Mission Statements – EECS

Computer Engineering

Mission

To provide a solid technical foundation that prepares students for a career that can adapt to rapidly changing technology in computer engineering.

Goals

To educate students with a broad and in-depth knowledge of computing systems, and to develop leaders in this field.

Objectives

  • Graduates should be able to apply the technical skills necessary to design and implement low level computer systems and applications.
  • Graduates should have the theoretical and practical skills needed for advanced graduate education.
  • Graduates should be able to work effectively on teams, to communicate in written and oral form, to practice life-long learning, and to develop the professional responsibility needed for successful technical leadership positions.

Outcomes

The outcome we desire is that our graduates demonstrate:

  • 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; and
  • An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Students should also have knowledge of discrete mathematics, probability and statistics, mathematics through differential and integral calculus; sciences; and engineering topics (including computing science) necessary to analyze and design complex electrical and electronic devices, software, and systems containing hardware and software components.

Computer Science

Mission

To provide each student with a solid foundation in the scientific, engineering, and societal aspects of computing that prepares the student for a career that can advance the creation and application of computing technologies for the benefit of society.

Goals

To educate students with core knowledge of the software, hardware, and theory of computing; to give each student in-depth knowledge in one or more computing areas, and to develop leaders in this field.

Objectives

  • To provide the necessary foundation in the principles and methods of computer science while preparing students for a broad range of responsible technical positions in industry and/or advanced graduate education.
  • To provide the technical skills necessary to design and implement computer systems and applications, to conduct open-ended problem solving, and apply critical thinking.
  • To provide an opportunity to work effectively on teams, to communicate in written and oral form, and to develop an appreciation of ethics and social awareness needed to prepare graduates for successful careers and leadership positions.

Outcomes

The outcome we desire is that our graduates demonstrate:

  • 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 its 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 audiences
  • An ability to analyze the local and global impact of computing on individuals, organizations, and society
  • Recognition of the need for and an 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.

Data Science

Mission

To provide each student with a solid foundation in techniques for deriving insights from data that may be complex, heterogeneous, voluminous, and rapidly changing.

Goals

To produce students with intellectual understanding of both statistical and computing principles for exploring methods and algorithms related to data science so as to enable knowledge creation and decision-making in various application domains.

Objectives

  • To provide the necessary foundation in the principles and methods of data science while preparing students for a broad range of responsible technical positions in industry and/or advanced graduate education.
  • To provide the technical skills necessary to ingest, curate, manage, query, analyze, and transform data.
  • To provide an opportunity to communicate in written and oral form, to develop an appreciation of ethics, security, and privacy in the digital world, and to prepare graduates for successful careers and leadership positions.

Outcomes

The outcome we desire is that our graduates demonstrate:

  • An ability to apply knowledge of mathematics, science, and engineering to problem solving.
  • Knowledge of probability and statistics, including applications appropriate to data science.
  • An ability to design and conduct experiments, as well as to analyze and interpret data.
  • An ability to select ways of storing and analyzing data to meet desired needs, both in memory and on persistent storage.
  • An ability to design and implement automated or semi-automated methods to help curate, query, and transform data.
  • An ability to apply machine learning and statistical techniques to help analyze large datasets and to create prediction models or decision models.
  • An ability to analyze data in the context of an application domain.
  • An understanding of professional and ethical responsibility.
  • An ability to communicate effectively.
  • The broad education necessary to understand the impact of data science solutions in a global and societal context

Electrical Engineering

Mission

To provide an outstanding education for engineers in electrical engineering and to develop future leaders.

Goals

To provide students with the education for a rewarding and successful career.

Objectives

  • Graduates should be prepared for entry-level engineering jobs, for graduate school, or for entrepreneurial activities based on their rigorous education in the fundamentals and applications of electrical engineering, including laboratory and design work.
  • Graduates should be able to pursue a variety of careers, based on a curriculum that allows for a balance between a deep education in one area and a broad education in several areas.
  • Graduates should be able to work effectively on diverse teams, to communicate in written and oral form, to practice life-long learning, and to develop the professional skills and ethics needed for successful leadership positions.

Outcomes

The outcome that we desire is that our graduates demonstrate:

  • 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

Enrollment and Graduation Data

Computer Engineering

The University Registrar publishes the number of students enrolled annually in this program, and the number of degrees granted each term by this program.

Computer Science Engineering

The University Registrar publishes the number of students enrolled annually in this program, and the number of degrees granted each term by this program.

Data Science Engineering

The University Registrar publishes the number of students enrolled annually in this program, and the number of degrees granted each term by this program.

Electrical Engineering

The University Registrar publishes the number of students enrolled annually in this program, and the number of degrees granted each term by this program.

Accreditation

Our program is accredited by the Engineering Accreditation Commission of ABET.

Program Outcomes

The matrix maps how each course in our curriculum addresses our program outcomes. Only the outcomes tracked are noted below. 

Course

Student Outcomes (Black – High)

  Apply math and science Design Communicate Ethics Teams Experiments, Analyze, and Interpret Data Lifelong Learning

EECS200

             

EECS215

             

EECS300

             

EECS301

             

EECS411

             

EECS413

             

EECS425

             

EECS427

             

EECS430

             

EECS438

             

EECS452

             

EECS470

             

EECS473

             

EECS496

             

TCHNCLCM300

             

TCHNCLCM496