Office of University Assessment Logo 2014 Program Plan Program View Image Icon of page
Thursday, April 24, 2014

Computer Science and Engineering - Masters
Computer Science - College of Engineering
Program Coordinator: CANDICE BAUER

Mission Statement
The mission of the computer science and engineering graduate degree programs within the Department of Computer Science is to provide students with a comprehensive knowledge in one of the sub-disciplines in computer science and engineering including algorithm and theory of computation, computer system design and engineering, artificial intelligence (e.g., computer vision, robotics, and evolutionary computing), computational science and engineering (e.g., bioinfomatics, geoinfomatics, and computational physics), and software development and engineering. Master's students are most often trained to pursue careers involving applied research and development at research laboratories or advanced technology companies, or to perform specialized design activities at consulting firms.

Students are able to develop their knowledge in any one these sub-disciplines by completing a program of study that is unique to each sub-discipline. Each program of study includes certain required courses and elective courses, many of which are interdisciplinary, and may also include fundamental or applied research related to the specific sub-discipline. A student who conducts research will document the results in a formal thesis and will generally publish results in a professional research journal.

The master degree program offered in the Department of Computer Science will prepare graduates to work as hardware design engineer, software engineer, software architect, information technology consultant, and firmware engineer in the software development industry, information technology industry, gaming industry, or in the public sector.
 
Student Learning Outcomes

(a) an ability to apply knowledge of mathematics, science, and engineering

 

(b) an ability to design and conduct experiments as well as to analyze and interpret data

 

(c) 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

Student Performance IndicatorsAssessment Method
  • Student work (exams, homework, projects, etc.) is collected every course offering. Student work is examined by faculty
  • Students indicate their level of achievement in course evaluations. Faculty review student work to ensure students are meeting learning outcomes. Alumni surveys and interviews are conducted. Industry surveys and interviews are conducted.

 
Use of Results

Faculty members in the Department of Computer Science will use the assessment methods to enhance graduate program in Computer Science and Engineering by making appropriate changes in course content and course offerings through curriculum reviews. Each faculty member will encourage students involved in research to present results at professional conferences and submit manuscripts for publication in research journals in order to build the reputation of the graduate programs. Alumni surveys and advisory board input will be used to track the professional development of graduates and identify any appropriate changes to strengthen the graduate programs.

 
Implementation Plan
The department assessment committee will analyze assessment data and distribute its recommendations to the various sub-disciplines within the department. All faculty members will be asked to annually review assessment methods and suggest appropriate changes and additional performance measures. Successful assessment methods will enhance the reputation of the graduate programs and improve the recruitment of future graduate students.

Download Program Plan

 

University of Nevada, Reno
Last Program Update: 6/28/2012