MODELING IN THE SCIENCES

Same as CSC 205. This course integrates the use of mathematics and computers for modeling various phenomena drawn from the natural and social sciences. Scientific topics, organized as case studies, span a wide range of systems at all scales, with special emphasis on the life sciences. Mathematical tools include data analysis, discrete and continuous dynamical systems and discrete geometry. The course provides training through programming in Mathematica and/or MATLAB. Prerequisites: MTH 112. CSC 111 recommended. Enrollment limited to 20.

MODELING IN THE SCIENCES

Same as MTH 205. This course integrates the use of mathematics and computers for modeling various phenomena drawn from the natural and social sciences. Scientific topics, organized as case studies, span a wide range of systems at all scales, with special emphasis on the life sciences. Mathematical tools include data analysis, discrete and continuous dynamical systems and discrete geometry. This is a project-based course and provides elementary training in programming using Mathematica. Prerequisites: MTH 112 or MTH 114. CSC 111 recommended. Enrollment limited to 20.

COMMUNICATING WITH DATA

Same as CSC 109. The world is growing increasingly reliant on collecting and analyzing information to help people make decisions. Because of this, the ability to communicate effectively about data is an important component of future job prospects across nearly all disciplines. In this course, students learn the foundations of information visualization and sharpen their skills in communicating using data. Throughout the semester, we explore concepts in decision-making, human perception, color theory and storytelling as they apply to data-driven communication.

COMMUNICATING WITH DATA

Same as SDS 109. The world is growing increasingly reliant on collecting and analyzing information to help people make decisions. Because of this, the ability to communicate effectively about data is an important component of future job prospects across nearly all disciplines. In this course, students learn the foundations of information visualization and sharpen their skills in communicating using data.

HOW COMPUTERS WORK

This introductory course provides students with a broad understanding of computer hardware, software and operating systems. Topics include the history of computers; logic circuits; major hardware components and their design, including processors, memory, disks, and video monitors; programming languages and their role in developing applications; and operating system functions, including file system support and multitasking, multiprogramming and timesharing. Weekly labs give hands-on experience. Enrollment limited to 35.
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