|
|
2019-2020 Undergraduate Catalog [ARCHIVED CATALOG]
Course Descriptions
|
|
|
This section of the Catalog includes course descriptions, listed alphabetically by discipline. The descriptions provide information on course numbers, titles, the level of instruction, credit, course sequence, content, and prerequisites as shown in the following example:
CHE 2100 Introduction to Organic and Biological Chemistry
Credits: 5
Prerequisite: CHE 1100
Description: A study of the elements of organic and biological chemistry. This course satisfies requirements for nursing programs and other fields requiring a survey of organic and biological chemistry.
The first two to four letters, called the course subject code, represent the area of study or discipline, e.g., CHE represents chemistry. The course number follows the course subject code, e.g., 2100. The first digit in a four-digit course number designates the level of instruction. Only courses numbered 1000 or above will be included in credits toward a degree. Courses with numbers up to and including 1999 are primarily for freshmen, 2000 through 2999 primarily for sophomores, 3000 through 3999 primarily for juniors, and 4000 through 4999 primarily for seniors. In general, students should not take courses above the level of their class (based upon semester hours earned), but they may do so at one level above if they have the specified prerequisites. In special cases, students may be permitted to take courses more than one level above that designated for their class if they obtain the permission of their advisor and of the faculty member teaching the course and if they meet the prerequisite requirements. Course descriptions provide a summary of the content of the course. If a prerequisite must be met before a student can register for a course, this information is listed above the course description. Attributes, such as Multicultural, General Studies, or Guaranteed Transfer, are listed after the course description. A list of courses being offered in a given semester, instructors, class meeting times, and locations is described in the Class Schedule.
Types of Courses
- Regular courses appear in this section of the University Catalog and are offered on a regular basis.
- Independent study courses provide students the opportunity to pursue in-depth study of a topic of special interest. Independent study courses are specified as 498_ and include an alpha character in the course number. Independent study courses are published in the Class Schedule.
- Special topics or omnibus courses are temporary courses that are not listed in the Catalog. They may be used to pilot-test a course, present a special topic, or provide a unique, experiential-learning opportunity. Omnibus courses use a specified range of course numbers: 190_, 290_, 390_, 490_ and include an alpha character in the course number. Omnibus courses are published in the Class Schedule.
- Variable topics courses allow courses of varying titles under an overall theme or “umbrella” course. Variable topic courses include an alpha character in the course number and are published in the Class Schedule.
|
| |
Computer Information Systems |
| |
-
CIS 2110 - Structured Problem Solving in Information Systems
Credits: 3
Prerequisite(s): CIS 2010
Description: This is a problem-solving course in which the tools of structured design are used to design computerized solutions to business problems. Techniques of procedural programming languages are used to implement these designs. Emphasis is placed on the implementation of the three logic constructs in procedural languages: sequence, selection, and iteration. Students will be required to develop, test, and debug programs in one or more languages, using a variety of hardware and operating system platforms.
|
| |
-
CIS 2300 - Business Statistics
Credits: 3
Prerequisite(s): MTH 1320
Description: This is a course in the application of statistical inference and translation of quantitative data into information which can be used in business decision-making. This course will cover the topics of descriptive statistics, probability theory, probability distributions, sampling distributions, point estimates, confidence intervals, and tests of hypotheses, in the context of management decision-making skills needed by industry.
|
| |
-
CIS 2500 - Security Essentials
Credits: 3
Prerequisite(s): CIS 2010
Description: This course is designed to teach the principles and practices that all computing users need to keep sensitive information secure, both at work and at home. By introducing students to security theory and presenting best practices, the course will show students both the importance of protecting data and the associated techniques. Topics covered include how to secure systems, protecting personal data, organizational resources, securing computer networks, how to handle risks and ethical dilemmas, computer crime, policies and laws, and how to implement safe Internet usage. This course is not intended for CIS and CYB majors.
|
| |
-
CIS 3030 - Business Web Page Development
Credits: 3
Prerequisite(s): CIS 2110
Description: This is a course in business Web page development. Specifically, the student will learn how to plan the development of a Web site, compose Web site specifications, apply coding to the development of any kind of Web site, and find and use development resources. The student will use a leading code-centric text editor to aid in all course Web page development projects. The student will also be introduced to a leading graphical editing tool for supplemental use.
|
| |
-
CIS 3050 - Fundamentals of Systems Analysis and Design
Credits: 3
Prerequisite(s): CIS 2110
Description: This course covers the basic concepts of an information system and systems analysis tools and techniques necessary to develop requirements for a business information system. Students will concentrate on systems analysis using current methodologies, technologies, and available tools of analysis, as well as an examination of the effect on systems analysis by business drivers such as globalization, security, privacy, ethics, and collaboration. The course will focus on the analysis phase including requirements definition, modeling, feasibility, project planning and management, and documentation.
|
| |
-
CIS 3060 - Database Management Systems
Credits: 3
Prerequisite(s): CIS 2110
Description: This course provides an introduction to the design, development, implementation, and manipulation of databases. Students will create information level database designs from a set of user requirements and implement those designs employing a 4GL database tool. Students will also be introduced to distributed database management, concurrency control, data warehousing, and data mining.
|
| |
-
CIS 3145 - Business Application Development
Credits: 3
Prerequisite(s): CIS 2110
Description: This course uses the Java programming language for the development of object-oriented, event-driven Graphical User Interface (GUI) business applications. Students use Java as an iterative software development tool to create web and stand-alone solutions for business problems. Students also complete a final multi-window application project, which includes problem analysis, program design, solution development, and implementation plans.
|
| |
-
CIS 3220 - Analysis of Hardware, Software, and User Interfaces for Microcomputer Platforms
Credits: 3
Prerequisite(s): CIS 2110
Description: The course develops a conceptual understanding of the underlying principles of computer systems hardware, operating systems software and associated use interfaces. These concepts are then applied to the problem of selecting and implementing microcomputer based systems to solve appropriate business problems.
|
| |
-
CIS 3230 - Telecommunication Systems and Networking
Credits: 3
Prerequisite(s): CIS 2110
Description: This course provides a comprehensive coverage of telecommunications and networking. Physical characteristics such as media and signaling are covered, as well as internetworking concepts and Transmission Control Protocol/Internet Protocol (TCP/IP). The material is discussed using the Open Systems Interconnection (OSI) and TCP/IP models as a framework.
|
| |
-
CIS 3270 - Advanced Computer Applications for Business
Credits: 3
Prerequisite(s): CIS 2010
Description: This is a software solutions microcomputer course that teaches problem solving at the business operational level using advanced applications of word processing, presentation graphics, electronic spreadsheets, and database management. Hands-on practice with the advanced Microsoft application suite and computer-based examinations are included.
|
| |
-
CIS 3280 - LAN and WAN Systems for Business
Credits: 3
Prerequisite(s): CIS 3230
Description: This course presents the technology, architecture, and interconnection of Local Area Networks and Wide Area Networks. The advantages and disadvantages of each technology will be discussed so that well-informed decisions can be made regarding the design of communication networks.
|
| |
-
CIS 3290 - Operating Systems for End Users
Credits: 3
Prerequisite(s): CIS 2010 and CIS 2110
Description: This is an end-user-oriented microcomputer operating systems course which teaches advanced concepts of the most popular operating systems, both networked and stand-alone. The course includes instruction in theory plus hands-on experience with each operating system.
|
| |
-
CIS 3300 - Business Analytics I (Descriptive and Predictive)
Credits: 3
Prerequisite(s): ENG 1020 or ENG 1021; completion of General Studies requirements in Oral Communication; C- or better in MTH 1320 or MTH 1410; CIS 2010 or CIS 2300; and at least junior standing.
Description: This business analytics course introduces the student to descriptive analytics and predictive analytics. Techniques include the applications of statistical inference and the translation of quantitative data into information that can be used in business decision making. This course covers the topics of frequency distributions, descriptive statistics, probability distributions, sampling distributions, point estimation, confidence interval estimation, hypothesis testing, analysis of variance, chi-square analysis, regression analysis, model building, and data mining. A specific statistical package is required.
|
| |
-
CIS 3310 - Business Forecasting Methods
Credits: 3
Prerequisite(s): CIS 3300 and Junior Standing
Description: This course introduces the student to both quantitative and qualitative forecasting techniques used in the public and private sectors. Software packages are used to perform the calculations for the quantitative forecasting techniques. Much emphasis is placed on real-world case problems.
|
| |
-
CIS 3320 - Business Analytics II (Prescriptive)
Credits: 3
Prerequisite(s): ENG 1020 or ENG 1021; completion of General Studies requirements in Oral Communication; “C-” or better in MTH 1320 or MTH 1410; CIS 3300; and at least junior standing.
Description: This business analytics course introduces the student to prescriptive analytics that can be used in the business decision-making environment. The management science techniques presented and studied include linear programming, project scheduling, inventory models, decision analysis, queuing theory, simulation, and forecasting in the context of managerial decision-making skills. Emphasis is placed on the use of software to solve real-world problems.
|
| |
-
CIS 3340 - Advanced Business Statistics
Credits: 3
Prerequisite(s): CIS 2300
Description: This course is a study of advanced statistical methods and techniques and their application in business decision-making situations. This course will cover the following topics: inferences about population variances, tests of goodness of fit and independence, analysis of variance, experimental design, simple linear regression, multiple regression analysis, regression model building, forecasting, and nonparametric methods.
|
| |
-
CIS 3350 - Knowledge Discovery and Data Mining
Credits: 3
Prerequisite(s): CIS 3300 and at least junior standing
Description: This course provides students with a theoretical and practical understanding of data mining concepts and techniques; and hands-on experience in applying these techniques to practical real-word business problems using commercial data mining software. As an applied course, the emphasis is on application and interpretation of various data-mining methods using business cases and data rather than on mastering the theoretical underpinnings of the techniques.
|
| |
-
CIS 3460 - Data Warehousing and Mining
Credits: 3
Prerequisite(s): CIS 3300 and CIS 3060 or ACC 3300
Description: This course covers the concepts of data warehousing and data mining, and how they are used to convert data into strategic business information. It discusses the design, architecture, planning, and project management of a data warehouse. Data mining techniques (classification, association, genetic algorithms, machine learning, etc.) are discussed as a way to discover useful relationships among data.
|
| |
-
CIS 3490 - Managing Business Information with Enterprise Systems
Credits: 3
Prerequisite(s): CIS 2010
Description: Students gain an understanding of the theoretical and practical issues of Enterprise Resource Planning (ERP) systems used within organizations. The course demonstrates how ERP systems integrate information and organizational processes across functional areas with a unified database, best practices and shared operating tools. Students will configure a running ERP system (e.g. SAP), execute transactions and produce reports for supporting common business processes and business information management. Students will be able to evaluate how ERP systems enable firms to operate their business processes effectively and efficiently. Students also learn to model, assess and improve processes through practical work and by analyzing case studies.
|
| |
-
CIS 3500 - Information Systems Security
Credits: 3
Prerequisite(s): CIS 3230
Description: This course covers a broad range of topics in security for networked and internetworked computer systems. It examines security and integrity objectives in terms of high-level policy and presents security services used to address those requirements. Network security architectures are analyzed to insure that critical security functions are protected from unauthorized access and modification. Access control in networked systems is examined.
|
| |
|
| |
-
CIS 4030 - Web Site Administration
Credits: 3
Prerequisite(s): CIS 3030
Description: This course presents the fundamentals of organizing and administering a business Web site with multiple clients. Students will learn how to design effective, business-oriented Web pages. They will be able to give advice to the users, describe how to put Web pages on a server, how to organize the published information, how to plan a business Web site, specify the hardware, choose the daemon, and install and configure a server. In addition, the course will cover the security issues of the internet access, the different protection techniques, how to maintain a site, content and interpretation of the log files, and tools and techniques required to run an effective business site.
|
| |
-
CIS 4050 - Systems Analysis and Design
Credits: 3
Prerequisite(s): CIS 3050, CIS 3060, CIS 3145, CIS 3230, CIS 3500, and Senior standing
Description: This course focuses on the development of business systems. The emphasis of this course is on the design and prototyping phases of systems development using as a basis the concepts of problem solving, requirements specification, analysis, and programming from the prerequisite courses. Current methodologies and technologies will be evaluated and implemented in the development process. Information systems problems will be analyzed and alternative solutions will be proposed using design models, a solution will be selected, and a prototype will be constructed for that solution. Students will evaluate the system using tests they developed and then propose a plan for implementation, maintenance, and training for the system.
University Requirement(s): Senior Experience
|
| |
-
CIS 4060 - Advanced Database Management Systems
Credits: 3
Prerequisite(s): CIS 3060 and CIS 3145
Description: This course provides an in-depth understanding of database management systems by extending the database concepts and programming skills developed in prerequisite courses. The student will be presented with a variety of realistic business problems and be asked to produce functional solutions to these problems. The course will use the Oracle Developer 2000 or similar software to drive the design and development of business application software.
|
| |
-
CIS 4160 - Advanced Programming Seminar
Credits: 3
Prerequisite(s): CIS 3060 and CIS 3145
Description: This course addresses advanced language techniques and their application to Information Systems problems. It discusses the appropriateness of certain languages and programming techniques.
|
| |
-
CIS 4260 - Database Administration
Credits: 3
Prerequisite(s): CIS 3060
Description: This course covers the functions and responsibilities of the Database Administrator (DBA) in an organization with an integrated, shared Relational Database Management System (RDBMS). The course will focus on the technical requirements of the DBA including enrolling new users, creating the database, backup and recovery of data, security measures, implementing data integrity, and tuning the database.
|
| |
-
CIS 4280 - Network Installation and Administration
Credits: 3
Prerequisite(s): CIS 3230
Description: This course presents the knowledge and skills necessary to install the network operating system and to perform competently in the role of a network administrator.
|
| |
-
CIS 4281 - Network Installation and Administration with UNIX/Linux
Credits: 3
Prerequisite(s): CIS 3230
Description: This course presents information and skills necessary to begin to perform competently in the role of a network/systems administrator in a Linux/UNIX environment including installation, configuration, and management of the operating system.
|
| |
-
CIS 4370 - Data Science and Big Data Analytics
Credits: 3
Prerequisite(s): CIS 3300, CIS 3460, and at least junior standing
Description: This course will cover the concepts of big data and data analytics used to solve business problems. Project management of data analytic activities will be introduced as part of the data analytic life cycle. The analytic life cycle starts with data discovery and preparation, which leads to the analytical methods of categorization, regression, and classification. Finally the results of the analytical steps are operationalized in order to benefit an organization.
|
| |
-
CIS 4410 - Management Information Systems
Credits: 3
Prerequisite(s): CIS 2110 and MGT 3000
Description: This course provides an overview of management information systems, managerial decision making practices and styles, and requisite information needs. International information concepts, the influence of national cultures on decision making, information use, and on various system design approaches are examined. The course addresses the practical aspects of the development of management information systems and decision-support systems.
|
| |
-
CIS 4500 - Information Systems Security Tools and Techniques
Credits: 3
Prerequisite(s): CIS 3500 and junior or senior standing
Description: This course covers tools and techniques that allow system administrators to protect organizational resources in a networked environment. It looks at design considerations, organizational policies, and industry best practices in all areas of security, reviews countermeasures to mitigate weaknesses, and introduces tools that can monitor, analyze, and visualize network activities for potential threats.
|
| |
-
CIS 4550 - Information Systems Security Management and Information Assurance
Credits: 3
Prerequisite(s): CIS 3500
Description: This course covers the broad fields of enterprise security and privacy, concentrating on the nature of enterprise security requirements by identifying threats to enterprise information technology (IT) systems, access control, and system and product evaluation criteria. Risk management and policy considerations are examined with respect to the complex nature of enterprise security as represented by government guidance and regulations to support information confidentiality, integrity and availability. The course develops the student’s ability to assess enterprise security risks and to formulate recommendations in the areas of data and application protection, access control, policies, and regulation compliance and governance.
|
| |
-
CIS 4920 - Health Care Information Systems Internship
Credits: 3
Prerequisite(s): Minimum of twelve (12) semester hours of upper-division courses from CIS or HCM courses listed in the HCIS Major curriculum, all with a grade of “C” or better, or permission of instructor
Description: This capstone course provides students with the opportunity to integrate and operationalize previously learned health care management and computer information systems knowledge and skills in a field experience specific to the health care information systems discipline. The internship provides an opportunity for students to learn firsthand about working with others in a professional setting. Students complete projects using or working with health care information system applications in a health-related organization.
Internship requirements vary by department. For information and instructions on finding and enrolling in an internship, contact the Applied Learning Center at 303-615-1333 or internships@msudenver.edu.
Note: Credit will be granted for only one prefix: CIS or HCM.
University Requirement(s): Senior Experience
Cross Listed Course(s): HCM 4920
|
Computer Science |
| |
-
CS 1030 - Computer Science Principles
Credits: 4
Description: Computer Science Principles introduces students to the central ideas of computer science vital for success in today’s world. Students are invited to develop the computational thinking skills that apply across disciplines, as we explore computing from multiple perspectives, including: cognitive, economic, ethical, legal, mathematical, philosophical, social, and technical. The course integrates computational thinking practices with big ideas in computing to address: collaborative teamwork, communication, creativity, critical thinking, innovation, problem solving, and programming. Students are afforded the opportunity to participate in active-learning experiences and to create computational artifacts that bring ideas to life.
|
| |
-
CS 1050 - Computer Science 1
Credits: 4
Prerequisite(s): CS 1030 with a grade of “C” or better, or readiness for MTH 1110
Description: This is the first course in the computer science core sequence. Students learn a modern programming language and the basic skills needed to analyze problems and construct programs for their solutions. The emphasis of the course is on the techniques of algorithm development, correctness, and programming style. Students are also introduced to the fundamentals of software engineering and the software-development life cycle.
|
| |
-
CS 1400 - Computer Organization 1
Credits: 4
Prerequisite(s): An intermediate algebra course or one and one-half years of secondary school algebra or equivalent and appropriate score on the mathematics pre-assessment placement test or higher-level math course with a grade of “C” or better
Description: In this course, students will study the internal organization, characteristics, performance and interactions of a computer system’s functional components. Binary codes and binary arithmetic, digital logic, central processor organization, instruction set architecture, input/output fundamentals, and memory architecture are covered.
|
| |
-
CS 2050 - Computer Science 2
Credits: 4
Prerequisite(s): CS 1050 and MTH 1110 (or equivalent) with a grade of “C” or better, or permission of instructor
Description: This course, a continuation of CS 1050, further emphasizes the concepts of the software development cycle and introduces the concept of an abstract data type (ADT). The topics covered include linked-lists, trees, stacks, queues, classes, recursion, and a variety of data representation methods. Further topics in software engineering and programming style as well as algorithms for sorting and searching are included.
|
| |
-
CS 2400 - Computer Organization 2
Credits: 4
Prerequisite(s): CS 1050, CS 1400, and MTH 1110 (or equivalent), each with a grade of “C” or better, or permission of instructor
Description: The course presents the functional organization of computers, multicore and multithreaded processors, high-performance storage, multiprocessor and multicomputer parallel architectures, and error detecting/correcting codes. Students learn assembly language programming and create software using a contemporary development environment.
|
| |
-
CS 3013 - Software Development for Mobile Devices
Credits: 4
Prerequisite(s): CS 2050 with a grade of “C” or better, or permission of instructor
Description: Mobile-device programming must address issues related to the characteristics of each device. The mobile device might have a small screen; limited memory; no hard drive; multiple radios; effectors such as vibrator, sound, and light; use a multi-touch interface; and incorporate hardware sensors, such as GPS, accelerometer, gyroscope, compass, and camera. In this course, students investigate issues involving mobile platforms and develop software for mobile platforms using multiple programming technologies.
|
| |
-
CS 3120 - Machine Learning
Credits: 4
Prerequisite(s): CS 2050 or MTH 2520, MTH 2140 or MTH 3130 or MTH 3140, and MTH 3210 all with a grade of C- or better
Description: Machine learning is the ability of computers to learn without explicitly programming an algorithm. Machine learning techniques learn about hyper-dimensional spaces with either explicit direction or implicit reinforcement. This course covers a variety of machine learning techniques and their application to actual data. Topics include the clustering of data and the retrieval of related data, the use of machine learning for recommender systems, and the creation of deep learning systems. This course includes both the underlying theory of machine learning and the creation of machine learning software for real-world problems.
|
| |
-
CS 3140 - Human-Computer Interaction
Credits: 4
Prerequisite(s): CS 2050 with grade of “C” or better, or permission of instructor
Description: This course explores and develops knowledge that enables computer scientists to improve human-computer interaction through the exploitation of cognitive science theories about how people interact with their environments. Topics include: how people interact with each other and with computers; insights provided by models of cognition, memory, perception, attention, and thought; defining, specifying and assessing usability; and the roles of computer interface elements and behaviors. Students will examine theories and use interactive computer systems as the vehicles for the study of human-computer interaction and design for usability. Students will evaluate the effectiveness of existing interfaces and will experiment with authoring their own.
|
| |
-
CS 3210 - Principles of Programming Languages
Credits: 4
Prerequisite(s): CS 2050, CS 2400, CS 3250, and MTH 3170, all with a grade of “C” or better, or permission of instructor
Description: This course traces the evolution of programming languages and identifies and analyzes the contributions made by several significant languages and their successors. Specific issues of programming language implementation such as creation of activation records for block structured languages and static and dynamic scoping as methods for defining program object visibility are studied in depth. All four of the modern programming language paradigms (procedural, functional, object-oriented, and logical) are studied.
|
| |
-
CS 3240 - Introduction to the Theory of Computation
Credits: 2
Prerequisite(s): CS 2050 and MTH 3170 with grades of “C” or better, or permission of instructor
Description: This course explores language theory and computability. Language theory includes: regular expressions, regular languages, and finite automata (deterministic and nondeterministic); context-free languages and pushdown automata; and language grammars. Computability includes: Tuning machines and their computing power; unsolvable problems; and intractable problems (NP-Completeness).
Note: Credit will be granted for only one prefix: CS or HON.
Cross Listed Course(s): HON 3240
|
| |
-
CS 3250 - Software Development Methods and Tools
Credits: 4
Prerequisite(s): CS 2050, ENG 1020, and CAS 1010 with a grade of “C” or better.
Description: This course introduces the basics of large-scale software development. As software size increases, so does the need to use appropriate tools and development techniques. The phases of traditional software development and several current software development lifecycles are introduced. The use of object-oriented techniques for large projects is covered. Creating appropriate and sufficient tests for test-driven and behavior-driven development is discussed. Students learn how to analyze their programs to detect errors and increase performance. The various types of automation used in creating a product are introduced. Students learn about group dynamics and work on a significant project in groups.
|
| |
-
CS 3280 - Object-Oriented Software Development
Credits: 4
Prerequisite(s): CS 2050 with a grade of “C” or better, or permission of instructor
Description: This is an upper-division software development class that focuses on the object-oriented programming paradigm. Object-oriented analysis, design, and development will be explored in some depth with emphasis on object definition, abstraction, polymorphism, encapsulation, and inheritance. Abstract class definitions are developed for a number of common objects and data structures and derivative classes and subclasses are developed from these definitions. Students will develop a thorough understanding of an object-oriented programming language such as C++ or Smalltalk.
|
| |
-
CS 3400 - Computer Architecture
Credits: 4
Prerequisite(s): CS 2050 and CS 2400 with grades of “C” or better, or permission of instructor
Description: Computer architecture concepts are extended to include advanced architectural concepts based on the quantitative analysis and evaluation of modern computing systems. These include advanced instruction set architecture designs, multilevel and set associative caches, advanced pipelining, out-of-order processors including superscalar and VLIW techniques, microprogramming concepts, multiprocessing architectures, advanced memory organizations, input/output, and network-oriented interconnections.
|
| |
-
CS 3410 - Embedded Systems
Credits: 4
Prerequisite(s): CS 2050 and CS 2400 each with a grade of “C” or better, or permission of instructor. (CS 3600 is
recommended.)
Description: This course presents the basics of embedded systems design, including computer architecture, custom designed digital devices, and software development principles. Design principles of hardware architecture are based on performance analysis and modeling of the embedded system structure. Students learn the organization of the processors, memory hierarchy, input/output peripherals and the interface with sensors and actuators. Software development is oriented to case studies from selected embedded application domains.
|
| |
-
CS 3510 - Computer Graphics
Credits: 4
Prerequisite(s): CS 2050 with a grade of “C” or better, MTH 1410, and either MTH 2140 or MTH 3140, or permission of instructor
Description: This course is an introduction to computer graphics. It covers the mathematical background, algorithmic concepts, and software tools required to model a 3D scene with polygon meshes and interpolating surfaces, with lighting and materials and texture mapping, and then to render that scene at interactive speeds, using an appropriate graphics library, such as OpenGL, with shader programming.
|
| |
-
CS 3600 - Operating Systems
Credits: 4
Prerequisite(s): CS 2050, CS 2400, and CS 3250, all with grades of “C” or better; or permission of instructor
Description: This course provides an introduction to modern computer operating systems, their use, design, development, and implementation. Topics covered include: operating system modes, structuring methods, process and thread scheduling and dispatch, concurrency, inter-process communication, memory management, file system organization (in both stand-alone and networked environments), and system security. Students are required to write programs that implement some operating system functions.
|
| |
-
CS 3700 - Computer Networks
Credits: 4
Prerequisite(s): CS 1400 and CS 2050 with grades of “C” or better, or permission of instructor
Description: This course provides a comprehensive study of computer networks, from the physical aspects to the high-level application protocols with which most people interact. The software that provides the communication is emphasized. The methods for creating connections, making sure they are error-free and in order, performing routing, and creating client/server interactions are discussed.
|
| |
-
CS 3710 - Web Application Development
Credits: 4
Prerequisite(s): CS 2050 with a grade of C- or better
Description: Modern web application frameworks encompass many different technologies to allow for the rapid prototyping, development, testing, and deployment of fully-functional web applications. These applications also allow use on various platforms including traditional computers, tablets, and smart phones. This course introduces students to the development of the various parts of a modern web application.
|
| |
-
CS 3750 - Computer and Network Security
Credits: 4
Prerequisite(s): CS 2050 with a grade of “C” or better, and CS 2400 with a grade of “C” or better, or permission of instructor
Description: This course will cover how computers are compromised, what one needs to do to build security into every program, how cryptography assists in securing data, how operating systems affect computer security, how networks are secured, and the social and ethical aspects of computer security.
|
| |
-
CS 3810 - Principles of Database Systems
Credits: 4
Prerequisite(s): CS 2050 and MTH 1410 with grades of “C” or better, or permission of instructor
Description: This course covers the principles and methodologies of database design, and techniques for database application development. The topics covered include relational algebra, SQL queries, normalization, entity-relationship model,
SQL/Host-language interface, stored procedure, object-oriented databases, and semi-structured databases.
|
| |
|
| |
-
CS 4000 - Computer System Reliability
Credits: 4
Prerequisite(s): CPE 3400, CS 2400, CPE 3330 with grade “C” or better
Description: The course covers theoretical and practical achievements oriented to make computing reliable and fault tolerant. Errors models are explained that are used both in production and in computer testing. Testing methodologies in production and the structure of the automatic test systems (ATS) are presented. Algorithmic explanation of the error detection and correcting codes is provided. formal definitions and practical measure of reliability, fault tolerance and computer security are described.
Note: Required calculator: TI-83 (any version)
|
| |
-
CS 4050 - Algorithms and Algorithm Analysis
Credits: 4
Prerequisite(s): CS 3240, CS 3250, and 4 additional credits of upper division CS courses all with grades of “C” or better, or permission of instructor. MTH 3210 is recommended.
Description: The emphasis of this course is on the design, analysis, and evaluation of efficient algorithms for a wide variety of computing problems.
Note: Credit will be granted for only one prefix: CS or HON.
Cross Listed Course(s): HON 4050
|
| |
-
CS 4120 - Foundations of Artificial Intelligence
Credits: 4
Prerequisite(s): CS 3210 with a grade of “C” or better, or permission of instructor
Description: This course includes a study of the theoretical foundations of artificial intelligence, including the algorithms and techniques and programming languages used to design and implement intelligent systems. The topics covered include search strategies, resolution theorem proving, rule-based deduction, expert systems architecture, plan-generating systems, analysis of languages, and machine learning. LISP and PROLOG, the most commonly used AI programming languages, will be covered and used for programming assignments.
|
| |
-
CS 4250 - Software Engineering Principles
Credits: 4
Prerequisite(s): JMP 2610, CS 3210, CS 3250, MTH 3170, PHI 3370, and 4 additional credits of upper division CS courses, all with a grade of “C” or better, or permission of instructor
Prerequisite(s) or Corequisite(s): CS 3240 (if corequisite then to be completed in first 8 weeks of semester)
Description: This course addresses sound principles and current best practices that support engineering high-quality software. The full life-cycle is considered, from concept inception through product end-of-life. The breadth of stakeholders, their goals, and roles, provides context for decision making and selecting among alternative approaches. Contemporary software engineering techniques, technologies, and tools are explored, reviewed, and applied.
|
| |
-
CS 4260 - Software Engineering Practices
Credits: 4
Prerequisite(s): Senior Standing, CAS 1010, CS 3240, CS 3250, CS 3210, CS 4250 with grades of “C” or better, additional 8 upper division CS credits
Description: This course continues the software engineering emphasis of CS 4250, Software Engineering Principles. Students work in teams and apply software engineering principles and best practices to the development of real-world projects for which the quality of the software products is significant. Some projects have been solicited from external constituents (industry, non-profit organizations, etc.) with progress evaluated in conjunction with constituent representatives.
University Requirement(s): Senior Experience
|
| |
-
CS 4281 - Software Requirements
Credits: 3
Prerequisite(s): CS 4250 or permission of department
Description: This course develops basic competency in software requirements engineering and management. Students gain knowledge and practical experience with the fundamentals of requirements elicitation, explication, validation, management, and assessment.
|
| |
-
CS 4282 - Software Development Management
Credits: 3
Prerequisite(s): CS 4250 or permission of department
Description: This course provides students with exposure to a broad set of principles and practices affecting the success and failure of software development efforts and productivity of teams involved in such efforts. The role and tasks of the software development manager are explored in detail. Note that this course is specific to software development and is not a general management course (see MGT courses).
|
| |
-
CS 4283 - Software Testing and Quality Assurance
Credits: 3
Prerequisite(s): CS 4250 or permission of department
Description: This course exposes the student to the key concepts and practices in software testing and quality assurance. Topics covered include aspects of software quality assurance relevant to all phases of the software life cycle, alternative approaches to software testing, application of current automated tools, standards, and emerging trends.
|
| |
-
CS 4284 - Software Product Engineering
Credits: 3
Prerequisite(s): CS 4250 or permission of department
Description: This course surveys fundamental topics necessary for successful software product engineering, including usability engineering, software configuration management (SCM), and an overview of legal issues for software engineers.
|
| |
-
CS 4285 - Best Practices in Software Development
Credits: 3
Prerequisite(s): CS 4260 or two of: CS 4281, CS 4282, CS 4283, CS 4284; or permission of department
Description: This course exposes the student to current best practices and emerging methodologies in software engineering and software product development. Topics are chosen to reflect the current state of the care and practice. (A typical set of such topics includes: software architecture as a discipline, design patterns, eXtreme Programming, recent technology in security, and aspect-oriented programming.)
|
| |
-
CS 4360 - Technical Software Project
Credits: 4
Prerequisite(s): Senior standing and CS 3210, CS 3600, 8 additional credits of upper-division CS courses, JMP 2610, PHI 3370, and CAS 1010, all with grades of “C” or better, or permission of instructor
Description: This course provides an experience in working on a software development project that requires technical knowledge. Students will work in teams of 3 or 4 to identify a problem, design a solution to that problem, and implement that solution. The solution must involve creating software and may involve also creating hardware.
University Requirement(s): Senior Experience
|
| |
-
CS 4520 - Advanced Computing: Variable Topics
Credits: 1-4
Prerequisite(s): Permission of instructor
Description: This course will include further topics in computer science and its applications. Topics will be chosen from analysis of algorithms, compiler design, simulation, artificial intelligence, or other chosen by the instructor.
Note: This course may be repeated for credit under different titles.
|
| |
-
CS 4760 - Multimedia Technologies
Credits: 4
Prerequisite(s): CS 2050, CS 2400, CPE 3400 with grade “C” or better
Description: The course addresses the scientific areas related to multimedia (image processing, computer graphics, video processing, speech and audio processing, text processing and networking) to a depth that enables the students to build up a thorough understanding of the technical issues associated with multimedia technologies. Topics cover how to present the different media types in multimedia stream, some theoretical foundations, multimedia standards (JPEG, MPEG), and different types of multimedia applications.
Note: Required Calculator: TI-83 (Any version)
|
Computer Science Studies |
| |
-
CSS 1010 - Introduction to Computers
Credits: 3
Description: This course is designed for students who wish to use a microcomputer in their academic pursuits and their career. The student will learn how to use a personal computer with application software featuring word processing, spreadsheets, file management, graphics, electronic communications, and thesaurus/spelling checker. This course also reviews the historical, societal, ethical, and technological aspects of computers.
Note: Credit will be granted for only one prefix: CSS or CIS.
Cross Listed Course(s): (CIS 1010)
|
| |
-
CSS 1080 - The World Wide Web, the Internet, and Beyond
Credits: 3
Description: This course is for anyone who uses or wants to access the World Wide Web or use the Internet. Students will master a set of basic skills including using electronic mail, logging in to remote computers, obtaining online documents and software, and using a browser like Netscape to search and explore the World Wide Web for information. Students will also learn the fundamentals of Web page construction.
Note: Credit will be granted for only one prefix: CSS or CIS.
Cross Listed Course(s): CIS 1080
|
| |
-
CSS 1247 - Introduction to Programming: Visual Basic
Credits: 4
Prerequisite(s): CSS 1010, or equivalent knowledge; completion of General Studies requirements in Quantitative Literacy; or permission of instructor.
Description: This is an introductory computer programming course in which the major elements of Visual Basic are taught. Visual Basic is one of Microsoft’s versions of Basic and was created to specialize in easy graphical user interface development. It is an object-based programming language with many characteristics of object oriented programming languages. Students will write programs to solve problems selected from a variety of applications.
|
| |
-
CSS 1510 - Computer Programming: FORTRAN
Credits: 4
Prerequisite(s): MTH 1120 or MTH 1400, with a grade of “C” or better
Description: This is a first course in computer programming for students in mathematics, science, or engineering, using the FORTRAN language. It includes an introduction to computer applications, program design, testing and debugging.
|
| |
-
CSS 1751 - Computing and Security for Manufacturing
Credits: 3
Prerequisite(s): CIS/CSS 1010 with a grade of “C” or better; or appropriate score on the computer literacy screening test.
Description: As all aspects of manufacturing have become computerized, it is important that everyone involved become knowledgeable in computing in general and computer security specifically. This course gives an overview of what computing is and how programming is done. It covers how computers are connected to networks and the related networking protocols. It emphasizes manufacturing-specific concerns such as Industrial Control Systems and the Supervisory Control And Data Acquisition (SCADA) technology, protecting intellectual property at all phases, and assuring the software supply chain.
|
| |
-
CSS 2751 - Principles of Cybersecurity
Credits: 3
Prerequisite(s): CIS/CSS 1010 with a grade of “C” or better; or appropriate score on the computer literacy screening test.
Description: This course provides a broad overview of cybersecurity. The terminology, approaches, and underlying technologies used in cybersecurity are covered. How computers and networks are attacked, how the attackers benefit, and how to mitigate attacks are addressed. Social engineering, cryptography, and application security are introduced.
|
| |
-
CSS 2752 - Information Assurance
Credits: 3
Prerequisite(s): CIS/CSS 1010 with a grade of “C” or better; or appropriate score on the computer literacy screening test.
Description: This course takes a broad, practical view of security - including people, policies and procedures, and technology. While Information Assurance (IA) encompasses the various technologies, it puts them in the context of an organization’s overall strategy. It applies risk management techniques to cybersecurity risks. It includes addressing data both at rest and in transit. IA looks at many aspects of an organization’s functioning including its legal, regulatory, and national security aspects.
|
| |
-
CSS 2753 - Network Security
Credits: 3
Prerequisite(s): CSS 2751 or permission of instructor
Description: This class provides an overview of network security including threat models, web and electronic mail security, network layer security, transport layer security, packet filtering, firewalls, intrusion detection and prevention, and virtual private networks. Both wired and wireless security are covered. Methods for privacy and anonymity are discussed.
|
| |
-
CSS 2754 - Host Security
Credits: 3
Prerequisite(s): CSS 2751 or permission of instructor
Description: This course introduces the means for keeping computers safe. The topics of intrusion detection and protection, protection mechanisms, and auditing are introduced. Specific approaches to anti-virus and -malware protection are discussed. The importance of business continuity including secure backups are covered. More advanced protection mechanisms such as SELinux, AppArmor, EMET, multi-factor authentication, and least privilege are included.
|
| |
-
CSS 3000 - Computing for Advanced Manufacturing
Credits: 4
Prerequisite(s): ENG 1020, MTH 1120, PHY 2010, AMS 1010
Description: This course provides a broad overview of computing topics important to all Advanced Manufacturing disciplines. These topics include: algorithms and algorithmic thinking; computer programming; developing software to control robots and perform simulations; fundamental concepts in computer systems, networking, and hardware; human-computer interaction; legal, social and ethical implications of computing; and computer and data security.
|
| |
-
CSS 3751 - Application Security
Credits: 3
Prerequisite(s): CSS 2751 and CSS 2752 or permission of instructor
Description: Writing applications so that they are less susceptible to compromise is a critical aspect of cybersecurity. This course explores how applications are compromised and the steps that must be taken to make them more secure. Several different languages and platforms are covered.
|
| |
-
CSS 3752 - Computer Forensics
Credits: 3
Prerequisite(s): CSS 2751 and CSS 2752 or permission of instructor
Description: Once a cybersecurity incident has occurred, it must be investigated and reported so that an organization can learn from the incident. This course discusses the various types of evidence, how to analyze that evidence, and when to involve law enforcement. This course includes low-level device analysis including filesystems, flash memory, and mobile devices. The concepts of chain of custody and the protection of evidence while performing effective forensics are covered.
|
Criminal Justice and Criminology |
| |
-
CJC 1010 - Introduction to the Criminal Justice System
Credits: 3
Description: This is an introductory course covering the basic concepts and principles of the criminal justice system. A survey of the discipline, including the police, the law, courts, corrections, theory, and victimology, is examined. This course is required for all criminal justice majors and minors.
General Studies: Social and Behavioral Sciences I
|
| |
-
CJC 1450 - Introduction to Corrections
Credits: 3
Description: This course examines the history of institutional and community based corrections in the United States. The course includes an overview of local, state, and federal corrections. Trends of incarceration and community supervision rates, including the breakdown by race/ ethnicity, gender, and type of offense will be studied.
|
| |
-
CJC 2020 - Research Methods and Basic Statistics for Criminal Justice Professionals
Credits: 3
Prerequisite(s): CJC 1010
Description: This course is an introduction to basic research methods and statistics used in criminal justice research. The course explores quantitative and qualitative methods used to study crime and criminology. This course provides a basic understanding for criminal justice professionals as consumers of applied research findings as well as lays the foundation for those undergraduates seeking to pursue careers in crime analysis and/or graduate studies.
|
| |
-
CJC 2050 - American Judicial System
Credits: 3
Prerequisite(s): CJC 1010
Description: This course introduces students to the structure and organization of the American judicial system. The process of court proceedings, including pre-trial, plea bargain, trials, sentencing, and the appeals process, are discussed. The roles of the different “players” in the court process are also discussed, as well as the specialized court movement and other trends in adjudication.
|
| |
-
CJC 2100 - Criminal Law
Credits: 3
Description: This course acquaints students with common law and statutory law crimes, the Model Penal Code, the elements defining crimes and penalties, defenses to criminal accusations, and the definitions and distinctions between criminal and civil law. Students are assigned criminal law readings including appellate court case law and statutory law.
|
| |
-
CJC 2210 - American Policing
Credits: 3
Description: This course provides an introductory examination of law enforcement in the United States, including its historical foundations and emerging issues. The relationship between law enforcement and the community serves as the context within which the challenge of responding to society’s multiple and changing public safety needs are addressed. Law enforcement agencies, their administrative practices, and the behaviors of those involved in the delivery of police services are examined from the perspective of democratic values, racial and ethnic diversity, and societal perceptions of police effectiveness.
|
| |
-
CJC 2500 - Criminal Investigation
Credits: 3
Prerequisite(s): CJC 1010
Description: Students in this course will define and explain the relationship between law enforcement and the investigative process. These investigative processes will be further analyzed in the context of defining and categorizing criminal behavior alongside the increased need for technological advances. Law enforcement agencies and their evolving techniques will also be examined from the perspective of the challenges these agencies regularly face.
Note: Credit will be granted for only one prefix: CYB or CJC.
Cross Listed Course(s): CYB 2500
|
| |
-
CJC 3110 - Constitutional Issues in Criminal Procedure and Evidence
Credits: 3
Prerequisite(s): CJC 1010 with a minimum grade of C
Description: This course will study the U.S. Constitution and the function of the U.S. Supreme Court in interpreting that document, especially those issues related to criminal procedure, evidence and the admissibility of evidence. It will consist of readings of decisions in the areas of privacy, due process, equal protection, and specific amendments to the Constitution related to the administration of criminal justice in the United States.
|
| |
-
CJC 3130 - Victimology
Credits: 3
Prerequisite(s): CJC 1010 with a minimum grade of C
Description: This course explores the history, causes, nature, and type of criminal victimization; the impact of crime on victims; as well as the methods by which the justice system respond to victims. This course will also examine the Colorado Victims’ Rights Amendment.
|
| |
-
CJC 3200 - Criminal Justice Administrative Behavior
Credits: 3
Prerequisite(s): CJC 1010 with a minimum grade of C
Description: This course is a comprehensive analysis of criminal justice organizational behavior and management. Roles and values in management, administrative alternatives, and the role of managers as an agent of change are studied.
|
| |
-
CJC 3210 - White-Collar Crime
Credits: 3
Prerequisite(s): CJC 1010
Description: Students will examine white-collar crime and its lack of punishment as well as its impact on individuals, businesses and society. Various types of white-collar crimes such as governmental corruption, organization fraud, consumer and environmental offenses, anti-trust violations, tax evasion, embezzlement, pyramid schemes, and medical fraud will be explored. Legal issues, including corporate liability and the range of civil and criminal penalties will also be reviewed. Students will survey law enforcement responses to white-collar crime and examine theoretical explanations. The course focuses on how the law evolves as criminal behaviors evolve in a technical age where transnational and internet crime are growing trends in the modern era. There is an emphasis on how these criminal and legal changes influence governmental institutions and society in general.
|
| |
-
CJC 3270 - Community Corrections
Credits: 3
Prerequisite(s): CJC 1010, CJC 1450
Description: This course covers the history and implementation of community corrections policies. The course covers community corrections as a part of a prison sentence. The focus is on pre-release programs, work release programs, and the shift from determinant to indeterminant sentencing. This course also focuses on community corrections as an alternative to prison. The emphasis is on restitution, house arrest, ankle-bracelet monitoring, drug courts, day reporting centers, and other methods that allow offenders to maintain ties within their community. There is an emphasis on the economic and social benefits of community corrections, rather than incarceration.
|
| |
-
CJC 3290 - Probation and Parole
Credits: 3
Prerequisite(s): CJC 1010, CJC 1450
Description: Students will explore the history, philosophy, and operations of probation and parole in the United States. Students will examine the theoretical foundations and supervisory functions of probation and parole as this relates to sentencing practices, legal issues, and evidence-based practices. There is an emphasis on the reentry phase of state supervision. Key issues include, recidivism, the role of the victim, and the outcome of punitive policies in the United States. Students will examine the community response to inmates coming home and the problems parolees face when returning to their community.
|
| |
-
CJC 3350 - Juvenile Justice and Delinquency
Credits: 3
Prerequisite(s): CJC 1010 or permission of instructor
Description: This course is a study of the nature and causes of delinquency and crime, criminal personality, and societal processes. This course analyzes the concepts of prevention, control and prediction in juvenile delinquency.
|
| |
-
CJC 3400 - Criminological Theories
Credits: 3
Prerequisite(s): CJC 1010
Description: The characteristics of criminal behavior, including biological, psychological, social, and cultural links to deviant and antisocial behavior are illustrated. This course examines criminal self-conceptions, criminal personality and serial criminals.
|
| |
-
CJC 3410 - Criminal Justice and the Social Structure
Credits: 3
Prerequisite(s): CJC 1010 with a minimum grade of C
Description: This course examines criminal justice systems in relation to social power, class structure, ecological patterns, subcultural developments, and processes of change in the community and in the criminal justice structure. Culture is examined in order to comprehend the interaction between subcultures in the larger society, as well as develop an understanding of cultural competence. The course evaluates the ambivalence in the social processes of law enforcement, courts and corrections, and the problems of professionalization.
Note: Credit will be granted for only one prefix: CJC or HON.
Cross Listed Course(s): HON 3410
|
| |
-
CJC 3420 - Organized Crime
Credits: 3
Prerequisite(s): CJC 1010
Description: Students in this course will examine history of organized crime in America and its impact on politics, law enforcement and the community. Students will explore the evolution of organized crime throughout American history, as well as the relationship between organized crime and law enforcement. Students will examine theories, politics, and policies related to organized crime. Students will also closely examine the history and development of legal punishment in the United States and the social consequences of these punishments, focusing on developing laws surrounding cybercrime and how the law evolves as criminal behaviors evolve in a technological age where transnational and internet crime are growing trends in the modern era. There is an emphasis on how these criminal and legal changes influence governmental institutions and society in general.
|
| |
-
CJC 3430 - Drugs and the Criminal Justice System
Credits: 3
Prerequisite(s): CJC 1010 with a minimum grade of C
Description: This course examines the history of drug use and drug laws, the relationship between drug use and crime, drug offenses and the criminal justice system, as well as treatment and prevention issues.
|
| |
-
CJC 3440 - American Gangsters
Credits: 3
Prerequisite(s): CJC 1010
Description:
This course will examine the nature and causes of gangs with an interdisciplinary focus. It will provide a background on gang membership and structure, an overview of the theoretical background and purpose of gangs, and will discuss prevention and intervention from a cross cultural perspective.
|
| |
-
CJC 3460 - Crime Mapping and Analysis
Credits: 3
Prerequisite(s): CJC 1010 with a minimum grade of C
Description: In this course, students will define the concepts of crime mapping and develop skills to use Geographic Information System (GIS) in understanding crime problems. Students will explore applied research techniques for tactical (crime series), strategic (operations research & problem analysis), and administrative analysis (budget/crime trend forecasting). Students will also develop skills to use GIS (Crime Mapping) tools, and interpret temporal and spatial statistics that lead to informed, data driven, and evidence-based criminal justice policy.
|
| |
-
CJC 3470 - Punishment and Society
Credits: 3
Prerequisite(s): CJC 1010 with a minimum grade of C
Description: This course is a critical examination of the history and development of the United States’ system(s) of criminal punishment and rehabilitation. It covers the different ways in which the United States has sought to penalize, correct, and prevent criminal behavior.
|
| |
Page: 1 <- 3
| 4
| 5
| 6
| 7
| 8
| 9
| 10
| 11
| 12
| 13
… Forward 10 -> 31 |
|
|
Print this Page