The course includes the law of tort, contracts, sale of goods, secured transactions, employment, intellectual property, partnerships and companies. Examines the planning stages involved in defining and analyzing a new business idea including evaluating the market and competition to determine feasibility, selecting and reaching a target market, organizing day-to-day business operations, identifying and assessing potential revenue streams, and sourcing and managing financing.
Major emphasis is on the preparation of a complete business plan based on research and analysis. Topics will also include business model alternatives, legal requirements, insurance, and taxes.
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This course will be helpful for anyone wishing to start their own software business, or who wish to learn about fundamental business and entrepreneurial career skills. Students work on projects within guidelines specified by faculty. Students will work in teams and come up with their own business idea that solves a real-world need for customers. Students will work directly with potential customers to validate their business idea and seek advice from a faculty member acting as their project supervisor.
The course is focused on application development using as vehicle of instruction the. NET framework and the C language. The main topics are: Microsoft. NET Framework Library, Common Language Specification, managed code, object oriented programming in C , graphical user interfaces with Windows forms, dynamic-linked libraries, custom and user controls, and unit testing. To illustrate the concepts, each topic includes examples of real life design choices used in modern operating systems e. This course provides the students with an opportunity to develop a software application that works across the internet.
An overview of various internet software development technologies is provided. Students will learn how to build a web application using a modern webapp MVC framework and Apache server technology; and how to use XML for data representation, structure and transport. This course covers the concepts and models in machine learning including regression, classification, clustering, dimensionality reduction and kernel methods. Students will apply different machine learning techniques to data sets through the components of a machine learning system that includes data ingestion, preprocessing, model training, testing and deployment.
In addition, practical aspects, including limitations as well as techniques to evaluate the performance of machine learning systems will be examined. In this course, students will explore different practical applications of artificial intelligence and machine learning through a series of in-depth case studies. The case studies to be covered will reflect current trends in the industry.
Topics may include spam filtering, product recommendation, price prediction, information retrieval, speech recognition and autonomous driving. Students will also work together to design and develop a product using real-world data sets.
Corequisites: COMP The course introduces descriptive and inferential statistics. The descriptive statistics will concentrate on using these methods for exploratory data analysis. Basic probability and probability distributions are used with an emphasis on their use in computer simulation methods. Inferential statistical methods and regression are introduced to lay the groundwork for decision making and prediction.
In all parts of the course, current computer applications i. R will be used to perform statistical analyses and simulation programming. The focus is on examining strategies and algorithms to achieve design goals such as performance, reliability, scalability, consistency, and security in a distributed system. Topics reect state-of-the-art technologies being used to develop such systems and also current trends in this area.
Some of these topics include: distributed objects, cloud computing, multimedia systems,web technologies and aspects of mobile computing. The emphasis is on architecting open and interoperable services. Topics include software creation and distribution models, software release processes source, build, test, production , cloud management tools, resource provisioning, software configuration management SCM , continuous integration source, build , continuous delivery, continuous automated deployment, and continuous monitoring.
In this course students learn to how design and develop software natively for cloud computing platforms. Topics include software application patterns and architectures, fundamentals of distributed processing, re-architecting refactoring applications for the cloud, migrating applications to the cloud, hybrid architecture development on-premises and cloud , cloud application services, cloud development tools, containerization, container orchestration, serverless computing platforms and microservices event-driven architecture.
Students will build their skills by participating in in-class interactive lectures, hands-on lab activities and working on comprehensive assignments. NET Framework. The course provides an overview of the Microsoft. NET framework as well as an introduction to the C programming language.
Topics include: ASP. This hands-on course is designed for students who are able to code medium sized applications in an Object Oriented language. Students design and develop apps to Apple standards for the latest iOS platforms. Participants will be required to specify, design and build a significant iOS application for iPhone or iPad. The course starts with an intensive overview of the Objective-c language, followed by an introduction to the iOS platform. Special attention is given to the user interface components of current popular iPhone and iPad applications and games.
Topics include: database transactions, concurrency control and recovery techniques in multi-user database systems, database security, distributed databases, and current trends in database technologies. Exploration of ideas of communication, concurrency, and asynchronous operation at the operating system level. Covers advanced Linux Systems software development for Data Communications and networking. Develop Windows client-server models using Internet Protocol Suite.
Design and implementation of Mobile Network Applications on the Android platform. This course will examine digital image processing. Topics will include: Compression and file formats, and processing techniques done on images. A paper will be examined plus two large assignments will be developed. Specific topics may change as the field is fairly volatile.
Topics in the past included: Huffman algorithm various improved versions as well , DCT and the JPEG standard, introduction to wavelet theory, MPEG2 standard, filtering images using convolution various filter types , warping and morphing, other standard image processing techniques. Course materials cover the game system architectures and programming requirements for realtime graphics for gaming. Students develop small demonstration games or projects applying knowledge gained from previous option courses and their concurrent graphics programming courses.
Explores Microsoft web technologies for developing and deploying e-business solutions. This course focuses on on C and ASP. Two competing ASP. A term project includes implementation of a web site using either technology Prerequisites: COMP This course completes the overall Information Technology IT framework introduced in Comp , and offers the student the opportunity to apply IT skills in a realistic work environment. This course introduces 2 key technologies prominent in the Information Systems industry: 1 The Unix operating system.
In the Unix portion of the course you will learn to work comfortably on a Unix platform, to be able to install and configure Unix services, and to create simple Shell scripts. Linux Fedora will be used for this part of the course. Students will learn the components and architecture of the Windows Server Operating System, as well as how to configure the operating system.
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Students will work in teams and to refine the business idea that they came up with in COMP Students will work directly with potential customers to validate their business idea and seek advice from an interdisciplinary panel of faculty members acting as their project supervisor.
Usability design and testing, tight integration and collaboration with software development processes are included in UX. Students will follow an iterative and agile approach focusing on User Centered Design UCD as the motivator for product direction. Participants will work within teams, with emphasis on collaboration, brainstorming, and continued evolution of an interface concept based on user centered development. Upon completion successful students will be able to incorporate user centered development iterative design principles and processes into a wide variety of IT projects.
This hands-on course is aimed at those who are creating a functional software project in the areas of websites, web apps, mobile applications, Internet of Things IoT , or PC applications.
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Students will follow an iterative and agile approach using test-driven development to create a minimal viable product MVP. Participants will work within teams, with emphasis on collaboration, brainstorming, and continued evolution of their MVP. Upon completion successful students will be able to incorporate agile development processes and processes into a wide variety of IT projects.
This course provides students with the business communications skills, tools, and processes essential to successfully launch their software business. Students will learn the techniques for building and maintaining client relationships, including building their personal brand and network. Students will plan, develop and deliver sales presentations of varying lengths and formats, such as "elevator" pitches to potential investors and formal team sales presentations to business customers.
In addition, students will develop professional marketing collateral, including presentation slides and direct marketing pieces, to support their new software product. This course is a continuation of Comp Technical Programming 1. The course covers an introduction to human-computer interaction HCI , user experience design, prototyping, usability, web design and implementation, and cloud computing.
Microsoft technologies including the. Course work includes ASP. Principles of HCI, usability, user-centered design, task analysis and aesthetics are discussed and applied.
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During the term, besides class assignments, students will design and implement using the technologies discussed in this course a a web application in small teams, and b a large term project including a web component involving all students in the set. The large project is intended to give students the chance to experience the work and the responsibilities of a real life project. Students will learn to work in teams, manage or report to a manager, keep deadlines, take responsibilities and have initiative. This course introduces the students to system programming using an applied approach.
The topics discussed in this course are: Windows system architecture, processes, threads and jobs, inter-process communications, multi-tasking, kernel objects, threads synchronization, virtual memory, and management mechanisms. Students will apply the concepts by developing real life applications. During the term, students will design and implement a large project. The project is intended to give students the chance to experience the work and the responsibilities of a real life project.
Students will learn to work in a team, manage or report to a manager, keep the deadlines, take responsibilities and have initiative. The Co-op experience allows students to apply the knowledge learned from the program. This is a paid position acquired through the Co-op Education office. Do you want to know if they transfer to courses here at BCIT? The first year of CST introduces the core skills and theory used in all areas of software development.
Web development, programming, scripting, and computer architecture are all introduced. First year culminates in students working as part of a team to build an application of their own design. Students have a choice of option courses, however, there is limited space in each option, and first year grades are considered for option approval.
Specialization Options Artificial Intelligence and Machine Learning The Artificial Intelligence and Machine Learning option focuses on the design and development of software to process, visualize, analyze and model data sets for the purposes of decision making and prediction.
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Students will develop an understanding of the fundamentals underpinning artificial intelligence and machine learning applications. Topics include search, games, constraint satisfaction problems, knowledge and reasoning, regression, classification, clustering, dimensionality reduction and kernel methods. Practical work will focus on analyzing real-world data sets, developing artificial intelligence and machine learning systems, as well as evaluating the performance of the systems for various domains. Client Server. Topics include architecture, modeling and structural issues, inter-process communications, and strategies to ensure performance, reliability, scalability, availability, interoperability, and security in such systems.
Using the latest software development environments and engineering tools, students develop systems and services involving network programming, database programming, web development and operating systems. Students will learn to create and maintain complex virtual computing environments.
Students will also learn how to utilize automated software deployment, continuous integration, continuous delivery and continuous monitoring tools in cloud computing environments according to DevOps development and operations practices. The option culminates in students designing and developing software natively for cloud computing platforms. This type of development involves creating microservices and containers designed for serverless architectures. Please note: students in the Cloud Computing option will be posting their work on servers outside of Canada.
Students will be required to sign a Student Consent Statement acknowledging this fact. The Database option focuses on traditional relational and advanced database technologies, data analytics as well as big data storage and the use of data mining techniques from the fields of artificial intelligence and machine intelligence to gain insights into the data. It also covers modelling, data cleansing and integration, implementation, and access of data warehouse for corporate and financial data, as well as conducting business intelligence using OLAP analysis.
In addition, students will learn how to work with cloud databases, develop data driven applications, provide web services for data consumption from web or mobile applications. The Data Communications and Internetworking option specializes in network architecture design, software development, and network security skills. Courses in the option place a heavy emphasis on practical software development skills such as design, coding, debugging, and testing. The environment is very team-oriented and "real world".
The Digital Processing option focuses on the development of digital image, video, and audio systems especially as it relates to gaming. Emphasis is placed on development of tools for new media applications. Advanced projects are usually drawn from IEEE papers such as template matching, face recognition, image stitching, and others.
The Information Systems option specializes in developing web-based and mobile applications required by medium and large businesses. Students develop large applications with state-of-the-art tools and application servers, and learn to administer Linux and Windows Servers. Topics include system architecture, performance, scalability, and security in distributed systems.
NET, C , Web services. Tech Entrepreneur More than two thirds of Canadian tech firms have only employees. These small firms need to be nimble to grow and compete in this thriving sector. For students who hope to build their own start-up company, or expect to work in one, this option will help them learn the wide range of skills needed to start and grow a company.
Students will work on creating a business from the ground up, including ideation, market validation, legal requirements, business plan, pitching, and creating a Minimum Viable Product MVP. The Technical Programming option covers advanced techniques in design and software development. Topics include code techniques used for desktop, web and distributed applications client-server and three-tier architectures , concurrent programming multi-threading, synchronization and interprocess communication , design principles of human-computer interaction, and project management.
Students gain practical knowledge of low-level aspects of systems and programming constructs e. They analyze the users' needs by applying practical usability strategies and design and construct efficient computer applications with an emphasis on proper design, robust code, documentation, optimization and testing. Students acquire valuable real-world experience through a large-group software development project in term four. All students in the set work together towards the same goal.
The project is intended to give students the opportunity to experience the challenges and responsibilities of a real-life project. The Web and Mobile option is aimed at students who want to specialize in developing software applications for Apple iOS devices, as well as websites. Working in teams they apply industry standards, design patterns and use Agile development with Scrum. During the second year, students work directly with external industry sponsors on computing or IT-related projects via the Industry Sponsored Student Project ISSP , applying their newly-learned skills, and acquiring real-world experience.
Students work in teams with an industry sponsor, proceeding through the development life-cycle to develop an IT or software solution. All students participate in two projects. Two years, full-time beginning in September and January of each year. The September term is 15 weeks in length. The January term is also 15 weeks in length, followed by a five week projects term. In order to be eligible for graduation, students must complete the diploma program requirements within three years of entering the program.
Accepted applicants will be assigned to either the Burnaby or Downtown Campus as part of their admission offer. The degree program is an extension of the diploma program, covering advanced technological and management skills, which can help position graduates for further progression in the IT workplace. Co-operative education The optional co-op education component of the CST program provides students with substantial benefits in their IT career preparation, given that employers are more eager to hire graduates who have had some co-op experience. Students opting for co-op education are required to meet year one performance qualification criteria.
Students will require a minimum of two four-month co-op terms to graduate with a co-op designation on their CST diploma. These two co-op terms could be back to back, or in two separate terms, but they must happen before the final term of the program. Many start their careers as an entry-level software developer, application programmer, software tester, or network or database administrator.
Later they can progress to positions such as systems analyst, IT project managers, team leads, software architects, information security analyst, and senior consultant. Some students take the IT entrepreneurial path by starting their own business. Read more about this alumnus who is creating opportunities for others. The BCIT student outcomes reports present summary findings from the annual survey of former students administered by BC Stats one to two years after graduation. These reports combine the last three years of available results for the BCIT Outcomes Surveys of graduates and for Degree graduates.
The reports are organized into three-page summaries containing information on graduates' labour market experiences and opinions regarding their education. More detailed information can be accessed at the BC Student Outcomes website. To view these results, you may need to have the Adobe Acrobat Reader installed in your Web browser. Please ensure you have reviewed the detailed information on this site, using the navigation to the right, before submitting the form below.
BCIT : : Computer Systems Technology: Full-time, Diploma
As well, if you meet any of the following criteria, please follow the links for more information, instead of sending the form: you are an international student you are looking for financial aid you have already applied and want to check your application status. I have read the information above and still have a question I need answered. If you've missed a Computing Full-time Programs information session, you can watch the full video.
Note : This information session was held December 1, and topics discussed in this session are subject to change without notice. School of Computing and Academic Studies. Software developers for a complex world Note: The January intake is closed for new applications. Applications for direct entry and re-admission may be submitted. The September intake will be open for applications starting November 1, Acquire fundamental software development skills in a Common First Year.
Enter Workforce. Entrance requirements Competitive Entry: Two-step process Preference will be given to applicants with: Academic grades above the minimum secondary or post-secondary Computer Science 11 or Computer Science 12 Applicants with preferred entrance requirements are to submit transcripts and supporting documentation with their online application.
Recommended for success BCIT is committed to providing assistance to all its full- and part-time students with permanent or temporary, visible or non-visible disabilities. Advanced Placement You may be eligible to apply to an advanced level of the program through 1. Re-admission: Have you completed part of this program at BCIT and want to apply to resume your studies?
You must submit an approved re-admission form from the program area with your online application. Applications are accepted throughout the year. You must submit an approved pre-entry assessment from the program area and proof of meeting all Level 1 entrance requirements with your online application. Apply to program Note: The January intake is closed for new applications. Scheduled intakes September and January each year.
Tuition fees Please see the Fees, Payments and Refunds section of the website for information on full-time tuition fees. General estimated cost, subject to change. Common First-Year The first year of CST introduces the core skills and theory used in all areas of software development. Note: availability of options is subject to change, and some options are not offered every term. Database The Database option focuses on traditional relational and advanced database technologies, data analytics as well as big data storage and the use of data mining techniques from the fields of artificial intelligence and machine intelligence to gain insights into the data.
Data Communications and Internetworking The Data Communications and Internetworking option specializes in network architecture design, software development, and network security skills. Digital Processing The Digital Processing option focuses on the development of digital image, video, and audio systems especially as it relates to gaming. Information Systems The Information Systems option specializes in developing web-based and mobile applications required by medium and large businesses.
Technical Programming The Technical Programming option covers advanced techniques in design and software development. Web and Mobile The Web and Mobile option is aimed at students who want to specialize in developing software applications for Apple iOS devices, as well as websites. Program length Two years, full-time beginning in September and January of each year. Graduate employment outcomes The BCIT student outcomes reports present summary findings from the annual survey of former students administered by BC Stats one to two years after graduation.
Computer Systems Technology. Advisory committee BCIT is well-respected by employers for its ties to industry. In Computing, this connection is formalized through a Program Advisory Committee PAC comprised of experts in a range of roles from a cross-section of companies. The department consults regularly to ensure program currency and relevance. Contact Us. Principia Mathematica - also meaning Principles of Mathematics - was written with a purpose to derive all or some of the mathematical expressions , in terms of symbolic logic. Principia Mathematica was initially published in three volumes in , and Simon to "mimic human reasoning" in proving theorems and was demonstrated on fifty-two theorems from chapter two of Principia Mathematica, proving thirty-eight of them.
After an unsuccessful attempt at publishing their results, Newell, Shaw, and Herbert reported in their publication in , The Next Advance in Operation Research :. Automated reasoning has been most commonly used to build automated theorem provers.
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Oftentimes, however, theorem provers require some human guidance to be effective and so more generally qualify as proof assistants. In some cases such provers have come up with new approaches to proving a theorem. Logic Theorist is a good example of this. The program came up with a proof for one of the theorems in Principia Mathematica that was more efficient requiring fewer steps than the proof provided by Whitehead and Russell. Automated reasoning programs are being applied to solve a growing number of problems in formal logic, mathematics and computer science, logic programming , software and hardware verification, circuit design , and many others.
There is also a competition among automated theorem provers held regularly at the CADE conference Pelletier, Sutcliffe and Suttner ; the problems for the competition are selected from the TPTP library. See also: Logic machines in fiction and List of fictional computers. From Wikipedia, the free encyclopedia. Siekmann and Wrightson, vol.
Lecture Notes in Computer Science. Retrieved Computer science. Computer architecture Embedded system Real-time computing Dependability. Network architecture Network protocol Network components Network scheduler Network performance evaluation Network service. Interpreter Middleware Virtual machine Operating system Software quality. Programming paradigm Programming language Compiler Domain-specific language Modeling language Software framework Integrated development environment Software configuration management Software library Software repository.
Software development process Requirements analysis Software design Software construction Software deployment Software maintenance Programming team Open-source model. Model of computation Formal language Automata theory Computational complexity theory Logic Semantics. Algorithm design Analysis of algorithms Algorithmic efficiency Randomized algorithm Computational geometry. Discrete mathematics Probability Statistics Mathematical software Information theory Mathematical analysis Numerical analysis. Database management system Information storage systems Enterprise information system Social information systems Geographic information system Decision support system Process control system Multimedia information system Data mining Digital library Computing platform Digital marketing World Wide Web Information retrieval.
Cryptography Formal methods Security services Intrusion detection system Hardware security Network security Information security Application security. Interaction design Social computing Ubiquitous computing Visualization Accessibility. Concurrent computing Parallel computing Distributed computing Multithreading Multiprocessing.
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Natural language processing Knowledge representation and reasoning Computer vision Automated planning and scheduling Search methodology Control method Philosophy of artificial intelligence Distributed artificial intelligence. Supervised learning Unsupervised learning Reinforcement learning Multi-task learning Cross-validation. E-commerce Enterprise software Computational mathematics Computational physics Computational chemistry Computational biology Computational social science Computational engineering Computational healthcare Digital art Electronic publishing Cyberwarfare Electronic voting Video games Word processing Operations research Educational technology Document management.
Alphabet of human thought Authority control Automated reasoning Commonsense knowledge Commonsense reasoning Computability Formal system Inference engine Knowledge base Knowledge-based systems Knowledge engineering Knowledge extraction Knowledge representation Knowledge retrieval Library classification Logic programming Ontology Personal knowledge base Question answering Semantic reasoner. Know A.