Concepts, tools, techniques, and applications of informatics. Includes overview of programming, data management, visualization, modeling, and social implications.

Concepts of problem solving using an object-oriented programming language, algorithm design, structured programming, fundamental algorithms and techniques.

Problem solving by programming with an object-oriented programming language. Introduces data structures. Overview of computer science topics.

Advanced object-oriented programming using the Java language. Design concepts and problem solving.

Ethics for computing majors: history of computing, intellectual property, privacy, ethical frameworks, professional ethical responsibilities and risks of computer-based systems.

Overview of computer and information systems applications. Topics include client/server; distributed computing; networks; process modeling; e-commerce; enterprise applications; Internet.

Relational database design, entity-relationship modeling, relational algebra, SQL, database access through Web, Web data management, introduction to XML, fundamentals of Web application development, Web server architectures, lecture, in-class lab activities.

Methods for evaluation of informatics systems, including design of computational and human experiments, ethnography, and analytic techniques.

Practical use of database systems, computer graphics, and modeling to inform decision making.

Design, evaluate, and implement interactive software intended for human use.

First course in capstone sequence for computer science and informatics majors emphasizing development process, technical skills, teamwork and communication.

Second course in capstone sequence for computer science and informatics majors continuing the development process, technical skills, teamwork and communication.

Practical introduction to the mathematics necessary for studies in informatics. Topics include discrete math, analytic geometry, calculus and linear algebra.

Introduces matrices, systems of linear equations, determinants, vector spaces, linear transformations, and eigenvalues. Emphasizes development of computational skills.

Logic, sets, functions, elementary number theory and combinatorics, recursive algorithms, and mathematical reasoning, including induction. Emphasizes connections to computer science.

Students will learn about ASU's mission as the New American University, the importance and benefits of an entrepreneurial approach to problem solving, solutions to sustainability challenges, and the importance of social embeddedness. Additionally, through various course discussions and assignments, students will examine the concept of academic integrity and its potential impact on their future, gain awareness of the value of engaging in research activities, and learn about taking an interdisciplinary perspective.