Full Stack Developer

Prerequisite: None

Lecture: 2 hrs, Lab: 2 hrs

Analytics and data-mining using Excel spreadsheets and Access databases.  The course includes: using databases, spreadsheets and other systems to gather information, research, analyze, and interpret complex data, loan amortization schedules, automatic update of spreadsheets with data downloaded from other sources, database management and reporting, and automating processes with VBA. Recommended for Business Majors.

Prerequisite: None

Lecture: 2 hrs, Lab: 2 hrs

A beginning course where students will create web pages, set up personal or commercial web sites, upload to a web server that the class creates and use HTML as a foundation to JavaScript.

Prerequisite: None.

Advisories: CO SCI 430 or CIS 124

Lecture: 2 hrs, Lab: 2 hrs

The student learns the concepts of both relational and object relational databases and the SQL language. Data server technology, creating and maintaining database objects, as well as storing, retrieving and manipulating data are also covered.

Prerequisite: None

Lecture: 3 hrs, Lab: 1 hr

Describes computer development, uses of the computer by business management, the use of major workplace applications programs, operating systems and programming. Students will analyze, design and construct technology solutions for organizations.

Prerequisite: None

Advisory: CO SCI 450

Lecture: 2 hrs, Lab: 2 hrs

Introduces JavaScript to Web developers with HTML and CSS background who want to create dynamic Web pages and to Server-side programmers who use languages like ASP, JSP, or PHP and would like to add JavaScript programming to their skill sets. Students integrate script elements, outputting to a web document, working with selections, repetition structures, writing functions; and accessibility to create dynamic web applications

Prerequisite: None

Lecture: 2 hrs, Lab: 2 hrs

Students will learn topics of the Python language such as data types, variables, control structures, Python Objects, standard and advanced mathematical libraries, tool-chain use and Python Frameworks, user-defined classes and abstract collections, single and multidimensional arrays, Python lists, tuples, collections, and dictionaries.

Prerequisite: CO SCI 462 or CS 112

Advisory: CO SCI 450 and CS 113

Lecture: 2 hrs, Lab: 2 hrs

Students learn about web development using current technology. Topics include NOSQL databases, JavaScript and JSON, developing single page application using Angular and using Express to handle web page routing. This will be exemplified using the MEAN (Mongo, Express, Angular and Node) stack and students will create a meaningful CRUD (Create, Retrieve, Update and Delete) capstone project. Creating web sites and apps for mobile devices using Bootstrap and ionic framework will also be covered.

Prerequisite: None

Corequisite: CO SCI 401 or CS 101.

Lecture: 2 hrs, Lab: 2 hrs

This course introduces the fundamentals of cloud computing including the different cloud computing models: Infrastructure as a Service; Platform as a Service; and Software as a Service on the Amazon Web Services (AWS) platform. Review of the basic concepts of server, networking, storage and virtualization is covered. Industry trends of computing, storage and application migration to cloud computing is covered. Advantages and disadvantages of cloud computing are examined. Cloud careers and industry demand for cloud computing skills are listed.

Prerequisite: CIS 192

Advisory: CO SCI 434 or CIS 219.

Lecture: 2 hrs, Lab: 2 hrs

This course introduces AWS' data storage services. It covers introduction of AWS database technologies and AWS block and object-based storage services. Students learn the principles of database design and management, AWS SQL and NoSQL database technologies. Students use principles of block and object-based storage options. They will study various use case scenario for AWS data storage services. The hands-on labs will allow them to apply the knowledge acquired.

Prerequisite: CIS 193

Lecture: 2 hrs, Lab: 2 hrs

This course introduces AWS (Amazon Web Services) computing related services. Students will learn about the core computing services offered by AWS. The computing services will follow the computing models: Infrastructure as a Service, Platform as a Service, Function as a Service or Micro-services and server less computing (Lambda functions). Students will set up and manage computing services, configure auto scaling and load balancing. Students will learn to code auto deployment scripts to automate the management of AWS infrastructure.