programming for AnalyticsThe objective of this course is to challenge and teach students how to handle data that come in a variety of forms and sizes. This course guides students through the whole data management process, from initial data acquisition to final data analysis. Topics include: Python programming, data visualization, web crawling, data manipulation and querying, and natural language processing.BANA 273 Machine Learning for AnalyticsIntroduces methods to mine data repositories for business intelligence to facilitate analytical decision-making. Topics include clustering for market segmentation, association rules to discover relationships between different purchase decisions, Naive-Bayes classification techniques for decision making using decision-trees.BANA 277 Customer and Social AnalyticsExamines how to create value through web, mobile and social media analytics. Topics include: digital and social strategies; web analytics; search analytics; display and mobile advertising; social networks and social influence; social media and sentiment analysis; social media monetization; and crowdsourcing.BANA 298A Business Analytics Capstone PrepDuring the Winter quarter teams of up to four students will select the topic for their capstone project, conduct background research, and familiarize themselves with relevant data sets and software.BANA 298B Business Analytics Capstone ProjectDuring the Spring quarter students will do the bulk of their analysis on the capstone project, with two key deliverables due at the end of the quarter: (i) a presentation to MSBA faculty and students, and (ii) a final project report. Prerequisite: BANA 298A. 041b061a72


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