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Access and analyze data and produce information visualizations to discover patterns. Fundamental skills and concepts for data science applicable to scientists, journalists, business people, and database programmers. Requires programming in a language of the student's choice.

Second course in the Python programming language. Emphasis is on applications in data analytics. Covers resources, practices, and modules used by successful Python programmers; debugging and testing; data serialization; and interaction with SQL databases and web services. Students write useful programs demonstrating mastery of these techniques, which are applicable to real world problems.

Advanced Java Enterprise Edition covers features of the Java language essential for building network- and web-oriented applications. Topics include networking, Java Database Connectivity (JDBC), Servlets, JavaBeans, JavaServer Pages (JSP), Remote Method Invocation (RMI), JavaScript Object Notation (JSON), and Extensible Markup Language (XML).

An advanced course in the design and development of applications for mobile devices running the Android operating system. Use the Android SDK and Android Studio to craft user interfaces (UIs) and create applications that make use of web services, long-term storage, user location, and media.

Introduction to principal software engineering processes and pitfalls. Focus on users, development methodologies, testing, and tools. Use of techniques including version control, functional specification, Agile and Test-Driven Development.

This course covers programming fundamentals using the Python language. Python is interpreted, interactive, and object-oriented. Recommended for general-purpose programming, system administration, or web programming. Topics include classes, objects, inheritance, polymorphism, design and implementation of abstract data types, dictionaries, lists, list comprehensions, files, modules, and mutable and immutable types.

This course covers programming fundamentals using the Python language. Python is interpreted, interactive, and object-oriented. Recommended for general-purpose programming, system administration, or web programming. Topics include classes, objects, inheritance, polymorphism, design and implementation of abstract data types, dictionaries, lists, list comprehensions, files, modules, and mutable and immutable types.

This course covers programming fundamentals using the Python language. Python is interpreted, interactive, and object-oriented. Recommended for general-purpose programming, system administration, or web programming. Topics include classes, objects, inheritance, polymorphism, design and implementation of abstract data types, dictionaries, lists, list comprehensions, files, modules, and mutable and immutable types.

This course covers programming fundamentals using the Python language. Python is interpreted, interactive, and object-oriented. Recommended for general-purpose programming, system administration, or web programming. Topics include classes, objects, inheritance, polymorphism, design and implementation of abstract data types, dictionaries, lists, list comprehensions, files, modules, and mutable and immutable types.

The analysis and design of computer algorithms and their underlying data structures. Analysis of the timing and efficiency of algorithms. Study of lists, stacks, queues, trees, backtracking, searching, sorting and recursion. Introduction to graphs, hash tables, heaps, priority queues and direct access files. Further study of abstract data types and object-oriented programming.