Development and Operations (DevOps) is the use of build automation tools to automate provisioning, configuration, monitoring, and management of data centers and networks. These same tools are used to automatically build and test software for Quality Assurance (QA). Design tests and use tools like Jenkins to execute planned systematic actions that provide confidence in a software product under development, and its infrastructure.
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.
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.
Introduction to using the Unix/Linux operating system. Unix/Linux file management and common text processing utilities including searching.
An advanced course in the use of MySQL techniques to process database objects. Design and develop MySQL program units: stored procedures, functions, and database triggers. Work with dynamic SQL and with XML data.
Students install and configure a MySQL server and create and manage user accounts. Issues
pertaining to optimization, security, privileges, tuning, troubleshooting, and performing upgrades are
studied and practiced.
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.
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.
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.