35 courses with the subject DSCI, 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.
This course focuses on the foundational IT concepts including identifying and explaining computer components, installing software, establishing network connectivity and preventing security risks. Students will also learn to apply basic computer maintenance and support principles as well as principles of software and database development.
This introduction to computer science, 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 and interactive media and attend class f
his 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 begins with the introduction of a data warehouse. Students will learn the concepts, tools and application of data warehouse for business reporting and online analytical processing. Students will also learn how to create visualizations and dashboards, and descriptive analytics. The material builds from the concepts learned in basic statistics courses. Core tools used in this course include Microsoft Excel, and SAS Visual Analytics. Excel will be used to teach the basics of visualizations - like bar charts, line charts etc. in order to ramp-up the students’ expertise into SAS Visual Analytics. SAS Visual Analytics will be used as a tool to introduce students to data warehousing, and building
The impact of technology and networks on our lives, culture, and society continues to increase. The very fact that you can take this course from anywhere in the world requires a technological infrastructure that was designed, engineered, and built over the past sixty years. To function in an information-centric world, we need to understand the workings of network technology. This course will open up the Internet and show you how it was created, who created it, and how it works. Along the way we will meet many of the innovators who developed the Internet and Web technologies that we use today. After this course you will not take the Internet and Web for granted. You will be better informed about importa
This course, built in collaboration with Google, provides a gentle, but thorough, introduction to programming using Python. You will learn the core concepts and techniques needed to create programs and perform basic data analysis. By the end of this course, you’ll be ready to pursue further study in computer science and unlock more advanced programming courses. This online class has optional live sessions.
Blockchain and Cryptocurrency have become two words that are on everyone’s lips in recent years, but what are they? This course is your gateway to the world of decentralized networks: the world of the blockchain. You’ll learn how a blockchain works, what it does and why people care about both it and cryptocurrency. You’ll even learn a bit of programming and how to set up your own node and get on the blockchain yourself. This online class has optional live sessions.
The Internet has changed dramatically; so have the activities that are dependent on it in some shape or form. Understanding the need for security, it’s influence on people, businesses and society, as well as business drivers is critical. The course also covers malicious attacks, threats and vulnerabilities common to the world of security, as well as access controls, and methods to assess and respond to risks. Hands-on labs accompany the various concepts that are taught.
his 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: DSCI105
This course provides the conceptual and technical foundations of various aspects of Data Analytics. The purpose is to prepare students with foundation skills in Big Data, a skill widely needed and valued across the business world. The course will expose students to the data analytics practices executed in the business world and explores key areas of the analytical process, how data is created, stored, accessed, and how organizations work with data and creates the environment in which analytics can flourish. This course will provide students with a strong foundation in all the areas that support analytics and will help them to better position themselves for success within any organization.This course pr
An introduction to the theory and structure of modern operating systems, including hardware abstraction, process management, memory management, system performance, and security. Specific attention to multi-threaded processing, semaphores, locking and inter-process communication.Prerequisite: DSCI102 & DSCI103(Formerly INTC102/INTC103)
This course 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 data sets 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 data sets chosen by the students will be an important part of the course.Prerequisite: DSCI102 & DSIC103 (Formerly INTC102/103)
This course introduces students to the fundamental concepts of computer networks and data communication, including a survey of major protocols, standards, and architectures. Students will use the concepts and terminology of data communications in describing how software applications and network services communicate with one another. Students will read and analyze network traces to monitor communications, diagnose issues, and evaluate protocols.Prerequisite: DSCI102 & DSCI103(formerly INTC102/103)
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 cryptology. Prepares students for advanced study of modern cryptography. Experience implementing encryption, decryption and crypt-analytic methods on a variety of systems.Prerequisite: DSCI102, MATH208 & MATH209
This course provides a conceptual survey of general systems theory followed by a conceptual and technological survey of the structure of distributed information systems architectures, operating systems, network operating systems, peripheral technology and user interfaces. Interoperability between these architectural components will be explored and current technology and trends in each architectural element will be reviewed. This course will de-emphasize, although not ignore, mainframe architectures in favor ofinformation architectures more applicable to client/server computing. The various interacting categories of client/server computing as well as the benefits and implications of such a system will be fully explored.Prerequisite: DSCI200
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 Ana
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.
Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. The course covers issues both theoretical and practical. Students will be presented with algorithms and approaches in such a way that can ground them in larger systems as they learn about a variety of topics, including statistical supervised and unsupervised learning methods, randomized search algorithms and reinforcement learning.Prerequisites: DSCI102, DSCI103 & DSCI204
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.Prerequisites: BUSS220 & DSCI202
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.Prerequisites: DSCI102 & DSCI103
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 techni
Credits: 3
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.Prerequisites: DSCI303
This course introduces students to research method techniques and common statistical applications of importance to healthcare managers. Emphasis is placed on the study of statistical techniques for problem-solving and decision-making including the theoretical and applied statistical and quantitative skills required to understand, conduct and evaluate managerial research. Students will learn to distinguish between types of research (quantitative and qualitative) with an emphasis on the use of quantitative analysis in healthcare organizations. Basic research methods are described, including surveys, observational studies, experimental and quasi-experimental design; and the use of primary and secondary data sets. Statistical techniques for analyzing and interpreting data will include descriptive statistics, hypothesis testing, probability, sampling, t-tests, ANOVA, chi-square analysis, correlation, and linear regression.P
This course includes extensive discussion of the legal constraints, both civil and criminal, that underlie acceptable behavior using computers and networks today. Prerequisites: BUSS205 & DSCI103
Modern development relies on frameworks which provide developers with powerful tools to speed up development. If you want to build apps, you need to understand how to use frameworks. This course, which has been built in collaboration with Google, will introduce you to Django - a framework used for data-driven web applications. You’ll learn the fundamentals of Django, improve your database management skills, and begin developing your own apps. This online class has optional live sessions.
This course introduces students to R, a widely used statistical programming language. Students will learn to manipulate data objects, produce graphics, analyze 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.Prerequisites: DSCI102, DSCI202 & DSCI204
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. Prerequisite: DSCI308
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. Prerequisites: DSCI205 & DSCI310
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.Prerequisite: Senior St
Creating software products is more than just writing code, it also requires an analysis of what your customers want, and how to meet their needs. As a result, understanding product development is key to a successful career in technology. By the end of this course (built in collaboration with Google), you will understand how product teams and processes work, and learn how to develop an idea into an actual product that delights your users. This online class has optional live sessions.
This is a hand-on experience in a data science work or research setting that offers students an opportunity to apply concepts, theories, and practices learned in the classroom in a supervised setting. Students must successfully complete a minimum of 150 hours of field experience in addition to course assignments. Prerequisite: Permission of Program Chair. Requirement for Cybersecurity and Data Analytics Majors
An introduction to the ethical and social consequences of collecting, curating, and analyzing data in academia, public and private contexts. A socio-technical stance is taken in unpacking issues of algorithmic biases, fairness, transparency, and accountability. Additionally, students develop a strong understanding of responsibilities and issues associated with the culture of the sports science field. Students will develop an understanding of the importance of effectively and accurately communicate data in sports environments. Students will practice building effe
This course covers the concepts of information technology used in manipulating, storing, and analyzing big data. Students gain an understanding of the tools used for statistical analysis, Python, and several machine learning algorithms for application in an industry setting. Emphasis is on designing, implementing, and developing machine learning algorithms. Focus is placed on interpretation and visualization of results.
This is an introductory course in design and evaluation of interactive visualizations for data analysis. Topics include human visual perception, visualization design, interaction techniques, and evaluation methods. Students develop projects to create their own web-based visualizations and develop competence to undertake independent research in visualization and visual analytics. Pre-requisite: Data Analytics
Source: Lasell University's catalog, linked per course · table learning_unit · CourseShelf publish 61
