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Graduate Courses - Computer Information Systems
CS590 Internship in Information Technology
Prerequisite(s): 3.0 cumulative grade point average and program (MSIT or MBA) and CIS internship coordinator approval.
A one-credit field-based educational experience for Bentley graduate students, with the opportunity to (1) develop an understanding of computer information systems practices in today’s organizations, (2) apply knowledge of computer information systems techniques in a real live setting, (3) develop skills associated with computer-based systems development, deployment and/or support, (4) and develop an understanding and appreciation of today’s diverse business culture and values, including team-based performance norms, self-directed team work, and working in a diverse, global business environment. This internship option is available exclusively to Bentley graduate students who have a CS focus in their program of study (MSIT, MBA/MSIT, MBA/IST). Students must work a minimum of 120 hours at an approved organization, complete a reflection paper, and coordinate their performance appraisal with their specified site supervisor.
CS602 Data-Driven Development With Python
Python is an easy to learn, widely versatile programming language whose extensive collection of external libraries makes it a popular choice for business analytics and visualization, data science, artificial intelligence, scientific and numeric computing, and many other applications. Its compatibility with leading analytics tools that are widely used in enterprises also places it in high demand. Students in this course will first learn the fundamentals of programming that are common to all programming languages. They will then work with Python libraries to perform common analytics tasks. No prior programming experience is required.
CS603 Algorithmic Thinking with Java
This course teaches programming using the Java language, which is widely used in business. By focusing on algorithm development, data structures, logical reasoning skills, and sound programming practices, students learn to analyze and tackle business programs with software solutions. Emphasis is placed on the importance of writing and thoroughly testing code that is well structured and runs efficiently. Students first gain a solid understanding of programming fundamentals before delving into higher-order concepts, including abstract data types. Practical hands-on exercises and assignments using a well-known, integrated development environment reinforce algorithmic thinking, programming, and debugging skills. No prior programming experience is required.
CS605 Data Management and SQL for Analytics
This course teaches foundational data management,retrieval, and manipulation skills with an emphasis on enabling the students to form astrong foundation for analytical processes. It builds a foundation for understandingvarious domains of practice with conceptual data modeling and demonstrates how thesame conceptual needs can be served with different data management technologies. Thecourse covers relational technologies for both operational databases and data warehousesand non-relational data management infrastructures for analytics. The course will help the students develop strong skills in the use of the SQL language for database definition anddata manipulation.
This course provides a technical focus on information, computer and network security, which together form the basis for securing enterprise systems and services. It introduces what cybersecurity means, both in the abstract and in the context of business information systems. Students learn relevant cybersecurity issues, technologies and approaches found in the contemporary enterprise. Students recognize and understand threats to privacy, confidentiality, integrity and service availability as well as best practices to defend both digital and physical assets against such threats.
CS610 Enterprise Architecture
This course explores the design, selection, implementation and management of enterprise IT solutions. The focus is on applications and infrastructure and their fit with the business. Students learn frameworks and strategies for infrastructure management, system administration, content management, distributed computing, middleware, legacy system integration, system consolidation, software selection, total cost of ownership calculation, IT investment analysis, and emerging technologies. These topics are addressed both within and beyond the organization, with attention paid to managing risk and security within audit and compliance standards. Students also read current vendor and analyst publications and hone their ability to communicate technology architecture strategies concisely to a general business audience.
CS612 Cloud-Based Enterprise Applications
Prerequisite(s): CS 603.
Pre or Corequisite(s): CS 605.
This course provides a hands-on introduction to several cloud based technologies and automation tools that are commonly utilized to develop enterprise applications. The course also considers the impact of these technologies in a business context. Students learn how to develop dynamic, data-driven enterprise applications that are continuously integrated and continuously delivered. These applications enable businesses to interact with their customers, employees, and suppliers, and provide online access to information that supports decision-making. Students enrolled in this course are expected to have basic proficiency in a programming language (Java or Python) and relational databases.
CS620 Software Project Management
Prerequisite(s): For MSIT & MSMBA - CS 603 & CS 610; For ELMBA and PMBA - GR 601; for all others - Instructor Permission.
This course provides the technical knowledge and skills for successfully managing and executing globally distributed software projects in agile and hybrid environments. Topics covered include proposal and contract management, requirements management, modeling, user experience, project planning, effort estimation, staffing, automation, status, and quality assurance. Students will learn the methods and tools that support these processes, develop a toolkit for creating a project plan for a distributed application, and engage in a project to improve these capabilities.
CS630 Systems Analysis and Design
Prerequisite(s): CS 603 and CS 605
This course provides the students with skills and knowledge in systems analysis and design. Students develop a conceptual understanding of and practical skills in various domain and systems modeling approaches. They will also learn the fundamentals of key enterprise level systems development approaches. The course covers the impact of development process selection on modeling requirements. The focus is on requirements analysis, process modeling, and domain modeling, together with their documentation with standard specification tools (particularly the Unified Modeling Language). Hands-on projects give students an opportunity to practice their modeling skills and illustrate an effective integration of various modeling techniques throughout an iterative software project life cycle.
CS650 Data Analytics Architectures with Big Data
Prerequisite(s): CS 602 and CS 605
The architecture of modern database systems for data analytics with big data are examined. This course provides a hands-on introduction to several architectures and approaches for data for analytics, including data from operational transactions, sensor data, web logs and social media sites. It explores the different types of data that make up the big data space, and applies capture and storage technologies appropriate for relational and non-relational models, such as clickstreams and user navigation of web sites. Data will be explored using Python-based tools for analytics and visualization. Students enrolled in this course are expected to have basic proficiency in the Python programming language and relational databases.
CS680 Mobile Application Development
Pre or Corequisite(s): CS605
This course is an introduction to developing mobile applications, beginning with mobile operating system capabilities and application architecture and extending to major components, such as activities, services, broadcast receivers and others. Students learn how to develop interactive applications using widget libraries, web-based services, animation, an SQL database engine, and multithreading. Students in this course are expected to have proficiency in Java, website development an SQL queries.
CS701 Internship in Information Technology
Prerequisite(s): Completion of two Information Technology (IT) or Information Systems and Technology (IST) concentration electives
Note: Not open to MSIT students; see CS 881.
This course affords students the opportunity to enhance self-realization and direction by integrating classroom study with experience in vocational learning situations. It requires development of a study plan to identify students' professional goals and to demonstrate how these goals can be furthered through an internship experience. This course includes regular meetings in which students discuss issues and business problems related to their work experience, and defend proposed solutions before fellow students and the internship coordinator.
CS703 Looking into the Future: Automation and Digital Technologies
This course will survey a range of new and evolving digital technologies, their applications and issues surrounding their use. This discussion-based course will be co-taught by several faculty members, who will lead class meetings, followed by discussions examining issues surrounding the use of the presented technologies in practice. The choice of topics will depend on the contributing faculty and vary from one semester to another. Assignments will include extensive readings and reflections on the topics under study, written summaries and group presentations on specific technologies, and the development of forward-looking ideas on applications of technologies of interest to students and faculty members.
CS733 Artificial Intelligence Techniques and Applications
Prerequisite(s): Pre-req: CS 602 and CS 605
This course introduces students to the foundations of artificial intelligence (AI) and its use in automation. Fundamental concepts and techniques behind software agents, automated reasoning, machine learning and robotics are introduced and illustrated with applications in various domains. Students will learn how these techniques can be integrated into business operations and functions to increase productivity and to support strategic decision making in organizations. Students will have opportunities to explore AI-based software and tools and discuss the ethical issues related to the development and use of AI.
CS740 Network and Systems Security
Prerequisite(s): CS 607 or CS 610 or Instructor Permission.
This course provides a technical focus on information, computer and network security, which together form the basis for securing enterprise systems and services. It introduces what enterprise security means, both in the abstract and in the context of real-world information systems. Students learn relevant security issues, technologies and approaches found in the contemporary enterprise. Students recognize and understand threats to confidentiality, integrity and availability as well as best practices to defend against such threats.
CS753 Business Intelligence Methods and Technologies
Prerequisite(s): CS 605 or IPM 652.
This course expands students’ knowledge and skills gained in database management courses and looks in depth at business intelligence methods and technologies. The course examines the entire business intelligence life cycle, including system architecture design, data processing, modeling, warehousing, online analytical processing and reporting. Case studies of organizations using these technologies to support business intelligence gathering and decision-making are examined. This course also provides hands-on experience with state-of-the-art business intelligence methods and tools.
CS795 Special Topics Seminar
Prerequisite(s): Instructor's permission (specific courses may be required for particular topics)
This course offers a structured opportunity for exploring new business applications of emerging hardware or software technologies. It requires active student participation in developing and presenting course materials.
CS801 Information Technology Management and Policy
This course explores the issues and approaches in managing the information systems function in organizations. It takes a senior management perspective in exploring the development and implementation of plans and policies to achieve efficient and effective information systems. The course addresses issues relating to defining the IT infrastructure and the systems that support the operational, administrative and strategic needs of the organization.
CS881 Computer Information Systems Internship
Prerequisite(s): CS 603, CS 605 and CS 607 and Internship Coordinator's permission.
This course provides an opportunity for advanced MSIT students to exercise theory, knowledge and skills developed through the program, by serving as an information systems professional in a real employment environment. Through the internship coordinator, students solicit and respond to internship offers from commercial, governmental and nonprofit employers. Students maintain contact with the internship coordinator and critically analyze their work experience in a formal paper. Students have the option of making a presentation to the CIS community upon completing the internship, which normally spans one academic term.