23 courses with the subject INTC, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
INTC 102Introduction to Computer Science
This introduction to computer science, developed by Google and their university partners, emphasizes problem solving and data analysis skills along with computer programming skills. Using Python, students learn design, implementation, testing, and analysis of algorithms and programs. And within the context of programming, they will learn to formulate problems, think creatively about solutions, and express those solutions clearly and accurately. Problems will be chosen from real-world examples such as graphics, image processing, cryptography, data analysis, astronomy, video games, and environmental simulation. Students get instruction from a world-class computer science professor, delivered remotely through video
This course provides students with the fundamental skills and concepts required to maintain, support, and work efficiently with personal computers. It will assist students in preparing for the Digital Transformation.The course is organized around the five important uses of technology in business - IT concepts, Infrastructure, Applications and Software Development, Database fundamentals, and Security and Cloud Computing.
This course is an introduction to basic IT knowledge and skills. It focuses on the essential IT skills and knowledge needed to perform tasks commonly performed by advanced end-users and entry-level IT professionals alike, including: Using features and functions of common operating systems and establishing network connectivity; Identifying common software applications and their purpose; and using security and web browsing best practices.This course will provide students with the opportunity to earn a professional certificate from CompTIA in IT fundamentals.
This course begins with an introduction of a data warehouse. Students will learn the concepts, tools, and application of Data Warehouse for business reporting and Online Analytical Processing. The course will also teach students how to create visualizations and dashboards and Descriptive Analytics. Core tools used in this course are Microsoft Excel and SAS Visual Analytics. Excel will be used to teach the basics of Visualizations - like Bar charts and Line charts. in order to increase student expertise in SAS Visual Analytics. SAS Visual Analytics will be used as a tool to introduce students to Data Warehousing and building basic visualizations. Students will also be exposed to Facts and Dimensions.
This course begins with an introduction of a data warehouse. Students will learn the concepts, tools, and application of Data Warehouse for business reporting and Online Analytical Processing. The course will also teach students how to create visualizations and dashboards and Descriptive Analytics. Core tools used in this course are Microsoft Excel and SAS Visual Analytics. Excel will be used to teach the basics of Visualizations - like Bar charts and Line charts. in order to increase student expertise in SAS Visual Analytics. SAS Visual Analytics will be used as a tool to introduce students to Data Warehousing and building basic visualizations. Students will also be exposed to Facts and Dimensions.
This course focuses on building and enhancing skills from the Data Warehousing and Business Intelligence course. Students will expand their concepts of Business Intelligence, Visualizations, Dashboards, and Descriptive Analytics. The core tool used in this course is SAS Visual Analytics. Students will create visualizations, dashboards, and export reports to be able to present to the class. Prerequisite: INTC104X
This course provides the conceptual and technical foundations of various aspects of Big Data Analytics. The purpose is to help students acquire foundation skills in Big Data - which can be used to further their specialization in a niche within Big Data. Upon completion of the course students should be able to:•Understand what is Big Data, Cloud Computing and NoSQL Databases.•Various components and architecture of Big Data Analytics.•Different types of Analytics: Text, Descriptive, Predictive and Prescriptive.•How Big Data Analytics is used in different contexts.•Using Analytics and Dashboards to present Actionable Insights.Prerequisite: MATH208
This course serves as an introduction to the theory and structure of modern operating systems including hardware abstraction, process management, memory management, system performance and security. Specific attention is payed to multi-threaded processing, semaphores, locking and interprocess communication.
How to Think Like a Data Scientist introduces students to the importance of gathering, cleaning, normalizing, visualizing and analyzing data to drive informed decision-making, no matter the field of study. Students will learn to use a combination of tools and techniques, including spreadsheets, SQL and Python to work on real-world datasets using a combination of procedural and basic machine learning algorithms. They will also learn to ask good, exploratory questions and develop metrics to come up with a well thought-out analysis. Presenting and discussing an analysis of datasets chosen by the students will be an important part of the course. Like INTC 102, this course will be "flipped," with content learned outs
This course introduces students to the fundamental concepts of computer networks and data communication including a survey of major protocols, standards, and architectures. Students use concepts and terminology of data communications effectively in describing how software applications and network services communicate with one another. Students read and analyze network traces to monitor communications, diagnose issues, and evaluate protocols. Prereq: INTC102 & INTC103
A course that covers fundamental mathematical concepts from modern algebra, number theory, and other areas of mathematics. Provides a foundation for the understanding of classical encryption systems and modern encryption methods. Emphasis on the mathematical underpinnings germane to cryptoloty. Prepares students for advanced study of modern cryptography. Experience implementing encryption, decryption and cryptanalytic methods on a variety of systems. Prereq: MATH208 & INTC102
This course provides the conceptual and technical foundations of various aspects of Big Data Analytics. The purpose is to help students acquire foundation skills in Big Data - which can be used to further their specialization in a niche within Big Data. Upon completion of the course students should be able to understand: What Big Data, Cloud Computing and NoSQL Databases are; Various components and architecture of Big Data Analytics; Different types of Analytics including Text, Descriptive, Predictive and Prescriptive; and how Big Data Analytics is used in different contexts. Students should also be able to use Analytics and Dashboards to present actionable Insights. This course will use SAS Visual Analytics as
This course focuses on the concepts, terminology and practice of network security. Topics include the fundamental goals of network security and practical applications of wired and wireless network security techniques such as applications of cryptology in network protocols, authentication, access control, network security devices such as firewalls and intrusion detection and prevention systems, incident response, log analysis, honeypots and honeynets. Prereq: INTC205
Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. This area is also concerned with issues both theoretical and practical.In this course, we will present algorithms and approaches in such a way that grounds them in larger systems as you learn about a variety of topics, including:statistical supervised and unsupervised learning methods, randomized search algorithms, reinforcement learning: Prereq: INTC102 & INTC202
The course provides the conceptual and technical foundations of various marketing metrics and research methods. The purpose of the course is to allow students to acquire practical marketing skills in Data Analysis via hands-on experience. Prereq: BSS220 & INTC202
This course focuses on management of the information assurance process. Topics include human factors in reducing security breaches, security incident detection and response, remediation, management's role in information assurance, and other considerations in framing and implementing information assurance policies. Prereq: INTC102 & INTC103
This course provides students with the opportunity to write useful Python applications in the ETL, web, and data analysis domains and knowledge of industry-standard tools and techniques for working within a development team. The course goes further into Python’s powerful advanced features, such as user-defined classes, object-oriented design, decorators, and generators. Students will learn to employ the most widely used algorithms and libraries to solve common problems in the field and gain a working familiarity with statistical analysis and visualization using Pandas, NumPy, and Matplotlib. . Query and parse HTML, XML, and JSON are used.. Students will learn to apply industry-standard tools and techniques for w
In this course, students will be introduced to the fundamentals of the art and science of Predictive Analytics as it relates to improving business performance. This hands-on course covers the key concepts necessary to extract stored data elements, understand what they mean from a business point of view, transform their formats, and derive new relationships among them to produce a dataset suitable for analytical modeling. At the end of the course, participants will be tasked with using these skills to produce a fully processed data set compatible for building powerful predictive models that can be deployed to increase profitability. Prereq: INTC303
This course includes extensive discussion of the legal constraints, both civil and criminal, that underlie acceptable behavior using computers and networks today. Prereq: BUSS205 & INTC103
This course introduces students to R, a widely used statistical programming language. Students will learn to manipulate data objects, produce graphics, analyse data using common statistical methods, and generate reproducible statistical reports. They will also gain experience in applying these acquired skills in various public policy areas. Prereq: INTC102 & INTC202
Acquire in-depth knowledge on advanced predictive analytics topics and apply those to real-world situations. These scenarios illustrate the significant role that predictive analytics plays. You pay particular attention to developing your ability to effectively interpret the outcomes of statistical models. You also focus on time series data analysis and survival analysis using the SAS system. Prereq: INTC308
This course provides student with the opportunity to perform basic forensic techniques and use appropriate media analysis software. Basics of security, structure and protocols of network operating systems and devices are covered as students will work to gather evidence in a networked environment and to image and restore evidence properly without destroying value. Students will practice gaining evidence from a computer system while maintaining its integrity and a solid chain of custody. Within the laboratory, students will gain hands-on experience in the use of current investigative tools.Prereq: INTC205 & INTC310
This course allows students to develop the competencies and skills for planning and controlling projects and understanding interpersonal issues that drive successful project outcomes. Focusing on the introduction of new products and processes, students will examine the project management life cycle, define project parameters, matrix management challenges, effective project management tools and techniques, and take on the role of a project manager. This course is designed to guide students through the fundamental project management tools and behavioral skills necessary to successfully launch, lead, and realize benefits from projects in both for-profit and non-profit organizations. Prereq: Internship & INTC103
