Course Finder

• Prerequisite: None.
• Advisory: CS 15.

This course provides students with the tools needed to implement security in designing and developing applications written in Microsoft Visual Basic .NET. Topics include encryption, security practices, securing remote applications such as ASP and remote databases. Upon completion of this course, students will be able to develop applications that can handle threats and respond to them more securely.

• Prerequisite: None.
• Advisory: CS 55.

This course provides students with the tools needed to implement security in designing and developing applications utilizing the Java 2 Platform. Topics include encryption, security practices, securing remote applications such as secure web servers and remote databases. Upon completion of this course, students will be able to develop applications that can handle threats and respond to them more securely.

• Prerequisite: None.
• Advisory: CS 70.

This course introduces major protocols and their roles in protocol suites with emphasis on TCP/IP. Detailed coverage is given to at least one protocol at each layer, the main application level protocols and at least one security protocol. Analytic programs such as ping, traceroute, and packet capture are studied and applied as tools to protocol analysis. The Wireshark packet capture and protocol decoder program is centrally utilized.

This course will cover the basic properties of cryptocurrencies and the underlying blockchain technology. Students will learn the origins of cryptocurrencies, how cryptocurrencies work as well as real world practical applications of cryptocurrencies. This course provides a broad overview of technologies required to purchase, store, and mine cryptocurrencies. Students will learn how blockchain is being used to support cryptocurrencies and the advantages blockchain provides. Students will also gain an understanding of the various cryptoassets such as the various coin, tokens and crypto collectibles.

This course covers Blockchain fundamentals including such topics as advantages and disadvantages of Blockchain, decentralized application design, different types of Blockchains and use cases for Blockchain adoption. In this course, we will study basic algorithms and data structures used to build Blockchains. Including such topics as how to store a transaction in a block, nodes used to maintain consensus, and mining.

• Prerequisite: None.
• Advisory: CIS 1 or CS 3.

This course introduces students to Salesforce, the industry-leading customer relationship management system. Topics include: data model and navigation; setting up company profiles, user interface and security. Students will create customized records, manage data, run reports, navigate system apps and other applications including personalizing the program to suit various business needs.

• Prerequisite: None.
• Advisory: CS 77A and CS 55.

This course covers how to create applications using the Salesforce platform services and tools. Topics include designing and managing data models, configuring application security, designing user interfaces and customizing the application for mobile user and Lightning users. It also focuses on VisualForce to develop custom applications that make use of the Model-View-Controller paradigm by coding in Apex, using Lightning Components and the Salesforce Object Query Language (SOQL).

• Prerequisite: None.
• Advisory: CS 70.

In this course students will study network service administration. This course covers physical BIOS and bootloader security, password strength and cracking, file system permissions, authentication mechanisms, remote backup and logging, and installation strategies as machine-level security considerations. A variety of particular service applications like Apache (web service) and BIND (name service) are then studied, emphasizing their strengths, weaknesses, and how to configure them for security through wrappers, file system access jails, and other mechanisms.

• Prerequisite: CS 3.

This course introduces cloud computing which shifts information systems from on-premises computing infrastructure to highly scalable internet architectures. The course provides a solid foundation of cloud computing technologies and provides students with the understanding required to effectively evaluate and assess the business and technical benefits of cloud computing and cloud applications. Students analyze a variety of cloud services (storage, servers and software applications) and cloud providers. Case studies will be used to examine various industry cloud practices and applications. The course also surveys cloud careers and discusses industry demand for cloud skills.

• Prerequisite: CS 79A.

This course addresses cloud database management which supports a number of different approaches for storing data. In the course, students define, operate and scale both SQL and noSQL data storage solutions. This course considers factors that should be balanced during the design of a storage solution. Principles are applied by performing exercises using Amazon RDS and SQL to create and fill tables, retrieve and manipulate data. Object-based APIs are used to serialize objects to Amazon DynamoDB for noSQL solutions. Topics include automated backups, transaction logs, restoration and retention.

• Prerequisite: CS 79A; and (CS 55 or CS 87A or CS 83R or CS 85).

In this course, students explore how cloud computing systems are built using a common set of core technologies, algorithms, and design principles centered around distributed systems. Students will use the Amazon Web Services (AWS) Management Console to provision, load-balance and scale their applications using the Elastic Compute Cloud (EC2) and the AWS Elastic Beanstalk. The course discusses, from a developer perspective, the most important reasons for using AWS and examines the underlying design principles of scalable cloud applications.

• Prerequisite: CS 79A.

This course focuses on protecting the confidentiality, integrity and availability of computing systems and data.Students learn how Amazon Web Service (AWS) uses redundant and layered controls, continuous validation and testing, and a substantial amount of automation to ensure the underlying infrastructure is continuously monitored and protected. Students examine the AWS Shared Responsibility Model and access the AWS Management Console to learn more about security tools and features provided by the AWS platform.

• Prerequisite: None.
• Advisory: CS 79C and CS 79D.

In this advanced course, students will learn how to use the AWS Well-Architected framework that has been developed as a guideline to cloud architects to implement the most secure, high-performing, resilient and efficient infrastructure possible for their applications. Using case studies and class projects, students will apply the five pillars of operational excellence, security, reliability, performance efficiency and cost optimization on AWS architected infrastructures.

• Advisory: CS 79A.

This course will cover how business decisions can be made into machine learning problems for deeper business insight. We will cover the terms and concepts required to help you learn and build a good foundational understanding of machine learning, artificial intelligence and deep learning. You will learn the various Amazon Web Services Machine Learning stack, Artificial Intelligence and Deep Learning services, using application use cases, frameworks and infrastructure that will allow us to build, train, and deploy learning models at scale. Data is a vital part of machine learning, we will cover how business data is stored, moved and processed throughout the machine learning pipeline.

• Advisory: CS 79A.

In this course, students will learn how Machine Learning can yield deeper insights in different industry domains. Students will learn the various Azure tools and services for developing and deploying predictive solutions using Azure Artificial Intelligence, Machine Learning and Deep Learning. By using application use cases, frameworks and infrastructure, students will build, train, and deploy learning models at scale. Since data is a vital part of machine learning, we will cover how data is stored, moved and processed throughout the machine learning pipeline.

• Advisory: CS 79A and CS 79Z.

In this course, students will learn to deploy relational and non-relational databases in Azure. Students will define, operate and scale both SQL and noSQL data storage solutions. Principles are applied by performing exercises using the Azure SQL Database service as well as Azure Storage Explorer. Students will store, manage and analyze data in all the different storage options offered in Azure including blob storage, file storage, table storage, queue storage, Cognos DB and Azure Data Lakes.

• Advisory: CS 79A.

In this course, students will gain the skillset needed to implement Infrastructure as a Service on the Azure cloud platform. The course will cover how to assess and plan a cloud migration from on premises infrastructure to Azure. Students will learn how to manage Azure resources, including deployment and configuration of virtual machines, virtual networks, storage accounts, and Azure active directory services to manage user and groups. Students will also learn how to manage a pool of nodes using batch jobs.

• Prerequisite: None.
• Advisory: Any computer programming course.

This advanced course requires students to be proficient in programming. Students with little programming experience are encouraged to take additional programming courses before enrolling in this course.

In this course students learn how to design a software system from data collection, analysis and design to final output including forms, flowcharts, and documentation. It covers the tools and techniques used in analysis, design, and project management, such as the preparation of systems specifications, detail system designs, Gantt charts, and data-flow diagrams. In this course students develop a complete system; however this course does not cover any programming concepts.

• Prerequisite: None.
• Advisory: CS 3.

This course covers the basic technologies used to program Web-based applications. Topics include: HTML5, Cascading Style Sheets (CSS), XML and JavaScript, along with a basic survey of the latest extensions on JS.

• Prerequisite: None.
• Advisory: CS 80.

This introductory programming course teaches the fundamentals of computer programming with the JavaScript language, the standard for client-side Web programming. It offers a thorough treatment of programming concepts with programs that yield visible or audible results in Web pages and Web-based applications. It shows how to use Core and Client-Side JavaScript and the Document Object Model to build interactive, high-performance Web sites.

This course uses JavaScript which is open-source (free) software.