34 courses with the subject CMSC, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
This course familiarizes students with the use of PC productivity software (word processing, spread sheet management, file management, and presentation software) and its effects on society.
This course will provide the student with basic literacy of computers, present problem solving heuristics and structured programming techniques, present language independent data types, compose operations and programming constructs, introduce arrays and linked lists, and implement fundamental programs using an appropriate programming language.
This course builds on CMSC 1200 . It gives the student a thorough understanding of the presently adopted language so that the student will develop the ability to program in the language. Emphasis is placed on efficient software development using structured programming techniques. Students are required to write, test and run programs.
This course introduces the concepts of Artificial Intelligence and Machine Learning in a way that is accessible to students from all walks of life. The focus of the course is on being able to recognize and interact with the various AI and Machine Learners that we interact with in our everyday lives.
This course develops computational problem solving and programming skills using Python for students in non-computing majors. Students will learn programming constructs and how to develop different solutions that involve analyzing, processing and visualizing data. The course includes hands-on programming activities.
This course is a broad overview to the field of cybersecurity and serves as a foundation for understanding key concepts related to protecting information assets. Topics include common cyberattacks, cryptography, security protocols, attack mitigation mechanisms, and cyber wellness. Forms the basis for more advanced studies in cybersecurity.
Object Oriented Programming- This course teaches object-oriented programming. Object-orientated programming offers a natural method for designing software systems that build on the concepts of data abstraction, information hiding and modularity. Students will design and implement solutions to problems using an object-oriented programming language.
This course provides the student with an in-depth study of the basis of digital computers. Number systems, arithmetic operations, codes, Boolean algebra, Boolean minimization techniques, state transition tables and state transition graphs are discussed. Extensive emphasis is placed on the analysis and synthesis of synchronous and asynchronous combinational networks which form digital computers.
Students learn to collect and organize the technical elements necessary to create professional quality, structured systems documentation. Students learn to develop systems design and development specifications and various types of logs, and reports that are useful for information systems design and development.
The design, use and programming of data structures, such as stacks, queues, linked lists and binary trees, will be discussed. Sorting and searching methods are also discussed in this course. The analysis of algorithms will be considered as well as the applications of the various data structures.
In this course students will study assembly language. In doing so, students will develop some concepts related to the architecture and operations of the computer. Programs will be written and implemented using the instructions in this assembly language. Constructs such as selection, looping and subprograms will be implemented.
This course covers algorithm analysis theory and techniques. Students learn properties of both efficient and inefficient algorithms. The importance of analyzing algorithms before implementing them will be emphasized. This course will teach the skills necessary to determine the best algorithm for a given problem. We will investigate greedy, graph theoretic, divide and conquer, and distributed algorithms. We will cover both polynomial time algorithms and NP-completeness.
This course provides an overview of the basic principles and technologies of data communications and networking systems. Topics include transmission techniques, mutiplexing, flow and error control, routing and congestion control. The course will introduce switched, broadcast and wireless networking technologies. TCP/IP and the OSI protocol architectures will be investigated.
This course provides the student with an in-depth study of the organization of the central processing unit, arithmetic logic unit, control unit, instruction formats, and addressing schemes of digital computers. Extensive emphasis is placed on the translation of assembly language instructions into their micro-sequence operations within the control unit and the interconnection and control of registers, arithmetic logic units, memory units, and busses which form the central processing unit and the digital computer.
This course enables the student to acquire a thorough understanding of the Java language and its application in solving engineering and real world problems. Both Java programs and Applets will be studied. Emphasis is placed on efficient software development using structured programming techniques. Students are required to design, write, test, and run programs using an appropriate version of Java.
The FORTRAN language will be studied. Most of the major programming constructs of FORTRAN will be covered, including assignment statements, loops, decisions, subprograms, arrays, character manipulation and file processing. Comparisons with other languages will be made, and documentation of programs will be emphasized.
This course enables the student to acquire a thorough understanding of the Python language and its application in solving real world problems. Emphasis is placed on efficient software development using structured programming techniques, Object Oriented Programming, GUI interfaces, as well as a variety of Python modules and packages. Students are required to design, write, test, and run programs using an appropriate version of Python.
This course introduces various machine learning concepts and algorithms. Students will learn about the basics of machine learning as well as how machine learning is used during interactions in their everyday lives. Students will learn how to program various machine learners using an appropriate programming language (for example, Python), starting from raw data and ending with the evaluation/comparison of the results.
This course introduces concepts and techniques for the programming of two-dimensional games. Students will learn about the basics of making two-dimensional games, as well as how to work with a two-dimensional game engine environment (for example, GameMaker Studio). Additionally, students will construct at least one two-dimensional game during this course. This course focuses on the programming behind creating games in a commonly used language for that purpose (for example, GML or C++), and as such will also reinforce may important programming concepts from other courses. Offered fall, alternate years.
This course introduces concepts and techniques important for the programming of three-dimensional games. Students will learn about the basics of making three-dimensional games, as well as how to work with a three-dimensional game engine environment (for example, Unity). Additionally, students will construct at least one three-dimensional game during the course. This course focuses on the programming behind creating games in a commonly used language for that purpose (for example, GML or C++), and as such will also reinforce many important programming concepts from other courses.
This course introduces Natural Language Processing (NLP), where computers learn to understand and generate human language. Students will explore tasks like translation, speech recognition, sentence parsing, and formation. Using statistical methods, programming, and machine learning, they’ll gain hands-on experience developing NLP applications.
This course introduces students to mobile application design and development while utilizing Software Development Kits (SDKs) to develop mobile applications. Students will learn user interface design in combination with event driven programming. An overview of required programming languages and SDK tools will be covered along with object-oriented development, source code control and testing.
Provides an overview and application of the principles and tools of computer graphics. Includes characteristics of graphical display devices, graphics software primitives, representation, manipulation, and display of two- and three-dimensional objects, interactive graphics and the graphical user interface, and animation. Includes graphics programming projects.
This course explores advanced, emerging, or otherwise intriguing topics in Artificial Intelligence (AI), including (but not limited to) machine learning, deep learning architectures, reinforcement learning, generative AI, knowledge-based systems, multi-agent systems, and AI reasoning techniques. Students will gain conceptual understanding of the chosen AI technique(s), implement it/them using appropriate programming tools, evaluate its/their performance, and analyze its/their strengths, limitations, and ethical considerations in real-world contexts.
1 TO 3 Provides for focused study of a special interest topic in computing using learning formats selected by the instructor as best suited for the particular course.
This course involves an introductory study of the main elements of an operating system memory management, process management, device management, and file management. An operating system defines an abstraction of hardware behavior with which programmers can control the hardware. It also manages resource sharing among the computer’s users. This course investigates these concepts as well as issues that influence the design of contemporary operating systems, including management of processes, memory, devices, and files. Additional special topics may include scripting, security, fault tolerance, and real-time systems.
Students will study the four categories of programming languages: imperative, object-oriented, functional and logic. An in-depth discussion of the imperative languages will be followed by discussions of the other three paradigms. Students will be required to investigate at least one language.
Studies the architecture, algorithms, and programming that are involved with parallel processing. Students will learn how parallel architecture affects the design of parallel algorithms and parallel programming. Architectures shall include the prevailing message passing and shared memory architectures. Students will learn how to design parallel algorithms and how to think in parallel. Students will learn how to write parallel programs, using a prevailing parallel programming language. Programming may be done by remotely using an account at a supercomputer center, using serial computers that are working together to solve a problem (a cluster), or using an individual computer which has multiple processors within it.
This course is an introduction to abstract machine theory, combinatorial systems, computable functions, and formal linguistics. Topics include finite-state machines, regular sets, Turing machines, Chomsky hierarchy grammars and languages. Emphasis is on surveying basic topics and developing an intuitive understanding in the theory of languages.
This course studies the design and construction of compilers. Lexical analysis, syntactic analysis and code generation are investigated in detail. Language design, interpreters, semantic analysis, intermediate code generation and code optimization are also considered.
Surveys the thinking and some of the pioneering efforts in the area of artificial intelligence (AI), integrated with more traditional approaches to decision-making. Applies AI principles through the use of logic programming languages.
This course introduces students to software engineering. They will study its history, terminology, requirements, specifications, and design. The students will write requirements, specifications, and design documents, and one or more papers on software engineering topics.
This course is a continuation of CMSC 4900 and the capstone course of the program. The project proposal developed and designed in the first Senior Project class will be implemented in this course. The student will produce a project users’ manual and will demonstrate proficiency in the academic program through the development of the project.
1 TO 21 The internship in computer science is intended to give the student an opportunity for on-the-job experience in theoretical or applied computer science. The internship shall incorporate meaningful productive experience usually during the junior year. Time spent and the nature of the experience is usually under the control of the local agency and is used in the determination of the amount of credit obtained. In addition to the hours spent on the job, the student shall also be responsible to the department Internship Coordinator.
Source: Pennsylvania Western University's catalog, linked per course · table learning_unit · CourseShelf publish 59
