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Courses | B.S. in Computer Science

Below are some of the courses you’ll have an opportunity to take as a student in this program. Take a look at the list below to get an idea of the types of available courses. Also, be sure to review core curriculum requirements and the official program requirements in the Biola University catalog.

Note: This list is intended to give you a quick glimpse into the program’s academic offerings, and should not be used as a guide for course selection or academic advising.

Major Courses

CSCI 105	Introduction to Computer Science
Introduction to computer hardware and software. Problem solving methods. Elementary concepts of algorithm development. C++ programming. Lecture/Lab Hours: Three hours lecture, one hour lab. Grade Mode: A.
CSCI 106	Data Structures
Linear lists, strings, arrays and orthogonal lists; graphs, trees, binary trees, multi-linked structures, searching and sorting techniques, dynamic storage allocation; applications. Grade Mode: A.
CSCI 220	Computer Organization and Assembly Language Programming
Fundamentals of digital logic and the architecture of modern computer systems, machine level representation of data, memory system organization, structure of machine languages, assembly language programming. Grade Mode: A.
CSCI 230	Programming Languages
Organization and structure of programming languages. Runtime behavior and requirements of programs. Introduction to programming language specifications and analysis. Study of various alternative languages such as Java, C++ and Python. Grade Mode: A.
CSCI 311	Operating Systems
Computer operating systems; topics include time sharing, process communication, memory management, storage allocation, interrelationships between the operating system and the architecture of computer systems. When Offered: Fall. Grade Mode: A.
CSCI 335	User Interface Design and Programming
User interface design, implementation, and evaluation; event-driven programming in GUI applications and web applications; user-centered design methodologies. When Offered: Alternate years. Grade Mode: A.
CSCI 430	Computer Communications
Concepts of computer communications, local area networks, seven layers of communication protocols, global networks. When Offered: Spring. Grade Mode: A.
CSCI 450	Software Engineering
Concepts, principles, techniques, and documents of software engineering. Emphasis on systematic approaches to software engineering and the software life cycle. Team project required. Grade Mode: A.

Concentrations

Standard Computer Science

CSCI 400	Theory of Algorithms
Various types of algorithms, analytic techniques for the determination of algorithmic efficiency, NP-complete problems, complexity hierarchies, and intractable problems. When Offered: Alternate years. Grade Mode: A.
CSCI 440	Topics in Computer Science
Topics are selected from the following: Compilers and Languages: Development of key compiler components based on the theory of automata and formal languages. Systems Programming: Development of utilities and shell scripts for Unix system administration. Theory of Computation: Computational models for algorithmic design, complexity analysis, and problem solving in selected domains. Computer Graphics: Design and implementation of 3D computer interactive graphics. Artificial Intelligence: Computational frameworks for knowledge representation, automatic reasoning, probabilistic modeling, and machine learning. Information Security: Concepts and techniques about cybersecurity and its implementation. Notes: Course may be taken multiple times for credit with different content. Grade Mode: A.
MATH 105	Calculus I
Limits, differentiation and integration of rational and trigonometric functions, with applications. Notes: Approved for Core Curriculum Math credit. Grade Mode: A.
MATH 106	Calculus II
Differentiation and integration of logarithmic, exponential and inverse trigonometric functions; various methods of integration; infinite sequences and series; parametric equations, polar coordinates. Grade Mode: A.
MATH 112	Discrete Structures
Elementary properties of sets, discrete probability and combinatorial analysis, graphs, relations, orderings, functions, simple algebraic structures, binary arithmetic and other bases, methods of proof. Grade Mode: A.
MATH 291	Linear Algebra
Topics from matrices, determinants, linear transformations and vector spaces. Grade Mode: A.
MATH 321	Numerical Analysis
Functions of one variable, approximate numerical solutions of non-linear equations and systems of linear equations, interpolation theory, numerical differentiation and integration, numerical solutions of ordinary differential equations. When Offered: Alternate years. Grade Mode: A.
MATH 333	Operations Research
Mathematical foundations of model building, optimization, linear programming models, game theoretic models. Grade Mode: A.

Information Systems

BUSN 202	Principles of Microeconomics
An introduction to microeconomic analysis. Topics covered include consumer theory, the conduct of firms under competitive or monopolistic conditions, the causes and consequences of various market outcomes, and the role of government in regulating economic behavior. Grade Mode: A.
BUSN 211	Principles of Accounting I
Financial accounting concepts and techniques essential for all business majors and those seeking to learn the language of business; analyzing and recording transactions; preparation of financial statements; valuation and allocation procedures. Grade Mode: A.
BUSN 212	Principles of Accounting II
Financial accounting for corporations; analysis of financial statements; international accounting issues; introduction to managerial accounting; product costing and cost allocation procedures; budgetary control and responsibility accounting; analysis and techniques for planning and managerial decision making. Grade Mode: A.
BUSN 370	Business Finance
An examination and evaluation of financial decision making in the Corporate environment valuing future cash flows, characterizing risk and return and evaluating options available to firms to finance their operations or fund growth opportunities. Students will learn how to analyze financial data to provide information to management on how to improve the financial performance of their firm. Grade Mode: A.
CSCI 402	Database Management
Integrated database systems, logical organization, data description language (DDL), data manipulation language (DML), of hierarchical networks and relational databases, overview of selected database management systems (DBMS). When Offered: Alternate years. Grade Mode: A.
CSCI 440	Topics in Computer Science
Topics are selected from the following: Compilers and Languages: Development of key compiler components based on the theory of automata and formal languages. Systems Programming: Development of utilities and shell scripts for Unix system administration. Theory of Computation: Computational models for algorithmic design, complexity analysis, and problem solving in selected domains. Computer Graphics: Design and implementation of 3D computer interactive graphics. Artificial Intelligence: Computational frameworks for knowledge representation, automatic reasoning, probabilistic modeling, and machine learning. Information Security: Concepts and techniques about cybersecurity and its implementation. Notes: Course may be taken multiple times for credit with different content. Grade Mode: A.
MATH 103	Calculus for Management Sciences
Fundamental principles of differential and integral calculus. Applications chosen mainly from the management sciences. Notes: Approved for Core Curriculum Math credit. Students must pass prerequisite online Pre-Business Calculus Course (free/no credit) prior to taking the course. Grade Mode: A, N.
MATH 112	Discrete Structures
Elementary properties of sets, discrete probability and combinatorial analysis, graphs, relations, orderings, functions, simple algebraic structures, binary arithmetic and other bases, methods of proof. Grade Mode: A.
MATH 210	Introduction to Probability and Statistics
Nature of statistical methods, description of sample data, fundamental concepts of probability, probability distributions, sampling, estimation, correlation and regression, application of same. Notes: Approved for Core Curriculum Math credit. Grade Mode: A.

Courses | B.S. in Computer Science

Major Courses

Concentrations

Standard Computer Science

Information Systems

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