Department of Electrical Engineering and Computer Science

5068 Engineering Building, (307) 766‐2279
Web site: www.uwyo.edu/eecs

Professors:

STEVEN F. BARRETT, B.S. University of Nebraska 1979; M.E. University of Idaho 1986; Ph.D. University of Texas 1993; Professor of EECS 2011, 1999.

RUBEN GAMBOA, B.S. Angelo State University 1984; M.C.S. Texas A&M University 1986; Ph.D. The University of Texas 1999; Professor of EECS 2015, 2002.

JOHN M. HITCHCOCK, B.S. Iowa State University 1999; M.S. 2001; Ph.D. 2003; Professor of EECS 2015, 2003.

JOHN E. McINROY, B.S. University of Wyoming 1986; M.S. Rensselaer Polytechnic Institute 1988; Ph.D. 1991; Professor of EECS 2002, 1991.

SURESH S. MUKNAHALLIPATNA, B.E. University of Bangalore, India 1988; M.E. 1991; Ph.D. University of Wyoming 1995; Professor of EECS 2010, 1997.

CAMERON H.G. WRIGHT, B.S. Louisiana Tech University 1983; M.S. Purdue University 1988; Ph.D. University of Texas 1996; Professor of EECS 2016, 2003.

Associate Professors:

AMY BANIC, B.S. Duquesne University 2003; M.S. University of North Carolina 2005; Ph.D. 2008; Associate Professor of EECS 2012, 2010.

DONGLIANG DUAN, B.E. Huazhong University of Science and Technology 2006; M.S. University of Florida 2009; Ph.D. Colorado State University 2012; Associate Professor of EECS 2019, 2012.

LARS KOTTHOFF, Diplom (M.Sc.) University of Leipzig 2007; Ph.D. University of St. Andrews 2012; Associate Professor of EECS 2022, 2017.

EVA S. FERRE-PIKAL, B.S. University of Puerto Rico 1988; M.S. University of Michigan 1989; Ph.D. University of Colorado 1996; Associate Professor of EECS 2004, 1998.

JOHN F. O’BRIEN, B.S. California State Polytechnic University, Pomona 1991; M.S. University of Wyoming 1997; Ph.D. Rensselaer Polytechnic Institute 2001; Associate Professor of EECS 2009, 2003.

JON M. PIKAL, B.S. Purdue University 1988; M.S. University of Colorado 1993; Ph.D. Colorado State University 1999; Associate Professor of EECS 2005, 1999.

Assistant Professors:

CHAO JIANG, B.E. Chongqing University 2009; Ph.D. Stevens Institute of Technology 2019; Assistant Professor of EECS 2019.

DUONG NGUYEN, B.S. Hanoi University of Science and Technology 2006; M.S. Purdue University 2012; Ph.D. Michigan State University 2021. Assistant Professor of EECS 2022.

NGA NGUYEN, B.S. Hanoi University of Science and Technology 2005; M.S. 2007; Ph.D. Michigan State University 2017; Assistant Professor of EECS 2018. Assistant Professor of EECS 2022.

SHIVANAND SHESHAPPANAVAR,B.E. Visvesvaraya Tech. University; M.T. Visvesvaraya Tech; M.S. Syracuse University, Ph.D. U. Delaware 2023; Assistant Professor of EECS 2023.

DIKSHA SHUKLA, B.S. Kanpur University 2008; M.C.A. Jawaharlal Nehru University 2011; M.S. Louisiana Tech University 2014; Ph.D. Syracuse University 2019; Assistant Professor of EECS 2019. Assistant Professor of EECS 2022.

ZEJIAN ZHOU, B.S. 2016; Stevens Institute of Technology; Ph.D.  Stevens Institute of Technology 2021. Assistant Professor of EECS 2022.

Senior Lecturers:

JAMES S. WARD, B.S. University of Wyoming 1993; M.S. 1997; Senior Lecturer of EECS 2011, 2000.

Assistant Lecturers:

LAURA OLER, B.S. Brigham Young U. , M.S. Massachusetts Institute of Technology , Assistant Lecturer of EECS 2023

DANIEL RADOSEVICH, B.S. University of Wyoming 2018; Assistant Lecturer of EECS 2022.

Adjunct Faculty:

Robin Hill, Elena Oggero, Guido Pagnacco

Professors Emeriti:

Thomas A. Bailey, Jr., Mark Balas, Henry R. Bauer III, James L. Caldwell, Christos T. Constantinides, John R. Cowles, Jerry J. Cupal, Clifford D. Ferris, Jerry Hamann, Raymond G. Jacquot, Robert F. Kubichek, Stanislaw Legowski, John Pierre, John Rowland, John W. Steadman, A.H.M. Sadrul Ula, David Whitman

Lecturers Emeritus:

Jeri R. Hanly

OVERVIEW

The Department of Electrical Engineering and Computer Science is home to three undergraduate ABET accredited programs (Computer Science, Computer Engineering and Electrical Engineering), and M.S. and Ph.D. programs in

Computer Science and Electrical Engineering.  Below we describe each of these programs; first the undergraduate programs and then the graduate programs.

UNDERGRADUATE PROGRAMS

The three undergraduate programs are ABET accredited and lead to a B.S. in Computer Science, Computer Engineering or Electrical Engineering. The first years of the various programs overlap significantly to allow students with an interest in computing or electrical engineering to explore the areas before identifying a specialty.

COMPUTER SCIENCE

A Bachelor of Science degree (B.S.) in Computer Science prepares students for careers in any industry or to continue with graduate study in Computer Science and many other fields. Computer science students learn to approach problems from a computational (algorithmic) point of view, and this approach to problem solving often leads to better and more general solutions. Software systems, information technology, and large-scale data applications are core technologies in every area, and the applications continue to grow with software and information systems becoming more embedded in everyday life. These systems are essential tools in science and engineering, for business and finance, government, communications, medicine, and entertainment. Software systems make the world go round and smart devices, such as phones, tablets, glasses, wearable devices, medical implants are ubiquitous. As a result, computer science has grown from a specialized field to an independent, broadly based area that studies all aspects of the use and understanding of software systems, information, and computational processes. Students studying B.S. in Computer Science at the University of Wyoming have the option to focus their studies by taking a concentration in Cybersecurity. The Cybersecurity certificate captures core technical cyber security foundations and principles, from databases and networks to advanced threat detection and mitigation.  This B.S. program is ABET accredited.

Program Objectives for Computer Science program

The following are the objectives that the Computer Science program is preparing its graduates to achieve:

• Success: Graduates will be employed in a computer science-related field or making progress toward an advanced graduate degree.
• Growing: Graduates show continued learning and leading in computing-related professions.
• Ethics: Graduates exhibit ethical and responsible behavior in all professional and community endeavors.

Program Learning Outcomes for Computer Science program

The program of study in Computer Science enables students to achieve, by the time of graduation:

1. Analyze a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions.
2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
3. Communicate effectively in a variety of professional contexts.
4. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
5. Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
6. Apply computer science theory and software development fundamentals to produce computing-based solutions.

ELECTRICAL ENGINEERING

This curriculum has been designed to provide the depth of understanding necessary to meet challenges of changing technology while being flexible enough to allow students to pursue in-depth study in at least one area of electrical engineering. To attain this, students must understand mathematics and the basic engineering sciences. The fundamental electrical engineering education consists of courses in circuits, networks, electromagnetics, electronics, digital systems, communications, controls, and energy conversion. Selection of elective courses, in consultation with the academic adviser, enables students to specialize in the above-mentioned areas, robotics, microcircuits, microprocessors and high frequency electronics.

Laboratory work associated with electrical engineering courses is an important part of the curricula. This work helps students gain experience in applying the theoretical knowledge they acquire to practical engineering problems. Engineering design is a key component of the curriculum that concludes with significant design experience in the senior year. The program also includes the option listed below.

F.M. Long Bioengineering Option. Named in honor of UW Professor Francis M. Long, this area offers excellent opportunities for those interested in applying the techniques of the electronic engineer to problems of environmental science, biology, and medicine. Employment opportunities exist in state and federal agencies, industry, and medical institutions. Career placement includes such areas as environmental monitoring, design and development of biological and medical instrumentation and clinical engineering. With minor modifications, the curriculum shown may be used as preparation for entrance to medical or dental school.

COMPUTER ENGINEERING

Computer Engineering is a blend of Computer Science and Electrical Engineering. Computer Engineering students receive training that allows them to design complex computer systems and embed them in custom applications such as robots, spacecraft, automobiles, etc. A typical system may interface with a sensor to measure the world, then decide how to best use the information to achieve goals and eventually turn on actuators which perform the needed task. They also develop computer vision systems, high performance computers and software, and the Internet of Things. They take many of the same required courses as Electrical Engineers but fill in their electives with computer specific courses. Graduates can design electric circuits, understand network hardware, design computer systems, and write the software inside those systems. Compared to Electrical Engineers, Computer Engineers have less breadth of knowledge in Electrical Engineering but more depth in software and computer hardware. Compared to Computer Scientists, Computer Engineers know much more about hardware and signal/system theory. Computer Engineers sometimes also major in either Electrical Engineering or Computer Science to get two degrees.

Concurrent Major and Minor

The department offers a concurrent major and minor in both the electrical engineering and computer engineering programs. Consult the department office for a current detailed list of requirements.

Educational Objectives for Electrical and Computer Engineering Programs

Graduates of the University of Wyoming Electrical and Computer Engineering Program will:

• Be able to successfully practice the profession of Electrical or Computer Engineering.
• Be prepared and motivated to accept challenging assignments and responsibilities and be productive members of society.
• Demonstrate successful career growth (e.g., professional registration, graduate school, promotion and advancement, patents, publications).

Student Outcomes Electrical and Computer Engineering Programs

All Electrical (Computer) Engineering graduates shall demonstrate:

1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2. 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
3. an ability to communicate effectively with a range of audiences
4. 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
5. 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
6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Grade Policy

Electrical and computer engineering majors must achieve a grade of C (2.000) or better on courses that are prerequisites for courses within the student’s course of study. Students must also achieve a grade of C (2.000) or better in all required mathematics courses.

Graduate Study - Computer Science

The Department offers graduate work leading to the Master of Science degree in computer science and the Doctor of Philosophy in computer science. The Department also offers a graduate minor in computer science.

Program Specific Admission Requirement

Applicants for a graduate degree in computer science are expected to have completed undergraduate courses in Algorithms and Data Structures (COSC 3020 equivalent), Theory of Computing (COSC 4100 or COSC 4200 equivalent), Operating Systems (COSC 4740 equivalent), and Programming languages or Compilers (COSC 4780 or COSC 4785 equivalent). Applicants to the doctoral program must have completed a bachelor’s or master’s degree in computer science or a closely related discipline at an accredited university or college.

The Graduate Record Examination (GRE) is encourage for all applicants.  Our strongest students tend to have scores above these minimums, with quantitative scores often around the 90th percentile or higher.

Students whose native language is not English must also complete the Test of English as a Foreign Language (TOEFL) with a score of at least 550 on the paper based TOEFL; 213 on the computerized test including a 58 or better in section 1-Reading; 80 for the Internet based TOEFL (iBT) including a score of 23 or better in section 1-Reading or the International English Language Testing System (IELTS) test with a 6.5 score or better. Students may also use the Duolingo exam, with a minimum of 105 overall and 125 in the Literacy section.

You must submit to the online application system contact information for three references that can evaluate your potential for graduate study in computer science. If you wish to pursue a Ph.D., the letters should address your ability to pursue quality original research. Letters should also evaluate your oral and written communication skills.

If you meet the minimum criteria and would like to formally apply for admission you will also need to submit the following information during the completion of your application via the application portal:

Copies of transcripts from all colleges and universities (minimum GPA or equivalent 3.00 on a scale of 4.00) for all degrees attained. International applicants must submit copies of individual semester transcripts, consolidated transcripts will not be accepted.

Copy of GRE scores a minimum percentile of 40% on verbal and 65% on quantitative portions of the exam. The majority of admitted students tend to have scores above these minimums.

Contact information for three recommendation letters (applicants should follow up with recommenders to ensure this requirement is fulfilled; applications will not be processed further until all recommendations have been received).

International students will also need to submit a copy of TOEFL scores, IELTS scores, or Duolingo scores.

High performing undergraduates in computer science can elect for Quick Start admission to the graduate program, allowing the sharing of up to six credit hours of 5000-level coursework toward the completion of both the B.S. and the graduate degree programs.

Graduate Program in Electrical Engineering

The department offers programs of study leading to the Master of Science and Doctor of Philosophy degrees in electrical engineering. Study programs are individually planned to students’ interests in both course work and research. The areas of major concentration at the graduate level are:

Bioengineering

Computer Vision

Controls

Electrical Energy Systems Electronic Systems and Devices Robotics

Machine Learning  

Robotics

Signal Processing and Computer Networks

The department also offers a combined B.S./M.S. program for exceptional students wishing to obtain both degrees in a shorter period.

Program Specific Admission Requirements

A complete application must include:

Statement of purpose
Official transcripts from all post-secondary institutions attended
TOEFL total of 79 iBT or IELTS total 6.5.

Additionally, all international students who are state-funded teaching assistantships or any international student with teaching responsibilities are required to complete an Oral Proficiency Interview (OPI). Students will need to follow the recommendations to improve their English skills. Students on state-funding who fail to follow the recommendations or do not meet the minimum proficiency by the end of their first semester will not be able to receive any state-funding until they have demonstrated proficiency.

Programs

• Computer Engineering, B.S.
• Computer Science, B.S.
• Electrical Engineering, B.S.
• Electrical Engineering, F.M. Long Bioengineering, B.S.

• Computer Engineering Minor
• Computer Science Graduate Minor
• Computer Science Minor
• Electrical Engineering Minor

• Computer Science, M.S.
• Computer Science, Ph.D.
• Electrical Engineering, M.S.
• Electrical Engineering, Ph.D.

• Cybersecurity Certificate

• Electrical and Computer Engineering Quick Start, B.S./M.S.

Courses

• EE 3311 - Electronics I
• EE 3312 - Electronics I Laboratory
• EE 3331 - Electronics II
• EE 3332 - Electronics II Laboratory
• EE 3510 - Electric Machines and Power Systems
• EE 3890 - Engineering Honors Program Research Methods
• EE 4075 - C++ with Numerical Methods for Engineers
• EE 4220 - Probabilistic Signals and Systems
• EE 4245 - Digital Signal Processing
• EE 4250 - Network Synthesis
• EE 4300 - Microwave and RF Circuits
• EE 4330 - Electronic Systems Design
• EE 4340 - Semiconductor Materials and Devices
• EE 4345 - Hardware Digital Signal Processing
• EE 4360 - VLSI Design
• EE 4390 - Microprocessors
• EE 4440 - Communication Theory
• EE 4490 - Hardware Descriptive Language (HDL) Digital Design
• EE 4510 - Power Systems
• EE 4590 - Real Time Embedded Systems
• EE 4620 - Automatic Control Systems
• EE 4621 - Honors Automatic Control Systems
• EE 4800 - Problems in _____
• EE 4820 - Senior Design I
• EE 4830 - Senior Design II
• EE 4870 - Computer Network Hardware
• EE 4990 - Advanced Microprocessors
• EE 5210 - Systems Theory
• EE 5300 - Microwave and RF Circuits
• EE 5330 - Advanced Electronic Systems Design
• EE 5340 - Advanced Semiconductor Material and Devices
• EE 5350 - Optoelectronic Semiconductor Materials and Devices
• EE 5360 - Digital VLSI Design
• EE 5390 - Computer Architecture
• EE 5400 - Introduction To Robotics
• EE 5410 - Neural and Fuzzy Systems
• EE 5430 - 3-D Computer Vision
• EE 5440 - Geometric/Deep Computer Vision
• EE 5450 - Topics in Robotics
• EE 5460 - Probabilistic Robotics
• EE 5490 - Convex Optimization
• EE 5590 - Real Time Embedded Systems
• EE 5600 - Statistical Signal Processing in:
• EE 5610 - Random Processing Theory I
• EE 5620 - Digital Image Processing
• EE 5625 - Spectral Analysis
• EE 5630 - Advanced Image Processing
• EE 5640 - Adaptive Filters and Signal Processing
• EE 5650 - Object and Pattern Recognition
• EE 5660 - System Identification
• EE 5670 - Digital Image Formation
• EE 5700 - Power Engineering
• EE 5710 - Electric Power Quality
• EE 5740 - Digital Control Systems
• EE 5770 - Non Linear Systems
• EE 5880 - Problems In Electrical Engineering
• EE 5885 - Special Topics in Electrical Engineering
• EE 5890 - Reliability of Engineering Systems
• EE 5900 - Practicum in College Teaching
• EE 5920 - Continuing Registration: On Campus
• EE 5940 - Continuing Registration: Off Campus
• EE 5959 - Enrichment Studies:
• EE 5960 - Thesis Research
• EE 5980 - Dissertation Research
• EE 5990 - Internship