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EEE 5354L Semiconductor Device Fabrication Laboratory 3 Credits

Grading Scheme: Letter Grade

This course will be offering hands-on experience in semiconductor material characterization and device fabrication techniques.

EEE 5776 Applied Machine Learning 3 Credits

Grading Scheme: Letter Grade

Major machine learning concepts with a focus on application. Topics include classification, regression, unsupervised learning, maximum likelihood, Bayesian, and deep learning models.

Prerequisite: Math for Intelligent Systems, Programming for ADE, and Applied Data Science.

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EEE 6778 Applied Machine Learning II 3 Credits

Grading Scheme: Letter Grade

Advanced topics in applied machine learning with an applied focus. Topics include graphical models, unsupervised learning, model selection, as well as variational auto-encoder, generative adversarial network, and recursive deep learning architectures.

Prerequisite: EEE 5776 Applied Machine Learning.

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EGN 5010L NRF Training Lab 1 Credit

Grading Scheme: Letter Grade

This course will be teaching Nanoscale Research Facility (NRF) cleanroom users the fundamental and practical aspects of various micro/nanofabrication processes via combination of classroom lectures and hands-on labs.  Students will also recieve training on one or more NRF tools.

EGN 5215 Machine Learning Applications in Civil Engineering 3 Credits

Grading Scheme: Letter Grade

Students will leverage state-of-the-art techniques and tools in machine learning to solve Civil Engineering problems. Fundamentals of data analytics and machine learning techniques will be applied to real-world tasks in Civil Engineering. Students will gain essential knowledge and programming skills (using R) in data preprocessing, feature selection, model comparison, hyperparameter tuning and machine-learning interpretation. Case studies and applications are included for hands-on experience.

Prerequisite: Undergraduate level courses in probability and statistics.

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EGN 5442 Programming for Applied Data Science 3 Credits

Grading Scheme: Letter Grade

Concepts used to skillfully apply and create new Data Science algorithms using a high-level language such as Python or R.

Prerequisite: Previous experience with computer programming strongly encouraged.

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EGN 6446 Mathematical Foundations for Applied Data Science 3 Credits

Grading Scheme: Letter Grade

Understand and apply machine learning statistical models including functions of random variables, Monte Carlo, convergence, estimation, and hypothesis testing. Understand and apply optimization algorithms including constrained and unconstrained, first and second order, stochastic and gradient descent, and nonconvex.

Prerequisite: COT 5615.

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EGN 6640 Entrepreneurship for Engineers 3 Credits

Grading Scheme: Letter Grade

Introduction to entrepreneurship, idea generating and feasibility analysis, and business planning. Lectures, case studies, student-led discussions, team business plans, and investor presentations.

Catalog Program Pages Referencing EGN 6640

EGN 6642 Engineering Innovation 3 Credits

Grading Scheme: Letter Grade

Concepts of innovative thinking and innovation practices. Using lectures, case studies, team exercises, and guest speakers, the course teaches life skills in innovative thought and action that students can use in careers ranging from starting companies to executing RD projects in large companies.

Catalog Program Pages Referencing EGN 6642

EGN 6913 Engineering Graduate Research 0-3 Credits

Grading Scheme: S/U

Course will provide the student with supervised research in a laboratory setting.

Catalog Program Pages Referencing EGN 6913

EGN 6933 Special Topics 1-3 Credits, Max 12 Credits

Grading Scheme: Letter Grade

Special Topics in Engineering, not specific to a major.

Catalog Program Pages Referencing EGN 6933

EGN 6937 Engineering Fellowship Preparation 0-1 Credits

Grading Scheme: Letter Grade

Engineering Fellowship Preparation will instill in students an understanding of the fellowship and grant process.

Catalog Program Pages Referencing EGN 6937

EGS 6039 Engineering Leadership 3 Credits

Grading Scheme: Letter Grade

Concepts, theory and practice of engineering leadership; effective written and oral communications and presentations; engineering leadership characteristics, individual differences and self-awareness; developing and building teams; managing change, conflicts, and crises; and understanding real-world ethics and core values.

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EGS 6050 Foundations in Engineering Education 2 Credits

Grading Scheme: Letter Grade

An introduction to fundamental issues, questions, and approaches to engineering education.

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EGS 6056 Learning and Teaching in Engineering 1 Credit

Grading Scheme: Letter Grade

Learn and apply evidence-based teaching and assessment techniques. Understand how to create course content based on the student-centered learning approach to teaching. Be introduced to methods to foster an inclusive classroom environment to support diverse learners in your classroom. Develop teaching philosophy based on the principles provided through this course

Prerequisite: Enrolled in a graduate-level engineering program.

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EGS 6101 Divergent Thinking 3 Credits

Grading Scheme: Letter Grade

Focuses on student acquisition of divergent thinking skills to support the engineering design process. It emphasizes the importance of student practices such as observing, questioning, learning and experimenting, and stresses cultivating an openness to new experiences, in order to generate ideas and devise solutions to complex design problems.

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EGS 6626 Fundamentals of Engineering Project Management 3 Credits

Grading Scheme: Letter Grade

Provides engineering students with a comprehensive understanding of how to plan, optimize and efficiently manage projects (or tasks) to implement products, services or developments. This includes building the structure, processes, components and linkages with a team for successful project delivery within schedule, budget and quality requirements.

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EGS 6628 Advanced Practices in Engineering Project Management 3 Credits

Grading Scheme: Letter Grade

Applied Engineering Project Management expands on foundational project management practices to include complex as well as new project delivery concepts. Topics include project acquisition; negotiation skills; advanced risk planning and management; program management; project.

Prerequisite: EGS 4625/6626, Fundamentals of Engineering Project Management, or equivalent (with permission of the instructor).

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EGS 6681 Advanced Engineering Leadership 3 Credits

Grading Scheme: Letter Grade

Designed to further develop the leadership framework and capabilities of graduate engineering students. It involves a case study-based instructional approach that reviews and applies strategic leadership concepts and knowledge critical to the success of engineering-based companies that now operate in a highly-uncertain and volatile business environment.

Prerequisite: EGS 6039 or instructor approval.

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ESI 6900 Principles of Engineering Practice 1-4 Credits, Max 8 Credits

Grading Scheme: Letter Grade

Course work in specialized topics for graduate students.

Prerequisite: consent of instructor.

Catalog Program Pages Referencing ESI 6900