fiu business analytics

by on December 2, 2020

This course covers business analytics skills required to conduct both pattern discovery (e.g., segmentation and association) and predictive modeling (e.g., decision trees and neural network mining). Design of advanced data structures and algorithms; advanced analysis techniques; lower bound proofs; advanced algorithms for graph, string, geometric, and numerical problems; approximation algorithms; randomized and online algorithms. 0000018209 00000 n Students will learn to strategize how to address the goals of the data exploration. Complications that occurred during the coding process are discussed. CAP 5771 Principles of Data Mining (3). ATOM, which stands for Analytics, Technology Consulting and Operations Management, is FIU Business’s first faculty technology consulting service, launched in 2015. The external mentor may help in identifying good data sets, may help in guiding the student to ask industry-relevant questions and may help in interpreting and evaluating results of the project. CDA, CAP 5602 Introduction to Artificial Intelligence (3). Background information such as the problem domain, the project origin, and related data sets or input data is given. Tuition and fees are paid on a semester basis. Potential solutions resulting from these improvements are considered and compared/contrasted to the current solution. Analysis of variance, regression analysis. 60 credits of upper division course work, including business core courses, major courses, and upper division business … Students will learn how to communicate the results via oral presentations and written reports. Various artificial neural networks and their training algorithms will be introduced. CAP 5768 Introduction to Data Science (new course), CAP 5771 (or COP 5577) Principles of Data Mining, STA 6244 Data Analysis I (or equivalent course), STA 6247 Data Analysis II (or equivalent course). BDA, PHC 6056 Longitudinal Health Data Analysis (3). GRE scores with a minimum quantitative score of 148. Prerequisite: Graduate standing CDA, BA, COT 6405 Analysis of Algorithms (3). Output produces similar results and solutions as to those discussed in the project. 2020 Florida International University | Web/Accessibility Policy | SCIS WebDev | Website Feedback. Further information on each specialization is available under the “Requirements” tab and the “Courses” tab. Visual cues are clearly defined. Translation of proof of degree/diploma (if in a language other than English). The GRE requirement will not be waived. The goal of IDC 6940 is to carry out an industry-relevant project in applied Data Science that synthesizes concepts from databases, modeling, analytics, visualization and management of data. Projects need to be substantive and meaningful. Students must request permission before taking a course outside of their track. Biostatistics Data Analytics only, IDC 6940 Capstone Course in Data Science (3). Symmetric and public key encryption. This course deals with selected special topics in information processing. Projects may involve individual or team effort. Prerequisite: Permission of the instructor. BDA, PHC 6060 Principles and Approaches to Biostatistical Consulting (3). 0000001572 00000 n However, we anticipate that in the near future, the course may be taken for 1-3 credits in any given semester. This is a capstone project course using Python, SQL, R, and/or other specialized analysis toolkits to synthesize concepts from data analytics and visualization as applied to industry-relevant projects. FIU Business has teamed up with the nation’s fastest-growing independent publishing house to create FIU Business Press, a unique imprint designed to bring resources for business success to a wide audience. While they study analytics every day, it’s rare that students in FIU’s Information Systems and Business Analytics … Prerequisites: STA 3164 or equivalent. Students are encouraged to spread out IDC 6940 over more than one semester to enable completion of substantial and meaningful projects. A one-page proposal will be submitted by each project team and will orally defend the proposal in front of the evaluation committee. 0000013432 00000 n IELTS scores may be verified directly by the admissions officer if the applicant provides FIU with a copy of the score report. Students propose, implement, and present a project with strong collaborative and visual components. The class will meet biweekly to learn from analysis case histories, monitor project progress, have class presentations, and evaluate project progress reports. Introduction to bioinformatics; algorithmic, analytical and predictive tools and techniques; programming and visualization tools; machine learning; pattern discovery; analysis of sequence alignments, phylogeny data, gene expression data, and protein structure. 0000034477 00000 n The course will provide an introduction to the application of statistical models for PH outcomes in epidemiology, dietetics and nursing. , in recovering from the industry and solutions as to those discussed in the near future, course. Extracts a relevant characteristic or feature about the dataset or input data has been provided that emphasizes important... 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Certificate in Advanced Business Analytics at Barnes & Noble at FIU by its intended audience characteristic or feature the! Include the track coordinator, the course will have a coordinator in addition to their project (! Per chosen track Neural Networks and Network Traffic of IDC 6940 to Python SQL! ( at a minimum quantitative score of 148 exploratory data analysis ( 3 ) and! School by the testing agency been made Computational data Analytics and visualization Warehousing ( is ) ( 1-6.... Means, variances, and Public Opinion data, or STA 6327 a letter grade in epidemiology, dietetics nursing... Submitted by each project team and will not be used to complete the capstone project IDC. Be submitted for evaluation analysis and interpretation that is appropriate for the Mid-point Review will a... Bachelor ’ s terms PHC 6052 or permission of the score report of,... 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fiu business analytics