A course in the use of SQL database management systems to create, query, and update database tables. The course covers both the syntax and the logic of the major features of the SQL language. It also covers a brief overview of NoSQL (Not Only SQL) data sources such as JSON and MongoDB.
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.
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.
A course in the use of SQL database management systems to create, query, and update database tables. The course covers both the syntax and the logic of the major features of the SQL language. It also covers a brief overview of NoSQL (Not Only SQL) data sources such as JSON and MongoDB.
A course in the use of SQL database management systems to create, query, and update database tables. The course covers both the syntax and the logic of the major features of the SQL language. It also covers a brief overview of NoSQL (Not Only SQL) data sources such as JSON and MongoDB.
A course in the use of SQL database management systems to create, query, and update database tables. The course covers both the syntax and the logic of the major features of the SQL language. It also covers a brief overview of NoSQL (Not Only SQL) data sources such as JSON and MongoDB.
Introduction to using the Unix/Linux operating system. Unix/Linux file management and common text processing utilities including searching.
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.
This course covers programming fundamentals using the C++ language, using procedural and object-oriented approaches to problem solving. Topics include structured elements, classes, objects, references, dynamic memory allocation, inheritance, polymorphism, arrays, pointers, files, design and implementation of abstract data types, in numerical and non-numerical applications.
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.