The Department of Computer Science (CS) operates and supports computing facilities for departmental education, research, and administration needs. Current CS students have access to a departmental student machine for general use and computer labs located in the Gates Building. In addition, most students have access to systems located in their research areas.
Each research group degree in computer science. The Department of Computer Science (CS) operates and supports computing facilities for departmental education, research, and administration needs. Current CS students have access to a departmental student machine for general use and computer labs located in the Gates Building. In addition, most students have access to systems located in their research areas.
Each research group degree in Computer Science has systems specific to its research needs. These systems include workstations, computer clusters, GPU clusters, and local file servers. Servers and workstations running Linux , MacOS, or various versions of Windows are commonplace. Support for course work and instruction is provided on systems available through University IT (UIT) and the School of Engineering (SoE).
Mission of the Undergraduate Program in Computer Science
The mission of the undergraduate program in Computer Science is to develop students' breadth of knowledge across the subject areas of computer science, including their ability to apply the defining processes of computer science theory, abstraction, design, and implementation to solve problems in the discipline. Students take a set of core courses. After learning the essential programming techniques and the mathematical foundations of computer science, students take courses in areas such as programming techniques, automata and complexity theory, systems programming, computer architecture, analysis of algorithms, artificial intelligence, and applications. The program prepares students for careers in government, law, and the corporate sector, and for graduate study.
Learning Outcomes (Undergraduate)
The department expects undergraduate majors in the program to be able to demonstrate the following learning outcomes. These learning outcomes are used in evaluating students and the department's undergraduate program. Students are expected to be able to:
Apply the knowledge of mathematics, science, and engineering.
Design and conduct experiments, as well to analyze and interpret data.
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.
Function on multidisciplinary teams.
Identify, formulate, and solve engineering problems.
Understand professional and ethical responsibility.
Communicate effectively.
Understand the impact of engineering solutions in a global, economic, environmental, and societal context.
Demonstrate a working knowledge of contemporary issues.
Apply the techniques, skills, and modern engineering tools necessary for engineering practice.
Transition from engineering concepts and theory to real engineering applications.
Learning Outcomes (Graduate)
The purpose of the master’s program is to provide students with the knowledge and skills necessary for a professional career or doctoral studies. This is done through course work in the foundational elements of the field and in at least one graduate specialization. Areas of specialization include artificial intelligence, biocomputation, computer and network security, human-computer interaction, information management and analytics, real-world computing, software theory, systems, and theoretical computer science.
The Ph.D. is conferred upon candidates who have demonstrated substantial scholarship and the ability to conduct independent research. Through course work and guided research, the program prepares students to make original contributions in Computer Science and related fields.
has systems specific to its research needs. These systems include workstations, computer clusters, GPU clusters, and local file servers. Servers and workstations running Linux , MacOS, or various versions of Windows are commonplace. Support for course work and instruction is provided on systems available through University IT (UIT) and the School of Engineering (SoE).
Mission of the Undergraduate Program in Computer Science
The mission of the undergraduate program in Computer Science is to develop students' breadth of knowledge across the subject areas of computer science, including their ability to apply the defining processes of computer science theory, abstraction, design, and implementation to solve problems in the discipline. Students take a set of core courses. After learning the essential programming techniques and the mathematical foundations of computer science, students take courses in areas such as programming techniques, automata and complexity theory, systems programming, computer architecture, analysis of algorithms, artificial intelligence, and applications. The program prepares students for careers in government, law, and the corporate sector, and for graduate study.
Learning Outcomes (Undergraduate)
The department expects undergraduate majors in the program to be able to demonstrate the following learning outcomes. These learning outcomes are used in evaluating students and the department's undergraduate program.
Students are expected to be able to:
Apply the knowledge of mathematics, science, and engineering.
Design and conduct experiments, as well to analyze and interpret data.
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.
Function on multidisciplinary teams.
Identify, formulate, and solve engineering problems.
Understand professional and ethical responsibility.
Communicate effectively.
Understand the impact of engineering solutions in a global, economic, environmental, and societal context.
Demonstrate a working knowledge of contemporary issues.
Apply the techniques, skills, and modern engineering tools necessary for engineering practice.
Transition from engineering concepts and theory to real engineering applications.
Learning Outcomes (Graduate)
The purpose of the master’s program is to provide students with the knowledge and skills necessary for a professional career or doctoral studies. This is done through course work in the foundational elements of the field and in at least one graduate specialization. Areas of specialization include artificial intelligence, biocomputation, computer and network security, human-computer interaction, information management and analytics, real-world computing, software theory, systems, and theoretical computer science.
The Ph.D. is conferred upon candidates who have demonstrated substantial scholarship and the ability to conduct independent research. Through course work and guided research, the program prepares students to make original contributions in Computer Science and related fields.
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