Computer Science

Division II Chair: N. Gift

 

Department Chair: M. Nakazawa

 

Faculty: L. Gratton, D. Guggenheim, S. Heggen, E. Lovell, M. Nakazawa, J. Pearce

 

Website: http://www.berea.edu/csc/ 

 

Courses: CSC Courses

 

Major/Minor Requirements: 

Computer and Information Science B.A.; 
Computer and Information Science with a Computational Mathematics Concentration;
Computer and Information Science with a Concentration in Computer Science;

Computer and Information Science with a Concentration in Information Systems; 
Computer Science Minor

 

Computer and Information Science

Computer scientists at Berea College have fun challenging themselves with innovative, forward-looking work that creatively addresses societal needs. Students studying computer science at Berea explore abstract concepts and practical skills, applying both in service to the greater community. Students engage in internships, research, and opportunities outside the classroom that deepen their appreciation of the transformational capacity of computation, and the department invites graduates and leaders in the field to share their experiences, further emphasizing the importance of understanding computer science in the context of social good.

Computers and information systems continue to challenge our understanding of how technology can be used wisely. The Computer Science Department places an emphasis on critical technical skills such as web site design, database management, open hardware and software systems, and general computational proficiency that apply to an ever-widening variety of careers. Additionally, emphasis is placed on the essential skills of clear communication and critical thinking in hands-on, collaborative environments. Thus, computer scientists graduating from Berea College are prepared to lead in a technologically integrated world in arenas as diverse as business, non-profits, government, or education.

Students majoring in Computer and Information Science may select among four concentrations: a general concentration, a computer science concentration, a computational mathematics concentration and an information systems concentration, while students majoring in another discipline may select a computer science minor.

The major in Computer and Information Science is intended to be appropriate for students interested in acquiring skill with computer applications, computer programming, computer hardware, and software-related tools designed for use in the physical, social, or life sciences.

Computer scientists design and develop all types of software from systems infrastructure to application technologies. The optional major concentration in Computational Mathematics is recommended for students interested in computational science, computer vision, graphics or other highly mathematical areas of the discipline. The optional Computer Science concentration is recommended for students who are interested in pursuing graduate study in computer science, software engineering, mobile robotics, or other related fields, or for students interested in employment that requires deep understanding of computer operating systems and/or algorithms.

A Computer Science minor is recommended for students who wish to supplement a major in another discipline or to enhance their potential employment opportunities. The curriculum of the Computer Science minor seeks to augment the student’s major and General Education courses by developing technically adept graduates who are prepared for a range of modern careers that require computational skills.

Students who complete the major in Computer and Information Science are ineligible for the minor in Computer Science. Those students who wish to pursue more in-depth study focusing on Computer Science should consider the optional major concentration in Computer Science instead.

In addition to supporting students' achievement of the Aims of General Education, the Computer Science Department seeks to assist students in meeting the following learning goals and associated learning outcomes: 

Computer Science Student Learning Goals & Outcomes

Learning Goal 1: Formulating, Analyzing, Decomposing, and Solving Problems Computationally.

Learning Outcome 1.1: Identification of Computational Tasks

Identify computational tasks for which the methods of computer science are well-suited.

Learning Outcome 1.2: Problem Decomposition

Analyze and decompose novel problems into components appropriate to the design of an algorithmic solution.

Learning Outcome 1.3: Application of Designs

Apply software design and development process to novel situations.

Learning Goal 2: Understand Theory and Application.

Learning Outcome 2.1: Application of Algorithm and Computational Complexity

Apply theoretical and mathematical foundations of computer science, such as algorithm efficiency and computational complexity.

Learning Outcome 2.2: Relationship between Computer Architecture and Software

Demonstrate knowledge of the relationship between computer architectures and software systems or operating systems, the software that manages computer hardware resources and provides common services for computer programs.

Learning Goal 3: Communication and Collaboration Skills

Learning Outcome 3.1: General Audience

Communicate complex technical ideas simply to a non-technical audience.

Learning Outcome 3.2: Technical Writing Skills

Write technical documents that describe the specification, design, and implementation of computational projects.

Learning Outcome 3.3: Technical Proficiency

Demonstrate technical depth in explaining systems to an expert audience.

Computer Science Course Sequencing Table