|
|
|
|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
3.00 Credits
This accelerated course accomplishes the combined goals of Computer Science 121 and Computer Science 251 for students with sufficient prior C++ or Java programming skills. The course includes a weekly laboratory meeting and a team project experience. Prerequisites: A high school CS advanced placement course, or comparable experience in C++ or Java programming and permission of instructor.
-
3.00 Credits
Students learn mathematical topics that form an essential background for the study of computer science, including functions, relations, basic logic, predicate calculus and formal reasoning, verification of programs, proof techniques, basics of counting, graphs and trees, discrete probability, and introduction to computability. Prerequisites: Computer Science 121 or 125 or permission of instructor. Students with especially weak or especially strong mathematics backgrounds should consult with the program director.
-
3.00 Credits
This course offers students a structured descriptive survey of the organizational principles of computer hardware, emphasizing trade-offs among architectural choices and representative examples. Topics include virtual machines, overview of computer organization, forms of parallelism, machine- level representation of data, memory organization, digital logic, functional organization, microprogrammed and RISC architectures, performance enhancements and alternative architectures, assembly-level machine organization and programming, and architecture of networks and their protocols. Prerequisite: Computer Science 121 or consent of the instructor.
-
3.00 Credits
This course provides an introduction to the structure and creation of computer software, using C++ programming language and emphasizing object-oriented programming and software life-cycle methodology. Concepts and skills are applied in a team project based on the waterfall model of software development. Topics include object-oriented programming, specification, high-level memory management, indirect addressing, formal methods, tools including UML, team software process, requirements analysis, software design strategies, and elementary ethical analysis of software systems. Prerequisite: Computer Science 121 or permission of instructor. Concurrent registration in Computer Science 252 is required.
-
3.00 Credits
Students investigate the implementation of software using strategies and concepts presented in Computer Science 251, explore standard technologies for creation and management of multi- module software systems, and carry out stages of a life cycle-based team software project, through hands-on computational exercises and with direct support provided in a small group context. Prerequisite: concurrent registration in Computer Science 251.
-
3.00 Credits
This course surveys standard data structures and algorithms with emphasis on implementation experience and complexity analysis. Topics include algorithmic strategies, fundamental computer algorithms, stacks, queues, lists, trees, hash tables, specialized trees (e.g., binary, AVL, B-trees), heaps and priority queues, compression, and decompression. Prerequisites: Completion of BTS-T; Computer Science 231 and either Computer Science 125 or 251, or consent of the instructor.
-
3.00 Credits
The software we design has real effects in people's lives. This course explores the ethical and social considerations inherent in computer-based systems, develops skills in thinking about those considerations and in collecting data to determine their effects, and expands students' abilities to integrate these issues and skills into software development procedures, largely through an extensive team analysis of a "live" software project. Coursework uses extended case studies and surveys topics such as professional and ethical responsibilities, risk, liability, intellectual property, privacy, and computer crime. Prerequisites: Computer Science 225 or 251, or permission of instructor and completion of BTS-T.
-
3.00 Credits
This course takes a case-study approach to the fitting and assessment of statistical models with application to real data. Specific topics include two-sample comparisons, simple linear regression, multiple regression, model diagnostics, logistic regression for focus on problem-solving tools, interpretation, mathematical models underlying analysis methods, and written statistical reports. Prerequisite: Statistics 110 or 212 or 263, or permission of instructor. Offered Fall and Spring Semesters.
-
3.00 Credits
This course examines the features of modern operating systems, including detailed consideration of Linux and other example systems. Projects range from system-level programming to kernel modifications. Topics include operating system principles, implementation as system calls, process scheduling and dispatch, inter-process communication, low-level memory management, device management, file systems, security and protection mechanisms, and scripting. Prerequisites: Computer Science 241 and either Computer Science 225 or 251, or permission of instructor.
-
3.00 Credits
In this implementation-oriented examination of features commonly found in computer programming languages, students construct their own interpreters for an example programming language incorporating the various language features they study throughout the course. Topics include programming language semantics, programming language translation, implementation of control structures and memory structures, abstraction mechanisms, and language translation systems and types. Prerequisites: Computer Science 241 and either Computer Science 225 or 251, or permission of instructor.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2025 AcademyOne, Inc.
|
|
|