Mathematics, Physics, and Computer Science

This course will introduce you to the fundamentals of Cloud Computing, Infrastructure and Networking, and will explore how the cloud is used in a range of situations, including IT, App Development and Machine Learning. By the end of the course you will know what the cloud is, and how to use it effectively. This course uses the Google Cloud Platform (GCP) and was built in concert with the Google Cloud Learning Services team.

This course continues the study of the computer language and programming topics begun in CSC 115 and covers some tools and resources that are available in the larger “eco-system” of the programming language under study.

This course focuses on data analysis in settings where the data is so large, dispersed or messy that machine-processing is required to gather, clean and transform it into forms suitable for analysis. We also study computer-based techniques for the analysis of such data, including machine data visualization and modeling with data. Principles of reproducible research are studied and put into practice throughout the course.

The study of one or more web programming languages, and the application of these languages in frontend and back-end web development.

This course continues the work of CSC 303.  Topics include supervised machine-earning, unsupervised machine-learning, interactive graphics, database query, web-app frameworks for data exploration and reporting, and workflow-tools such as version-control systems.  Additional topics such as network analysis or text-based analysis may be covered as time permits.

To thrive in today’s digital world, you need to understand the system that powers it. This course, built in collaboration with Google, will explore the internet and show you how it works. This class focuses on hands-on learning of important topics like cybersecurity, networking, and programming. By the end, you’ll be able to evaluate your options for a rewarding career in technology. At minimum, you'll be a much wiser network citizen.

This course, built in collaboration with Google covers everything you need to know in order to build a website from scratch. You'll learn HTML, CSS and Javascript - the core technologies which power modern websites - and build a website of your own. By the end of this course you'll be able to create interactive, aesthetically pleasing websites for any purpose you can imagine.

Information Technology continues to be one of the most important topics in the modern workforce. This course will introduce you to the fundamentals of the field and teach you a range of valuable professional skills, including how to set up operating systems, how to troubleshoot problems, and how to build a computer. By the end of this course, you’ll be prepared to take your next steps in IT and start solving technology problems on your own.

Whether a workplace is just a few people connected to a wireless router, or a financial giant, wired directly into the Nasdaq, it likely relies heavily on Network Technologies. This course will teach you how networks work, and how to set up and secure them. By the end of this course, you will be able to manage and maintain a range of different network types.

Whether you’re using a Mac or a PC, operating systems are a key part of how humans interface with technology. Therefore, understanding how they work is vital to understanding how computers power our world. This course will teach you the fundamentals of Operating System structure, function, and architecture, and prepare you to administer both Windows and Linux-based systems.

Modern applications often rely on databases and, by extension, need software systems to manage those databases. One such system is PostgreSQL, which is notable for including many features that help facilitate application development and protect data. By the end of this course, you will be able to use PostgreSQL to manage databases and support application development and integration.

Imagine a world where people were trying to steal from every home, workplace, or bank - all the time. That’s the world of digital security+y. Because it’s cheap to launch attacks on every system you can find, virtually every organization and individual is always under some level of digital attack. This course will teach you how to help defend against this constant assault and keep valuable information and critical systems safe.

So far, you’ve learned how to solve problems as they occur, and how to address the various components that make up an organization’s IT ecosystem. This course will put it all together. You’ll learn how to solve systemic problems across all layers of an organization and guide transformational change. By the end of this course, not only will you know how to solve IT problems as they arise, you’ll be able to prevent those problems from happening in the future.

A survey of algebraic techniques and of functions. Topics include solving equations and inequalities, graphs, transformations of functions, inverse functions, and exponential and logarithmic functions. Can be used as preparation for MAT109. Not applicable to a major or minor in mathematics. Students with a grade of C or higher in MAT123 (or its equivalent) may not subsequently take MAT107 for credit.

An introductory study of statistics, including such topics as numerical and graphical descriptive statistics, sampling methods and design of studies and experiments, basic probability, the distribution of sampling statistics, and inferential procedures such as confidence intervals and tests of hypotheses. Not applicable to a major or minor in Mathematics.

An introductory mathematics class with a focus on practical applications including but not limited to: money management, basic statistics, voting and social choice, and management science. Students with a grade of C or higher in MAT109 or MAT125 (or its equivalent) may not subsequently take this course for credit.  Not applicable to a major or minor in Mathematics.

A survey of algebraic and trigonometric techniques and functions designed to prepare students for the study of calculus. Topics include a review of algebra, exponential and logarithmic functions, trigonometric functions, and trigonometric identities. If time permits, systems of equations and conic sections will be introduced. Not applicable to a major or minor in mathematics.

A study of the derivative, its applications, and an introduction to the integral. Topics include limits, continuity, techniques of differentiation, optimization, the Fundamental Theorem of Calculus, and indefinite integrals.

A continuation of MAT203. A detailed development of the mathematics taught in elementary school using a problem-solving approach. Topics include further development of the real numbering system, informal geometry, probability, and statistics. For elementary education majors only.

An introduction to fundamental theoretical concepts of mathematics. Topics include logic, techniques of proof, elementary set theory, mathematical induction, relations and functions, and counting techniques.

A theoretical study of systems of linear equations and vector spaces. Topics include matrix algebra, linear transformations, eigenvalues and eigenvectors, determinants, and linear programming.

A continuation of the study of single-variable calculus, and a study of multivariable calculus. Topics include parametric equations, polar coordinates, vectors, and vector-valued functions, partial differentiation, Lagrange multipliers, and double and triple integrals.

A study of chance phenomena and probability distributions, with selected applications. Topics include probability laws and elementary combinatorics, random variables, discrete and continuous probability distributions, joint distributions, conditional probability, and Central Limit Theorem.

A rigorous but non-axiomatic treatment of advanced geometry on the Euclidean plane, from two or more points of view. Possible viewpoints include synthetic geometry, vector geometry, and geometry using complex numbers. Usually additional topic(s) will be covered, with such topics typically being drawn from axiomatic development of elementary geometry, geometry in higher dimensions, non-Euclidean geometries, and historical studies, especially geometry in non-Western cultures.

A course on modeling in statistics, with a focus on applications. Topics include: basic model designs, geometric understanding of models and random vectors, interpretation of models and inference from them (confidence intervals and hypothesis testing), investigating causation, experiments.

An introduction to the physical sciences through an examination of sustainable energy. The course is primarily for non-science majors and pre-service elementary and middle school teachers. Mathematics requirements will be kept to a minimum. Laboratory.

Introduction to atmospheric structure and behavior including cloud structure and precipitation as well as the effects of pressure, density, temperature, and humidity differences on energy transport and atmospheric motions. Climate, weather forecasting, air pollution, and other applications will be covered. No laboratory.

Content covers the earth, moon, planets, dwarf planets, asteroids, comets, TNO’s, and the sun. The planetarium is used occasionally. No laboratory.

Content covers stars, stellar life cycles, pulsars, supernovae, black holes, clusters, galaxies, galactic clusters, quasars, bursters, and the Big Bang theory of cosmology. Occasionally use of the planetarium. No laboratory.

Technology companies spend billions of dollars ensuring that their products are intuitive and delight users. This course will teach you how they do that. You’ll learn what drives product usability, the basics of User Experience (UX) design and research, and how to build wireframes and prototypes. By the end of this course, you’ll be on your way to building experiences that make customers happy.

This course builds upon User Experience I and will teach you how to build effective user experiences through a rigorous process of implementing best practices, testing designs, and iterating. You will also cover topics such as branding, color palettes, user journeys, and designing for multiple platforms. By the end of this course, you will be able to build a mobile app or website prototype and iterate upon it based on user feedback.

One of the main goals of a company’s website is to improve its bottom line. In this course, you will propose and build a new website for an existing company. This website should be optimized to boost conversion events for the company in question. In doing so, you will need to research customer behavior and industry trends in order to successfully generate leads and sales. This course will test all of the skills built up through the Web Design major - design, prototyping, optimization, and programming.