Discussion of the ethical and legal issues created by the introduction of information technology into everyday life. Codes of ethics for computer users. Topics may include, but are not limited to, information ownership, individual privacy, computer crime, communications and freedom of expression, encryption and security.
Introduction to and development of skills in the creation and use of spreadsheets. The student will also learn how to set up and create graphs from spreadsheets and to create macros. Extensive use of microcomputer software such as Excel.
This course is a continuation of CS-120. Students will learn how to use Excel as a practical business tool with in-depth use of formulas and functions and efficient worksheet and workbook design. Some topics in Excel databases and the creation of simple macros will also be covered. Prerequisite: CS-120 or competency in spreadsheets.
Creating a database structure, entering and updating data, generating reports based on querying the database. This course includes a project. Hands-on use of software such as MS Access.
A course in programming in the high-level programming language of SAS which is used extensively in business, government, and education. By the end of the course the student will be able to immediately apply her skills in real-life programming solutions. Applications in data gathering and manipulation, report generation, and elementary statistical procedures. No previous programming experience is required. Prerequisite: computer literacy. Prior experience in statistics is recommended.
Students learn how a computer works and how to make it work as they design, code, debug and document programs to perform a variety of tasks. This course is intended for students who have not programmed a computer before, but may also serve as an introduction to Java (or other language) even if the student DOES know some programming.
A continuation of programming concepts with an emphasis on object-oriented fundamentals (abstractions, encapsulation, inheritance, polymorphism) and more advanced programming projects. Industry best practices will be discussed. Prerequisite: CS-190 with a grade of C or better.
An introduction to programming in Visual Basic. Emphasis will be placed on the event-driven, graphical nature of Visual Basic, as opposed to procedure-oriented programming. Topics include form layout, event-driven Windows programming concepts, variables and data types, objects and properties, control structures, file management, accessing databases, linking applications, Web page development from a Visual Basic application, and developing and using ActiveX controls. This course is intended for those with programming experience. May be taken without prerequisite course with instructor's consent. Prerequisite: CS-190.
An introduction to various topics chosen from combinatorics, propositional logic and graph theory. Topics include counting techniques, permutations and combinations, induction and recursion, Boolean algebra, planarity, minimal paths and minimum spanning trees. Recommended for middle grades and secondary mathematics licensure students. Also offered as MAT-262.
This course will provide opportunities for freshman and sophomores to participate in original research in computer science. Students will submit findings in a formal written report and/or will give a presentation. Students will be expected to work approximately three hours per week on the research project for each semester hour of credit. May be repeated for a maximum of six credit hours.
Topics include the sequential and linked allocation of lists, stacks, queues, trees, and graphs. Students gain maturity by writing complex algorithms and through studying run time analysis and program integrity. Prerequisite: CS-212 with a grade of C or better.
The main theme of the course is solving problems and creating opportunities with technology in an organizational setting. Topics include how information systems affect and are affected by organizational goals and strategies; basic overviews of the components of an information system; hardware, software, data storage and retrieval, and network communications; the Internet; the information systems development process; and systems development as planned organizational change. Prerequisite: Completion of the General Education fundamental computer skills competency requirement.
In the ever shifting and related fields of operating systems and networking, this course teaches the fundamental aspects of computing systems including security, memory management, job scheduling, synchronization, client-server programming and distributed programming. There will also be significant hands-on application of principles in the lab. Prerequisites: CS-212 with a grade of C or better.
This course is about visualizing models on the computer screen, including 2D and 3D images, perspective, shading, animation and stereo. The course will use and study numerical models of such interesting phenomena as geometric objects, fractals, trajectories and propagation of waves. Prerequisites: CS-212 with a grade of C or better.
A computer-oriented study of analytical methods in mathematics. Topics include solving non-linear equations, least squares approximation, interpolating polynomials, numerical differentiation, and numerical quadrature. Also offered as MAT-360. Prerequisites: CS-190 and MAT-212.
Introduction to the principles of design, coding, and testing of software projects; the software development cycle; and managing the implementation of large computer projects. Students undertake a large team project. Prerequisites: CS-230 and CS-301.
A seminar course for computer science majors. Students will research and present current developments and topics in computer science. Post-graduation opportunities will be explored and preparation for these opportunities will be discussed. Course open to juniors and seniors only. Prerequisites: 12 credits from CS.
Supervised experience in business, governmental, or non-profit institutions where work is related to student interest in computer science. Limited to Computer Science majors with a minimum GPA of 2.00 in the major and 12 hours in computer science. Can be repeated for a total of 3 credit hours. Pass/fail grading only. Instructor consent required.
With a faculty mentor, the student will formulate and execute an original research project that will culminate in a paper and a presentation. The research project must meet Honors Program thesis requirements as well as the expectations of the computer science faculty. Enrollment limited to seniors or second semester juniors in the Honors and/or Teaching Fellows Programs.
With a faculty mentor, the student will formulate and execute an original research project that will culminate in a paper and/or a presentation. Open to juniors and seniors majoring in Computer Studies or others with permission of the department. May be repeated for credit for a maximum of six hours.
A general introduction to data analysis that covers a broad selection of methodologies for working with data. Topics will be chosen from sources of data, exploratory data analysis, data visualization, cleaning and preparing data, inference, and regression. Students will use statistical analysis technology. Particular topics related to analyzing data, such as ethics and communication of results, are highlighted. Prerequisites: MAT-175 or MAT-248.
Implementation of principles and techniques of data science, including advanced programming projects. Topics will be chosen from data visualization, data wrangling and cleaning, regression, classification, and clustering. Industry best practices, such as ethical decision-making and communication of results, will be discussed. Prerequisites: DS-200 and CS-190.
This course will provide opportunities for freshmen and sophomores to participate in original research in data science. Students will submit findings in a written report and/or will give a presentation. Students will be expected to work approximately three hours per week on the research project for each semester hour of credit. May be repeated for a maximum of six credit hours.
With a faculty mentor, the student will formulate and execute an original research project in data science that will culminate in a paper and a presentation. The research project must meet Honors Program thesis requirements as well as the expectations of the faculty mentor. Enrollment limited to seniors or second semester juniors in the Honors and/or Teaching Fellows Programs who are minoring in Data Science.
With a faculty mentor, the student will formulate and execute an original data science research project that will culminate in a paper and/or a presentation. Open to juniors and seniors minoring in Data Science or others with permission of the department. May be repeated for credit for a maximum of six hours.
Students in Meredith’s computer science program work in a uniquely collaborative environment, have access to a variety of resources, and gain hands-on experience in the field through a required internship.