BUSN 659 | INTERNATIONAL BUSINESS
This course provides an overview of business practices in an interdependent, integrated, global economic system. A focus will be placed on understanding the opportunities and challenges that businesses must address in the face of globalization with emphasis on best practices in international business.
BUSN 689 | ORGANIZATIONAL BEHAVIOR
Fundamentals of robotics with an emphasis on mobile robots, which are intelligent integrated mechanical, electrical and computational systems functioning in the physical world. Topics include state-of-the-art technologies in mobile robotics, such as locomotion, sensing, control, communication, localization, mapping, navigation, etc. Advanced topics such as coordination of multiple mobile robots will also be explored. The course aims to provide both theoretical and practical experience to students through lectures and simulation software. Students will also complete independent projects or research on current topics covering mobile robotics technologies and related fields.
CE-652 | ARTIFICIAL INTELLIGENCE FOR AUTONOMOUS DRIVING
A comprehensive examination of different organizational behavior theories will be conducted including the analysis at individual, group and organizational levels. Individual levels include perception, personality, and motivation. Group levels will include decision making, group dynamics and team building. Organizational levels will include communications, empowerment, leadership, diversity and cross-cultural issues. Experiential activities will include class exercises such as case studies, videos, and survey instruments as well as team and individual assignments.
This course will provide introductory theories and technologies in artificial intelligence focusing on machine learning, covering a wide range of machine learning methods, concepts, and applications. Machine learning studies algorithms that learn from large quantities of data, identify patterns and make predictions on new data. The major machine learning fields are computer vision, robotics, autonomous driving, voice/gesture recognition, and automated planning & scheduling, etc. Students will study the concepts that underlie intelligent systems and investigate advanced topics in intelligent systems through a course project.
ECE-610 | MODELING OF DYNAMIC SYSTEMS
MS in Engineering: Electrical & Computer Engineering-Advanced Mobility
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FINC 619 | FINANCIAL MANAGEMENT
This course covers modeling, simulation, and analysis of multivariable dynamic systems. Approaches to modeling a variety of dynamic physical systems are discussed using examples of dynamic systems taken from a variety of fields. The course places emphasis on modeling and analysis of electric vehicle systems and components. Transient and steady state behavior of power electronic circuits using state space models is included in this course. These systems are simulated using MATLAB simulation tools. Most of the course is devoted to the analysis of linear systems using now classical techniques based on linear algebra, state-space representations and the state transition matrix.
The performance of the financial management role in a firm is provided in this course. The first half of the course focuses on the theoretical valuation of stocks and bonds and the capital markets in which they are traded. The second half of the course focuses on both the use of financial leverage by the firm and working capital management. The need for financial managers to provide both ethical and legal leadership for the firm is stressed throughout the course.
ECE-630 | DIGITAL SIGNAL PROCESSING TECHNIQUES FOR AUTOMOTIVE ENGINEERING
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MGMT 609 | TECHNOLOGY MANAGEMENT
This graduate-level course is designed to introduce critical digital signal/ image processing principles/theories and techniques applied to a variety of automotive engineering applications. Special focus is given to autonomous driving and NVH analysis. Examples include but are not limited to edge detection methods in traffic sign recognition and identification; Kalman filtering for vehicle state estimation; Modal analysis (frequency domain) and expansion to time-frequency domain analysis of dynamic response using techniques such as wavelets and Empirical Mode Decomposition (EMD). MATLAB will be heavily used for analysis and simulations.
This course is an overview of the management of technology and its impact on contemporary organizational performance. The focus of the course is on the application of skills, and knowledge required of managers and professionals responsible for technology implementation in a product or service development environment. Concepts of cybersecurity and managing technology in the future are considered. Case studies and simulations are used to bring to life the critical challenges confronting managers of technology.
ECE-632 | AUTOMOTIVE CONTROL SYSTEMS
MS in Engineering: Electrical & Computer Engineering-Advanced Mobility Courses
Set yourself apart in this high demand industry and earn your MS Engineering-ECE-Advanced Mobility degree from Kettering University. The 40-credit MS Engineering-ECE-Advanced Mobility curriculum includes 10 courses consisting of 9 core courses and your choice of an elective.
ISYS 669 | ENTERPRISE INFORMATION SYSTEM MODELS
This class will focus on applying students’ knowledge of fundamental principles of control systems to a variety of systems within automobiles. Specific topics will include the control of the air-fuel ratio, spark timing, idle speed, transmissions, cruise and headway, lane-keeping and active suspensions. Other topics may include anti-lock brakes, traction control, and vehicle stability control. Simulations will be used, and students will be using MATLAB/Simulink for many of the assignments.
This course overviews information systems (IS) at two levels: the strategic role of IS and a process-oriented view of the organization and its relationships with suppliers, customers, and competitors. We view processes as vehicles for achieving strategic objectives and transforming the organization. The major focus of the course is how organizations implement processes globally using enterprise resource planning (ERP), supply chain management (SCM), customer relationship management (CRM) Product Lifecycle Management (PLM) and social networks. The course also provides a brief IS infrastructure overview and addresses key IS management topics. Students learn about the ethical and legal implications of information systems.
ECE-642 | MACHINE DRIVES FOR ELECTRIC VEHICLES
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MGMT 619 | PROJECT AND CHANGE MANAGEMENT
Methods of controlling electric machines and their applications in electric vehicles are discussed. Topics include solid-state devices; various switching schemes; types of drives; characteristics of motors; controlling motors including vector control; braking of motors; and dynamics of electric drives and applications.
Managing projects within an organizational context, including the processes related to initiating, planning, executing, controlling, reporting, and closing a project are covered in this course. Project integration, scope, time, cost, quality control, and risk management. Managing the changes in organizations resulting from introducing or revising information systems. Identifying project champions, working with user teams, training, and documentation. The change management role of the IS specialist.
EE-626 | POWER ELECTRONICS FOR VEHICLE ELECTRIFICATION
Students may select any available Kettering University Online course.
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MGMT 639 | MANAGING PEOPLE AND ORGANIZATIONS
This is an advanced class in power electronics. Advanced converter topologies, control methods and analyses used in electric-vehicle and power-system domains will be discussed. Topics include state-variable modeling of DC-DC converters for closed-loop control system design; isolated DC-DC converter topologies (half, full and dual bridges) and resonant DC-DC converter topologies (series, parallel and series-parallel) for wireless power transfer and battery charging; soft-switching concepts and control methods for isolated DC-DC converters; single-phase and three-phase inverter design; inverter control methods, including six-step, Sine PWM, Space Vector PWM and Discontinuous PWM; and the design and control of multilevel and modular multilevel inverters.
Students are prepared for management positions in high tech and manufacturing companies. In this overview course, students will be introduced to the most important concepts and issues concerning the management and leadership of high technology staff. Subjects include high tech leadership and communication, change management, lean thinking, HR issues, ethics and persuasion.
MS in Engineering: Electrical & Computer Engineering-Advanced Mobility - FAQ
Is there a fee to apply at Kettering University Online?
A comprehensive examination of different leadership theories, with emphasis on relevant empirical evidence and application of the theories to case studies that involve leadership and group functioning are covered in this course. Students will thoroughly examine a professional review of concepts and apply their understanding through a variety of means. Ethics and persuasion are covered.
No. there is no fee to apply at Kettering University Online.
What support do I receive as an online student?
To help close the distance gap, you have personal access to your professors through telephone, voice mail, email, fax and online bulletin boards and/or chat rooms. Professors provide office hours, during which you may contact them to ask questions or discuss course materials. You are assigned a personal Kettering University Online Professional Advisor to assist you with your program from enrollment through graduation. Technical support is also available.
How long does it take to complete a Kettering University Online master’s degree program?
Kettering University Online works around your schedule. We have had students complete a master’s degree in less than a year, while others have taken five years. (You can complete an entire college course in just six to eight weeks, one course at a time, or more, as your schedule allows.) The average time to complete our master’s degree program is two years.