CSCD 110. INTRODUCTION TO PROGRAMMING. 5 Credits.

Students learn fundamental programming concepts, programming environment topics and current technologies in computing. Programming concepts include structure and design using pseudo-code, basic syntax, variables, arithmetic, decisions, repetition, input and output. Programming environment topics include editor use, saving, compiling, running and debugging. Programming projects are required.

CSCD 196. EXPERIMENTAL COURSE. 1-5 Credits.

CSCD 199. DIRECTED STUDY. 1-5 Credits.

Pre-requisites: permission of the instructor, department chair and college dean.

CSCD 202. COMPUTING ETHICS. 4 Credits.

Pre-requisites: ENGL 101.
Satisfies: a BACR for humanities and arts.
This course explores the uses of computing technologies from a socio-cultural and ethical perspective, including the impacts of information systems on individuals, organization, and society and future direction in which the forces of technology and computing are tending to move us.

CSCD 210. PROGRAMMING PRINCIPLES I. 5 Credits.

Notes: Concurrent registration in MATH 141 or higher, highly recommended. Transcript evidence of a previous programming course at the high school or college level will be accepted for CSCD 110.
Pre-requisites: MATH 114 with grade ≥C and CSCD 110.
This course covers the concepts and practices of information representation, computer algorithms, hardware organization and computer program design and implementation. Students write, run, debug, analyze and evaluate computer programs. Topics include primitive data types, number systems, file I/O classes, control structures, method design and usage, array–sorting and searching algorithms. Programming projects are required.

CSCD 211. PROGRAMMING PRINCIPLES II. 5 Credits.

Notes: concurrent registration in MATH 142 or higher is highly recommended.
Pre-requisites: CSCD 210 with a grade ≥C+, MATH 141 with a grade ≥C.
This course continues coverage of concepts introduced in Programming Principles I. Topics include composition, recursion, data abstraction, polymorphism, inheritance, interfaces, inner classes, abstract classes, object cloning, array lists, linked lists, and exception handling. Programming projects are required.

CSCD 240. C AND UNIX PROGRAMMING. 5 Credits.

Pre-requisites: CSCD 210 with a grade ≥C+ or EENG 163 with a grade ≥C+.
This course includes program development tools of the UNIX operating system and syntax and programming techniques of the C language in that environment. UNIX topics include interactive shells, common text editors, utility programs, file system structure, libraries and operating system calls and system programming. C topics include data types, structures, pointers and pointer arithmetic, arrays, linked lists, and function design and use. Programming projects are required.

CSCD 260. ARCHITECTURE AND ORGANIZATION. 3 Credits.

Pre-requisites: CSCD 240 with a grade ≥C+; EENG 160 with a grade ≥C. Corequisite: CSCD 260L.
Covers fundamentals of digital computer design and microcomputer systems. Topics include number systems, Boolean algebra, basic digital circuits, and an instruction set for a microprocessor. Homework assignments will include use of current software for the design, analysis, and simulation of digital circuits, assembly language programming emphasizing I/O device access and features that support high level languages. Programming projects are required. Companion course to CSCD 260L.

CSCD 260L. ARCHITECTURE AND ORGANIZATION LAB. 1 Credit.

Pre-requisites: CSCD 240 with a grade ≥C+; EENG 160 with a grade ≥C. Corequisite: CSCD 260.
Companion lab to CSCD 260.

CSCD 296. EXPERIMENTAL COURSE. 1-5 Credits.

CSCD 299. SPECIAL STUDIES. 1-5 Credits.

Pre-requisites: permission of the instructor, department chair and college dean.
Subjects studied vary according to student and faculty interest.

CSCD 300. DATA STRUCTURES. 5 Credits.

Pre-requisites: CSCD 211 and MATH 142. A grade ≥C+ is required for CSCD prerequisite and a ≥C for each supporting prerequisite.
This course covers fundamental abstract concepts of data structures as well as their implementation in a programming language. Topics include linked lists, stacks, queues, hashing, recursion, complexity analysis of algorithms, and binary search trees. Programming projects with formal documentation are required.

CSCD 305. C++ PROGRAMMING. 3 Credits.

Pre-requisites: CSCD 240 with a grade ≥C+ or EENG 255 with a grade ≥C+. Corequisite: CSCD 305L.
Covers the C++ programming language. Topics include basic syntax, pointers, memory management, classes, inheritance and polymorphism, exception handling, standard template library usage, namespaces, memory management, and graphical user interface (GUI) programming. Programming projects are required. Companion course to CSCD 305L.

CSCD 305L. C++ PROGRAMMING LAB. 1 Credit.

Pre-requisites: CSCD 240 with a grade ≥C+ or EENG 255 with a grade ≥C+. Corequisite: CSCD 305.
Companion lab to CSCD 305.

CSCD 320. ALGORITHMS. 5 Credits.

Pre-requisites: CSCD 300 with a grade ≥C+, MATH 301 with a grade ≥C, advancement programming exam clearance.
This course studies data structures and algorithms, with emphasis on algorithmic strategies such as dynamic programming and emphasis on non-linear data structures such as trees and graphs. Programming projects are required.

CSCD 327. RELATIONAL DATABASE SYSTEMS. 3 Credits.

Pre-requisites: CSCD 211 with a grade ≥C+ and MATH 301 with a grade ≥C. Corequisite: CSCD 327L.
Covers the basic concepts in relational database systems, including data manipulation language and data definition language. Relational models are covered in depth together with an overview of SQL, Relational Algebra, Entity-Relationship Model, and its role in application development. Companion course to CSCD 327L.

CSCD 327L. RELATIONAL DATABASE SYSTEMS LAB. 1 Credit.

Pre-requisites: CSCD 211 with a grade ≥C+ and MATH 301 with a grade ≥C. Corequisite: CSCD 327.
Companion lab to CSCD 327.

CSCD 330. COMPUTER NETWORKS. 3 Credits.

Pre-requisites: CSCD 210 with a grade ≥C+, CSCD 240 with a grade ≥C+. Corequisite: CSCD 330L.
Covers fundamental concepts, protocol mechanisms, and programming skills for computer networks. Includes a technical overview of telecommunication media and fundamental protocols for the Internet such as ISO/OSI layers, Ethernet, collision detection, and channel allocation. Programming projects are required. Companion course to CSCD 330L.

CSCD 330L. COMPUTER NETWORKS LAB. 1 Credit.

Pre-requisites: CSCD 210 with a grade ≥C+, CSCD 240 with a grade ≥C+. Corequisite: CSCD 330.
Companion lab to CSCD 330.

CSCD 340. OPERATING SYSTEMS. 5 Credits.

Pre-requisites: CSCD 240 with a grade ≥C+; and CSCD 260 with a grade ≥C+ or EENG 260 with a grade ≥C+.
This course covers major concepts in the design and modeling of operating systems for digital computers. Topics include historical development of operating systems; methods used in simulations, memory management, system protection mechanisms, I/O management, CPU scheduling, process management and file systems. Programming assignments, program analyses and written reports are required.

CSCD 350. SOFTWARE DEVELOPMENT PRINCIPLES. 3 Credits.

Pre-requisites: CSCD 300 with a grade ≥C+, Advancement Programming Exam (APE) clearance. Corequisite: CSCD 350L.
Covers formal approaches and tools for conceiving, understanding, analyzing, designing, building, testing, deploying, documenting, and maintaining large software systems. May include software lifecycle models; project and team management; verification and validation techniques; legal and ethical issues; practical development and application of skills in critical thinking, communication, and professionalism. A team-based software development project is required. Companion course to CSCD 350L.

CSCD 350L. SOFTWARE DEVELOPMENT PRINCIPLES LAB. 1 Credit.

Pre-requisites: CSCD 300 with a grade ≥C+, Advancement Programming Exam (APE) clearance. Corequisite: CSCD 350.
Companion lab to CSCD 350.

CSCD 371. .NET PROGRAMMING. 3 Credits.

Pre-requisites: CSCD 300 with a grade ≥C+, advancement programming exam clearance. Corequisite: CSCD 371L.
Introduces .NET Programming and the .NET framework. Emphasis is placed on the syntactical features of the language and how to effectively use the design of the language in conjunction with the .NET Framework. Topics include .NET fundamentals, .NET assemblies, language fundamentals, object oriented design and programming, delegates and events, threading, serialization, database connectivity, windows and dialogs, and GUI components. Programming projects are required. Companion course to CSCD 371L.

CSCD 371L. .NET PROGRAMMING LAB. 1 Credit.

Pre-requisites: CSCD 300 with a grade ≥C+, advancement programming exam clearance. Corequisite: CSCD 371.
Companion lab to CSCD 371.

CSCD 377. INTRODUCTORY COMPUTER GRAPHICS. 3 Credits.

Pre-requisites: CSCD 240 with a grade ≥C+, MATH 142 with a grade ≥C. Corequisite: CSCD 377L.
Introduces the basic underlying concepts and techniques of 3D modeling and animation with primitive building blocks using OpenGL Shading Language. Companion course to CSCD 377L.

CSCD 377L. INTRODUCTORY COMPUTER GRAPHICS LAB. 1 Credit.

Pre-requisites: CSCD 240 with a grade ≥C+, MATH 142 with a grade ≥C. Corequisite: CSCD 377.
Companion lab to CSCD 377.

CSCD 379. .NET WEB APPLICATION DEVELOPMENT. 3 Credits.

Pre-requisites: CSCD 327 & CSCD 327L with a grade ≥C+, CSCD 371 & CSCD 371L with a grade ≥C+. Corequisite: CSCD 379L.
Examines the fundamental principles and techniques associated with the development of multi-tier web applications, using the .NET Framework. Topics include web standards, portability, and usability. Programming projects are required. Companion course to CSCD 379L.

CSCD 379L. .NET WEB APPLICATION DEVELOPMENT LAB. 1 Credit.

Pre-requisites: CSCD 327 & CSCD 327L with a grade ≥C+, CSCD 371 & CSCD 371L with a grade ≥C+. Corequisite: CSCD 379.
Companion lab to CSCD 379.

CSCD 395. INTERNSHIP. 1-10 Credits.

Notes: graded Pass/Fail.
Pre-requisites: permission of the instructor, department chair and college dean.

CSCD 396. EXPERIMENTAL COURSE. 1-5 Credits.

CSCD 399. DIRECTED STUDY. 1-5 Credits.

Pre-requisites: permission of the instructor, department chair and college dean.

CSCD 420. COMPILERS. 3 Credits.

Pre-requisites: CSCD 320 with a grade ≥C+. Corequisite: CSCD 420L.
Explores Automata Theory, Regular Expressions, the Backus-Naur metalanguage for specifying programming language syntax, and Interpreter and Compiler Design. Programming projects are required. Companion course to CSCD 420L.

CSCD 420L. COMPILERS LAB. 1 Credit.

Pre-requisites: CSCD 320 with a grade ≥C+. Corequisite: CSCD 420.
Companion lab to CSCD 420.

CSCD 427. ADVANCED DATABASE MANAGEMENT SYSTEMS. 3 Credits.

Pre-requisites: CSCD 327 with a grade ≥C+, advancement programming exam clearance. Corequisite: CSCD 427L.
Focuses on current trends in database technologies. Topics may include secondary storage, index structures, query processing, query optimization, concurrency control, transaction management, distributed databases, data mining, and information retrieval. Companion course to CSCD 427L.

CSCD 427L. ADVANCED DATABASE MANAGEMENT SYSTEMS LAB. 1 Credit.

Pre-requisites: CSCD 327 with a grade ≥C+, advancement programming exam clearance. Corequisite: CSCD 427.
Companion lab to CSCD 427.

CSCD 429. DATA MINING. 3 Credits.

Pre-requisites: CSCD 300 with a grade ≥C+, Advancement Programming Exam clearance. Corequisite: CSCD 429L.
Data mining is the process of automatic discovery of patterns, changes, associations, and anomalies in massive databases. This course provides an introduction to the main topics in data mining and knowledge discovery, including: data preparation for knowledge discovery, frequent pattern and association mining, classification and cluster analysis. Companion course to CSCD 429L.

CSCD 429L. DATA MINING LAB. 1 Credit.

Pre-requisites: CSCD 300 with a grade ≥C+, Advancement Programming Exam clearance. Corequisite: CSCD 429.
Companion lab to CSCD 429.

CSCD 430. BIG DATA ANALYTICS. 3 Credits.

Pre-requisites: CSCD 320 and CSCD 327, both with a grade ≥C+, Advance Programming Exam (APE) clearance. Corequisite: CSCD 430L.
Examines the basic concepts and practices of big data computing. Covers the challenges that arise when the size of data to be analyzed outgrows the limits of traditional data analytics systems, the new challenges big data computing introduces, and the evolution of the big-data ecosystem. Additionally, touches upon classical subjects such as MapReduce, modern approaches such as Spark, and the approaches of analyzing semi-structured and unstructured data. Companion course to CSCD 430L.

CSCD 430L. BIG DATA ANALYTICS LAB. 1 Credit.

Pre-requisites: CSCD 320 and CSCD 327, both with a grade ≥C+, Advance Programming Exam (APE) clearance. Corequisite: CSCD 430.
Companion lab to CSCD 430.

CSCD 439. TOPICS IN COMPUTER SCIENCE. 2-5 Credits.

Prerequisites will be applied as required by the topic. This course is a variable topics course dealing with current trends in computer science. Possible topics include compiler design, advanced operating systems, computational complexity, computer graphics, software testing and verification, artificial intelligence, pattern recognition, computer simulation and modeling, graph algorithms.

CSCD 445. GPU COMPUTING. 3 Credits.

Pre-requisites: CSCD 240 with a grade ≥C+, CSCD 300 with a grade ≥C+, Advancement Programming Exam (APE) clearance. Corequisite: CSCD 445L.
Beyond its applications in Graphics, general-purpose graphics processing unit computing (GPGPU) utilizes a Graphics Processing Unit (GPU)–which typically used to perform computations exclusively for computer graphics–at present to parallelize computations traditionally performed by the CPU. GPGPU becomes more widely used in applications demanding high performance. Companion course to CSCD 445L.

CSCD 445L. GPU COMPUTING LAB. 1 Credit.

Pre-requisites: CSCD 240 with a grade ≥C+, CSCD 300 with a grade ≥C+, Advancement Programming Exam (APE) clearance. Corequisite: CSCD 445.
Companion lab to CSCD 445.

CSCD 467. PARALLEL AND CLOUD COMPUTING. 3 Credits.

Pre-requisites: CSCD 300 with a grade ≥C+, CSCD 330 with a grade ≥C+, Advancement Programming Exam (APE) clearance. Corequisite: CSCD 467L.
Explores up-to-date parallel platforms, such as Cluster computing and Cloud computing that use networked computers to store and process large datasets in parallel. Topics include synchronization techniques, high-performance server/service design, performance issues, distributed file systems and MapReduce framework, VPC technology, Cloud scalability, availability and Cloud architecture. Hands-on assignments and projects are required. Companion course to CSCD 467L.

CSCD 467L. PARALLEL AND CLOUD COMPUTING LAB. 1 Credit.

Pre-requisites: CSCD 300 with a grade ≥C+, CSCD 330 with a grade ≥C+, Advancement Programming Exam (APE) clearance. Corequisite: CSCD 467.
Companion lab to CSCD 467.

CSCD 470. 3D COMPUTER GRAPHICS PRINCIPLES. 3 Credits.

Pre-requisites: CSCD 377 & CSCD 377L with a grade ≥C+ or equivalent. Corequisite: CSCD 470L.
Introduces the basic, and some advanced, theoretical concepts involved in 3D computer graphics. Concepts are illustrated using 3D rendering software allowing students to understand the practical application of the theory. Programming projects are required. Companion course to CSCD 470L.

CSCD 470L. 3D COMPUTER GRAPHICS PRINCIPLES LAB. 1 Credit.

Pre-requisites: CSCD 377 & CSCD 377L with a grade ≥C+ or equivalent. Corequisite: CSCD 470.
Companion lab to CSCD 470.

CSCD 471. ADVANCED 3D COMPUTER GRAPHICS. 3 Credits.

Pre-requisites: CSCD 470 & CSCD 470L with a grade ≥C+, Advancement Programming Exam clearance. Corequisite: CSCD 471L.
Involves program implementation of 3D computer graphics theory elements from previous graphics courses using a commonly available cross platform 3D graphics application program interface. Programming assignments include implementation of topics from CSCD 470 such as generation of graphics primitives, the virtual camera, perspective projection, modeling and representation of three-dimensional objects, and basic lighting. Companion course to CSCD 471L.

CSCD 471L. ADVANCED 3D COMPUTER GRAPHICS LAB. 1 Credit.

Pre-requisites: CSCD 470 & CSCD 470L with a grade ≥C+, Advancement Programming Exam clearance. Corequisite: CSCD 471.
Companion lab to CSCD 471.

CSCD 473. DATA VISUALIZATION. 3 Credits.

Pre-requisites: CSCD 240 and CSCD 300 with a grade ≥C+. Corequisite: CSCD 473L.
Introduces several tools and approaches for scientific data visualization with hands-on projects and assignments. Covers cutting-edge information visualization tools and techniques. Companion course to CSCD 473L.

CSCD 473L. DATA VISUALIZATION LAB. 1 Credit.

Pre-requisites: CSCD 240 and CSCD 300 with a grade ≥C+. Corequisite: CSCD 473.
Companion lab to CSCD 473.

CSCD 474. GAME DESIGN AND DEVELOPMENT 1. 3 Credits.

Pre-requisites: CSCD 350 & CSCD 350L with a grade ≥C+, Advancement Programming Exam clearance. Corequisite: CSCD 474L.
An overview of game design principles including game analysis frameworks, prototyping, testing, balance, puzzle design, player typology, and AI. Students learn the Unity game development engine and produce guided games and small projects that demonstrate tiling, terrain generation, and scripting in C#. This is the first course in a two-course sequence. Application of many of these principles will come in the following course. Companion course to CSCD 474L.

CSCD 474L. GAME DESIGN AND DEVELOPMENT 1 LAB. 1 Credit.

Pre-requisites: CSCD 350 & CSCD 350L with a grade ≥C+, Advancement Programming Exam clearance. Corequisite: CSCD 474.
Companion lab to CSCD 474.

CSCD 475. GAME DESIGN AND DEVELOPMENT 2. 3 Credits.

Pre-requisites: CSCD 474 & CSCD 474L with a grade ≥C+, Advancement Programming Exam clearance. Corequisite: CSCD 475L.
Application of game design principles learned in CSCD 474. Students create three games from scratch in Unity and emulate releasing them to the real world. Students review and analyze games created by other students. Advanced topics covered depend on student interests. Companion course to CSCD 475L.

CSCD 475L. GAME DESIGN AND DEVELOPMENT 2 LAB. 1 Credit.

Pre-requisites: CSCD 474 & CSCD 474L with a grade ≥C+, Advancement Programming Exam clearance. Corequisite: CSCD 475.
Companion lab to CSCD 475.

CSCD 477. VIRTUAL REALITY WITH COMPUTER GRAPHICS AND GAME ENGINES. 3 Credits.

Pre-requisites: CSCD 470 with a grade ≥C+. Corequisite: CSCD 477L.
Introduces the concept of virtual reality (VR) using knowledge of computer graphics with hands-on projects and programming assignments. Students use game engines as the implementation platforms for graphics-related programming assignments and projects. With virtual devices, scientific results, visualization, and simulations are explored in unimodal and multimodal virtual environments. Companion course to CSCD 477L.

CSCD 477L. VIRTUAL REALITY WITH COMPUTER GRAPHICS AND GAME ENGINES LAB. 1 Credit.

Pre-requisites: CSCD 470 with a grade ≥C+. Corequisite: CSCD 477.
Companion lab to CSCD 477.

CSCD 480. INTELLIGENT SYSTEMS. 3 Credits.

Pre-requisites: CSCD 300 with a grade ≥ C+. Corequisite: CSCD 480L.
Fundamental concepts and techniques of modeling, simulating, visualizing, and analyzing complex real-world quantitative and qualitative systems of systems by using artificial intelligence, knowledge acquisition and representation, reasoning, planning, machine learning, expert systems, intelligent agents and multi-agent systems, and search strategies; emphasizes practical applications to contemporary smart and mobile devices. Companion course to CSCD 480L.

CSCD 480L. INTELLIGENT SYSTEMS LAB. 1 Credit.

Pre-requisites: CSCD 300 with a grade ≥ C+. Corequisite: CSCD 480.
Companion lab to CSCD 480.

CSCD 483. MODELING AND SIMULATION. 3 Credits.

Pre-requisites: CSCD 300 with a grade ≥C+, Advancement Programming Exam clearance. Corequisite: CSCD 483L.
Covers tools and techniques for modeling, simulation, visualization and analysis of interesting real-world physical and virtual systems. Examples include: airplanes, helicopters, trains, ships, cars, submarines, tanks, construction equipment, weapon systems, air traffic control, flight simulation, gaming, virtual reality, software engineering, software quality assurance, reliability and risk analysis, engineering, control systems, physics, economics, big data. Companion course to CSCD 483L.

CSCD 483L. MODELING AND SIMULATION LAB. 1 Credit.

Pre-requisites: CSCD 300 with a grade ≥C+, Advancement Programming Exam clearance. Corequisite: CSCD 483.
Companion lab to CSCD 483.

CSCD 484. MACHINE LEARNING. 3 Credits.

Pre-requisites: CSCD 300 with a grade ≥C+, Advancement Programming Exam Clearance. Corequisite: CSCD 484L.
Study of various methods for learning and recognizing patterns in data. Discusses supervised learning models that include decision trees, linear regression and its nonlinear transformation, logistic regression, neural networks, and model ensembles. Topics include various clustering algorithms and principle component analysis for dimensionality reduction. Focuses on explaining why these underhood learnings can be possible and how they are achieved. Companion course to CSCD 484L.

CSCD 484L. MACHINE LEARNING LAB. 1 Credit.

Pre-requisites: CSCD 300 with a grade ≥C+, Advancement Programming Exam Clearance. Corequisite: CSCD 484.
Companion lab to CSCD 484.

CSCD 485. DEEP LEARNING. 3 Credits.

Pre-requisites: CSCD 484 with a grade ≥C+, Advancement Programming Exam clearance. Corequisite: CSCD 485L.
Study of various neural network based deep machine learning models. Includes Convolutional Networks, Recurrent Networks and its LSTM variant, Generative Adversarial Network, Diffusion Models, and attention-based Transformers. Discusses practical strategies for effective model training such as Dropout and batch/layer Normalization. Demonstrates the use of these models via real-world applications. Programming assignments are required to implement these models. Companion course to CSCD 485L.

CSCD 485L. DEEP LEARNING LAB. 1 Credit.

Pre-requisites: CSCD 484 with a grade ≥C+, Advancement Programming Exam clearance. Corequisite: CSCD 485.
Companion lab to CSCD 485.

CSCD 488. SENIOR PROJECT. 5 Credits.

Notes: students will receive a Y grade until successful completion of CSCD 490.
Pre-requisites: senior standing, CSCD 327 with a grade ≥ C+, CSCD 350 with a grade ≥ C+, Advancement Programming Exam clearance.
This course is the first of a two-quarter project sequence. Students will take CSCD 490 Senior Capstone the quarter following successful completion of Senior Project. Student teams apply computer science principles to specified projects. Based on requirements provided, each team will use appropriate tools, systems, and management skills in support of project development.

CSCD 490. SENIOR CAPSTONE. 5 Credits.

Notes: this course is the second course of a two-quarter project sequence and must be taken the quarter following successful completion of the Senior Project course.
Pre-requisites: CSCD 488 prior quarter and Advancement Programming Exam clearance.
Satisfies: a university graduation requirement–senior capstone.
During this course the specified project is completed using appropriate tools and digital systems development methodologies to additionally specify, design, implement, install and test a systems solution that meets the specified needs. Milestone reports, including an oral presentation and complete final project documentation are required.

CSCD 495. INTERNSHIP. 1-10 Credits.

Notes: graded Pass/Fail.
Pre-requisites: CSCD 300 a grade ≥C+; permission of the instructor, department chair and college dean.
Internship.

CSCD 496. EXPERIMENTAL COURSE. 1-5 Credits.

CSCD 498. SEMINAR. 1-5 Credits.

Pre-requisites: permission of the instructor.

CSCD 499. DIRECTED STUDY. 1-5 Credits.

Pre-requisites: permission of the instructor, department chair and college dean.

CSCD 501. ADVANCED ALGORITHMS. 5 Credits.

Pre-requisites: CSCD 320 with a grade ≥C+; MATH 301 with a grade ≥C.
Studies advanced data structures and skills for designing and analyzing nontrivial algorithms. Progresses toward advanced topics based on the foundation of basic algorithm design and analysis skills such as divide-conquer and dynamic programming. Covers topics including approximate algorithms, randomized algorithms and statistical analysis, string algorithms, algorithms for network flow problems, various advanced data structures, and the NP-completeness.

CSCD 524. ADVANCED SOFTWARE ENGINEERING. 3 Credits.

Pre-requisites: CSCD 350 with a grade ≥C+. Corequisite: CSCD 524L.
A variable content survey of advanced topics in software engineering. Emphasis is on software quality assurance through quantitative modeling, simulation, visualization, and analysis for disciplined test and evaluation in support of software verification, validation, accreditation, and certification. A research project is required. Companion course to CSCD 524L.

CSCD 524L. ADVANCED SOFTWARE ENGINEERING LAB. 1 Credit.

Pre-requisites: CSCD 350 with a grade ≥C+. Corequisite: CSCD 524.
Companion lab to CSCD 524.

CSCD 527. MODERN DATABASE SYSTEMS. 3 Credits.

Pre-requisites: CSCD 327 with a grade ≥C+. Corequisite: CSCD 527L.
An in-depth study of relational DBMSs and other selected database topics. Possible topics include recovery, concurrency control, transaction management, distributed DB models, and various NoSQL systems. Companion course to CSCD 527L.

CSCD 527L. MODERN DATABASE SYSTEMS LAB. 1 Credit.

Pre-requisites: CSCD 327 with a grade ≥C+. Corequisite: CSCD 527.
Companion lab to CSCD 527.

CSCD 529. DATA MINING. 3 Credits.

Pre-requisites: CSCD 300 with a grade ≥C+, Advancement Programming Exam clearance. Corequisite: CSCD 529L.
Data mining is the process of automatic discovery of patterns, changes, associations, and anomalies in massive databases. This course provides an introduction to the main topics in data mining and knowledge discovery, including: data preparation for knowledge discovery, frequent pattern and association mining, classification, and cluster analysis. Companion course to CSCD 529L.

CSCD 529L. DATA MINING LAB. 1 Credit.

Pre-requisites: CSCD 300 with a grade ≥C+, Advancement Programming Exam clearance. Corequisite: CSCD 529.
Companion lab to CSCD 529.

CSCD 530. BIG DATA ANALYTICS. 3 Credits.

Pre-requisites: CSCD 320 with a grade ≥C+; CSCD 327 with a grade ≥C+. Corequisite: CSCD 530L.
Examines the basic concepts and practices of big data computing. Covers the challenges that arise when the size of data to be analyzed outgrows the limits of traditional data analytics systems, the new challenges big data computing introduces and the evolution of the big-data ecosystem. Touches upon classical subjects such as MapReduce, modern approaches such as Spark, and the approaches of analyzing semi-structured and unstructured data. Companion course to CSCD 530L.

CSCD 530L. BIG DATA ANALYTICS LAB. 1 Credit.

Pre-requisites: CSCD 320 with a grade ≥C+; CSCD 327 with a grade ≥C+. Corequisite: CSCD 530.
Companion lab to CSCD 530.

CSCD 539. TOPICS IN COMPUTER SCIENCE. 4 Credits.

Pre-requisites: graduate standing in computer science or permission of the instructor.
A variable content course dealing with an area of computer science other than hardware. Possible topics include compiler design, advanced operating systems, computational complexity, computer graphics, software testing and verification, artificial intelligence, pattern recognition, computer architecture, simulation and modeling, graph algorithms.

CSCD 545. GPU COMPUTING. 3 Credits.

Pre-requisites: CSCD 240 with a grade ≥C+, CSCD 300 with a grade ≥C+, Advancement Programming Exam clearance. Corequisite: CSCD 545L.
Beyond its applications in Graphics, General-Purpose Graphics Processing Unit computing (GPGPU) utilizes a Graphics Processing Unit (GPU)–which typically used to perform computations exclusively for computer graphics–at present to parallelize computations traditionally performed by the CPU. GPGPU becomes more widely used in applications demanding high performance. Companion course to CSCD 545L.

CSCD 545L. GPU COMPUTING LAB. 1 Credit.

Pre-requisites: CSCD 240 with a grade ≥C+, CSCD 300 with a grade ≥C+, Advancement Programming Exam clearance. Corequisite: CSCD 545.
Companion lab to CSCD 545.

CSCD 567. PARALLEL AND CLOUD COMPUTING. 3 Credits.

Pre-requisites: CSCD 300 with a grade ≥C+; CSCD 330 with a grade ≥C+; Advancement Programming Exam clearance. Corequisite: CSCD 567L.
Studies the core technologies used to develop the essential components in modern distributed, parallel and Cloud systems using networked computers to store and process large datasets in parallel. Topics include synchronization techniques, high-performance server/service design, performance issues, distributed file systems and MapReduce framework, VPC technology, Cloud scalability, availability, and Cloud architecture. Companion course to CSCD 567L.

CSCD 567L. PARALLEL AND CLOUD COMPUTING LAB. 1 Credit.

Pre-requisites: CSCD 300 with a grade ≥C+; CSCD 330 with a grade ≥C+; Advancement Programming Exam clearance. Corequisite: CSCD 567.
Companion lab to CSCD 567.

CSCD 570. 3D COMPUTER GRAPHICS PRINCIPLES. 3 Credits.

Pre-requisites: CSCD 377 with ≥C+ or equivalent. Corequisite: CSCD 570L.
Dives deep into basic and advanced concepts of computer graphics with hands-on assignments and introduces how animation is performed in Pixar movies. Companion course to CSCD 570L.

CSCD 570L. 3D COMPUTER GRAPHICS PRINCIPLES LAB. 1 Credit.

Pre-requisites: CSCD 377 with ≥C+ or equivalent. Corequisite: CSCD 570.
Companion lab to CSCD 570.

CSCD 573. DATA VISUALIZATION. 3 Credits.

Pre-requisites: CSCD 240 with a grade ≥C+; CSCD 300 with a grade ≥C+. Corequisite: CSCD 573L.
Introduces several tools and approaches for scientific data visualization with hands-on projects and assignments. Students will be familiar with cutting-edge information visualization tools and techniques. Companion course to CSCD 573L.

CSCD 573L. DATA VISUALIZATION LAB. 1 Credit.

Pre-requisites: CSCD 240 with a grade ≥C+; CSCD 300 with a grade ≥C+. Corequisite: CSCD 573.
Companion lab to CSCD 573.

CSCD 574. GAME DESIGN AND DEVELOPMENT 1. 3 Credits.

Pre-requisites: CSCD 350 & CSCD 350L with a grade ≥C+; Advancement Programming Exam clearance. Corequisite: CSCD 574L.
An overview of game design principles including game analysis frameworks, prototyping, testing, balance, puzzle design, player typology, and AI. Students learn the Unity game development engine and produce guided games and small projects that demonstrate tiling, terrain generation, and scripting in C#. This is the first course in a two-course sequence. Application of many of these principles will come in the following course. Companion course to CSCD 574L.

CSCD 574L. GAME DESIGN AND DEVELOPMENT 1 LAB. 1 Credit.

Pre-requisites: CSCD 350 & CSCD 350L with a grade ≥C+; Advancement Programming Exam clearance. Corequisite: CSCD 574.
Companion lab to CSCD 574.

CSCD 575. GAME DESIGN AND DEVELOPMENT 2. 3 Credits.

Pre-requisites: CSCD 574 & CSCD 574L with a grade ≥C+; Advancement Programming Exam clearance. Corequisite: CSCD 575L.
An overview of game design principles including game analysis frameworks, prototyping, testing, balance, puzzle design, player typology, and AI. Students learn the Unity game development engine and produce guided games and small projects that demonstrate tiling, terrain generation, and scripting in C#. This is the first course in a two-course sequence. Application of many of these principles will come in the following course. Companion course to CSCD 575L.

CSCD 575L. GAME DESIGN AND DEVELOPMENT 2 LAB. 1 Credit.

Pre-requisites: CSCD 574 & CSCD 574L with a grade ≥C+; Advancement Programming Exam clearance. Corequisite: CSCD 575.
Companion lab to CSCD 575.

CSCD 577. VIRTUAL REALITY WITH COMPUTER GRAPHICS AND GAME ENGINES. 3 Credits.

Pre-requisites: CSCD 470 or CSCD 570 with a grade ≥C+. Corequisite: CSCD 577L.
Introduces the concept of virtual reality (VR) using knowledge of computer graphics with hands-on projects and programming assignments. Students learn to use game engines as the implementation platforms for graphics-related programming assignments and projects. With virtual devices, scientific results, visualization, and simulations are explored in unimodal and multimodal virtual environments. Companion course to CSCD 577L.

CSCD 577L. VIRTUAL REALITY WITH COMPUTER GRAPHICS AND GAME ENGINES LAB. 1 Credit.

Pre-requisites: CSCD 470 or CSCD 570 with a grade ≥C+. Corequisite: CSCD 577.
Companion lab to CSCD 577.

CSCD 580. INTELLIGENT SYSTEMS. 3 Credits.

Pre-requisites: CSCD 300 with a grade ≥C+. Corequisite: CSCD 580L.
Fundamental concepts and techniques of modeling, simulating, visualizing, and analyzing complex real-world quantitative and qualitative systems of systems by using artificial intelligence, knowledge acquisition and representation, reasoning, planning, machine learning, expert systems, intelligent agents and multi-agent systems, and search strategies; emphasizes practical applications to contemporary smart and mobile devices. Companion course to CSCD 580L.

CSCD 580L. INTELLIGENT SYSTEMS LAB. 1 Credit.

Pre-requisites: CSCD 300 with a grade ≥C+. Corequisite: CSCD 580.
Companion lab to CSCD 580.

CSCD 583. MODELING AND SIMULATION. 3 Credits.

Pre-requisites: CSCD 300 with a grade ≥ C+. Corequisite: CSCD 583L.
Covers tools and techniques for modeling, simulation, visualization and analysis of interesting real-world physical and virtual systems. Examples include airplanes, helicopters, trains, ships, cars, submarines, tanks, construction equipment, weapon systems, air traffic control, flight simulation, gaming, virtual reality, software engineering, software quality assurance, reliability and risk analysis, engineering, control systems, physics, economics, big data. Companion course to CSCD 583L.

CSCD 583L. MODELING AND SIMULATION LAB. 1 Credit.

Pre-requisites: CSCD 300 with a grade ≥ C+. Corequisite: CSCD 583.
Companion lab to CSCD 583.

CSCD 584. MACHINE LEARNING. 3 Credits.

Pre-requisites: CSCD 300 with a grade ≥ C+, Advancement Programming Exam clearance. Corequisite: CSCD 584L.
Study of various methods for learning and recognizing patterns in data. Discusses supervised learning models that include the perceptron learning algorithm, linear regression and its nonlinear transformation, logistic regression, neural networks, and model ensembles. Focuses on explaining why these under-hood “learnings” can be possible and how they are achieved. Programming assignments are required to implement these machine learning mechanisms from scratch. Companion course to CSCD 584L.

CSCD 584L. MACHINE LEARNING LAB. 1 Credit.

Pre-requisites: CSCD 300 with a grade ≥ C+, Advancement Programming Exam clearance. Corequisite: CSCD 584.
Companion lab to CSCD 584.

CSCD 585. DEEP LEARNING. 3 Credits.

Pre-requisites: CSCD 584 with a grade ≥ C+, Advancement Programming Exam clearance. Corequisite: CSCD 585L.
Study of various neural network based deep machine learning models. Includes Convolutional Networks, Recurrent Networks and its LSTM variant, Generative Adversarial Network, Diffusion Models, and attention-based Transformers. Discusses practical strategies for effective model training such as Dropout and batch/layer Normalization. Demonstrates the use of these models via real-world applications. Programming assignments are required to implement these models. Companion course to CSCD 585L.

CSCD 585L. DEEP LEARNING LAB. 1 Credit.

Pre-requisites: CSCD 584 with a grade ≥ C+, Advancement Programming Exam clearance. Corequisite: CSCD 585.
Companion lab to CSCD 585.

CSCD 595. PROFESSIONAL INTERNSHIP. 2-16 Credits.

Pre-requisites: permission of the instructor, department chair and college dean.
Professional Internship.

CSCD 596. EXPERIMENTAL COURSE. 2-5 Credits.

CSCD 598. SEMINAR. 1-5 Credits.

CSCD 599. DIRECTED STUDY. 1-6 Credits.

Pre-requisites: permission of the instructor, department chair and college dean.

CSCD 600. THESIS. 1-16 Credits.

Notes: graded Pass/No Credit.
Pre-requisites: permission of the instructor, department chair and college dean.
A research thesis under the direction of a graduate committee.

CSCD 601. RESEARCH REPORT. 1-16 Credits.

Notes: graded Pass/No Credit.
Pre-requisites: permission of the instructor, department chair and college dean.
A research study in lieu of a bound thesis conducted as partial fulfillment of a master’s degree under the direction of a graduate committee.

CSCD 602. INDUSTRY PROJECT. 1-16 Credits.

Notes: graded Pass/No Credit.
Development and documentation of applied computer science project in an industry setting.

CSCD 695. DEPARTMENTAL INTERNSHIP. 1-16 Credits.

Notes: graded Pass/No Credit.
Pre-requisites: graduate standing; permission of the instructor, department chair and college dean.
Support work for the department relating to computer science. Activities will take place under the supervision of a department faculty or staff member. May involve experiences such as teaching lower-division coursework, systems administration activities and assisting with research activities.