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Technology & Innovation Management |
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TIM-6501 - Quantitative Methods for Data Analytics and Business Intelligence Semester Credits: 3 Weeks: 8
This course is an introduction to the quantitative measurements used in business intelligence, data mining, and predictive modeling. Students will practice “crunching numbers” and learn the tools, measurements, and analyses that will be required for further study and professional practice in data analytics.
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TIM-6430 - Systems Analysis & Design Semester Credits: 3 Weeks: 8
This project-driven course introduces students to the essential practices and tools required for systems analysis and design. Students practice using a variety of software tools and resources to create designs and deliverables for simulated real-world projects. Students may not receive credit for both TIM-6140 and TIM-6430.
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TIM-6420 - Data Warehousing & Decision Support Semester Credits: 3 Weeks: 8
This course is an introduction to the systems, tools, and techniques used to create and manage enterprise data warehouses, as well as use those repositories for informing business decisions.
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TIM-6410 - Cloud Computing Semester Credits: 3 Weeks: 8
In this course, students will study how processing, storage, and other functions previously covered by a desktop computer are all moving “into The Cloud” and how to take advantage of “The Cloud” in their organizations.
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TIM-6340 - Secure Software Development Semester Credits: 3 Weeks: 8
Security is often left out of the early stages of software development. This course is an introduction to software engineering for the security professional, with particular emphasis placed on keeping security as a primary concern during all phases of development.
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TIM-6330 - Systems Certification and Accreditation Semester Credits: 3 Weeks: 8
This course provides guidance on principles that must exist in order to establish and maintain a certification and accreditation program. Students will explore the required processes for accreditation and certification programs including project planning, system inventory, system security plans, risk assessment, security procedures, certification testing, documentation of accreditation decisions, and coordination of security for interconnected systems. The course will also provide the student with a more thorough understanding of what a complete certification and accreditation program can do to benefit an organization. A framework for a systems certification and accreditation program will be developed.
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TIM-6320 - Contingency Planning & Disaster Recovery Semester Credits: 3 Weeks: 8
In this course, students will study how processing, storage, and other functions previously covered by a desktop computer are all moving “into The Cloud” and how to take advantage of “The Cloud” in their organizations.
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TIM-6310 - Cyber Forensics Semester Credits: 3 Weeks: 8
In this course, students will examine how forensics principles can be applied in criminal investigations and civil cases where computers and other electronic devices and associated software have been used to commit criminal acts or other activities requiring legal actions. This course also includes legal considerations facing cybersecurity professionals in dealing with the discovery, investigation, and prosecution of cybercrimes. Students are provided with an overview of the tools used by computer forensic professionals while investigating such incidents; the use of these tools for the collection, examination, and preservation of evidence is also explored.
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TIM-6301 - Principles of Cybersecurity Semester Credits: 3 Weeks: 8
This course is an introduction to the concepts and tools used in securing computer networks and data systems. Students will examine various scenarios and their impact on an organization’s cybersecurity readiness.
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TIM-6220 - Engineering Law Semester Credits: 3 Weeks: 8
Innovative new ideas are often brought to fruition by talented engineers. Protecting those ideas requires close attention to laws regarding intellectual property; and engineers are bound by regulations that help ensure the safety of their work. In this course, students will study the legal implications of innovation and engineering.
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TIM-6210 - Quality Management Semester Credits: 3 Weeks: 8
The effective implementation of total quality management practices is a requirement for all organizations to be successful. This course introduces a systematic approach for implementing total quality management for an organization with a strong emphasis on the customer, including customer expectations for product quality. This course covers the topics of defining quality, the history of quality management, identifying and understanding the customer, and adopting process improvements to implement quality management.
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TIM-6140 - Software Engineering Semester Credits: 3 Weeks: 8
This project-driven course introduces students to the principles and processes for development of software-intensive systems. Students practice using a variety of software tools and resources to create designs and deliverables for simulated real-world projects.
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TIM-6130 - Data Mining Semester Credits: 3 Weeks: 8
Data mining is the extraction of meaningful and non-obvious information from structured and unstructured data. In this course, students will learn common techniques and algorithms used in data mining.
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TIM-6120 - Distributed Systems Semester Credits: 3 Weeks: 8
Distributed computing involves the coordinated efforts of multiple devices to perform computing tasks via network connections. In this course, students will study the foundations of systems programming and apply those concepts to distributed computing scenarios.
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TIM-6110 - Programming Languages & Algorithms Semester Credits: 3 Weeks: 8
This course is an introduction to the logic (algorithms) and tools (programming languages) necessary for solving complex problems with computers. Students will also study the practical and theoretical principles behind algorithm and language development and use in research and industry.
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TIM-6101 - Principles of Computer Science Semester Credits: 3 Weeks: 8
This course introduces the foundations of computer science for students without prior experience in the subject. Included is an overview of mathematics concepts for computer science, programming in a high-level language, and algorithm design and analysis.
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TIM-6010 - Strategic Management of Technology & Innovation Semester Credits: 3 Weeks: 8
Innovation requires careful and strategic management. New technologies and programs should be aligned to the organization’s mission, vision, and values. In this course, students will learn how to plan strategic integration of new ideas and technologies into existing organizations.
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TIM-5110 - Secure Software Development Semester Credits: 3 Weeks: 8
Security is often left out of the early stages of software development. This course is an introduction to software engineering for the security professional, with particular emphasis placed on keeping security as a primary concern during all phases of development.
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TIM-5040 - Strategic Management of Technology & Innovation Semester Credits: 3 Weeks: 8
Innovation requires careful and strategic management. New technologies and programs should be aligned to the organization’s mission, vision, and values. In this course, students will learn how to plan strategic integration of new ideas and technologies into existing organizations.
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TIM-5030 - Managing Risk, Security, & Privacy in Information Systems Semester Credits: 3 Weeks: 8
With new technologies and ideas comes increased risk of information theft, privacy concerns, lack of adoption, and system failure. In this course, students will learn to recognize, predict, assess, and mitigate these and other threats.
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TIM-5020 - Databases & Business Intelligence Semester Credits: 3 Weeks: 8
Effective data management is essential to success in business and government. In this course, students will learn how databases are designed and built, as well as how to extract meaningful and actionable business intelligence from databases.
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TIM-5010 - Computer Networks & Mobile Computing Semester Credits: 3 Weeks: 8
Computer networks are quickly becoming the backbone of human communication, and mobile devices are personal hubs that keep people connected nearly anywhere. This course is an overview of the technologies, concepts, software, and hardware involved in connecting devices and people all over the world.
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TIM-5001 - Changing Times: Managing Technology & Innovation in the 21st Century Semester Credits: 3 Weeks: 8
Technological innovations can be intimidating - yet beneficial - for many organizations. It is important for leaders to know how to take advantage of new technologies and ideas or be trapped in stagnation. In this course, students will take the first step towards becoming champions of positive change through technological innovation.
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Data Science |
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CMP-9700DS - PhD-DS Portfolio Semester Credits: 3 Weeks: 8
In this course, students will work collaboratively with faculty members to create a comprehensive portfolio of their work and achievements thus far. This portfolio will showcase the student’s abilities. Key competencies will be demonstrated by portfolio artifacts including in the areas of ethics and social responsibility, theory and research in data science, problem solving, global understanding, and professional competency. Students will present their dissertation prospectus as part of the portfolio.
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TIM-8590 - Data, Information, and Knowledge Policy & Strategy Semester Credits: 3 Weeks: 8
Visionary leaders can help change an organization and bring about new innovations. In this course, students will practice being those visionaries and being champions for new technologies and positive change in public and private organizations through the strategic management of data, information, and knowledge.
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TIM-8540 - Data Reporting Semester Credits: 3 Weeks: 8
This course introduces the proper reporting formats used in data science. You will examine the common methods used in reporting data and the techniques used in displaying numeric data. You will utilize the analytical output of a data science project to help inform decision-making and prepare presentations that adhere to industry standards.
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TIM-8535 - Current Topics in Quantitative Analysis Semester Credits: 3 Weeks: 8
This course examines current techniques and methods utilized in manipulating data in quantitative analysis. You will analyze processes within data science that help organize large data sets. You will explore the differences in statistical reasoning based on Frequentists and Bayesian philosophy and will analyze output based on Artificial Neuron Network analysis.
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TIM-8525 - Multivariate Analysis Semester Credits: 3 Weeks: 8
This course examines the use of multivariate analysis within the scope of data science projects. You will focus on the procedures in completing a multivariate analysis and determine the correct models to utilize in analyzing data. Specifically, you will examine factor analysis, principal components analysis, and multivariate analysis of variances techniques as a solution to analyzing multidimensional data.
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TIM-8505 - Quantitative Research Design Semester Credits: 3 Weeks: 8
This course provides a foundation in quantitative research design. You will explore research design as it relates to a business need and determine the worth of a quantitative analysis project. You will examine the elements of a research design plan to fit a business need.
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TIM-8500 - Principles of Data Science Semester Credits: 3 Weeks: 8
This course provides an introduction and overview of data science in order to make informed decisions about business needs. You will explore the data science life cycle and determine appropriate design methods and management of data to fit authentic situations.
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TIM-6540 - Critical Analysis, Interpreting and Reporting Data Semester Credits: 3 Weeks: 8
This course introduces the proper reporting formats used in data science. You will explore the common methods used in reporting data and the techniques used in displaying numeric data. You will utilize the analytical output of a data science project to help inform decision-making and prepare presentations that adhere to industry standards.
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TIM-6505 - Quantitative Research Design Semester Credits: 3 Weeks: 8
This course provides a foundation in quantitative research design. You will explore research design as it relates to a business need and determine the worth of a quantitative analysis project. You will examine the elements of a research design plan to fit a business need.
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TIM-6500 - Principles of Data Science Semester Credits: 3 Weeks: 8
This course provides an introduction and overview of data in order to make informed decisions about business needs. You will explore the data science life cycle and determine appropriate design methods and management of data to fit authentic situations
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