At Boston Global we partner with you to integrate learning and work. On-the-job training can be important, but when you notice that your team tries learning from their mistakes, and those mistakes keep piling up, it might be time to bring in the experts. Let us manage the learning and development of your teams. Paul Wolff Owner of Porter Davis. Our programs are uniquely flexible—we offer courses evenings on campus, fully online, or in a blended format that combines online study with occasional campus visits—so you can balance graduate school with your career, family, and other obligations.
We take pride in providing training in critical specialization areas and emphasizing practical, insightful, and adaptable knowledge that can be immediately applied on the job while informing your career growth for years to come. To be eligible for the degree, you must apply for admission and be accepted into the degree program. Connect with a graduate admissions advisor at csadmissions bu. This course focuses on building core competencies in web design and development.
The fundamentals of JavaScript language including object-oriented JavaScript is covered comprehensively. Or instructor consent. Along with the fundamentals underlying these technologies, several applications will be showcased as case studies. Students work with these technologies starting with simple applications and then examining real world complex applications.
At the end of this course, students would have mastered the web application development on the server-side. Or instructor's consent.
The Rich Internet Application RIA Development course concentrates primarily on building rich client web applications in the browser for desktop and mobile devices. At the end of this course, students would have mastered the latest and widely used RIA methodologies.
And one course selected from the following some courses may not be available in the online format :. This course covers and relates fundamental components of programs. Students use various data structures to solve computational problems, and implement data structures using a high-level programming language.
Algorithms are created, decomposed, and expressed as pseudocode. The running time of various algorithms and their computational complexity are analyzed. This course is primarily the study of design of graphic algorithms. At the end of the course you can expect to be able to write programs to model, transform and display 3- dimensional objects on a 2-dimensional display. The course starts with a brief survey of graphics devices and graphics software.
Attributes of the primitives are studied as well as filtering and aliasing. Geometric transformations in 2 dimensions are introduced in homogeneous coordinates, followed by the viewing pipeline, which includes clipping of lines, polygons and text. Hierarchical graphics modeling is briefly studied. The graphics user interface is introduced and various input functions and interaction modes are examined.
This is followed by 3-d transformations and the 3-d viewing pipeline. The course ends with a study of algorithms to detect the visible surfaces of a 3-d object in both the object space and the image space. Laboratory Course.
The goal of this course is to provide students with the mathematical and practical background required in the field of data analytics. Probability and statistics concepts will be reviewed as well as the R tool for statistical computing and graphics. Different types of data are investigated along with data summarization techniques and plotting.
Data populations using discrete, continuous, and multivariate distributions are explored. Errors during measurements and computations are analyzed in the course. Confidence intervals and hypothesis testing topics are also examined. The concepts covered in the course are demonstrated using R. This course provides an overview of the statistical tools most commonly used to process, analyze, and visualize data. Topics include simple linear regression, multiple regression, logistic regression, analysis of variance, and survival analysis.
These topics are explored using the statistical package R, with a focus on understanding how to use and interpret output from this software as well as how to visualize results. In each topic area, the methodology, including underlying assumptions and the mechanics of how it all works along with appropriate interpretation of the results, are discussed.
Concepts are presented in context of real world examples. This course presents financial algorithms used in applications of computer science in financial decision analysis, risk management, data mining and market analysis, and other modern business processes. The course covers theoretical background on probabilistic methods used for financial decision making and their application in number of fields such as financial modeling, venture capital decision making, operational risk measurement and investment science.
Number of financial applications and algorithms are being presented for portfolio risk analysis, modeling real options, venture capital decision making, etc. The course concludes with algorithms for financial risk assessment and presents the security concepts and challenges of financial information systems. This course is designed for IT professionals, and those training to be IT professionals, who are preparing for careers in healthcare-related IT Health Informatics.
This course provides a high-level introduction into basic concepts of biomedicine and familiarizes students with the structure and organization of American healthcare system and the roles played by IT in that system. The course introduces medical terminology, human anatomy and physiology, disease processes, diagnostic modalities, and treatments associated with common disease processes. IT case studies demonstrate the key roles of health informatics and how IT tools and resources help medical professionals integrate multiple sources of information to make diagnostic and therapeutic decisions.
This course presents the technological fundamentals and integrated clinical applications of modern Biomedical IT. The first part of the course covers the technological fundamentals and the scientific concepts behind modern medical technologies, such as digital radiography, CT, nuclear medicine, ultrasound imaging, etc. It also presents various medical data and patient records, and focuses on various techniques for processing medical images.
This part also covers medical computer networks and systems and data security and protection. The second part of the course focuses on actual medical applications that are used in health care and biomedical research. Health Information Systems are comprehensive application systems that automate the activities of healthcare delivery including clinical care using electronic health records EHRs , coordination of care across providers, telehealth, management of the business of healthcare such as revenue cycle management, and population health management.
The course covers the functionality of these systems, the underlying information technology they require and their successful operations. It addresses challenges in this rapidly changing field such as complex data, security, interoperability, mobile technology and distributed users. The course emphasizes applied use of health information systems through case studies, current articles, and exercises. In this course we will study the fundamental and design applications of various biometric systems based on fingerprints, voice, face, hand geometry, palm print, iris, retina, and other modalities.
Multimodal biometric systems that use two or more of the above characteristics will be discussed. Biometric system performance and issues related to the security and privacy aspects of these systems will also be addressed. Polymorphism, containers, libraries, method specifications, large-scale code management, use of exceptions, concurrent programming, functional programming, programming tests. Java will be used to illustrate these concepts. Students will implement a project or projects of their own choosing, in Java, since some concepts are expressible only in Java.
This course provides students with a comprehensive overview of the principles, processes, and practices of software project management.
Students learn techniques for planning, organizing, scheduling, and controlling software projects. There is substantial focus on software cost estimation and software risk management. Students will obtain practical project management skills and competencies related to the definition of a software project, establishment of project communications, managing project changes, and managing distributed software teams and projects.
Theory and practice of security and quality assurance and testing for each step of the software development cycle. Verification vs. Test case design techniques, test coverage criteria, security development and verification practices, and tools for static and dynamic analysis. Test-driven development. Graduates of this program will qualify as entry-level web developers and web development support personnel.
Prospective students - go to bhcc. Milestone courses should be taken in the order shown. Due to course prerequisites and the order required courses are sequenced, it is not possible to complete this certificate program in two semesters. CMT Javascript. Prerequisite: CMT
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