Chair: Gita Alaghband
Program Manager: Christina Ridd
Administrative Assistant: Megan Rogers
Office: Lawrence Street Center, 8th Floor
Gita Alaghband, PhD, University of Colorado
Research areas: parallel and distributed systems, parallel algorithms, applications and languages, high-performance computing
Tom Altman, PhD, University of Pittsburgh
Research areas: algorithms, optimization, theory
Bogdan Chlebus, PhD, Warsaw University, Poland
Research areas: combinatorial algorithms, communication networks, distributed computing
Min-Hyung Choi, PhD, University of Iowa
Research areas: computer graphics, animation, virtual reality, human computer interface
Ellen Gethner, PhD, University of British Columbia; PhD, Ohio State University
Research areas: graph theory, number theory, combinatorics, discrete geometry, computational geometry, visualization, algorithms
Ilkyeun Ra, PhD, Syracuse University
Research areas: computer networks, cloud computing, high-performance computing, distributed computing systems
Farnoush Banaei-Kashani, PhD, University of Southern California
Research areas: big data management, big data mining, data science, geospatial data analysis, data stores (NewSQL)
Ashis Biswas, PhD, University of Texas at Arlington
Research areas: machine learning, data mining, big data analysis, bioinformatics
Liang He, PhD, Nankai University
Research areas: cyber-physical systems, cognitive battery management, IoTs, mobile computing
Feng Lin, PhD, Tennessee Technological University
Research areas: mobile & pervasive sensing, cyber-physical security, smart & connected health, human-centric computing
Haadi Jafarian, PhD, University of North Carolina Charlotte
Research areas: proactive security for cyber threats, big data analytics for cyber threat intelligence, security for cyber-physical systems & critical infrastructures, security for IoTs, security analytics & automation, science of security
Assistant Professor (Clinical Teaching Track)
Salim Lakhani, PhD, Purdue University
Research areas: cloud computing and security, distributed computing & database systems
Boris Stilman, PhD, National Research Institute for Electrical Engineering, Moscow, Russia
With the advances in technology and the rapid and prevalent growth of the information-based economy, computer science has become an enabling science for nearly all disciplines that impact engineering, science, business, health and government. The future of the discipline promises even more innovative advances. The Department of Computer Science and Engineering at the University of Colorado Denver is committed to providing outstanding education and research training to our diverse undergraduate and graduate students for productive careers in industry, academia and government in the Denver metropolitan area, state and beyond. Our faculty strive for excellence in teaching, research and service by covering a broad spectrum of the discipline’s core fundamentals, as well as applied aspects including those of interdisciplinary nature. We actively engage our students in classroom and out-of-classroom research and help them develop the skills needed to solve complex real-world technological problems of modern society.
The Department of Computer Science and Engineering offers BS, MS and PhD degrees:
- The undergraduate BS degree is awarded in computer science (CS) and is ABET accredited. This curriculum is a rigorous study covering theoretical, software, systems and hardware interfaces providing students with a coherent and in-depth education of key components of the field.
- The Computer Science Scholars Program (dual BS/MS) provides high-performing and motivated undergraduate students the opportunity to begin course work at the graduate level while completing the undergraduate degree in CS. In the process, it allows students to receive dual credit for up to 12 hours of graduate-level CS courses for both the bachelor of science (BS) and the master of science (MS).
- The MS degree is awarded in computer science to those students who wish to pursue graduate studies to further develop their education. The MS in CS graduate program covers the core knowledge of key concepts of computer science as well as offers flexibility to pursue specializing in various fields of interests.
- A track in Data Science in Biomedicine is offered as a MS thesis option. Students who choose this track will adopt biomedical applications of data science to learn data science methodologies and technologies.
- The graduate certificate in software engineering is designed for working professionals, or computer science students beginning their careers, who are in the field of software engineering and/or software development.
- The graduate certificate in cybersecurity & defense is designed for working professionals in the field of computer science, network and/or security operations. The certificate program in Cyber Security and Defense will prepare Computer Science professionals to identify, analyze, and mitigate technical cybersecurity-related vulnerabilities, exploits and attacks against network and critical cyber infrastructure.
- The Computer Science and Information Systems (CSIS) PhD Computer Science track is awarded by the College of Engineering and Applied Science. The CSIS PhD program is an interdisciplinary, joint program between the Department of Computer Science and Engineering and the Information Systems program in the Business School.
- The multidisciplinary Engineering and Applied Science PhD degree is available through the Department of Computer Science and Engineering.
- Any undergraduate student currently enrolled in a CU Denver degree program with a major other than computer science may earn a minor in computer science . This includes students from the College of Engineering, Design and Computing, the College of Liberal Arts and Sciences, the School of Public Affairs, the College of Arts & Media, and the School of Education & Human Development.
The most up-to-date information on all programs offered through the computer science and engineering department can be obtained from the department’s website at engineering.ucdenver.edu/cse. Please also see our Graduate Catalog for more details regarding these programs.
Comcast Media & Technology Center
Co-Director: Min-Hyung Choi
The Comcast Media & Technology Center (CMTC) is a visionary collaboration between Comcast and the University of Colorado Denver’s College of Engineering, Design and Computing (CEDC) and College of Arts & Media (CAM). Configured as a transdisciplinary center for innovation, the Center’s mission is to foster an environment in which students and researchers of CEAS, CAM and other disciplines can generate, develop and activate culturally focused, action-orientated research, education, commercial enterprises and community services.
The Comcast Media & Technology Center’s main goals are to foster creative environments that dynamically link people with complementary skill sets and then develop cutting-edge technologies and solutions that are empathetically driven, economically sustainable and environmentally responsible in fields of computer science, engineering, design, business, arts, media, and beyond. Through launching new ventures to commercialize new technologies, and fostering relationships with public and private sectors, the Comcast Media & Technology Center will serve as a catalyst to inspire innovation, creativity, and research that advances discovery and education in the Rocky Mountain region and beyond.
Current focuses of the Comcast Media & Technology Center are Virtual Reality and Augmented Reality, Computer Graphics and Animation, Human Computer Interface, Machine Learning, Internet of Things, UI/UX, and Design.
Computer Science Program
Computers as a combination of software and hardware have become significant to the whole of society. They affect the way in which business is conducted and the way people study and learn. Very important is the use of computers to develop new avenues of human communication, interaction and cooperation. Communication networks and the combination of text with audio and video are providing more people with fingertip access to a vast array of information and knowledge.
The computer scientist is a professional who must be prepared to apply his or her skills, knowledge and creativity in a rapidly changing field. The bachelor of science in computer science at CU Denver prepares students for such creative work. The emphasis is on fundamental concepts and basic principles with a long useful life. The program is composed of five major study areas: mathematics, basic or engineering science, required computer science, technical electives and the CU Denver core curriculum .
The computer science program is accredited by the Computing Accreditation Commission (CAC) of ABET.
Computer Science Curriculum
The mathematics, basic science and computer science core requirements give the student a broad exposure to the concepts, methods and practice of computer science and engineering; the student learns the fundamentals of producing solutions to problems.
Technical electives are chosen to add depth to a student’s knowledge in an area of special interest.
The CU Denver undergraduate core curriculum is designed to give the student an exposure to knowledge outside his or her major. For students in the College of Engineering, Design and Computing, courses in the humanities, social sciences and human communications are required.
To be awarded the bachelor of science in computer science, a student must satisfactorily complete all course work shown in the curriculum below, satisfy all university graduation requirements and maintain at least a 2.0 GPA in all computer science courses attempted (see “Policy on Academic Progress” in the introductory section of this chapter). Students must meet with an undergraduate advisor each semester to assure that they are on track within the degree program and are aware of the current requirements of the program. An additional source of information is the CS Undergraduate Advising Handbook available online on the department’s website. Students must complete a 30-hour checkout before registering for the last 30 semester hours of their program. In addition, each student must complete an approved graduation plan within the academic year of their intended graduation date. For advising policies, see the BS-CS handbook on our website.
Note: Prerequisites must be taken before a course that requires them. Co-requisites are to be taken concurrently. Prerequisites will be strictly enforced.
Computer Science Scholars Program: Dual BS/MS
The Computer Science (CS) Scholars Program provides high-performing and motivated undergraduate students the opportunity to begin graduate work at the master’s level while completing the undergraduate degree in CS. In the process, it allows students to receive dual credit for up to 12 hours of graduate-level computer science courses for both the Bachelor of Science (BS) and the Master of Science (MS) degree. This accelerates the time to obtain a graduate degree for the student, saving both time and expense.
Students admitted into the CS Scholars Program will be allowed to take 5000-level courses in computer science while still completing their undergraduate degree in computer science. CS Scholars are allowed to apply up to 12 credit hours (4 courses) of 5000-level courses toward both their BS degree in computer science, as technical electives, and their MS degree in computer science.
The following guidelines are applied to students in the BS Scholars Program:
- Dual credit CSIS 5000-level courses must be taken at CU Denver and must be courses selected from category A or B as required by the MS degree in computer science (outlined in the CU Denver computer science Graduate Handbook).
- Students must score a B- or higher in their 5000-level computer science courses for the course to be applied toward the MS degree. A passing grade below a B- will contribute to the BS degree requirements, but not to the MS degree requirements.
- Students cannot apply more than 12 credit hours of graduate coursework to the MS degree taken prior to the completion of the BS degree.
- Students must apply for the CS Scholars Program before their final year of courses to receive dual credit for 5000-level courses. Students will be considered undergraduate students until all requirements for the BS degree in computer science are completed.
- The BS degree will be conferred the semester during which these requirements are completed. At that time, students will also be considered an MS student. Students then continue to fulfill the remaining requirements for their MS degree in computer science (thesis option or project option or course only option). CS Scholars are expected to finish their MS degree in 2 semesters upon completion of their BS degree (course only option), plus a summer session for students pursuing an MS project or thesis.
- Must be a full-time undergraduate student in computer science at CU Denver in good standing, with a minimum of 60 credit hours completed toward the BS degree in computer science, and must have completed CSCI 3412: Algorithms, CSCI 3453: Operating Systems Concepts, and CSCI 3287: Database Systems.
- Must have a minimum cumulative GPA of 3.3 or a 3.5 GPA in CS major coursework.
- Must complete an application to the CS Scholars Program, including a dual degree course plan. The application must be approved by the student’s CS academic advisor and submitted to the CS department.
- Must apply and be accepted into the CU Denver MS program in computer science for the semester during which they will enter the CS Scholars Program dual-credit program.