College of Liberal Arts and Sciences
Computer Science & Software Engineering

Software Engineering Major

Major Requirements

These requirements are effective beginning in the Fall 2010 semester. Continuing students may choose to satisfy these requirements or those of any previous year they were a student at Butler. Note that you are not allowed to double-major in computer science and software engineering.

All of the Following Courses

  • MA 106 - Calculus & Analytic Geometry 1

    The beginning calculus course for properly prepared students. Topics include differentiation, integration, elementary differential equations, and exponential, logarithmic, and trigonometric functions. Applications are emphasized. The Analytic Reasoning core course is waived for students who successfully complete this course. Prerequisite: Placement, or C- in MA 102. (U)(5)

  • MA 107 - Calculus & Analytic Geometry 2

    Continuation of MA 106. Topics include methods of integration, improper integrals, infinite series, conic sections and polar coordinates. Prerequisite: MA 106. (U)(4)

  • MA 162 - Statistical Methods

    An introduction to inferential statistics with applications in the natural, social, and managerial sciences. Topics include elementary probability, data analysis, descriptive statistics, confidence intervals, hypothesis testing, linear regression, and contingency tables. The Analytic Reasoning core requirement is waived for students who successfully complete MA 162. Prerequisite: MA101 or equivalent. (U)(4)

  • CS 151 - Foundations of Computer Science

    Introduction to mathematical problem solving, with emphasis on techniques for designing computer-based solutions. Concepts include problem-solving principles, logic, proof techniques, sets, sequences, functions, relations, and inductive and recursive thinking. Prerequisites: MA 101 or 102 or equivalent. (U)(3)

  • CS 252 - Foundations of Computing 2

    As a continuation of CS151, concepts include mathematical logic, formal grammars, algebraic structures, finite state machines and automata, graph theory, and combinatorics. Prerequisite: CS151 (U) (3)

  • CS 248 - Object-Oriented Programming and Data Structures

    This course is an introduction to object-oriented programming using Java. Topics include algorithm analysis, recursion, the stack, queue, tree, and heap data structures, sorting algorithms, and GUI programming. A brief survey of computer science is also included: history, software engineering, computer organization, operating systems, networks, programming languages, databases, artificial intelligence, and theory. Prerequisites: CS 142 or equivalent and CS 151. (U)(5)

  • CS 282


  • CS 283

  • CS 321 - Computer Organization

    Principles of computer architecture are introduced from a layered point of view, beginning at the level of gates and digital logic, and progressing through micro-programming, the machine language execution cycle, addressing modes, symbolic assembly language, and the fundamentals of operating systems. Advanced topics including pipelined and parallel architectures are also covered. Corequisite: CS 248. (U) (3)

  • CS 351 - Algorithms

    A systematic study of data structures and algorithms with an introduction to theoretical computer science. Topics include lists, stacks, queues, trees, and graph structure, searching and sorting algorithms, mathematical algorithms, time and space complexity, an introduction to the theory of NP-completeness, and an introduction to computability theory. Prerequisite: 248. (U)(3)

  • CS 433 - Database Systems

    An introduction to the theory, design and use of modern database management systems. Topics include the relational, entity-relationship, and object-oriented data models, query languages such as SQL, file systems, concurrency and deadlock, reliability, security, and query optimization. Prerequisites: CS 248, CS 252, and CS 321. (U-G) (3)

  • CS 452 - Parallel Algorithm Design & Programming

    A study of theoretical and practical paradigms of parallel algorithm design. Topics include model costs, lower bounds, architecture and topology, data-parallelism, synchronization, transactional memory, message passing, and parallel design for sorting, graphs, string processing, and dynamic programming. (U)(3)

  • CS 485 - Computer Ethics

    Ethical and social issues in computing with emphasis on professional responsibilities, risks and liabilities, and intellectual property. Prerequisite: CS 142 and sophomore standing. (U-G)(1)

  • SE 361 - Object-Oriented Design

    This course uses the Unified Modeling Language (UML) as a vehicle to introduce the basic principles of object-oriented methodology and design, covering classes, objects, data abstraction, polymorphism, information hiding and relationships among classes such as inheritance, association, aggregation and composition. Specific design techniques are covered for object-oriented programming languages such as Java and C++. The course also provides a first exposure to the software development lifecycle of object-oriented software applications. A small team design project is required. Prerequisite: CS 248. (U)(3)

  • SE 461 - Managing Software Development

  • SE 462 - Modernizing Legacy Software

  • SE 463 - Testing & Quality Assurance

  • SE 473

  • SE 411 - Internship

One of the Following Courses

3 additional credit hours of CS or SE electives numbered 300 or above

Total credits: 47 computer science and 13 mathematics.

We often accept MA205, 206 in place of CS151, 252 for satisfying the major or minor requirements upon petition to the department head.