91·çÔÂÂ¥

Broad introduction to fundamental concepts in computer science. Investigate how computers store and transmit information, how to solve problems with computers by designing and implementing algorithms, and how computing fits into larger social issues.

Broad introduction to fundamental concepts in computer science. Investigate how computers store and transmit information, how to design and implement algorithms using a programming language, and how computing fits into larger social issues.

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.

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.

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.

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.

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.

Introduction to using the Unix/Linux operating system. Unix/Linux file management and common text processing utilities including searching.

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 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.

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.

Utilizing the Unity game engine and a range of additional tools, this course is an introduction to the career opportunities in the games industry. Students will learn how individual games are made, distributed, and sold via both physical media and online. Virtual reality and augmented reality will also be examined.

Integrate and apply knowledge gained through 91·çÔÂÂ¥ coursework in a team-based environment, collaborating with students in Visual Media Design's VMD 200A/B: Design Studio Practicum. Work on realistic projects with input invited from local employers. Develop, design and program a professional software project in a team environment.

Preparation for programming job interviews: problem-solving and algorithm questions solved on a white board or online chat, approaches to technical interviews, and solving common kinds of problems. Requires prior experience programming Data Structures and Algorithms in C++, Java, or similar.

Using version control software such as Git and online code repositories such as GitHub. Use these systems for team collaboration in software development, and to present work online as a portfolio for job applications. Set up an online code repository as a portfolio for employers to assess what kind of programming experience an applicant has.

Provides students with the opportunity to earn course and certificate credit for working in the field, in a supervised setting in the ICT/Computer Science industry. Internships include software quality assurance (QA), junior developer, database programmer or administrator, Linux system administrator, etc. One unit of credit is earned for 54 hours of unpaid or paid work.

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.

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.

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).

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.

An advanced course in the design and development of iOS applications using Xcode and Swift. Overview of object-oriented programming in Swift. Development of user interfaces with Storyboard. Development of iOS applications using the model-view-controller paradigm, persistent storage, and networked data.

This course provides students with the opportunity to learn computer science concepts in the context of game and simulation development. Data algorithms, behavioral algorithms, memory management, object and class hierarchy, and Unity's architectural pattern will be presented.

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.

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.

The administration of a Linux server. Prepares students for industry certification and entry-level employment in system administration. Topics include process control, system monitoring, filesystem preparation and maintenance, logical volumes, basic servers and the firewall, virtual machines, startup and shutdown, user accounts, periodic tasks, security issues, and installations.

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.

Programming fundamentals using multiple processors or computers to solve a problem. Mechanics of computation, multi-tasking, multi-threading, and object-oriented approaches to managing many computing elements working on the same problem. Programming for Cloud computation, Big Data access, and highly parallel computing hardware, e.g. multi-core processors and Graphics Processing Units (GPU).