Reinforces programming skills learned in previous programming courses through working on a number of projects. Offers practice for developing modular, reusable, maintainable code. Students will gain more experience with design and development. Prerequisite: 212.

Explores elementary data structures (linked lists, stacks, queues, trees, graphs) and algorithms (searching, sorting) in a variety of contexts, including event-driven applications with a graphical user interface. Emphasizes object-oriented programming throughout, using the Java programming language. Prerequisite: CSC 111.

Explores elementary data structures (linked lists, stacks, queues, trees, graphs) and algorithms (searching, sorting) in a variety of contexts, including event-driven applications with a graphical user interface. Emphasizes object-oriented programming throughout, using the Java programming language. Prerequisite: CSC 111.

Introduction to a block-structured, object-oriented high-level programming language. Covering language syntax and use the language to teach program design, coding, debugging, testing and documentation. Procedural and data abstraction are introduced.

Introduction to a block-structured, object-oriented high-level programming language. Covering language syntax and use the language to teach program design, coding, debugging, testing and documentation. Procedural and data abstraction are introduced.

Introduction to a block-structured, object-oriented high-level programming language. Covering language syntax and use the language to teach program design, coding, debugging, testing and documentation. Procedural and data abstraction are introduced.

Offered as SDS 109/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.

Quantum chemistry: an introduction to quantum mechanics, the electronic structure of atoms and molecules, with applications in spectroscopy. Prerequisites: 118 or 224 and MTH 112 or MTH 114; strongly recommended: MTH 212 or PHY 210, and PHY 115 or PHY 117.

Polymeric materials are ubiquitous in our society and play a vital role in many of the technologies that we use on a daily basis (e.g., clothing, electronic devices, drug formulations, medical implants). Chemistry is central to development of new materials for advanced technologies and this course will provide an introduction to the fields of polymer chemistry and macromolecular assembly. Topics include methods and mechanisms in polymer synthesis and assembly, characterization of polymer structure and properties, and applications of polymers.