College of Engineering & Applied Sciences Program Learning Objectives
- Upon completion of the degree, students should be able to solve problems using calculus, differential equations and applied linear algebra.
- Upon completion of the degree, students should be able to solve problems using probability, statistics and data science.
- Upon completion of the degree, students should be able to solve problems using operations research.
- Upon completion of the degree, students should be able to solve problems using discrete mathematics.
- Upon completion of the degree, students should be able to solve problems in financial mathematics.
- Upon completion of the degree, students should be able to solve problems in computational biology.
- Upon completion of the degree, students should be able to demonstrate a mastery of
the foundational techniques and concepts of Advanced Calculus, Linear Algebra, and
EITHER Probability OR Differential Equations.
- Upon completion of the degree, students should be able to demonstrate a mastery of the foundational techniques of a specific discipline within the Mathematical Sciences (Computational Applied Math, Operations Research, Statistics, Computational Biology or Quantitative Finance).
- Upon completion of the degree, students should be able apply computational tools to solve real-world problems in one of the mathematical sciences.
- Upon completion of the degree, students should be able to demonstrate a mastery of
the foundational techniques and concepts of Advanced Calculus, Linear Algebra, and
EITHER Probability OR Differential Equations.
- Upon completion of the degree, students should be able to demonstrate a mastery of the foundational techniques and concepts of Advanced Calculus, Linear Algebra, and EITHER Probability OR Differential Equations.
- Upon completion of the degree, students should be able to demonstrate a mastery of the foundational techniques of a specific discipline within the Mathematical Sciences (Computational Applied Math, Operations Research, Statistics, Computational Biology or Quantitative Finance).
- Upon completion of the degree, students should be able apply computational tools to solve real-world problems in one of the mathematical sciences.
- an ability to apply knowledge of mathematics, science, and engineering;
- an ability to design and conduct experiments, as well as to analyze and interpret data;
- an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, politial, ethical, health and safety, manufacturability, and sustainability
- an ability to function on multidisciplinary teams
- an ability to identify, formulate, and solve engineering problems
- an understanding of professional and ethical responsibility
- an ability to communicate effectively
- the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context
- a recognition of the need for, and an ability to engage in life-long learning
- a knowledge of contemporary issues
- an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
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Upon completion of the degree, students should be able to understand engineering principles in cell biology and human physiology.
- Upon completion of the degree, students should be able to understand and apply numerical methods for data analysis.
- Upon completion of the degree, students should be able to understand what clinical challenges can be addressed by biomedical engineering.
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- Upon completion of the degree, students should be able to understand engineering principles in cell biology and human physiology.
- Upon completion of the degree, students should be able to understand and apply numerical methods for data analysis.
- Upon completion of the degree, students should be able to write a research grant in the area of expertise of the student.
- This program provides a general overview of fundamental concepts and applications in Biomedical Informatics. This course introduces students to the major components of healthcare data analytics, such as healthcare information infrastructure, data standards, computational approaches, and data science methodology. Invited speakers with expertise in clinical, imaging, and translational informatics will discuss the development of novel applications in Genomics, Radiomics, Pathomics, Public Health, and Precision Medicine.
- This program presents a comprehensive overview of human biology, anatomy, and physiology. Students will start by learning about the fundamentals of cell biology, biochemistry, and genetics, followed by a transition into learning about human tissues, organs, and organ systems. The pathophysiology of common diseases are also highlighted to contextualize a working knowledge of the subject matter with the intention of serving as an appropriate starting point for the development of healthcare analytics applications.
- Upon completion of the program, students are expected to learn basic programming skills and be prepared for future data analytics courses. They are expected to understand how to use various tools for data processing and analysis. They are expected to learn basic skills to implement simple programs to achieve different goals. They are expected to learn to debug the code. They are expected to learn to analyze efficiency of the program and to optimize the time and memory consumption.
- Upon completion of the program, students should be able to access data from various public molecular data repositories. They should be able to prepare summaries by performing data processing of high-dimensional datasets that are associated with a range of biological signals, spanning from next generation sequencing to clinical data.
- Upon completion of the program, students are expected to gain the general understanding of the analytical aspects of the Biomedical Imaging Informatics. It covers a broad spectrums of biomedical image analysis techniques: image enhancement, segmentation, registration, object detection, object tracking, event detection, and image classification. The course will also cover a wide range of image modalities: Magnetic resonance imaging, Computed tomography, Ultrasound, Positron emission tomography, Microscopy imaging, etc. The computation/analysis will be carried out using languages such as Matlab and Python.
- Upon completion of the degree, students should be able to participate in groundbreaking research in cutting-edge fields like artificial intelligence and machine learning through completion of a capstone project.
- This program provides a general overview of fundamental concepts and applications in Biomedical Informatics. This course introduces students to the major components of healthcare data analytics, such as healthcare information infrastructure, data standards, computational approaches, and data science methodology. Invited speakers with expertise in clinical, imaging, and translational informatics will discuss the development of novel applications in Genomics, Radiomics, Pathomics, Public Health, and Precision Medicine.
- This program presents a comprehensive overview of human biology, anatomy, and physiology. Students will start by learning about the fundamentals of cell biology, biochemistry, and genetics, followed by a transition into learning about human tissues, organs, and organ systems. The pathophysiology of common diseases are also highlighted to contextualize a working knowledge of the subject matter with the intention of serving as an appropriate starting point for the development of healthcare analytics applications.
- Upon completion of the program, students are expected to learn basic programming skills and be prepared for future data analytics courses. They are expected to understand how to use various tools for data processing and analysis. They are expected to learn basic skills to implement simple programs to achieve different goals. They are expected to learn to debug the code. They are expected to learn to analyze efficiency of the program and to optimize the time and memory consumption.
- Upon completion of the program, students should be able to access data from various public molecular data repositories. They should be able to prepare summaries by performing data processing of high-dimensional datasets that are associated with a range of biological signals, spanning from next generation sequencing to clinical data.
- Upon completion of the program, students are expected to gain the general understanding of the analytical aspects of the Biomedical Imaging Informatics. It covers a broad spectrums of biomedical image analysis techniques: image enhancement, segmentation, registration, object detection, object tracking, event detection, and image classification. The course will also cover a wide range of image modalities: Magnetic resonance imaging, Computed tomography, Ultrasound, Positron emission tomography, Microscopy imaging, etc. The computation/analysis will be carried out using languages such as Matlab and Python.
- This program is designed to expose students to current research and other topics in Biomedical Informatics. Speakers are invited from both on and off campus. This course is part of the BMI Grand Round Series which is CME (Continuing Medical Education) event. Speakers provide a detailed abstract and learning objectives for each session. Nationally known informatics faculty present in this series.
- This program is designed to expose students to grain teaching experience from the Graduate Program Director as part of the degree requirement.
- Upon completion of the degree, students should be able to participate in groundbreaking research in cutting-edge fields like artificial intelligence and machine learning through completion of a dissertation project.
- an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
- an ability to apply engineering design to produce solutions that meet specified needs
with consideration of public health, safety, and welfare,
as well as global, cultural, social, environmental, and economic factors. - an ability to communicate effectively with a range of audiences.
- an ability to recognize ethical and professional responsibilities in engineering situations
and make informed judgments, which must consider the
impact of engineering solutions in global, economic, environmental, and societal contexts - an ability to function effectively on a team whose members together provide leadership,
create a collaborative and inclusive environment, establish
goals, plan tasks, and meet objectives. - an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
- an ability to acquire and apply new knowledge as needed, using appropriate learning
strategies.
- Upon completion of the degree, students should be able to assume positions in industry or research institutions that require knowledge of chemical engineering principles.
- Upon completion of the degree, students should be able to demonstrate leadership, teamwork, ethical conduct and effective communication skills.
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Upon completion of the degree, students should be able to engage in lifelong learning in order to meet the constantly emerging needs of the chemical engineering profession.
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Upon completion of the degree, students should be able to carry out independent research in chemical engineering at the levels required to succeed in academia or industry or related professions.
- Upon completion of the degree, students should be able to assume positions in industry or research institutions that require knowledge of chemical engineering principles.
- Upon completion of the degree, students should be able to demonstrate leadership, teamwork, ethical conduct and effective communication skills.
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Upon completion of the degree, students should be able to engage in lifelong learning in order to meet the constantly emerging needs of the chemical engineering profession.
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Upon completion of the degree, students should be able to carry out independent research in chemical engineering at the levels required to succeed in academia or industry or related professions.
- an ability to apply knowledge of mathematics, science, and engineering;
- an ability to design and conduct experiments, as well as to analyze and interpret data;
- an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
- an ability to function on multidisciplinary teams
- an ability to identify, formulate, and solve engineering problems
- an understanding of professional and ethical responsibility
- an ability to communicate effectively
- the broad education necessary to understand the impact of engineering solutions in global, economic, environmental, and societal context
- a recognition of the need for, and an ability to engage in life-long learning
- a knowledge of contemporary issues
- an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
- an ability to apply knowledge of mathematics, science, and engineering;
- an ability to design and conduct experiments, as well as to analyze and interpret data;
- an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
- an ability to function on multidisciplinary teams
- an ability to identify, formulate, and solve engineering problems
- an understanding of professional and ethical responsibility
- an ability to communicate effectively
- the broad education necessary to understand the impact of engineering solutions in global, economic, environmental, and societal context
- a recognition of the need for, and an ability to engage in life-long learning
- a knowledge of contemporary issues
- an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
- Graduates should acquire strong scientific and technical knowledge in their field of study.
- Graduates should be able to communicate technical information both orally and in writing.
- Graduates with the thesis option should be able to independently acquire new knowledge and complete a research project in the form of a thesis.
- Graduates should acquire strong scientific and technical knowledge in their field of study.
- Graduates should be able to communicate technical information both orally and in writing.
- Graduates should be able to independently acquire new knowledge and make significant contributions to the field of computer, electrical, and related fields by completing an original work in the form of a dissertation.
- Upon completion of the degree, students should be able to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
- Upon completion of the degree, students should be able to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
- Upon completion of the degree, students should be able to communicate effectively with a range of audiences.
- Upon completion of the degree, students should be able to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
- Upon completion of the degree, students should be able to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
- Upon completion of the degree, students should be able to develop and conduct appropriate experimentation, analyze, and interpret data, and use engineering judgment to draw conclusions.
- Upon completion of the degree, students should be able to gain critical competency on background, knowledge and skills in core topics in computer engineering.
- Upon completion of the degree, students should be able to develop critical skills in the chosen specialization area of computer engineering.
- Upon completion of the degree, students should be able to apply the knowledge and skills to develop solutions to address applications and practical challenges in computer engineering.
- Upon completion of the degree, students should be able to develop knowledge of fundamental aspects of computer engineering.
- Upon completion of the degree, students should be able to develop critical skills in the chosen specialization area of computer engineering.
- Upon completion of the degree, students should be able to apply the knowledge and skills to develop solutions to address applications and practical challenges in computer engineering.
- an ability to apply knowledge of computing and mathematics appropriate to the program's student outcomes and to the discipline
- an ability to analyze a problem, and identify and define the computing requirements appropriate to it's solution
- an ability to design, implement and evaluate a computer-based system, process, component, or program to meet desired needs
- an ability to function effectively on teams to accomplish a common goal
- an understanding of professional, ethical, legal, security, and social issues and responsibilities
- an ability to communicate effectively with a range of audience
- an ability to analyze the local and global impact of computing on individuals, organizations, and society
- recognition of the need for, and the ability to engage in, continuing professional development
- an ability to use current techniques, skills, and tools necessary for computing practice
- an ability to apply mathematical foundations, algorithmic principles, and computer science theory in the modeling and design of computer-based systems in a way that demonstrates comprehension of the tradeoffs involved in design choices
- an ability to apply design and development principles in the construction of software systems of varying complexity
- Upon completion of the degree, students will possess a broad background in core Computer Science areas.
- Upon completion of the degree, students will be able to explore at a deeper level one or more topical areas in Computer Science based on their interests.
- Upon completion of the degree, students will be able to participate in long-term research or software development projects.
- Upon completion of the degree, students will be able to pursue a successful career in industry or pursue doctoral research.
- Upon completion of the degree, students will possess the breadth of knowledge in the fundamental aspects of Computer Science.
- Upon completion of the degree, students will have a depth of knowledge in a particular aspect of Computer Science.
- Upon completion of the degree, students will be able to advance the state of the art through the publication of peer-reviewed research.
- Upon completion of the degree, students will be able to participate in teaching activities and communicate novel research results effectively.
- Upon completion of the degree, students should be able to perform basic scientific programming.
- Upon completion of the degree, students should be able to understand basic operating systems and computer architectures.
- Upon completion of the degree, students should be able to understand computer algorithms and data structures.
- Upon completion of the degree, students should be able to perform parallel computing including performance analysis.
- Upon completion of the degree, students should be able to understand numerical algorithms for linear, integral and differential equations and optimization.
- Upon completion of the certificate, students should be able to understand data science including machine learning and elementary statistical and probabilistic approaches.
- Upon completion of the degree, students should be able to communicate effectively across disciplines.
- Upon completion of the degree, students will demonstrate knowledge of modern data management, data analytics, computer programming and machine learning methods.
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Upon completion of the degree, students should be able to demonstrate the ability to think critically in making decisions based on data and modeling, including deep learning.
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Upon completion of the degree, students should be able to demonstrate the ability to use the correct statistical modeling and machine learning techniques for the analysis of data, big or small, in exploratory analysis, confirmative modeling, or predictive modeling to support decision-making.
- Upon completion of the degree, students should be able to demonstrate the ability to translate data into clear, actionable insights.
- Upon completion of the degree, students should be able to demonstrate effective communication skills to facilitate the accurate translation of real life problems into statistical learning models, and subsequently, the effective presentation and dissemination of analysis results and products.
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Upon completion of the degree, students will demonstrate knowledge of modern data management, data analytics, computer programming and machine learning methods.
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Upon completion of the degree, students should be able to demonstrate the ability to think critically in making decisions based on data and modeling, including deep learning.
- Upon completion of the degree, students should be able to demonstrate the ability to use the correct statistical modeling and machine learning techniques for the analysis of data, big or small, in exploratory analysis, confirmative modeling, or predictive modeling to support decision-making.
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Upon completion of the degree, students should be able to demonstrate the ability to translate data into clear, actionable insights.
- Upon completion of the degree, students should be able to demonstrate effective communication skills to facilitate the accurate translation of real life problems into statistical learning models, and subsequently, the effective presentation and dissemination of analysis results and products.
- Upon completion of the degree, students should be able to further demonstrate the ability to create novel applications and/or novel methodologies for data science research problems based on their core learning and creative derivations and programming.
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- Upon completion of the degree, students should be able to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
- Upon completion of the degree, students should be able to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
- Upon completion of the degree, students should be able to communicate effectively with a range of audiences.
- Upon completion of the degree, students should be able to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
- Upon completion of the degree, students should be able to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
- Upon completion of the degree, students should be able to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
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Upon completion of the degree, students should be able to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
- Upon completion of the degree, students should be able to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
- Upon completion of the degree, students should be able to communicate effectively with a range of audiences.
- Upon completion of the degree, students should be able to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
- Upon completion of the degree, students should be able to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
- Upon completion of the degree, students should be able to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
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Upon completion of the degree, students should be able to develop knowledge of fundamental aspects of electrical engineering.
- Upon completion of the degree, students should be able to develop critical skills in the chosen specialization area of electrical engineering.
- Upon completion of the degree, students should be able to apply the knowledge and skills to develop solutions to address applications and practical challenges in electrical engineering.
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Upon completion of the degree, students should be able to develop knowledge of fundamental aspects of electrical engineering.
- Upon completion of the degree, students should be able to develop critical skills in the chosen specialization area of electrical engineering.
- Upon completion of the degree, students should be able to apply the knowledge and skills to develop solutions to address applications and practical challenges in electrical engineering.
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- The student can demonstrate knowledge and skills in AI related fields that go beyond pure algorithms and software to include sensors, hardware, control and applications.
- The student is able to assess what sensor, hardware, control, algorithm components are suitable given a particular AI problem in industry or academia.
- The student can apply the knowledge and skills to implement respective components and integrate them into a full array of solutions to solve the problem.
- The student can interpret the results and evaluate the effectiveness of the solution, and make revisions and improvements to create better solutions.
- Using AI, the student can design solutions to real world applications under practical constraints.
- Upon completion of the degree, students should be able to develop knowledge of fundamental aspects of machine learning.
- Upon completion of the degree, students should be able to develop critical skills in the chosen specialization area of machine learning.
- Upon completion of the degree, students should be able to apply the knowledge and skills to develop solutions to address applications and practical challenges in machine learning.
At the time of graduation, graduates of the Engineering Science program will have attained the following abilities, skills and knowledge:
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an ability to apply knowledge of mathematics, science and engineering
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an ability to design and conduct experiments, as well as to analyze and interpret data
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an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability and sustainability
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an ability to function on multi-disciplinary teams
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an ability to identify, formulate, and solve engineering problems
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an understanding of professional and ethical responsibility
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an ability to communicate effectively
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the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental and societal context
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a recognition of the need for, and an ability to, engage in life-long learning
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a knowledge of contemporary issues
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an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
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- Upon completion of the degree, students should be able to develop knowledge of fundamental aspects of Internet of Things.
- Upon completion of the degree, students should be able to develop critical skills in the chosen specialization area of Internet of Things.
- Upon completion of the degree, students should be able to apply the knowledge and skills to develop solutions to address applications and practical challenges in Internet of Things.
- Upon completion of the degree, students should be able to provide students the tools needed to break down, assess, defend and reflect upon the capital project concepts and techniques used to calculate and justify budget decisions used in today’s technology industry.
- Upon completion of the degree, students should be able to develop and solve mathematical decision models. Management techniques, along with the application of mathematical modeling concepts will be applied.
- Upon completion of the degree, students should be able to illustrate current and classic concepts and theories in leading in engineering organizations and industries.
- Upon completion of the degree, students should be able to develop insights and strategies for managing quality and value in technology-infused manufacturing and service organizations.
- Upon completion of the degree, students should be able to design and implement aspects of large-scale information systems.
- Upon completion of the degree, students should be exposed to diverse application areas ranging from traditional business, finance, and accounting through telecommunications, networks, multimedia, and database management.
- Upon completion of the degree, students should be able to demonstrate technical and business communication skills and effective presentation techniques for a range of audiences.
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Upon completion of the degree, students should be able to assume positions in industry or research institutions that require knowledge of materials science and engineering principles.
- Upon completion of the degree, students should be able to demonstrate leadership, teamwork, ethical conduct and effective communication skills.
- Upon completion of the degree, students should be able to engage in lifelong learning in order to meet the constantly emerging needs of the materials science and engineering profession.
- Upon completion of the degree, students should be able to carry out independent research in materials science and engineering at the levels required to succeed in academia or industry or related professions such as business and law.
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Upon completion of the degree, students should be able to assume positions in industry or research institutions that require knowledge of materials science and engineering principles.
- Upon completion of the degree, students should be able to demonstrate leadership, teamwork, ethical conduct and effective communication skills.
- Upon completion of the degree, students should be able to engage in lifelong learning in order to meet the constantly emerging needs of the materials science and engineering profession.
- Upon completion of the degree, students should be able to carry out independent research in materials science and engineering at the levels required to succeed in academia or industry or related professions such as business and law.
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Students will demonstrate:
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an ability to apply knowledge of mathematics, science, and engineering;
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an ability to design and conduct experiments, as well as to analyze and interpret data;
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an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability;
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an ability to function on multidisciplinary teams;
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an ability to identify, formulate, and solve engineering problems;
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an understanding of professional and ethical responsibility;
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an ability to communicate effectively;
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the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context;
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a recognition of the need for, and an ability to engage in life-long learning;
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a knowledge of contemporary issues;
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an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice;
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an ability to apply the principle of mathematics through multivariate calculus and differential equations;
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an ability to model, analyze, design and realize physical systems, components, or processes;
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an ability to work professionally in both thermal and mechanical systems areas.
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- Upon completion of the degree, students should be able to obtain higher levels of skills in the Mechanical Engineering related fields. There are four focus areas which students can choose to develop expertise in the area of interest and help achieve the objective of his/her career.
- The focus area in energy technology provides the students with a global understanding of current energy challenges. 'Hands on' laboratory and design experience in the areas of Heat pumps, Insulation, Solar thermal, Photovoltaics, Wind turbines, Fuel cells, and Thermo-electrics, as well as theory-based courses focusing on energy transformation, transfer, and storage.
- The focus area in the designing and manufacturing of various products. This concentration is intended to bridge the gap between the analytical and design courses which are the heart of the professional program and the practical problems of producing acceptable components.
- The focus area in Robotics provides analytical and design experience in the areas of ; robotics foundations in kinematics and inverse kinematics, dynamics, serial and parallel manipulator.
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Upon completion of the degree, students should be able to conduct his/her own research in the field of Mechanical Engineering and able to publish technical papers in professional journals.
- Student to conduct successful progress toward the completion of PHD dissertation.
- PhD students should have fundamental knowledge and his/her major area of Mechanical Engineering as well as in applied mathematics.
- Students should obtain graduate level mathematical skills for solving engineering analysis problems and simulating engineering systems. Also, to learn continuous and discrete methods including Initial and boundary value problems for ordinary and partial differential equations
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- Upon completion of the degree, students should be able to develop knowledge of fundamental aspects of networking and wireless communications.
- Upon completion of the degree, students should obtain a high level of proficiency in solving problems in the area of the certificate.
- Upon completion of the degree, students should be able to demonstrate a mastery of the foundational concepts of Quantitative Finance.
- Upon completion of the degree, students should be able to demonstrate a solid understanding of how mathematical approaches can be applied to problems in finance.
- Upon completion of the degree, students should be able demonstrate a breadth of knowledge in the mathematical tools applicable to problems in finance.
- Upon completion of the degree, students should be able to effectively communicate their science to diverse audiences, including peers, professors, employers, policy makers, and various other stakeholders.
- Upon completion of the degree, students should be able to develop data visualization skills, including; an understanding of the role of visual perception, cognition, and the sense making process in human understanding of visual data, an ability to apply techniques from data mining, data science, machine learning, computer graphics, and information visualization to construct visual presentations of data; and finally, an ability to build visual analytics pipelines that enable humans to interactively reason with data and gain insight.
- Upon completion of the degree, students should be able to understand and utilize decision support systems ranging from decision making in public health, natural resource management, and climate adaptation as well as explore different career paths and work environments involved in scientific decision making.
- Upon completion of the degree, students should be able to understand basic data analytics. At the completion of the certificate, students should be able to use data and tools to make informed decisions.
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Upon completion of the degree, students should be able to utilize survey techniques and methods of problem solving as developed by the engineer and applied scientist.
- Upon completion of the degree, students should be able to apply multidisciplinary analysis of the environmental, economic, scientific, engineering, social, and ethical impacts of a technology and of policies for controlling them.
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Upon completion of the degree, students will be able to apply Engineering Economic capital allocation principles and theory. The objective is to give the student a fundamental understanding of what is required to justify the expenditure of capital investments in industry today. The student will also understand how engineering decisions are influenced by financial analysis when making project plans.
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Upon completion of the degree, students should be able to apply the results of this course in project management. The objective is to give the students a fundamental understanding of what is required to plan, organize and carry out projects in industry today. The students will also understand how management decisions are influenced by project and financial analysis when developing project plans.
- Upon completion of the degree, students will carry through the completion of a research development design of a product or service evaluation project based on the proposal submitted and approved in the prerequisite course, EST 440 Interdisciplinary Research Methods.
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Upon completion of the degree, students should be able to use multiple quantitative decision-making techniques and be able to analyze the role of bias in judgements.
- Upon completion of the degree, students should be able to manage technical and social aspects to explain complicated phenomena and demonstrate mastery of socio-technological systems concepts.
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Upon completion of the degree, students should be able to evaluate and criticize the ethical decisions encountered in the engineering design process.
- Upon completion of the degree, students should be able to identify, explain, and apply basic concepts of Science, Technology, Society research including identifying different research methodologies and evaluating competing research claims.
- Upon completion of the degree, students should be able to work collaboratively with faculty to demonstrate the concepts, analytical tools and practical skills learned in the program.
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Upon completion of the degree, students should be able to develop a cadre of scholars who will be engines of national and global leadership in charting and gauging the future course of technologies.
- Upon completion of the degree, students should be able to carry out policy and design/planning research in intersecting socio-technological areas: energy and environmental systems; and engineering & technology workforce policy.
- Upon completion of the degree, students should be able to establish a new model for doctoral education that promotes highly intensive collaborations and uses advanced educational technologies in a fertile, diverse, globally networked laboratory environment that transcends disciplinary boundaries.
- Upon completion of the degree, students should be able to serve as an exemplary resource for regional and national industry and government, as well as for schools, colleges/universities, and other educational institutions in both implementing technological innovation and carrying out policy studies.
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