2019-2020 Catalog [ARCHIVED CATALOG]
Department of Computer Science
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Return to: College of Engineering and Applied Science
4083 Engineering Building, (307) 766‑5190
FAX: (307) 766-4036
Web site: www.cs.uwyo.edu
Department Head: Ruben Gamboa
Professors:
JAMES L. CALDWELL, B.S. State University of New York at Albany 1984; M.S. 1988; M.S. Cornell University 1995; Ph.D. 1998; Professor of Computer Science 2015, 1998.
RUBEN GAMBOA, B.S. Angelo State University 1984; M.S. Texas A&M University 1986; Ph.D. The University of Texas 1999; Professor of Computer Science 2015, 2002.
JOHN M. HITCHCOCK, B.S. Iowa State University 1999; M.S. 2001; Ph.D. 2003; Professor of Computer Science 2015, 2003.
Associate Professor:
AMY BANIC, B.S. Duquesne University 2003; M.S. University of North Carolina 2005; Ph.D. 2008; Assistant Professor of Computer Science 2012, 2010.
Assistant Professors:
MIKE BOROWCZAK, B.S. University of Cincinnati 2007; Ph.D. 2013; Assistant Professor of Computer Science 2018.
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 Computer Science 2019.
LARS KOTTHOFF, Diplom (M.Sc.) University of Leipzig 2007; Ph.D. University of St. Andrews 2012; Assistant Professor of Computer Science 2017.
CHAO LAN, B.Eng. Nanjing University of Posts and Telecommunications 2008; M.Eng. 2011; Ph.D. University of Kansas 2017; Assistant Professor of Computer Science 2017.
Senior Lecturer:
ALLYSON A. ANDERSON, B.S. University of Wyoming 1991; M.S. 1994; Senior Lecturer of Computer Science 2008, 1994.
JAMES S. WARD, B.S. University of Wyoming 1993; M.S. 1997; Senior Lecturer of Computer Science 2011, 2000.
Associate Lecturer:
KIM BUCKNER, B.S. Chapman University 1993; M.S. University of Tennessee, Knoxville 1998; Ph.D. 2003; Associate Lecturer of Computer Science 2014, 2008.
Professor Emeritus:
Thomas A. Bailey, Jr., Henry R. Bauer III, John R. Cowles, John Rowland
Lecturer Emeritus:
Jeri R. Hanly
A Bachelor of Science degree (B.S.) in Computer Science prepares students for careers in virtually any industry or to continue on 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 and more embedded in the fabric of 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 can study for the B.S. degree in Computer Science and have the option to focus their studies by taking a concentration in Business, Big Data, or the Cybersecurity certificate. The Cybersecurity certificate captures core technical cyber security foundations and principles, from databases and networks to advanced threat detection and mitigation. All of the Computer Science concentrations lead to a Bachelor of Science in Computer Science and all programs are ABET accredited.
Program Objectives
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
The program of study in Computer Science enables students to achieve, by the time of graduation:
- Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
- Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
- Communicate effectively in a variety of professional contexts.
- Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
- Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
- Apply computer science theory and software development fundamentals to produce computing-based solutions.
Graduate Study
The Department of Computer Science 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 degree in computer science or a closely related discipline at an accredited university or college.
The Graduate Record Examination (GRE) is required of all applicants. GRE scores are required with minimums of 40th percentile for the verbal score and 65th percentile for the quantitative score. Our strongest students tend to have scores substantially 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.
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 3.000 on a scale of 4.000) 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 substantially 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, or IELTS 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.
Return to: College of Engineering and Applied Science
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