21 courses with the subject CS, 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.
3 sem. hrs. This course covers the fundamentals of modern computing for non-technical majors. Topics include operation systems, Microsoft Office Suite, fundamentals of hardware and software, file management, networking and the internet, digital security, and the impact of computing and the internet on society.
3 sem. hrs. An introduction to computer programming. The course will include basic data and control structures, an overview of program organization and problem solving using structured programming, and recursion.
3 sem. hrs. This is the second course in computer programming and the continuation of CS 131. This semester deals with more advanced topics such as generative recursion while maintaining the strong focus on design principles learned in CS 131.
3 sem. hrs. Offered every semester. In the first half of the course, you will learn how to leverage your Python skills to treat the internet as a source of data. The second half of the course will teach you the fundamentals of Structured Query Language (SQL) and database design. By the end of the course, you will improve your programming skills and learn how to build a range of applications. This online class has optional live sessions.
1-3 sem. hrs. May be repeated for credit. These courses are available for students who have demonstrated an ability to work without 130 CO URSES
3 sem. hrs. Offered alternate years, spring semesters. Computers operate according to specific organization and logic. The logic is at the most basic level. In order to understand how computers work at the most thorough level, this course emphasizes the importance of understanding their language and organization.
3 sem. hrs. Offered alternate years. This course explores object-oriented programming principles using programming language. Emphasis is placed on event-driven programming methods, including creating and manipulating objects, classes, and using object-oriented tools such as the class debugger.
3 sem. hrs. Offered alternate years. Theory and implementation of data structures using an object-oriented programming language; investigation of how and why different data structures should be used in various programming situations. The data structures will include arrays, stacks, queues, lists, trees, and graphs.
3 sem. hrs. 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.
3 sem. hrs. 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 CO UR S E S 131
3 sem. hrs. Offered as needed. May be repeated for credit. In-depth study of a selected topic in computer science. Past topics have included: discrete mathematics with computer applications, network architecture, and programming.
2-4 sem. hrs. Offered every semester. May be repeated for credit. Graded: S/U. Individually arranged work relating to computers in an industrial, academic, or governmental setting. Primary responsibility rests with the student for making her or his own arrangements in consultation with the instructor.
3 sem. hrs. Offered alternate years. We investigate supervised and unsupervised learning techniques such as linear and logistic regression, k-nearest neighbors, decision trees/forests, etc. In particular we will focus on the relative strengths and weaknesses of these techniques, evaluation the accuracy of a technique, and how to select the best technique for the job at hand. We will finish with reinforcement learning, and will complete a project on the topic.
3 sem. hrs. Offered alternate years, spring semesters. A study of algorithmic solutions to problems, including techniques used in the design of algorithms, analysis of complexity, and proof of correctness. Usual types of algorithms include greedy algorithms, divide and conquer, flow problems, and dynamic programming.
3 sem. hrs. Offered alternate years, spring semesters. An introduction to database management systems with emphasis on the relational model. Topics include the entity-relationship model, relational algebra and calculus, principles of database design, query processing, and file organization. A project will be implemented in a commercial database package.
3 sem. hrs. 132 CO URSES
3 sem. hrs. 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.
3 sem. hrs. This course - built in collaboration with Google - is the second part of the application development series. In this course, you will put your skills into practice and build your own application. By the end of this course, you’ll have a greater understanding of the technologies that power modern apps and be able to build your own.
3 sem. hrs. 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.
3 sem. hrs. 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. CO UR S E S 133
1 sem. hr. Offered as needed. May be repeated for credit. In-depth study of an area of special interest. Topic determined jointly by a faculty member and student(s) in consultation. Meets weekly for one hour.
Source: Wells College's catalog, linked per course · table learning_unit · CourseShelf publish 61
