Computer Science Courses

Course Descriptions

• Division 5 Core Courses
• CS 142 Intro to Comp. Sci. and Prog.
  An introduction to programming in a high-level language (assignment, data types, expressions, selection, loops, functions, arrays) including parallel programming for supercomputers. Topics such as AI, software engineering, and databases, are also discussed. Prerequisite: MA101, or equivalent. (U)(3)
• CS 151 Foundation 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)

• Writing Intensive Courses
• 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
• 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)

• Departmental Honor Courses
CS 490
CS 282
CS 382
CS 482

• EPICS Courses
CS 282
CS 382
CS 482

• 100-Level Courses
CS 101
• CS 142 Intro to Comp. Sci. and Prog.
  An introduction to programming in a high-level language (assignment, data types, expressions, selection, loops, functions, arrays) including parallel programming for supercomputers. Topics such as AI, software engineering, and databases, are also discussed. Prerequisite: MA101, or equivalent. (U)(3)
• CS 151 Foundation 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)

• 200-Level Courses
CS 245
• CS 248 Object-Oriented Programming an
  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 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 273
CS 282

• 300-Level Courses
• CS 300 Teaching Practicum
  Students assist a faculty member teaching a 100 or 200 level CS course by helping students with assignments and laboratory exercises, conducting help sessions, preparing course materials and setting up laboratory exercises. The student receives regularly scheduled supervision from the faculty instructor. May be repeated once for credit. (U)(3)
• CS 308 Problem Seminar
  A survey of basic problem-solving strategies such as recursion, divide and conquer, and backtracking and applying these strategies to sample problems in mathematics, text processing, graphics and games. Consolidates material from CS 242 and CS 243. Prerequisite: CS 248 or permission of the instructor. (U) (1)
• 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)
• 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)
CS 382

• 400-Level Courses
• CS 403 Independent Study
  Provides an opportunity for qualified students to pursue special topics under the guidance of a department staff member. Prerequisite: permission of the department. (U-G)(3)
• CS 411 Internship
  Supervised work experience directly related to major area of study. Prerequisites: junior or senior standing and permission of department. (U)(3)
• SE 411 Internship
  Supervised work experience in software engineering. Prerequisites: SE361, SE461, CS485, and one of SE462 orCS382 or CS383. (U)
CS 431
• 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 435 Computer Networks
  An introduction to computer networks from a layered point of view beginning with the physical and data link layers, and progressing through the medium access layer, the network layer, the transport layer, and the applications layer. Specific content includes Ethernet, TCP/IP, and the Web. Students will write client/server programs that communicate across a network. Prerequisite: CS 321. (U-G) (3)
• CS 441 Organization of Prog Lang
  Emphasizes the principles and programming paradigms that govern the design and implementation of contemporary programming languages. Includes the study of language syntax, processors, representations, and paradigms. Prerequisites: CS 252, CS 321, and SE 361. (U-G) (3)
CS 451
CS 455
SE 461
• SE 462 Modernizing Legacy Software
  Fundamental concepts, principles, techniques and tools for the maintenance and evolution of legacy software systems. Software maintenance and evolution process models, reengineering, reverse engineering, and program comprehension tools. A modernization project is required. Prerequisite: SE361. (U-G)(3)
• CS 473 Topics in Computer Science
  In-depth study of special topics not covered in regular courses. Prerequisite: permission of department. (U-G) (3)
SE 473
CS 482
• 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)
CS 490
CS 491
• CS 499 Honors Thesis
  (U)(3)

• Software Engineering Courses
• 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
• SE 462 Modernizing Legacy Software
  Fundamental concepts, principles, techniques and tools for the maintenance and evolution of legacy software systems. Software maintenance and evolution process models, reengineering, reverse engineering, and program comprehension tools. A modernization project is required. Prerequisite: SE361. (U-G)(3)
SE 473
• SE 411 Internship
  Supervised work experience in software engineering. Prerequisites: SE361, SE461, CS485, and one of SE462 orCS382 or CS383. (U)