8381

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.

Broad introduction to fundamental concepts in computer science. Investigate how computers store and transmit information, how to design and implement algorithms using a programming language, and how computing fits into larger social issues.

Broad introduction to fundamental concepts in computer science. Investigate how computers store and transmit information, how to solve problems with computers by designing and implementing algorithms, and how computing fits into larger social issues.

Programming fundamentals using multiple processors or computers to solve a problem. Mechanics of computation, multi-tasking, multi-threading, and object-oriented approaches to managing many computing elements working on the same problem. Programming for Cloud computation, Big Data access, and highly parallel computing hardware, e.g. multi-core processors and Graphics Processing Units (GPU).

Basic computer organization including the von Neumann architecture, the instruction cycle, parts of a CPU (central processing unit), pipelining, memory hierarchy, and interrupt handling. Representation of numerical and non-numerical data. Translation to assembly code from high-level constructs such as if statements, loops, and function calls.

The administration of a Linux server. Prepares students for industry certification and entry-level employment in system administration. Topics include process control, system monitoring, filesystem preparation and maintenance, logical volumes, basic servers and the firewall, virtual machines, startup and shutdown, user accounts, periodic tasks, security issues, and installations.

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.

This course provides students with the opportunity to learn computer science concepts in the context of game and simulation development. Data algorithms, behavioral algorithms, memory management, object and class hierarchy, and Unity's architectural pattern will be presented.

An advanced course in the design and development of iOS applications using Xcode and Swift. Overview of object-oriented programming in Swift. Development of user interfaces with Storyboard. Development of iOS applications using the model-view-controller paradigm, persistent storage, and networked data.

Introduces advanced Java language features and packages that are essential for building Java Standard Edition applications. Topics include object-oriented design, updated Java features, file input and output, exception handling, collections, generics, graphical user interfaces (GUIs), functional programming, reflection, and multithreading. Helps prepare students for industry certification in Java programming.