BUSN 659 | INTERNATIONAL BUSINESS
ECE-610 | MODELING OF DYNAMIC SYSTEMS
An overview of the expanding role of international business in the world marketplace is provided. Emphasis is placed on exploring the complex issues relating to the best practices in International Business. This course will use case studies to illustrate the major topics
BUSN 689 | ORGANIZATIONAL BEHAVIOR
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 classical techniques based on linear algebra, state-space representations, and the state transition matrix.
ECE-630 | DIGITAL SIGNAL PROCESSING TECHNIQUES FOR AUTOMOTIVE ENGINEERING
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 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.
ECE-642 | MACHINE DRIVES FOR ELECTRIC VEHICLES
MS Engineering-ECE-Advanced Mobility
The only program of its kind to equip graduates with skills for emerging industries like automotive engineering and advanced mobility.
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FINC 619 | FINANCIAL 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.
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.
CE-652 | ARTIFICIAL INTELLIGENCE FOR AUTONOMOUS DRIVING
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MGMT 609 | Technology Management
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.
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.
EE-626 | ADVANCED POWER ELECTRONICS FOR VEHICLE ELECTRIFICATION
MS Engineering-ECE-Advanced Mobility Featured Courses
Set yourself apart in this high demand industry and earn your MSECE - Advanced Mobility Focus degree from Kettering University. Below is the list of courses you will take while enrolled in the online Electrical and Computer Engineering degree at Kettering University Online:
ISYS 669 | ENTERPRISE INFORMATION SYSTEM MODELS
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.
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-632 | AUTOMOTIVE CONTROL SYSTEMS
To complete the required coursework, ECE students must choose 2 courses from the following block:
MGMT 619 | PROJECT AND CHANGE MANAGEMENT
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.
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.
MGMT 639 | MANAGING PEOPLE AND ORGANIZATIONS
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.
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.
Online Master of Science Electrical and Computer Engineering Career Outlook
Intense competition among companies and a skills gap have created tremendous demand for top engineering talent related to advanced mobility:
Salaries in the San Francisco Bay Area for self-driving car engineers, including annual bonuses and equity, averaged $295,000 in 2017 – Forbes
- In 2017, 5,000 software and electronics positions in the auto industry were unfilled in the U.S. – The Fuse
- Connected and autonomous vehicle workers are needed across 49 different occupations – from IT and cybersecurity to civil and transportation systems engineering – Industry Week
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.