Computer Programming (COP)

Introducing basic concept of computing: discrete models, computer architecture and organization, operating systems, programming languages, software design and construction, performance evaluation, with a focus on programming.

Advanced computer programming concepts and problem solving are explored using a procedural programming language and software tools. Topics include pointers, dynamic memory allocation, string handling, structures, file I/O, and recursion. Includes two hours of lecture and one hour of lab per week.

Introductory computer programming concepts and problem solving skills are learned using a modern programming language. Principles of good programming style are emphasized. This course is delivered in C++/Java unless noted otherwise.

Students will expand on their knowledge base and skills gained from introductory programming. Topics include, but are not limited to, modularity (classes and packages); object-oriented concepts (e.g., encapsulation, inheritance, and polymorphism); error handling and exceptions; generics/templates; dynamic constructs and memory management encompassing pointer arithmetic, parameter passing, and dereferencing; and reuse of API/frameworks/libraries/packages (e.g., GUI, networking, persistence storage, and web). Relevant programming environments and tools (e.g., build tools), especially in the context of software engineering are also experienced. This course is delivered in C++ unless noted otherwise.

This class will cover the fundamentals of Unix/Linux operating systems from administration and programming perspectives. Topics include distributions, command-line interface, file systems, process management, basic utilities, shell programming, and networking and security aspects.

Data structure design, implementation, application, and analysis are explored. Abstract data types (ADTs) are introduced and uses of interfaces is emphasized. Topics include stacks, queues, linked lists, and trees. Recursion is revisited, the O notation is introduced, and computational complexity of searching and sorting algorithms are explored.

Covers the study the structure of networks, networking devices, network protocol stacks, congestion and flow control analysis and algorithms, network routing algorithms and protocols, network traffic analysis, client/server and peer-to-peer network programming, security in networks, and distributed systems.

This course covers database design and applications of database management systems in software development. It includes relational database management systems (RDBMS) and SQL, and how databases are accessed in computer programs. It also covers different data formats, i.e. XML, JSON, etc. This course will also introduce to students the application of NoSQL systems. It will explore topics related to data analysis.

This course covers programming language theory and practice, including language design and implementation, theoretical foundations, language translators and interpreters, and exposure to a variety of programming paradigms.

Covers the key concepts, mechanisms, and structure that underlie operating systems. The fundamental components of operating systems including process management, thread management, memory management, scheduling, file and storage management, and I/O device management are explored. Contemporary design issues and current directions in development of operating systems are discussed. Examples of several prominent operating system implementations are introduced.

Reading, problem solving, project development, simulation, laboratory investigation, field work, or a combination of these activities is done under the supervision of a faculty member. Course may be repeated with different content. (Instructor consent required)

A contemporary subject in the field of computer science is explored.

This is the first course in a sequence of two courses that are based on team projects supervised by external mentors. In this course students will learn and demonstrate working in teams that includes a mentor from an external entity, efficient communication, software design methodology, performing project feasibility study, and creating proposals, presentations and other reports. In addition, the course will touch on aspects of intellectual property, professional ethics, and social impact.

This is the second course in a year-long sequence of a senior computer science project. Students are expected to continue their project from the first project course, i.e., Senior Computer Science Project I. students will learn and demonstrate project implement, debugging, documentation, and testing. Final report and presentation are among the deliverables.

The course is centered around advanced topics related to operating systems. Including the design and implementation of distributed operating systems, multiprocessor operating systems and database operating systems.

Introduction to compiling, elements of language theory, syntax-directed translation, lexical analysis, symbol tables, lr(k) parsing, intermediate code generation, code optimization, code generation, error detection and recovery. There are also a number of significant programming projects in this course.