E-Portfolio

Computer Science Systems (CIS) is a major of Business, Mathematics and Science Division that focuses on practical applications of technology to support organizations or create technological products. The major encompasses a wide range of topics such as communications, business, networking, system design, and mathematics.

At Columbia College, a student with CIS major was required to take the following Computer Science classes:

• CIS 109 - Computer Science for the Liberal Arts: This course introduces students to the computer science discipline through exploration of a variety of topics. Applications and connections to contemporary society are emphasized. This course satisfies the mathematics general education requirement.
• CIS 111 - An Introduction to Programming using Visual Basic: An introduction to procedural programming techniques including variables, control structures, functions and procedures in an object-oriented event-driven environment.
• CIS 211 - Programming I: An introduction to programming and problem-solving using a high level programming language. Topics include data types, variables, assignment, control structures, arrays, and an introduction to object-oriented programming.
• CIS 212 - Programming II: A further study of programming and problem-solving using object-oriented programming techniques. Topics include: abstraction, inheritance, polymorphism, error-handling, and data structures.
• CIS 221 - Fundamentals of Hardware and Software: An introduction to computer architecture and operating systems. Topics include computer system components, peripheral devices, operating software, i/o devices and extensions, and an introduction to networked computer systems.
• CIS 230 - Introduction to Web Development: An introduction to Web development from design to implementation using Web tools and technologies such as HTML and other authoring and scripting languages.
• CIS 250 - Networks: This course provides an in-depth knowledge of data communications and networking requirements including networking and telecommunications technologies, hardware, and software.
• CIS 313 - Software Development: This course focuses on tools and techniques necessary in modern software development. Topics include: data structures and algorithms, software life cycle including requirements, specifications and design, selected modern programming techniques.
• CIS 314 - Algorithms and Data Structure: This course surveys the basic data structures and the associated algorithms. Topics include algorithm design, data representation, algorithm complexity, and proof of correctness.
• CIS 340 - Systems Analysis and Design: A study of the processes, methodology and issues related to the analysis and design of information systems. Topics include: requirement analysis, system development life cycle, structured design, feasibility studies, installation and implementation.
• CIS 350 - Database Management Systems: A study of database management concepts and techniques. Topics include: data modeling using entity-relationship, relational, hierarchical and network models, use of SQL (structured query language) and other database software to develop databases.
• CIS 430 - Advanced Web Development: This course introduces advanced web tools for designing, developing, implementing and maintaining web sites. Topics include interactivity, multimedia elements including animation, and linking to a database.
• CIS 498 - Senior Project: The senior project may be an in-depth study of a topic in computer and information science or may consist of a significant application in the field. The Division’s approval of each student’s proposed project must be secured during the semester before the student enrolls for credit in this course.

Along with these required electives:

• BUS 261 - Principles of Accounting I: An elementary course in the principles and application of financial accounting.
• ECON 201 - Principles of Economics I, Macroeconomics: A study of the theory of income, employment and price determination, along with a brief examination of international economics. Emphasis is placed on the national economy and policies that affect it.
• MATH 140 - Elementary Statistics: This is an introductory course in the fundamentals of modern statistical methods. Topics include descriptive statistics, probability, random sampling, hypothesis testing, estimation, linear regression, and correlation.
• MATH 150 - Discrete Mathematics: An introduction to discrete structures, algorithms and proof with an emphasis on problem-solving. Topics include logic, sets, functions and relations, elementary number theory, counting, and elementary graph theory.
• MATH 165 - Calculus II: The second in a series of courses on the theory and applications of the calculus. Topics include the derivative of trigonometric and inverse trigonometric functions, techniques of integration, applications of the integral, differential equations, parametric equations, and polar coordinates. Concepts and applications are explored numerically, graphically, and analytically.