Large-scale individual projects in computer science to be defined in cooperation with an instructor/supervisor. The project must be in in an area not covered by other course offerings. The student is responsible for the project definition and completion under the guidance of an instructor/supervisor.
Large-scale individual projects in computer science to be defined in cooperation with an instructor/supervisor. The project must be in in an area not covered by other course offerings. The student is responsible for the project definition and completion under the guidance of an instructor/supervisor.
This course covers programming fundamentals using the Java language, emphasizing an object-oriented approach to problem solving. Topics include classes, objects, references, dynamic memory allocation, inheritance, polymorphism, arrays, files, design and implementation of abstract data types, in numerical and non-numerical applications.
Analyze, design, write, test, and debug shell scripts. Students learn basic shell scripting techniques and develop scripting skills needed for Unix/Linux System Administration courses. The bash shell is used.
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.
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.