300

Continue to build a computer science foundation. Study of intermediate programming language constructs: event handling, graphical user interfaces, threads, and networking. Introduction to the software engineering process and programming-in-the-large.

Continues the study of computer science and software engineering methodologies with the C programming language. Analysis of common data structures, time and space efficiency, stacks, queues, linked lists, trees, graphs, hash tables, recursion, searching, and sorting algorithms.

Design, analysis and correctness proofs of important algorithms from areas such as combinatorics, seminumerical algorithms, data storage and retrieval, systems programming, and artificial intelligence. Includes a study of complexity theory.

Introduction to combinational and sequential logic. Introduction to computer system hardware including Arithmetic Logic Unit (ALU), main memory, cache memory, I/O devices, busses and interfaces, control unit, addressing techniques, and the MIPS assembly language.

Functions, structure, design, and problems of operating systems. Concepts and principles of operating system design and implementation including file system, CPU scheduling, memory management (including virtual memory), deadlocks in computer systems, concurrent processes and programming, threads, and protection. Fee: $100

Software lifecycle models. Requirements engineering. Planning and managing software projects. Software design methods. System integration, software quality assurance, testing, and validation. Software maintenance.

Comparative analysis of several modern high level languages in terms of data types and control structures, with emphasis on run-time behavior of programs.

Introduction to finite automata, Turing machines, formal languages, and computability.

Lexical analysis, syntactic analysis, type checking, and code generation. Introduction to optimization.

Focus on applicable skills to a career in software engineering or a related field including software entrepreneurship, professional development, and employment.

In-depth study of professional responsibility in the field of computer science. Students are expected to read journal papers, articles, and books, participate in class discussions, and give presentations.

Laboratory to support CS 301.

This laboratory introduces Unix/Linux commands and tools for software development and testing. Includes scripting languages. 

The course focuses on developing and practicing techniques for rapid programming in a small team environment: approaches to problem assessment, selection of data structures and algorithms, implementation, and testing. Students will hone their skills by working in small teams to produce correct solutions to a wide variety of computing problems under time constraints. Course is graded Pass / No Pass.