Undergraduate Courses

This course deal with the challenges associated with the variety and volume of information encountered in today's workplace, and working with others in a software development environment.  Students will analyze and work with both structured and semi-structured data, using the python programming language.  Students will learn about the types of software development environments they are likely to encounter in their careers.  The capstone of the course is a small-group project that analyzes real-world data to answer a business or research question.

This course presents the tools and techniques for project definition, work breakdown, estimating, resource planning, critical path development, scheduling, project monitoring and control and scope management. Students will use project management software to accomplish these tasks. In addition, the student will become familiar with the responsibilities, skills and effective leadership styles of a good project manager. The role organization design plays in project management will also be addressed.

This course introduces students to the fundamental concepts of financial and managerial accounting, with an emphasis on actions managers can take to more effectively address the goals of the firm. Key topics covered include the preparation and analysis of financial statements, particularly creating cash flow statements needed for engineering economic analysis; consideration of variable costs, fixed costs, cost of goods sold, operating costs, product costs, period costs; job costing and process costing; application of accounting information for decision-making: marketing decisions, production decisions; capital budgeting: depreciation, taxation; budgeting process, master budgets, flexible budgets, analysis of budget variances; asset valuation, and inventory costing. The laboratory portion of the course provides the student opportunity to use the personal computer for solving problems related to the major topics of the course, such as spreadsheet analysis, and in addition covers managerial topics, including sessions focused on group dynamics and teamwork, research using the Internet and business ethics

 This course is an integral part of the Engineering Management program - it    
 provides students with experience and tools for new product/process           
 development.  Students will participate in a semester long class project meant
 to provide the students with insights that will serve to improve their senior 
 project experience.  Participation will be in small groups, and will          
 complement EM385.  Students will explore the detail design through validation 
 in the systems engineering lifecycle.  Tools that have been introduced in     
 earlier engineering management courses may be brought together as part of this
 pre senior design experience.  Students will be required to maintain an       
 engineering notebook throughout the course.

This course covers contemporary decision support models of forecasting, optimization and simulation for management. Students will learn how to identify the problem situation, choose the appropriate methods, collect the data and find the solution. The course also covers handling the information and generating alternative decisions based upon operations research optimization, statistical simulation, and systems dynamic forecasting. Computer simulations will be performed on PCs using user-friendly graphical interface with multimedia report generation for visualization and animation. Students will also be trained in management simulations for group decision support.

Application of forecasting and optimization models to typical engineering management situations and problems. Topics include: optimization theory and its special topics (linear programming, transportation models, and assignment models), dynamic programming, forecasting models, decision trees, game theory, and queuing theory. Applications to resource allocation, scheduling and routing, location of facilities, and waiting lines will be covered.

The aim of the course is to provide an introduction to major business process problems, issues with a focus on process solutions that confront managers in highly competitive manufacturing and service environments.  The course provides students with conceptual frameworks and qualitative/quantitative tools to deal with these issues.  The course also explores the interconnections between business strategy and business processes.  A rigorous introduction is provided for people aspiring to a career in designing and managing business processes, or for people aspiring to enter the management consulting world.

Please contact the Registrar for more information.
Phone: (201)216-5555
Fax: (201)216-8030
E-mail: registrar@stevens.edu

Provides a working knowledge of basic statistics as it is most often applied in engineering. Topics include: fundamentals of probability theory, review of distributions of special interest in statistics, analysis and enumeration of data, linear regression and correlation, statistical design of engineering experiments, completely randomized design, randomized block design, factorial experiments, engineering applications and use of the computer as a tool for statistical analysis.

This project-based course addresses the fundamentals of systems engineering. Principles and concepts of systems engineering within a life-cycle perspective are presented through case studies and applied throughout the course to a student-selected team project. The initial focus is on the understanding of business drivers for systems engineering and the generation of innovative ideas. Students then engage in analysis, synthesis, and evaluation activities as they progress through the conceptual and preliminary design phases. Emphasis is placed on tools and methodologies for system evaluation during all phases of the design process with the goal of enhancing the effectiveness and efficiency of deployed systems as well as reducing operational and support costs.

This year long two-course sequence involves the students in a small-team Engineering Management project. The problem for the project is taken from industry, business, government or a not-for-profit organization. Each student team works with a client and is expected to collect data, analyze it and develop a design by the end of the first semester. In the second semester the design solution of the problem is completed and a written report is submitted for binding. During the year, oral and written progress reports are presented to peers and clients. The total project involves the application of the subject areas covered in the EM 385 Engineering Management Laboratory course, as well as skills learned in the other technical and non-technical courses of the Engineering Management curriculum.

This year long two-course sequence involves the students in a small-team Engineering Management project. The problem for the project is taken from industry, business, government or a not-for-profit organization. Each student team works with a client and is expected to collect data, analyze it and develop a design by the end of the first semester. In the second semester the design solution of the problem is completed and a written report is submitted for binding. During the year, oral and written progress reports are presented to peers and clients. The total project involves the application of the subject areas covered in the EM 385 Engineering Management Laboratory course, as well as skills learned in the other technical and non-technical courses of the Engineering Management curriculum.

 This course will provide an introduction to supply chains, logistics & supply chain management.  Topics covered include supply chain performance and metrics related to facilities, inventory, transportation, sourcing, pricing and information.  Design of distribution networks, forecasting, and planning of demand & supply would be covered.  Contemporary topics like e-business, IT and global supply chains would also be covered.

This course is designed to help with understanding the complexity, structure and dynamic of a highly connected world.  It takes an interdisciplinary look at economics, sociology, information science and applied mathematics to discuss some of the fundamental features of networks and their behavior.  The course is designed to equip students with a modeling lens to analyze, quantify and reason about structures, dynamics and evolution of complex networks.  Key topics that are covered in the course are mathematical description of complex networks, fundamental measures of network structure, diffusion and cascading, voting and economic and market implications.  The course will also have a particular emphasis on game theory as the method to model resource allocation in networks in the presence of autonomous agents.

This course will use tools and techniques which have proven to be of value in recognizing patterns, making predictions, and evaluation risk from both large data sets (using data-mining techniques), and small data sets (using networks constructed from problem definition and discovery).  Both approaches are critical to today's engineers and managers, because they span a range of possible data availability and reliability.  Using these tools and techniques, the student will survey applications, and have hands-on experimenttaion with both data mining and network construction, using real-world examples and situations.

Individual investigation of a substantive character undertaken at an undergraduate level under the guidance of a member of the departmental faculty.  A written report is required.  Hours to be arranged with the faculty advisor.  Prior approval required.  This course can be used as a general elective.  EM 498 and EM 499 cannot be taken simultaneously. 

Individual investigation of a substantive character undertaken at an undergraduate level under the guidance of a member of the departmental faculty.  A written report is required.  Hours to be arranged with the faculty advisor.  Prior approval required.  This course can be used as a general elective.  EM 498 and EM 499 cannot be taken simultaneously.

Aspects of entrepreneurship and business most relevant for technical people and the practice of Technogenesis. Investigates business-related considerations in successfully commercializing new technology. Exposes technologists to five critical aspects of creating a successful new venture and/or a successful product or service business within a existing enterprise : (1) market and customer analysis, (2) beating the competition, (3) planning and managing for profitability, (4) high-tech marketing and sales, and (5) business partnerships and acquisitions. Students should take this course if they: (1) desire to maximize their effectiveness as technologists by understanding the business and customer considerations that impact the work of technologist, (2) intend to lead or participate in a technology based new venture/start-up, or (3) contemplate an eventual transition from a technical to a business management career. It is intended for either advanced undergraduate (junior or senior) or graduate students in engineering or science curricula.

This course supports the senior design students in varying engineering disciplines to develop business ideas for their projects and to successfully convey their ideas to potential investors and other stakeholders.  It is a practical course where students will develop the basic documentation and skills necessary to understand, manage, communicate and present their project from a business perspective.  Early on the emphasis will be on the management of the project and the revision of the design based on prospective users/stakeholers feedback.  Students will be asked to identify and assess the business potential of the technology/technical solution/system that the students are developing in their senior design.  Students will learn how to assess this potential among several, non-technical dimensions, inlcuding the identification and analysis of the target market, the assessment of the competition, and the economic feasibility and financial prospects of a new venture created around the product or technology that is being developed in the senior design.  To culminate their understanding of the challenges of startup processes, the students will develop overview Executive Summaries and be able to describe their project from a business perspective, not just the technical perspective, as well as, present a project/elevator pitch and compete at the Pitch Competition.

This course supports the senior design students in varying engineering disciplines to develop business ideas for their projects and to successfully convey their ideas to potential investors and other stakeholders.  It is a practical course where students will develop the basic documentation and skills necessary to understand, manage, communicate and present their project from a business perspective.  Early on the emphasis will be on the management of the project and the revision of the design based on prospective users/stakeholers feedback.  Students will be asked to identify and assess the business potential of the technology/technical solution/system that the students are developing in their senior design.  Students will learn how to assess this potential among several, non-technical dimensions, inlcuding the identification and analysis of the target market, the assessment of the competition, and the economic feasibility and financial prospects of a new venture created around the product or technology that is being developed in the senior design.  To culminate their understanding of the challenges of startup processes, the students will develop overview Executive Summaries and be able to describe their project from a business perspective, not just the technical perspective, as well as, present a project/elevator pitch and compete at the Pitch Competition.

This course provides students with tools needed to commercialize their senior design technology. Topics include engineering economic analysis and issues of marketing, venture capital, intellectual property and project management. These topics are from the view of an entrepreneur who is creating knowledge that can be licensed and/or used in a start-up business. These topics are critical elements in implementing Technogenesis.

In this course students learn to practice a disciplined engineering process for developing software.  Individual skills and practices, such as effort estimation and unit testing, are mastered so that students can become successful members of software engineering teams.  Best practices in software engineering are followed, including the use of simple design patterns with well-known properties.  Students work in small teams to construct a simple web service using the industry standard Ruby programming language, Rails framework and MySQL database technology.

In this course students learn the fundamentals of object-oriented programming using Java.  Standard design notations from UML are used to describe software designs.  Students write Java programs that use simple data structures, such as lists, queues and stacks.  Fundamentals time and space analyses of traditional computing problem are practiced.  Students also learn how to develop software that avoids security vulnerabilities and work in small teams to construct a simple network application.