This course introduces foundational abstract data types and algorithms. The main focus is on the use of data structures in designing and developing programs to solve problems in a variety of domains. Specific topics include lists, sets, dictionaries, graphs, stacks and queues, searching, and sorting. There will be weekly programming assignments, programming and written exercises in lab sections, regular quizzes, and a cumulative final exam. Use of a personal laptop in class is required.

This course introduces foundational abstract data types and algorithms. The main focus is on the use of data structures in designing and developing programs to solve problems in a variety of domains. Specific topics include lists, sets, dictionaries, graphs, stacks and queues, searching, and sorting. There will be weekly programming assignments, programming and written exercises in lab sections, regular quizzes, and a cumulative final exam. Use of a personal laptop in class is required.

The world is rich in data and our ability to process, manipulate, analyze, and visualize that data is growing in power. This course discusses how to understand and solve real-world problems using modern programming techniques.

The world is rich in data and our ability to process, manipulate, analyze, and visualize that data is growing in power. This course discusses how to understand and solve real-world problems using modern programming techniques.

Mathematical techniques useful in the study of computing and information processing. The mathematical method of definition and proof. Sets, functions, and relations. Combinatorics, probability and probabilistic reasoning. Graphs and trees as models of data and of computational processes. Prerequisite: R1 math skills recommended. Not intended for Computer Science majors - students interested in a majors-level treatment of this material should see COMPSCI 240 and 250, or MATH 455.

An introduction to the main concepts of Informatics. There are several 'Big Ideas' in computing, including but not limited to abstraction, data and information, algorithms, programming, the internet, and the global impacts of computing. This class provides an introduction to those ideas and considers some of the ways that those computing principles might be used to solve real world problems. Computer-based assignments are an integral part of this course but no programming knowledge or prior programming experience is expected or required. Not for CS majors.

This course enhances the thesis research experience for students in the iCons program through peer support teams and advanced scientific communication as students prepare to present their research findings at the Statewide Undergraduate Conference and at the iCons Senior Exposition. This course satisfies Integrative Experience criterion #1 by providing a structured context for students to reflect on and to integrate their previous learning as they prepare to present their senior research findings in these two public forums.