A photo of a students programming in a robotics class

Computing Science

What is Computing Science?

Computing science is the study of automatic information manipulation. Computing science isn't tied to any one machine—it provides computational thinking skills that apply to many situations now, and into the future.

Computing Science at Augustana

At Augustana, students receive more one-on-one help as they learn to program a computer. We teach the leading programming languages (e.g. Java and Python) and ground students in all aspects of computing science.

Computing science is both an art and a science: we create amazing models out of low-level constructs and find elegant and efficient solutions to complex, multi-layered problems.

Program Information

Computing Science is available as a:

Academic Innovations

All programs at Augustana include a wide-ranging liberal arts Core, taught within our unique “3-11” calendar

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Careers

Studying Computing Science prepares you to enter a rapidly growing field of careers such as:

  • Web Designer
  • Software Developer
  • Database administrator
  • Information System executives
  • and many more!

Computing Science AlumnUS

A portrait of Brad Croteau
Brad Croteau
Research and Development Coordinator for the Royal Canadian Air Force

Brad credits Augustana's computing science program with preparing him to view problems analytically. He adds, “political studies and the liberal arts approach prepared me for understanding the human organizations and interactions.”

Courses Highlights

111 - Computational Thinking

An introduction to computational thinking, problem solving, and the fundamental ideas of computing. Topics include algorithms, abstraction, and modelling; the syntax and semantics of a high-level language (e.g. Python); fundamental programming concepts and data structures, including simple containers (variables, arrays, lists, strings, dictionaries); sequencing, conditionals and repetition; documentation and style; object-oriented programming; exceptions and error handling; recursion; simple algorithm analysis and run- time efficiency.

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218 - Web Development

Introduction to modern web architectures and technologies. Web platforms and standards. Client-side/server-side programming and web languages (e.g. HTML, JavaScript, PHP, CSS, Node.js). Introduction to internet security. Design and implementation of a simple web application.

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250 - Computer Architecture

Introduction to computer systems as multilevel machines. Topics include data representation; the organization and execution cycle of Von Neumann machines; assembly-level programming, addressing modes, control flow, procedure calls, input/output, interrupts, caching; finite state machines, Boolean algebra, logic gates, and digital circuits.

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320 - Software Engineering

Detailed study of software development processes, life cycles, and tools, especially object-oriented methods. Team work is emphasized in the completion of a large software project, from problem definition through to maintenance.

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460 - Artificial Intelligence

Survey of concepts and applications of artificial intelligence, including knowledge representation, state-space search, heuristic search, expert systems and shells, natural language processing, propositional logic, learning and cognitive models, vision; implementation using an AI language (LISP or PROLOG).

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More courses in the Course Catalogue.

Faculty

Portrait of Rosanna Heise

Rosanna Heise, M.Sc.

Rosanna Heise has taught introductory and advanced programming courses, computer hardware, software engineering, assembly language, circuit design, and some math courses.

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Portrait of Mi-Young Kim, PhD

Mi-Young Kim, PhD

Dr. Kim teaches Artificial Intelligence, Automata and Complexity, and Programming languages courses. Her research interests are in the area of natural language processing.

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