Tufts provides computer science majors with a solid grounding in theoretical computer science and algorithmic knowledge, applied computer science, and software engineering skills enabling them to pursue professional careers in computing or software. Students also go on to graduate work in computer science and related disciplines.Faculty research areas include algorithms and theory of computation, artificial intelligence, computational biology, computational geometry, computational systems biology, cognitive science, digital humanities, educational technologies, Electronic Design Automation (EDA) and VLSI design, human computer interaction, image processing, machine learning and data mining, network and system administration/autonomic network management, numerical linear algebra, programming languages and systems, robotics and human-robot interaction, and visualization and graphics. The department sponsors a colloquium each semester on leading-edge topics within the field such as anatomy and animation, computer security, 3-D interaction techniques, and devices for gaming.Tufts provides computer science majors with a solid grounding in theoretical computer science and algorithmic knowledge, applied computer science, and software engineering skills enabling them to pursue professional careers in computing or software. Students also go on to graduate work in computer science and related disciplines. Students can major in Computer Science through the School of Engineering or the School of Arts & Sciences.The Computer Science major includes ten courses: eight in computer science and two in mathematics. Students in the Bachelor of Science in Computer Science program in Engineering must earn a C- or better in 75% of concentration courses. They also must have a C- or better in two-thirds of their 120 credit hours.<br><br>The crux of Artificial Intelligence (AI) is to understand how machines can learn to autonomously perform different types of tasks that typically require some intelligence on the human side (e.g., object classification and identification, task scheduling and planning, game playing, decision-making, natural language understanding, etc.). The purpose of this focus area is to provide you with breadth and depth in the broad area of artificial intelligence focusing on both statistical as well as symbolic approaches with a strong technical foundation in computer science. This focus area applies equally well for Arts and Sciences (A&S) and School of Engineering (SoE) students.