Computer Science and Engineering
Chair: Gita Alaghband
Program Manager: Christina Ridd
Graduate Coordinator & Program Assistant: Kelly Konrad
Office: Lawrence Street Center, 8th Floor
Telephone: 303-315-1408
Website: engineering.ucdenver.edu/cse
Overview
Mission Statement
With the advances in technology and the rapid and prevalent growth of the information-based economy, computer science has become an enabling science for nearly all disciplines that impact engineering, science, business, health and government. The future of the discipline promises even more innovative advances. The Department of Computer Science and Engineering at the University of Colorado Denver is committed to providing outstanding education and research training to our diverse undergraduate and graduate students for productive careers in industry, academia and government in the Denver metropolitan area, state and beyond. Our faculty strive for excellence in teaching, research and service by covering a broad spectrum of the discipline’s core fundamentals, as well as applied aspects including those of interdisciplinary nature. We actively engage our students in classroom and out-of-classroom research and help them develop the skills needed to solve complex real-world technological problems of modern society.
Undergraduate Information
Computer Science Program
Computers as a combination of software and hardware have become significant to the whole of society. They affect the way in which business is conducted and the way people study and learn. Very important is the use of computers to develop new avenues of human communication, interaction and cooperation. Communication networks and the combination of text with audio and video are providing more people with fingertip access to a vast array of information and knowledge.
The computer scientist is a professional who must be prepared to apply his or her skills, knowledge and creativity in a rapidly changing field. The BS in computer science program at CU Denver prepares students for such creative work. The emphasis is on fundamental concepts and basic principles with a long useful life. The program is composed of five major study areas: mathematics, basic or engineering science, required computer science, technical electives and the CU Denver core curriculum.
Programs
CU Denver offers a number of different degrees and certificates in computer science. Each has a different emphasis and will prepare you for various careers in the rapidly changing field.
The BS in computer science is a comprehensive ABET accredited degree and gives students skills in the breadth and depth of CS knowledge needed to become computer scientists. The BS in computer science is preferred by many specialized companies especially in technical fields.
The BA in computer science gives students the fundamentals and skills needed to pair computer science with a another area of interest. The BA in computer science has reduced CS requirements and is not an ABET accredited degree, but empowers students with computing skills to work in their combined fields interest.
The BS in cybersecurity prepares students for careers in online security with skills to defend computers, servers, mobile devices, electronic systems, networks, users and data from malicious attacks.
Students should make a decision on which program they want to complete before starting 3000 level courses. Faculty advisors can help make this decision based on students desired careers. Staff advisors can assist with the change of major process and with academic requirements of each program.
For specific admission requirements for each program, please visit the CEDC Admissions website.
Faculty
Professors:
Gita Alaghband, PhD, University of Colorado
Research areas: parallel and distributed systems, parallel algorithms, applications and languages, high-performance computing
Tom Altman, PhD, University of Pittsburgh
Research areas: algorithms, optimization, theory
Min-Hyung Choi, PhD, University of Iowa
Research areas: computer graphics, animation, virtual reality, human computer interface
Douglas Sicker, PhD, University of Pittsburgh
Research areas: cybersecurity and wireless systems
Professor (Clinical Teaching Track):
Dave Ogle, PhD, Ohio State University
Research areas: networks
Associate Professors:
Farnoush Banaei-Kashani, PhD, University of Southern California
Research areas: big data management, big data mining, data science, geospatial data analysis, data stores (NewSQL)
Ellen Gethner, PhD, University of British Columbia; PhD, Ohio State University
Research areas: graph theory, number theory, combinatorics, discrete geometry, computational geometry, visualization, algorithms
Ilkyeun Ra, PhD, Syracuse University
Research areas: computer networks, cloud computing, high-performance computing, distributed computing systems
Assistant Professors:
Mazen Al Borno, PhD, University of Toronto
Research areas: health technology, computational models of human movement for applications in motor neuroscience, rehabilitation, wearable technology and robotics
Ashis Biswas, PhD, University of Texas at Arlington
Research areas: machine learning, data mining, big data analysis, bioinformatics
Liang He, PhD, Nankai University
Research areas: cyber-physical systems, cognitive battery management, IoTs, mobile computing
Haadi Jafarian, PhD, University of North Carolina Charlotte
Research areas: proactive security for cyber threats, big data analytics for cyber threat intelligence, security for cyber-physical systems & critical infrastructures, security for IoTs, security analytics & automation, science of security
Zhengxiong Li, PhD, SUNY Buffalo
Research areas: Internet of Things, cybersecurity, emerging technologies and applications
Assistant Professors (Clinical Teaching Track):
Madhuri Debnath, PhD, University of Texas at Arlington
Research areas: data mining, spatio-temporal data analysis, data science, machine learning
Salim Lakhani, PhD, Purdue University
Research areas: cloud computing and security, distributed computing & database systems
Senior Instructors (Clinical Teaching Track):
Sung-Hee Nam, MS, University of Colorado Boulder
Research areas: programming languages and distributed systems
Diane Ricciardella, MS, University of Colorado Denver
Research areas: artificial intelligence, linguistic geometry, natural language processing
Professors Emeriti:
Boris Stilman, PhD, National Research Institute for Electrical Engineering, Moscow, Russia
Computer Science (CSCI)
CSCI 1001 - Computer Forensics I (3 Credits)
Topics covered: how to conduct a computer forensic exam; how an individual can hide data on a computer; how the investigator can find that hidden data.This course will also incorporate hands-on learning through the use of a forensic software package.(Non-CS majors) Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 1200 - Fundamentals of Engineering Design Innovation (3 Credits)
This course introduces concepts of engineering design innovation at a variety of scales and disciplines. Participants will experience and explore core technology and design themes including design principles, processes, methods, modes of thinking, and social and cultural aspects or design. Cross-listed with CVEN 1200, ENGR 1200, MECH 1200, ELEC 1201 and IWKS 2100. Max hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 1350 - Introduction to Computing in Society (3 Credits)
This is an introductory course for individuals who would like to learn about the field of computer science, how modern computing is affecting society, and the basics of computer programming. We will explore how computing has changed society, how intertwined in our daily lives computer programs have become, and how these programs are created. We will explore these topics while learning the basics of computer programming with a modern programming language. Prereq: High School Algebra. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Additional Information: Denver Core Requirement, Biol Phys Sci - No Lab.
CSCI 1410 - Fundamentals of Computing (3 Credits)
First course in computing for those who will take additional computer science courses. Covers the capabilities of a computer, the elements of a modern programming language, and basic techniques for solving problems using a computer. Coreq: CSCI 1411. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Coreq: CSCI 1411.
CSCI 1411 - Fundamentals of Computing Laboratory (1 Credit)
CSCI 1510 - Logic Design (3 Credits)
The design and analysis of combinational and sequential logic circuits. Topics include binary and hexadecimal number systems, Boolean algebra and Boolean function minimization, and algorithmic state machines. Lecture/lab includes experiments with computer-aided design tools. This course requires the level of mathematical maturity of students ready for Calculus I. Max hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 1800 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
CSCI 2002 - Computer Forensics II (3 Credits)
This is a continuation of CSCI 1001 This course will cover: computer forensics for advanced operating systems (Mac, Linux, and Unix) and mobile device forensics. This course will incorporate hands-on-learning by utilizing a computer forensics software package. (Non CS majors) Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: CSCI 1001
CSCI 2132 - Circuits and Electronics (3 Credits)
This course is designed to serve as the basic course in CSE curriculum for second year bachelor students. It introduces the fundamentals of the analog and digit circuit abstraction and applications. Topics include: resistive elements, networks, sources, switches, MOS transistors, digital abstraction, amplifiers, energy storage elements. A web-based laboratory will allow students to have hands-on experiments. Prereq: MATH 2411, PHYS 2331, and CSCI 1510. Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 2312 - Object Oriented Programming (3 Credits)
Programming topics in a modern programming language. The emphasis is on problem solving using object oriented and Generic Programming. Topics include advanced I/O, classes, inheritance, polymorphism and virtual functions, abstract base classes, exception handling, templates, and the Standard Template Library. Prereq: Grade of C- or higher in the following courses: CSCI 1410 and CSCI 1411. Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 2421 - Data Structures and Program Design (3 Credits)
Topics include a first look at an algorithm, data structures, abstract data types, and basic techniques such as sorting, searching, and recursion. Programming exercises are assigned through the semester. Prereq: CSCI 2312 with a grade of C- or higher. Max hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: CSCI 2312 with a grade of C- or higher.
CSCI 2511 - Discrete Structures (3 Credits)
Covers the fundamentals of discrete mathematics, including: logic, sets, functions, asymptotics, mathematical reasoning, induction, combinatorics, discrete probability, relations and graphs. Emphasis on how discrete mathematics applies to computer science in general and algorithm analysis in particular. Prereq: MATH 1401 with a C- or higher (Calculus I). Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: MATH 1401 with a C- or higher
CSCI 2525 - Assembly Language and Computer Organization (3 Credits)
Topics include computer architecture, program execution at the hardware level, programming in assembly language, the assembly process, hardware support of some high-level language features, and a program's interface to the operating system. Programming exercises are assigned in this course. These exercises involve the use of specific hardware in designated laboratories. Prereq: Completion of CSCI 1510 and CSCI 2312 with a C- or higher. Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 2571 - Fundamentals of UNIX (3 Credits)
Introduces the UNIX operating system and its family of related utility programs. History and overview, versions, and common features. File operations, utilities, shells, editors, filters and data manipulation. Shell programming communications and networking, windowing environments, mail and Internet. Programming tools. Simple system administration. Credit will not count toward BSCSE degree. Prereq: Familiarity with operating systems and/or a programming course. Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 2800 - Special Topics (3 Credits)
Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 2940 - NAND to Tetris: Foundations of Computer Systems (3 Credits)
Introduces the principles of computer systems that underlie the global information age. Starting from first principles, students gradually construct a simple hardware platform and a modern software hierarchy, yielding a working basic yet powerful computer system. Only introductory programming experience is required. Prereq: Grade of C- or higher in the following courses: CSCI 1410 and CSCI 1411. Cross-listed with IWKS 3300. Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 2941 - Game Design and Development I (3 Credits)
Introduces principles of computer game development, building on the rich interplay of computer science, graphics design, physics, music, and narrative. Students develop interactive 2D and 3D games and a final project. Substantial software development involved, but requires only introductory programming experience. Prereq: Grade of C- or higher in the following courses: CSCI 1410 and CSCI 1411. Cross-listed with IWKS 3400. Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 2942 - IoT: The Internet of Things (3 Credits)
In a world where everything is connected to everything else, how does that work? This course introduces techniques for (1) designing systems that can sense the environment and respond to humans in meaningful ways and (2) creating networks of physical objects that collect and exchange data. Such systems might include wearable sensors, interactive art, and Internet-connected home devices. Working individually and in teams, students will develop projects using Inworks’ materials, devices, and fabrication tools. The course involves considerable prototyping and software development but requires only introductory programming and prototyping experience. Prereq: Grade of C- or higher in the following courses: CSCI 1410 and CSCI 1411. Cross-listed with IWKS 4120. Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 2980 - Foundations of Data Science (3 Credits)
First course in data science for those who are interested in understanding how given data about a real-world phenomenon, one can use computation with data to make discovery about that phenomenon. Combines three perspectives: inferential thinking, computational thinking, and real-world relevance. The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets. It also delves into social issues surrounding data analysis such as privacy. Note: This course cannot be used to fulfill computer science major requirements. Max credits: 3 Hours.
Grading Basis: Letter Grade
CSCI 3287 - Database System Concepts (3 Credits)
Introduces database design, database management systems, and the SQL standard database language. Includes data modeling techniques, conceptual database design, theory of object-relational and relational databases, relational algebra, relational calculus, normalization and database integrity. Prereq: Grade of C- or higher in the following courses: ENGL 1020, CSCI 2312 and CSCI 2421. Restriction: Restricted to Computer Science Majors and Minors and Cybersecurity Majors. Max hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 3310 - App Development for Mobile Devices (3 Credits)
This course introduces students to the concept of mobile computing with emphasis on developing application for mobile devices. In this course student will learn about tools used for developing apps for mobile devices, user interface design, application life cycle, creating data driven applications and connecting applications to web APIs. Prereq: CSCI 2312 and CSCI 2421 with a C- or higher. Restriction: Restricted to students in the CSCS-BA and CSCI-MIN programs only.
Grading Basis: Letter Grade
CSCI 3320 - Advanced Programming (3 Credits)
The course will cover a wide range of advanced programming topics via focusing on development of cross-platform applications.The focus will be on problem solving and developing applications with modern languages (such as C++, Java, Objective-C) & frameworks, including Xcode, Angularjs (with Javascript, HTML5, CSS), Phonegap, & Webstorm. Prereq: CSCI 2421. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: CSCI 2421 with a C- or higher.
CSCI 3412 - Algorithms (3 Credits)
Design and analysis of algorithms. Asymptotic analysis as a means of evaluating algorithm efficiency. The application of induction and other mathematical techniques for proving the correctness of an algorithm. Data structures for simplifying algorithm design, such as hash tables, heaps and search trees. Elementary graph algorithms. Assignments include written work and programming projects. Prereq: Grade of C- or higher in the following courses: CSCI 2312, 2421 and 2511. Restriction: Restricted to Computer Science Majors and Minors and Cybersecurity Majors. Max hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 3415 - Principles of Programming Languages (3 Credits)
Introduces programming language design concepts and implementation issues. Includes language concepts such as control structures and data types, formal language specification techniques, and syntactic and semantic implementation issues. Prereq: Grade of C- or higher in the following courses: CSCI 2312, CSCI 2421 and CSCI 2525. Restriction: Restricted to students in the CSCI-BS and CSCY-BS programs. Max hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 3453 - Operating System Concepts (3 Credits)
Covers the principles of computer operating systems and the essential components of an operating system. Topics include: I/O devices, file systems, CPU scheduling and memory management. Prereq: CSCI 2525 and CSCI 3412 with a C- or higher. Restriction: Restricted to students in the CSCI-BS, CSCY-BS, and CSSC-CERU programs. Max hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 3508 - Introduction to Software Engineering (3 Credits)
Introduces principles and practices of software engineering: software life-cycle models, requirements engineering, analysis and design tools, human factors risk management, program certification, project management and intellectual property rights. Prereq: Grade of C- or higher in CSCI 3412. Restriction: Restricted to Computer Science Majors and Minors. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: CSCI 3412 with a C- or higher. Restriction: Restricted to Computer Science Majors and Minors (CSCI-BS, CSCS-BA, CSCI-MIN).
CSCI 3511 - Hardware-Software Interface (3 Credits)
Hardware and software techniques needed to control and program device interfaces. Input and output devices, computer peripherals, device drivers and interfaces are introduced. Specific programmable devices are used in class projects. Prereq: CSCI 2525 with a C- or higher. Restriction: Restricted to students in the CSCI-BS program. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: CSCI 2525 with a C- or higher. Restriction: Restricted to students in the CSCI-BS program.
CSCI 3515 - Internet of Things: Sensing, Communication & Control (3 Credits)
The Internet of Things (IoT) is transforming our physical world into a complex and dynamic system of connected devices on an unprecedented scale. This course covers the basic components of IoT systems: sensing, communication, control, and power supply, as well as case studies on the design of real-world IoT applications, including voice authentication, activity monitoring, and battery management. This course integrates both the theories/science of IoTs and their hands-on implementation, as well as the basic practice of data collection, processing, analysis, and visualization. No credit with CSCI 3511. Prereq: CSCI 2312 and 2421 with a C- or higher. Restriction: Restricted to students in the CSCI-BS program. Max hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 3560 - Probability and Computing (3 Credits)
Events and probability. Discrete random variables. Moments of random variables. Conditional probability and expectation. The probabilistic method. Markov chains and random walks. Continuous distributions and the Poisson process. Entropy, randomness and information. Randomized algorithms. Prereq: Grade of a C- or higher in CSCI 2511 and MATH 2411. Restriction: Restricted to Computer Science Majors and Minors. Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 3740 - Computer Security (3 Credits)
Introduces basic knowledge from the computer security area. Topics covered in this course include: Cybersecurity Ethics, Penetration Testing, Secure Programming Practices, and Life-Cycle Security. Students will gain the understanding of ethics in cybersecurity with the tools for ethical decision making, learn methods of exploiting vulnerabilities and perform penetration testing on a simple network, understand the characteristics of secure programming with the ability to implement programs that are free from vulnerabilities, and understand security related concerns in a system Life-Cycle and how security principles can be applies to improve security throughout a system. Prereq: Grade of C- or higher in the following courses: CSCI 2312 and 2421. Restriction: Restricted to Computer Science Majors and Minors. Max hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 3751 - Fundamentals of UNIX (3 Credits)
Introduces the UNIX/Linux operating system and its family of related utility programs. History and overview, versions, and common features. Common basic commands, file and process operations, utilities, shells, intro the vi editor, filters, and data manipulation. Shell programming communications and networking, windowing environments (X window). Programming tools (gdb). Simple system administration. Prereq: Grade of C- or higher in CSCI 2312 and 2421. Restriction: Restricted to Computer Science Majors, Minors and CSSC Certificate. Max hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: Grade of C- or higher in CSCI 2312 and 2421. Restriction: Restricted to Computer Science Majors, Minors and CSSC Certificate.
Typically Offered: Fall.
CSCI 3761 - Introduction to Computer Networks (3 Credits)
Introduction and overview of computer networks. Topics include Internet protocols, network devices, network security, and performance issues. Prereq: Grade of C- or higher in CSCI 2312 and 2421. Restriction: Restricted to Computer Science Majors, Minors, Cybersecurity Majors, and CSSC Certificate. Max hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 3762 - Network Programming (3 Credits)
Network Programming. This class involves creating and implementing networking protocols that help students delve deeper into the concepts introduced in CSCI 3761. The course requires hands on sockets-based programming at the TCP and UDP level. The course explores and focuses on real-world networking problems. Prereq: Grade of C- or higher in CSCI 3761. Restriction: Restricted to Computer Science Majors, Minors and CSSC Certificate. Max hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: Grade of C- or higher in CSCI 3761. Restriction: Restricted to Computer Science Majors, Minors and CSSC Certificate.
Typically Offered: Spring.
CSCI 3800 - Special Topics (3 Credits)
Credit and subject matter to be arranged. Restriction: Restricted to Computer Science Majors and Minors. Repeatable. Max hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
Restricted to Computer Science Majors and Minors (CSCS-BA, CSCI-BS, CSCI-MIN, CMSC-MS)
CSCI 3810 - Special Topics (3 Credits)
Credit and subject matter to be arranged. Credit will not count toward BS Computer Science degree. Restriction: Restricted to BA Computer Science Majors (CSCS-BA). Repeatable. Max hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
Restriction: Restricted to BA Computer Science Majors.
Typically Offered: Fall, Spring.
CSCI 3840 - Independent Study: CSCI (1-3 Credits)
Restriction: Restricted to undergraduate Computer Science Majors and Minors. Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
Restricted to undergraduate Computer Science Majors and Minors.
CSCI 3910 - Web Development with PHP and MySQL Database (3 Credits)
This course introduces students to programming Web applications using PHP and MySQL database. Topics will include processing form data, file uploads, object oriented programming and database access. Students will also leverage a PHP framework and learn to install and configure a local development environment to test and develop their Web applications. This course is meant to be a hands-on course where students can apply what they learn as they learn it. Students will demonstrate mastery of the materials by applying the principles introduced in class to laboratory exercises, class discussions, and projects. Prereq: CSCI 3287 with a C- or higher. Restriction: Restricted to students in the CSCS-BA and CSCI-MIN programs. Max hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: CSCI 3287 with a C- or higher.
Restriction: Restricted to students in the CSCS-BA and CSCI-MIN programs.
Typically Offered: Fall.
CSCI 3916 - Web API (3 Credits)
JavaScript Web technologies for front-end development and back-end development. Building a full end to end solution with a mobile or web front-end, Web API and NoSQL database. Prereq: Grade of C- or higher in CSCI 2312 and 2421. Restriction: Restricted to Computer Science Majors and Minors. Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 3920 - Advanced Programming with Java and Python (3 Credits)
This course introduces the fundamental concepts to develop programs and projects using modern software engineering techniques using two different programming languages (Java and Python). It will cover and apply pattern design approaches, reusable components driven by everyday needs within many software developments, the relationships between object oriented programming concepts and software design concepts. It will dig deeper into techniques to program single threaded applications as well as advanced techniques to construct concurrent and distributed applications. Prereq: Grade of C- or higher in CSCI 2312 and 2421. Restriction: Restricted to Computer Science Majors and Minors. Max hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 3963 - Network Structures (3 Credits)
This interdisciplinary course examines how the technological, social and economic worlds are connected and how the study of networks sheds light on these connections. Topics include: how opinions spread through society; the robustness and fragility of financial networks; the technology and economics of Web information and on-line communities. Prereq: Grade of C- or higher in MATH 2411. Restriction: Restricted to Computer Science Majors and Minors. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: Grade of C- or higher in MATH 2411. Restricted to Computer Science Majors and Minors.
CSCI 4034 - Theoretical Foundations of Computer Science (3 Credits)
Introduces abstract models for computation, formal languages and machines. Topics include: automata theory, formal languages, grammars and Turing machines. Prereq: Grade of C- or higher in CSCI 3412. Restricted to Computer Science Majors, Minors, Cybersecurity Majors, and CSSC Certificate. Max hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: Grade of C- or higher in CSCI 3412. Restricted to Computer Science Majors, Minors, Cybersecurity Majors, and CSSC Certificate.
CSCI 4110 - Applied Number Theory (3 Credits)
Every year, Topics include divisibility, prime numbers, congruences, number theoretic functions, quadratic reciprocity, special diophantine equations, cryptography, computer security, and engineering applications. Cross-listed with CSCI 5110. Prereq: Grade of C- or higher in one of the following courses: MATH 3000 or CSCI 2511. Restriction: Restricted to Computer Science Majors and Minors. Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 4172 - Complexity and Problem Solving (3 Credits)
Theoretical and practical aspects of solving complex problems, in particular, but not limited to, NP-complete and PSPACE-complete problems. Various heuristic and approximation algorithms, including greedy, ant, and Genetic Algorithms will be studied. This course is by instructor's permission only. Prereq: Grade of C- or higher in CSCI 4034. Restriction: Restricted to Computer Science Majors and Minors. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: Grade of C- or higher in CSCI 4034. Restricted to Computer Science Majors and Minors.
CSCI 4173 - Computational Complexity and Problem Solving (3 Credits)
Solid, in-depth theoretical foundation in computing, computational complexity, and algorithmics. Additional topics include various algorithms for both discrete and non-discrete problem domains. Models of Computation, Computational Complexity, Time Complexity Classes, Space Complexity Classes, The Theory of NP-completeness. Prereq: Grade of C- or higher in CSCI 4034. Restriction: Restricted to Computer Science Majors and Minors. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: Grade of C- or higher in CSCI 4034. Restricted to Computer Science Majors and Minors.
CSCI 4202 - Introduction to Artificial Intelligence (3 Credits)
Topics include heuristic search, games playing algorithms, application of predicate calculus to AI, introduction to planning, application of formal grammars to AI. Prereq: Grade of C- or higher in CSCI 3412. Restriction: Restricted to Computer Science Majors and Minors. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: CSCI 3412 with a C- or higher. Restriction: Restricted to Computer Science Majors and Minors (CSCI-BS, CSCS-BA, CSCI-MIN).
CSCI 4203 - Simulation (3 Credits)
This class in simulation spans three different disciplines: Computer Science, Modeling and Simulation, and Analysis. These will have approximately equal weight with respect to this class, but with more breadth in the Modeling and Simulation and Analysis disciplines and more depth in the supporting Computer Science topics. Excursions are planned for agent-based simulations, knowledge-based simulations, and animation and visualization of simulation results. Prereq: CSCI 3412 with a C- or higher. Restriction: Restricted to Computer Science majors and minors. Cross-listed with CSCI 5203. Max hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: CSCI 3412 with a C- or higher. Restriction: Restricted to Computer Science Majors and Minors (CSCI-BS, CSCS-BA, CSCI-MIN).
Typically Offered: Fall.
CSCI 4211 - Mobile Computing and Programming (3 Credits)
This course contains two main simultaneous tracks, namely mobile computing and mobile programming. A series of lectures on various aspects of mobile computing provides an understanding of challenges and solutions in design and implementing mobile systems. The main topics include mobile sensing, human mobility and its technical implication. Prereq: Grade of C- or higher in CSCI 3453. Restriction: Restricted to Computer Science Majors and Minors. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: Grade of C- or higher in CSCI 3453. Restriction: Restricted to Computer Science Majors and Minors.
CSCI 4220 - Social Networks & Informatics (3 Credits)
The main topics covered by the course will include 1) social network data structures, 2) basic random graph models and graph algorithms; 3) recommendation systems and predictive models 4) query suggestion and content analysis 5) link analysis and community detection 6) the spread of information, disease, and influence on networks. This course builds a solid foundation in social informatics technology. Prereq: CSCI 3412. Restriction: Restricted to computer science majors and minors. Cross-listed with CSCI 5220. Max hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: CSCI 3412. Restriction: Restricted to computer science majors and minors. Programs restricted to: CSCI-BS, CSCS-BA, CSCI-MIN.
CSCI 4287 - Embedded Systems Programming (3 Credits)
Embedded Systems Programming happens across a spectrum of Domains. Embedded Systems Programming in the Small is characterized by the creation of small applications in high volumes. Embedded Systems Programming in the Large is characterized by the creation of medium to large applications in one-off or low volumes using specialized Operating Systems such as Real-time Operating Systems. Students will current languages, and are expected to have basic Operating Systems understanding. Prereq: Graded with C- or higher in CSCI 3453. Restriction: Restricted to Computer Science Majors and Minors. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: Grade of C- or higher in CSCI 3453. Restriction: Restricted to Computer Science Majors and Minors.
CSCI 4407 - Security & Cryptography (3 Credits)
A broad overview of cryptography and its relation to computer security. Topics include basic standard cryptographic techniques, a history of codes and ciphers, RSA, DES, AES, Elliptic Curve Cryptography, ElGammal, and applications to current and future technologies. Prereq: Grade of C- or higher in CSCI 3412. Restriction: Restricted to Computer Science Majors, Minors and CSSC Certificate. Cross-listed with CSCI 5407. Max hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: Grade of C- or higher in CSCI 3412. Restriction: Restricted to Computer Science Majors, Minors and CSSC Certificate.
CSCI 4408 - Applied Graph Theory (3 Credits)
Introduces discrete structures applications of graph theory to computer science, engineering and operations research. Topics include connectivity, coloring, trees, Euler and Hamiltonian paths and circuits. Matching and covering problems, shortest route and network flows. Prereq: Grade of C- or higher in one of the following courses: MATH 3000 or CSCI 2511. Restriction: Restricted to Computer Science Majors and Minors. Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 4411 - Computational Geometry (3 Credits)
Many practical and aesthetic algorithmic problems have their roots in geometry. Applications abound in the areas of computer graphics, robotics, computer-aided design, and geographic information systems, for example. A selection of topics from convex hull, art gallery problems, ray tracing, point location, motion planning, segment intersection, Voronoi diagrams, visibility and algorithmic folding will be covered. Cross-listed with CSCI 5411. Prereq: Grade of C- or higher in CSCI 3412. Restriction: Restricted to Computer Science Majors and Minors. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: CSCI 3412 with a C- or higher. Restriction: Restricted to Computer Science Majors and Minors (CSCI-BS, CSCS-BA, CSCI-MIN).
CSCI 4455 - Data Mining (3 Credits)
Introduces concepts, techniques and methodologies to discover patterns in data. Topics include (but are not limited to) data preprocessing and cleansing, data warehousing, pattern mining, classification, prediction, cluster analysis, outlier detection, and online data analytics. Prereq: Grade of C- or higher in the following coures: MATH 3195 (or both MATH 3191 and MATH 3200), CSCI 3287 and CSCI 3412. Restricted to Computer Science Majors and Minors. Cross-listed with CSCI 5455. Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 4501 - Java (3 Credits)
Comprehensive course on Java programming. Coverage of programming language constructs of Java and the core libraries that come with Java: coverage of advanced topics, including technologies for building distributed applications, and interacting with a database. Prereq: Grade of C- or higher in CSCI 2421. Restriction: Restricted to Computer Science Majors and Minors. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: Grade of C- or higher in CSCI 2421. Restricted to Computer Science Majors and Minors.
CSCI 4551 - Parallel & Distributed Computing (3 Credits)
Examines a range of topics involving parallel and distributed computing. Topics include language constructs for concurrency, work distribution, synchronization, and communication. Throughout, design of example scientific computing algorithms for parallel and distributed computation will be introduced. Prereq: Grade of C- or higher in Math 3195 (or both MATH 3191 and MATH 3200), CSCI 3415 & CSCI 3453. Restricted to Computer Science Majors and Minors. Max hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 4555 - Compiler Design (3 Credits)
Introduces the basic techniques used in translating programming languages: scanning, parsing, symbol table management, code generation, code optimization and error recovery. Prereq: Grade of C- or higher in CSCI 3412 and CSCI 3415. Restricted to Computer Science Majors and Minors. Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 4565 - Introduction to Computer Graphics (3 Credits)
Introduces two and three dimensional computer graphics. Topics include scan conversion, geometric primitives, transformation, viewing, basic rendering, and illumination. Emphasis is on programming using "C" and "C++" Open GL.
Prereq: Grade of C- or higher in CSCI 3412 and (MATH 3191 or MATH 3195). Restriction: Restricted to Computer Science Majors and Minors. Cross-listed with CSCI 5565. Max hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 4570 - Virtual and Augmented Reality (3 Credits)
This course covers the fundamental concepts and technologies of virtual and augmented reality, and it introduces recent advances in the field. Topics include 3D user interaction, immersive environments, tele-presence, mobile AR, human perception, and VR/AR applications. Restricted to computer science majors and minors. Pre-requisite: CSCI 3412. Cross-listed with CSCI 5570. Max hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: CSCI 3412. Restriction: Restricted to computer science majors and minors. Programs restricted to: CSCI-BS, CSCS-BA, CSCI-MIN.
CSCI 4580 - Data Science (3 Credits)
Introduces concepts and techniques that enable data cycle from data extraction to knowledge discovery, including but not limited to data exploration, hypotheses testing, data organization, data featurization, supervised and unsupervised data modeling and learning, scaling-up analytics, and data visualization. Prereq: Grade of C- or higher in MATH 3195 (or both MATH 3191 and MATH 3200), CSCI 3287 and CSCI 3412. Restricted to Computer Science Majors & Minors. Cross-listed with CSCI 5580. Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 4591 - Computer Architecture (3 Credits)
Deals with how assembly language maps to hardware, and basic hardware techniques implemented in computers. Topics include logic design of arithmetic units, data control path processor logic, pipelining, memory systems, and input-output units. The emphasis is on logic structure rather than electronic circuitry. Students must know basic control logic design and be familiar with an assembly language before taking this course. Prereq: CSCI 2525 with a C- or higher. Restriction: Restricted to students in the CSCI-BS program. Max hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: CSCI 2525 with a C- or higher. Restriction: Restricted to students in the CSCI-BS program.
CSCI 4620 - Computational Motor Control (3 Credits)
This course introduces techniques for the modeling, simulation and control of movement. These techniques come from computer graphics, robotics and machine learning. The topics that we will cover include robot modeling, trajectory optimization, feedback control, deep reinforcement learning, the neuroscience of movement, and neural network models of the brain. At the end of the course, students will learn how train control policies for virtual agents in computer animation or robotics applications. Prereq: Grade of C- or higher in CSCI 3412 & familiarity with Linear Algebra. Restriction: Restricted to Computer Science Majors and Minors. Cross-listed with CSCI 5620. Max hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: CSCI 3412 with a C- or higher. Restriction: Restricted to Computer Science Majors and Minors (CSCI-BS, CSCS-BA, CSCI-MIN).
CSCI 4625 - Computer Vision (3 Credits)
An introduction to computer vision (no prior background in vision required). Topics include camera models, multi-view geometry, image processing, feature detection, motion estimation, shape reconstruction and applications of deep learning. Prereq: CSCI 3412 with a C- or higher. Restriction: Restricted to students in the CSCI-BS, CSCS-BA and CSCI-MIN programs. Max hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: CSCI 3412. Restriction: Restricted to computer science majors and minors. Programs restricted to: CSCI-BS, CSCS-BA, CSCI-MIN.
Typically Offered: Fall.
CSCI 4630 - Linguistic Geometry (3 Credits)
Linguistic Geometry (LG) is a type of Game Theory in Artificial Intelligence, which permits to overcome combinatorial explosion and generate optimal strategies in real time. LG is currently changing the paradigm of military command and control in the USA and abroad. Prereq: Grade of C- or higher in CSCI 3412. Restriction: Restricted to Computer Science Majors and Minors. Cross-listed with CSCI 5619. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: CSCI 3412 with a C- or higher. Restriction: Restricted to Computer Science Majors and Minors (CSCI-BS, CSCS-BA, CSCI-MIN).
CSCI 4640 - Universal Compiler: Theory and Construction (3 Credits)
Theoretical foundations and step-by-step hands-on experience in the development of a compiler, which can tune itself to a new programming language. This is a must-take course for future software developers as well as those interested in applications of the theory of Computer Science. Cross-listed with CSCI 5640. Prereq: Grade of C- or higher in CSCI 3453. Restriction: Restricted to Computer Science Majors and Minors. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: Grade of C- or higher in CSCI 3453. Restriction: Restricted to Computer Science Majors and Minors.
CSCI 4650 - Numerical Analysis I (3 Credits)
A first semester course in numerical methods and analysis fundamental to many algorithms encountered in scientific computing, data science, machine learning, and computational models in science and engineering. Rounding errors and numerical stability of algorithms; solution of linear and nonlinear equations; data modeling with interpolation and least-squares; and optimization methods. This course assumes that students have the equivalent of differential and integral calculus (e.g., MATH 2411), linear algebra (e.g., MATH 3191 or 3195), and computer programming (e.g., MATH 1376 or CSCI 1410). Prereq: MATH 3191 or MATH 3195 with a C- or higher. Cross-listed with CSCI 5660, MATH 4650, and MATH 5660. Term offered: fall, spring, summer. Max hours: 3 Credits.
Grading Basis: Letter Grade
Typically Offered: Fall, Spring, Summer.
CSCI 4660 - Numerical Analysis II (3 Credits)
A second semester course in numerical methods and analysis fundamental to many algorithms encountered in scientific computing, data science, machine learning, and computational models in science and engineering. Numerical differentiation and integration; random numbers and stochastic modeling; Fast Fourier Transform; data compression; eigenvalues and singular value decompositions with application to regression and dimension reduction. This course assumes that students have the equivalent of differential and integral calculus (e.g., MATH 2411), linear algebra (e.g., MATH 3191 or 3195), and computer programming (e.g., MATH 1376 or CS 1410). Restricted to Computer Science Majors. Cross-listed with CSCI 5661, MATH 4660 and 5661. Term offered; fall. Max hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: Grade of C- or higher in MATH 3195 (or both MATH 3191 and MATH 3200), MATH or CSCI 4650 or 5660 and programming experience. Restricted to Computer Science Majors.
Typically Offered: Fall.
CSCI 4702 - Big Data Mining (3 Credits)
Introduces techniques to discover patterns in Big Data. Selected topics: scalable high-dimensional data clustering, scalable dimensionality reduction, locality sensitive hashing, PageRank, scalable data stream filtering and querying, and scalable classification, in the context of different applications such as Social Network Analysis, Spam Detection, Association Rule Analysis, and Recommender Systems. Prereq: C- or higher in CSCI 3287, CSCI 3412 & MATH 3195. Restriction: Restricted to students in a computer science major or minor. Cross-listed with CSCI 5702 and CSCI 7702. Max hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: C- or higher in CSCI 3287, CSCI 3412 MATH 3195. Restriction: Restricted to students in a computer science major or minor.
Typically Offered: Fall.
CSCI 4738 - Senior Design I (3 Credits)
This is an advanced practical course in which students design, implement, and document and test software systems for use in industry, non-profits, government and research institutions. The course offers practical experience by working closely with project sponsors. It also offers extensive experience in oral and written communication throughout the software life cycle. Prereq: Grade of C- or higher in CSCI 3287, CSCI 3415, CSCI 3453, and CSCI 3508. Restriction: Restricted to Computer Science Majors. Max hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 4739 - Senior Design II (3 Credits)
This course is a continuation of Senior Design I. Students must have taken Senior Design I in order to enroll for Senior Design II. In this course, the projects begun in Senior Design I are completed and presented. Prereq: CSCI 4738. Restricted to undergraduate Computer Science Majors. Max hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: Grade of C- or higher in CSCI 4738. Restricted to Computer Science Majors (CSCI-BS).
CSCI 4741 - Principles of Cybersecurity (3 Credits)
Focuses on the most common threats to cybersecurity as well as ways to prevent security breaches or information loss. Topics will include: understanding and thwarting hacker methods, authentication, cryptography, programming security, malware analysis, web, database and file server security, network and enterprise security methods. Prereq: Grade of C- or higher in CSCI 3761. Restriction: Restricted to Computer Science Majors, Minors and CSSC Certificate. Max hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: Grade of C- or higher in CSCI 3761. Restriction: Restricted to Computer Science Majors, Minors and CSSC Certificate.
CSCI 4742 - Cybersecurity Programming and Analysis (3 Credits)
Focuses on cybersecurity related programming and analysis skills. Topics include: network and security application development, intrusion detection, automating security hardening. Students will design and develop security applications in multiple programming languages. Undergraduate algorithms and programming knowledge expected. Pre-Req: CSCI 3415. Restricted to undergraduate Computer Science Majors and Minors. Cross-listed with CSCI 5742. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: Grade of C- or higher in CSCI 3415. Restriction: Restricted to Computer Science Majors and Minors.
CSCI 4743 - Cyber and Infrastructure Defense (3 Credits)
Presents analytical study of state-of-the-art attack and defense paradigms in cyber systems and infrastructures. Analysis will focus on: theoretical foundations of cybersecurity, practical development of novel technical defense techniques and analysis of alternatives. Knowledge of undergraduate-level networking. Cross-listed with CSCI 5743. Prereq: Grade of C- or higher in CSCI 3761. Restriction: Restricted to Computer Science Majors, Minors and CSSC Certificate. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: Grade of C- or higher in CSCI 3761. Restricted to Computer Science Majors, Minors and CSSC Certificate.
CSCI 4771 - Introduction to Mobile Computing (3 Credits)
Provides an in-depth understanding of the fundamentals in mobile computing and studies the existing and proposed solutions for ubiquitous computing. This course focuses on systems and networking issues involved with supporting mobility. Prereq: Grade of C- or higher in CSCI 3453 and CSCI 3761. Restricted to Computer Science Majors and Minors. Cross-listed with CSCI 5771. Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 4772 - Mobile and IoT Security (3 Credits)
This course concentrates on the computing of emerging mobile and IoT systems security in the Computer Science domain. The seminar will discuss recent research on computing for mobile user authentication, vulnerability risk detection of mobile/IoT systems, and software based defense mechanism. Prereq: Grade of C- or higher in CSCI 3453 and 3761. Restriction: Restricted to undergraduate Computer Science Majors and Minors. Cross-listed with CSCI 5772. Max hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 4773 - Introduction to Emerging System Security (3 Credits)
This course concentrates on the security of the emerging system in the Computer Science domain. It focuses on radically novel systems, relatively fast-growing and potentially exerting a considerable impact on society, such as mobile systems, AI systems, and quantum systems. The security topics cover adversarial attacks, side/covert-channel attacks, covert-channel attacks, user authentication, biometrics, vulnerability risk detection, and defense countermeasure. Prereq: Grade of C- or higher in CSCI 3453 and CSCI 3761. Restriction: Restricted to Computer Science Majors and Minors, and Cybersecurity Majors. Cross-listed with CSCI 5773. Max hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 4788 - Bioinformatics (3 Credits)
Provides a broad exposure to the basic concepts and methodologies of bioinformatics and their application to analyzing genomic and proteomic data. Topics may include dynamic programming algorithms, graph theoretic techniques, hidden Markov models, phylogenetic trees, RNA/protein structure prediction and microarray analysis. Cross-listed with MATH 4788, PHYS 4788. Prereq: Grade of C- or higher in CSCI 1410, CSCI 1411 and MATH 3195 or 3191. Restriction: Restricted to Computer Science Majors and Minors. Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 4800 - Special Topics (3 Credits)
Credit and subject matter to be arranged. Restriction: Restricted to Computer Science Majors and Minors. Repeatable. Max hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
Restricted to Computer Science Majors and Minors (CSCS-BA, CSCI-BS, CSCI-MIN, CMSC-MS)
CSCI 4810 - Special Topics (3 Credits)
Credit and subject matter to be arranged. Credit will not count toward BSCS degree. Restriction: Restricted to BA Computer Science Majors (CSCS-BA). Repeatable. Max hours: 9 Credits. Max hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
Restriction: Restricted to BA Computer Science Majors.
Typically Offered: Fall, Spring.
CSCI 4840 - Independent Study (3 Credits)
Restricted to undergraduate Computer Science Majors and Minors with senior standing. Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
Restricted to undergraduate Computer Science Majors and Minors with senior standing.
CSCI 4866 - Advanced Mobile and Ubiquitous Systems (3 Credits)
This course covers various aspects of mobile and ubiquitous systems to provide an in-depth understanding of principles, state-of-the-art solutions and challenges in design and implementation of such systems. Prereq: Grade of C- or higher in CSCI 3453 and 3761. Restriction: Restricted to undergraduate Computer Science Majors and Minors. Cross-listed with CSCI 5866. Max hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 4910 - User Experience Design (3 Credits)
A how-to course for any technologist who has endured difficult interfaces and wants to design effective user interfaces that respect and advance the user experience. Course includes: Psychology, HCI personas, scenarios, prototyping, and evaluation for desktop and mobile applications. Prereq: Grade of C- or higher in CSCI 2421. Restriction: Restricted to Computer Science Majors and Minors. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: Grade of C- or higher in CSCI 2421. Restricted to Computer Science Majors and Minors.
CSCI 4920 - Computer Game Design and Programming (3 Credits)
Computer Game Design and Programming introduces practical and example driven approaches to modern 3D game development. Topics include 3D modeling, character animation, UI design, scripting, texture mapping, and sound effect. Prereq: Grade of C- or higher in CSCI 3412. Restriction: Restricted to Computer Science Majors and Minors. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: CSCI 3412 with a C- or higher. Restriction: Restricted to Computer Science Majors and Minors (CSCI-BS, CSCS-BA, CSCI-MIN).
CSCI 4929 - Internship (3 Credits)
Faculty and employer-supervised employment in industry. Enrollment is limited to students who fully complete a contract for cooperative education credit by the last day of the drop or add period. Prereq: CSCI 3508 and cumulative GPA of 2.75 or higher. Restricted to undergraduate students in the Bachelors of Arts in Computer Science Program (CSCS-BA). Max hours: 3 Credits.
Grading Basis: Letter Grade
Prereq: CSCI 3508 and cumulative GPA of 2.75 or higher. Restricted to undergraduate students in the Bachelors of Arts in Computer Science Program (CSCS-BA).
CSCI 4930 - Machine Learning (3 Credits)
Provides theoretical and computational foundations in machine learning to design and develop intelligent applications to perform object recognition, personalized recommendations, improve cybersecurity, fact-checking, forecasting and finding communities based on three classes of algorithms: supervised, unsupervised, semi-supervised and reinforcement learning. Prereq: Grade of C- or higher in the following courses: MATH 3195 (or both MATH 3191 and MATH 3200) & CSCI 3412. Restricted to Computer Science Majors and Minors. Cross-listed with CSCI 5930. Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 4931 - Deep Learning (3 Credits)
Provides a foundation on deep learning; a sought-after skill in machine learning. Topics include neural network design & learning, restricted Boltzmann machine, convolution neural network, recurrent neural network, LSTMs, deep reinforcement learning, autoencoders, and evolving computation frameworks like TensorFlow, Keras. Prereq: Grade of C- or higher in MATH 3195 (or both MATH 3191 and MATH 3200) and CSCI 3412. Restricted to Computer Science Majors and Minors. Cross-listed with CSCI 5931. Max Hours: 3 Credits.
Grading Basis: Letter Grade
CSCI 4939 - Internship (3 Credits)
Faculty or employer-supervised employment in industry. Enrollment is limited to students who fully completed a contract for cooperative education credit by the last day of the drop or add period. Prereq: Grade of C- or higher in CSCI 3415 and cumulative GPA of 2.75 or higher. Restriction: Restricted to Computer Science Majors and Minors. Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
Prereq: Grade of C- or higher in CSCI 3415 and cumulative GPA of 2.75 or higher. Restriction: Restricted to Computer Science Majors and Minors.
CSCI 4951 - Big Data Systems (3 Credits)
Presents a practical while in-depth review of the principles of a series of modern data processing systems (e.g., Hadoop, Spark, TensorFlow) designed to address the Big Data challenges. In combination, these systems enable the data to knowledge (Big) data lifecycle. Prereq: Grade of C- or higher in MATH 3195 (or MATH 3191 and MATH 3200), CSCI 3287 and CSCI 3412. Restriction: Restricted to Computer Science Majors and Minors. Cross-listed with CSCI 5951. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Engineering (ENGR)
ENGR 1000 - Introduction to Engineering (1 Credit)
Introduces engineering profession, engineering design and practice; and the tools used by engineers to accomplish design. The specialties within engineering are described. Students are involved in application projects and use word processors, spreadsheets and engineering software. Note: ENGR 1000 cannot be substituted for ELEC 1201. Prereq: High school trigonometry. Repeatable. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 3.
ENGR 1100 - Fundamentals of Computational Innovation (3 Credits)
Provides a foundation in computational thinking and practices. Students learn to take advantage of computational power in problem solving by writing simple programs, studying the underlying logic of hardware, and working with a variety of technologies. Cross-listed with IWKS 2300 and MECH 1100. Max hours: 3 Credits.
Grading Basis: Letter Grade
ENGR 1111 - Psychological and Social Implications of Technology (3 Credits)
This course will explore the impact of technology and its advances on human beings from an emotional, psychological, and social perspective. Discussions will include ethical, moral, and multicultural implications of technological advances from a global perspective and will require students to critically analyze issues that arise from such advances. Max Hours: 3 Credits.
Grading Basis: Letter Grade
Restriction: Restricted to majors with 12 credit hours or less at CU Denver.
ENGR 1130 - Chemistry for Engineers (5 Credits)
An introductory lecture and recitation course designed to meet the general chemistry requirement for engineering students. Topics include atoms, molecules, moles, stoichiometry, chemical bonding, atomic & molecular structures, thermodynamics and kinetics. The course will highlight the application of chemistry to engineering disciplines. Note: Suggested background of one year of high school chemistry or CHEM 1000 and MATH 1110 (or high school equivalent) strongly recommended. Max Hours: 5 Credits.
Grading Basis: Letter Grade
ENGR 1200 - Fundamentals of Engineering Design Innovation (3 Credits)
This course introduces concepts of engineering design innovation at a variety of scales and disciplines. Participants will experience and explore core technology and design themes including design principles, processes, methods, modes of thinking, and social and cultural aspects or design. Cross-listed with CSCI 1200, CVEN 1200, MECH 1200, ELEC 1201 and IWKS 2100. Max hours: 3 Credits.
Grading Basis: Letter Grade
ENGR 1208 - Special Topics (3 Credits)
Restriction: Restricted to Engineering and pre-engineering students only. Repeatable. Max hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
Restriction: Restricted to Engineering and pre-engineering students only.
ENGR 1218 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 1228 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 1238 - Special Topics (1-3 Credits)
Repeatable. Max hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 1248 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 1258 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 1268 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 1278 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 1288 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 1298 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 2208 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 2218 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 2228 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 2238 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 2248 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 2258 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 2268 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 2278 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 2288 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 2298 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 3208 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 3218 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 3228 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 3238 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 3248 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 3258 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 3268 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 3278 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 3288 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 3298 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 3400 - Technology and Culture (3 Credits)
Explores the cultural and political foundations of technology and the impact of technology upon the individual and society. Contributions to technological advances and the impact of technology on women and diverse ethnic groups are examined in the context of specific engineering designs and case studies. (Satisfies the multicultural diversity requirement of the UCDHSC core curriculum). Max hours: 3 Credits.
Grading Basis: Letter Grade
Additional Information: Denver Core Requirement, Cultural Diversity.
ENGR 3600 - International Dimensions of Technology and Culture (3 Credits)
This course provides students with an understanding of how science, technology and international issues interrelate in a world that has become more interconnected and interdependent. The course will focus on the technical, organizational and cultural aspects of information and other technologies with an emphasis on their impact on third world countries. (Satisfies the international perspectives requirement of the UCDHSC core curriculum). Max hours: 3 Credits.
Grading Basis: Letter Grade
Additional Information: Denver Core Requirement, International Perspectives.
ENGR 3995 - Global Technology, Business & Culture (3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
Typically Offered: Summer.
ENGR 4150 - Seminar: Special Topics in Engineering (1 Credit)
A flexible seminar format dealing with topics of special interest in engineering. Topics vary from semester to semester. Prereq: Senior standing. Cross-listed with ENGR 5150 and 7150. Max hours: 1 Credit.
Grading Basis: Letter Grade
Restriction: Restricted to senior standing or higher
Typically Offered: Fall, Spring.
ENGR 4208 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 4218 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 4228 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 4238 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 4248 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 4258 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 4268 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 4278 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 4288 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 4298 - Special Topics (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.
ENGR 4800 - Science Engineering and Culture for Undergraduates (3 Credits)
Course for undergraduate international and limited English proficient (LEP) students to improve success in science and engineering degree programs through senior research paper writing , advanced STEM English skills and cross cultural training. Repeatable. Max Hours: 6 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 6.
ENGR 4840 - Independent Study (1-3 Credits)
Repeatable. Max Hours: 9 Credits.
Grading Basis: Letter Grade
Repeatable. Max Credits: 9.