| Computer
Science
Courses
Courses with * fulfill General
Education requirements
(A-AP) = Arts - Applied
(A-TH) = Arts - Theoretical/Historical
(A-AR) = Analytical - Abstract
Reasoning
(A-QR) = Analytical - Quantitative
Reasoning
(CP) = Comparative Practices
(D-D) = Diversity - Domestic
(D-I) = Diversity - International
(D-L) = Diversity - Language
(ES) = Earlham Seminar
(IP) = Interpretive Practices
(SI) = Scientific Inquiry
(W) = Wellness
(AY) = Offered in
Alternative Year |
|
*CS 128 PROGRAMMING AND PROBLEM SOLVING
(3 credits)
An introduction to computers, computer science and programming with an emphasis on problem analysis and algorithmic solutions. (A-AR, A-QR)
*CS 150 EARLHAM SEMINAR (4 credits)
Offered for first-year students.
Topics vary. (ES)
CS 256 ADVANCED PROGRAMMING (4
credits)
A systematic introduction to the methodology of problem solving with computers. Emphasizes the design and development process, data abstraction and fundamental data structures, programming for reuse and the development of large programs. Introduces the basic notions of software engineering and analysis of algorithms. Discusses ethical issues in computing. Prerequisite: CS 128. Co-Requisite: MATH 195.
CS 281 APPLIED GROUPS (0-1
credits)
Limited to members of the CS Applied Groups. Working under the direction of a faculty or staff member, groups of CS students provide infrastructure support for the CS Department and the College. Current groups include: CS System and Network Administrators, Hardware Interfacing Project, CS Content Administration Group, Pedagogical Tools Group, Database Integration Group (WebDB) and Green Science Group. No more than three credits total in an academic career. Prerequisite: Consent of the instructor.
CS 290 COMPUTATIONAL SCIENCE (3 credits)
Designed for students majoring in any of the natural sciences. An introduction to the tools and techniques of interdisciplinary computationally based research in the natural sciences. Computational research uses computers to simulate laboratory experiments or to perform experiments for which there is no laboratory analog. Lab exercises come from a variety of disciplines. Recommended prerequisites: CS 128 and any lab science.
CS 310 ALGORITHMS AND DATA STRUCTURES (4
credits)
A study of algorithms and the data structures on which they are based, with a focus on the analysis of their correctness and complexity in terms of running time and space. Prerequisite: CS 256. Co-Requisite: MATH 190.
CS 320 PRINCIPLES OF COMPUTER ORGANIZATION (3 credits)
An introduction to the structure and function of computing machines. The concept that computing machines consist of layers of virtual machines is an organizing principle. Topics include information representation, automata, assembly language programming, register machines, microprogramming, conventional machines and language processors. Prerequisite: CS 310.
CS 330 SCIENTIFIC COMPUTING (3 credits)
Introduces computer science tools and techniques that support computational science and high performance computing. Computational methods are an integral part of modern science, including multidisciplinary research into climate change, the origins of the universe and the underlying cause of diseases such as Alzheimer's. Topics include scientific libraries and kernels, parallel distributed and grid resources, and the principle software patterns found in this domain. Prerequisites: CS 256 or consent of the instructor. (AY)
CS 345 SOFTWARE ENGINEERING (3 credits)
The theory, techniques and technologies associated with the design, construction, and testing of software systems, particularly large software systems. Students learn various approaches to functional decomposition and system architecture. Explores the tools used for building and testing software systems, particularly in the context of open source software. Prerequisite: CS 310. (AY)
CS 350 ELECTRONICS AND INSTRUMENTATION (3 credits)
A laboratory-oriented course dealing with analog and digital circuits. Circuit theory is developed for diodes, transistors, operational amplifiers and simple digital circuits. During the course, these components are used to construct a range of devices, including power supplies, oscillators and amplifiers. Lab. Prerequisite: PHYS 220 or 225. Also listed as PHYS 350. (AY)
CS 360 PARALLEL AND DISTRIBUTED COMPUTATION (3 credits)
The application of parallel programming and problem-solving techniques to solve computationally intensive problems in a variety of disciplines. Parallel computation invites new ways of thinking about problems and is an increasingly important skill in corporate and research environments. Students learn about programming paradigms used in parallel computation, the organization of parallel systems, and the application of programs and systems to solving problems in mathematics, physics, chemistry and other areas. Prerequisite: CS 310. (AY)
CS 370 COMPUTER GRAPHICS (3 credits)
An introduction to computer graphics with an emphasis on Open-GL and the mathematical foundations of modeling and rendering. Experientially oriented with frequent small projects. Requires good coding skills in C++ or, with considerably more work, C. Mathematical aspects based in Linear Algebra. Prerequisite: CS 256 or consent of the instructor.
CS 380 THEORY OF COMPUTATION (3 credits)
A study of computability and non-computability from a perspective that views the problems to be solved as formal languages. Study of automata-theoretic (finite state automata, pushdown automata and Turing machines) and generative (regular languages, regular, context-free and unrestricted phrase structure grammars) mechanisms along with the properties of the classes of languages they can define. Prerequisite: CS 310.
CS 410 NETWORKS AND NETWORKING (3 credits)
A study of the hardware and software technology and standards which support local area networks, wide area networks and the Internet. Emphasizes the TCP/IP protocol suits and the associated tools that provide universal connectivity to a wide variety of systems around the world. Explores the network hierarchy, from the physical level (transmission media) up through client/server applications such has HTTP servers and the domain name system. Prerequisite: CS 320. (AY)
CS 420 OPERATING SYSTEMS (3 credits)
A study of the software that manages the hardware and provides the interface between application programs and system resources. Topics include scheduling, memory management, persistent storage, resource contention, locking and multi-processor synchronization. Using open source software, students explore a production quality operating system and learn by modifying it. Prerequisite: CS 320. (AY)
CS 430 DATABASE SYSTEMS (3 credits)
An introduction to database management systems. Database design and development are viewed from the perspective of a user, an application program and from the database kernel itself. Focuses primarily on relational and object-oriented data models and related software. Prerequisite: CS 256. Co-Requisite: CS 310. (AY)
CS 440 PROGRAMMING LANGUAGES (3 credits)
The nature of programming languages and the programs that implement them. Focuses on the abstract structures programming languages provide for expressing algorithms and the methods by which they are realized on concrete hardware. Prerequisite: CS 256. Co-Requisite: CS 310. (AY)
CS 481 INTERNSHIPS, FIELD STUDIES AND OTHER FIELD EXPERIENCES
CS 482 SPECIAL TOPICS (3 credits)
Selected topics determined by
the instructor for upper-level study.
CS 483 TEACHING ASSISTANTS (1-3 credits)
CS 484 FORD/KNIGHT RESEARCH PROJECT (1-4 credits)
Collaborative
research with faculty funded by the Ford/Knight Program.
CS 485 INDEPENDENT STUDY (1-3 credits)
Investigation of a specific topic conceived and planned by the student in consultation with a faculty supervisor. Culminates in a comprehensive report prepared in the style of a thesis or research paper.
CS 486 STUDENT RESEARCH
CS 488 SENIOR CAPSTONE EXPERIENCE (3 credits)
Each participant completes a semester-long capstone project in a research group setting. Weekly meetings with the instructor individually and with the group as a whole. In addition, explores topics from the cultural, ethical, historical or broader scientific context of computer science in readings and discussion. Culminates in a public seminar and student presentations. Prerequisite: Consent of the instructor. |
