Courses completed thus far in my program are listed below with their descriptions
CSCI 5103: Fundamentals of Informatics
Fundamental computing concepts for informatics study. Topics include problem-solving logic and algorithms, data management, information and knowledge discovery, security and ethics issues related to informatics, technology project management, user interface, and interprofessional application of informatics in specific fields' case studies. Prerequisites: Computer competence and experience with data analysis applications such as spreadsheet software.
CSCI 5203: Database Systems
Design, implementation, and use of relational database systems (model and query language SQL). Examination of file organization, database storage, indexing and hashing, query evaluation and optimization, transaction processing, concurrency control and recovery, and database integrity and security. Investigation of latest developments in other large-scale data management techniques and systems.
CSCI 5413: Data Communication Networks
Analysis of networks and data communication avenues to gather, transfer, manage, and manipulate data for making contextualized data-driven decisions; network and communication security and integrity to support private and confidential data contexts; strengths and weaknesses of communication technologies at various levels and contexts.
CSCI 5513: Data & Information Visualization
Transformation of data into interactive visual representations for effective analytical reasoning and decision making; acquisition, preparation, and analysis of large data sets; techniques, algorithms, and software tools to create visualizations; techniques for analytical reasoning and data representation and transformation to support production, presentation, and dissemination of visualization results.
CSCI 5673: Big Data: Management, Access & Use
Fundamentals of big data and big data analytics; NoSQL systems and tools and techniques used in big data scenarios. Exploration of the big data phenomenon from multiple perspectives: historical, theoretical, statistical, philosophical, ontological, and ethical. Possible solutions to the problems of big data involving compression, mining, database design, visualization, interface design, security, management, and use, with application to multiple fields.
CSCI 5813: Data Warehouse & Data Mining
Review of the basic concepts of file systems, databases, data warehousing, data mining, and related statistics. Summary of database management, modeling, design, and life cycle is provided as related to data warehousing. Methods for extracting information from a large database by use of data mining techniques are studied. Techniques include machine learning, decision algorithms, statistical modeling, and clustering.
CSCI 5823: Modeling Machine Learning
Machine learning algorithms and their applications in problem-solving and data analysis, data pre-processing, data representation, and machine learning model evaluation.
MATH 5573: Statistical Methods I
Probability distributions, graphical representations, curve fitting, hypothesis testing, regression and correlation, and applications.
MATH 5583: Statistical Methods II
Statistical research tools including analysis of variance, chi-square tests, regression (simple and multiple), logistic regression, correlation, non-parametric method, and survival analysis. Use of SPSS for the PC.
CSCI 5103: Fundamentals of Informatics
Fundamental computing concepts for informatics study. Topics include problem-solving logic and algorithms, data management, information and knowledge discovery, security and ethics issues related to informatics, technology project management, user interface, and interprofessional application of informatics in specific fields' case studies. Prerequisites: Computer competence and experience with data analysis applications such as spreadsheet software.
CSCI 5203: Database Systems
Design, implementation, and use of relational database systems (model and query language SQL). Examination of file organization, database storage, indexing and hashing, query evaluation and optimization, transaction processing, concurrency control and recovery, and database integrity and security. Investigation of latest developments in other large-scale data management techniques and systems.
CSCI 5413: Data Communication Networks
Analysis of networks and data communication avenues to gather, transfer, manage, and manipulate data for making contextualized data-driven decisions; network and communication security and integrity to support private and confidential data contexts; strengths and weaknesses of communication technologies at various levels and contexts.
CSCI 5513: Data & Information Visualization
Transformation of data into interactive visual representations for effective analytical reasoning and decision making; acquisition, preparation, and analysis of large data sets; techniques, algorithms, and software tools to create visualizations; techniques for analytical reasoning and data representation and transformation to support production, presentation, and dissemination of visualization results.
CSCI 5673: Big Data: Management, Access & Use
Fundamentals of big data and big data analytics; NoSQL systems and tools and techniques used in big data scenarios. Exploration of the big data phenomenon from multiple perspectives: historical, theoretical, statistical, philosophical, ontological, and ethical. Possible solutions to the problems of big data involving compression, mining, database design, visualization, interface design, security, management, and use, with application to multiple fields.
CSCI 5813: Data Warehouse & Data Mining
Review of the basic concepts of file systems, databases, data warehousing, data mining, and related statistics. Summary of database management, modeling, design, and life cycle is provided as related to data warehousing. Methods for extracting information from a large database by use of data mining techniques are studied. Techniques include machine learning, decision algorithms, statistical modeling, and clustering.
CSCI 5823: Modeling Machine Learning
Machine learning algorithms and their applications in problem-solving and data analysis, data pre-processing, data representation, and machine learning model evaluation.
MATH 5573: Statistical Methods I
Probability distributions, graphical representations, curve fitting, hypothesis testing, regression and correlation, and applications.
MATH 5583: Statistical Methods II
Statistical research tools including analysis of variance, chi-square tests, regression (simple and multiple), logistic regression, correlation, non-parametric method, and survival analysis. Use of SPSS for the PC.
Comments
Post a Comment