COMPUTER AND INFORMATION SCIENCES (CISC)
College of Arts and Sciences, Department of Computer and Information Sciences
O’Shaughnessy Science Hall (OSS) 402, (651) 962-5470
Curran (chair), Jarvis, Miracle, Myre Sawin, Werness, Yilek
Computer and Information Sciences is part of the liberal arts curriculum at the University of St. Thomas. Computing is constantly evolving. There is a growing family of computing related disciplines that have joined the initial discipline of Computer Science. Recognizing these many areas within the broader discipline in computing, this department offers four majors: (1) Computer Science, (2) Information Systems, (3) Information Security, and (4) Statistics. In addition, a track within the Computer Science major is offered for those students who wish to complete a Master of Science degree through the Graduate Programs in Software (GPS) degree. Each is described in detail below.
These majors are concerned with the collection, organization, processing, storage, retrieval, communication, and use of information in today’s society. The emphasis is on the core of knowledge required to become an effective user of information; to design and implement system and application software; and to understand the concepts involved in areas such as database design, systems analysis, networking, security, artificial intelligence, statistics, and operations research. Program goals can be found on the department website: www.stthomas.edu/cisc.
The department has arranged its program to prepare students to work in business, industry, education, and government as designers or users; or to pursue entrepreneurial interests in technologically supported areas; or to continue study in graduate school. Courses are arranged to encourage participation of students from other disciplines. The department encourages majors to obtain a minor in another field. Students interested in teacher licensure should see the various science and mathematics programs in the Department of Teacher Education section of this catalog. A dual degree program with Engineering is also available, which is described in the catalog section under School of Engineering.
Major in Computer Science
Computer Science is a foundation for many different computing careers. Computer scientists design and build software and create efficient solutions to real-world problems in such fields as robotics, computer architecture, software engineering, and computer networking.
CISC 130* Introduction to Programming and Problem Solving in the Sciences (4 credits) or CISC 131*
- Introduction to Programming and Problem Solving (4 credits)
Note: CISC 131 is recommended for this major
- CISC 210 Information Security (4 credits)
- CISC 230* Object-Oriented Design and Programming (4 credits)
- CISC 231 Data Structures Using Object-Oriented Design (4 credits)
- CISC 310 Operating Systems (4 credits)
- CISC 340 Computer Architecture (4 credits)
- CISC 370 Computer Networking (4 credits)
- CISC 450 Database Design I (4 credits)
- STAT 220 Statistics I (4 credits)
* Note: A grade of C- or above must be earned by majors in these courses.
Plus eight credits from the following:
- CISC 320 Systems Analysis and Design I (4 credits)
- CISC 342 Computer Applications in Experimental Sciences (4 credits)
- CISC 440 Artificial Intelligence and Robotics (4 credits)
- CISC 451 Database Design II (4 credits)
Allied requirements
- COJO 100 Public Speaking (4 credits) or COJO 105 Communications in the Workplace (4 credits)
- MATH 109 Calculus with review II or MATH 111 Calculus for Business & Social Science majors or MATH 113 Calculus I (4 credits each)
- MATH 114 Calculus II (4 credits) or STAT 320 Statistics II (4 credits)
- MATH 128 Introduction to Discrete Mathematics (4 credits)
UST Undergraduate Fast-Track Majors with Computer Science (CS) or Information Systems (IS) Major
Students in the fast track program will take 4 Graduate Programs in Software (GPS) cross-listed classes and, after completing their undergraduate degree, continue on to take 10 additional GPS classes, instead of 14, to obtain their Master of Science degree in either Software Engineering or Software Management.
For each of the courses in the list below that a UST undergraduate student completes with a grade of at least C-, Graduate Programs in Software (GPS) will grant a three credit reduction in the number of credits required to complete the Master of Science (MS) degree (either major-software engineering or software management) and waive the corresponding required GPS course up to a maximum of 12 credits.
Computer Science Fast Track to M.S. - Major Field Guide
The courses required for CS or IS are shown below*.
The courses covered by this policy are:
- CISC 605: Technical Communications (CS, IS)*
- CISC 610: Software Engineering (CS)*
- CISC 625: Software Project Management (CS, IS)*
- CISC 630: Database Management Systems and Design (CS, IS)*
- CISC 707: Enterprise Architecture and Development (IS)*
The MS degree with either major, software engineering or software management, requires the student to complete 42 graduate credits. With the above credit reductions for CISC courses taken as a UST undergraduate, that student as a graduate student must complete a minimum of 30 graduate credits (10 graduate courses) at the University of St. Thomas for GPS to award the MS degree.
The student must begin their GPS MS program within one year of completing their UST undergraduate degree to be eligible for these credit reductions.
Operational Considerations
- To be admitted to the track when the student declares a major field, the student must have a current overall GPA of 2.70 To continue with the program after attaining a Bachelor’s Degree in CISC (CS or IS major) the student must have a GPA of 3.00 in the courses identified above.
- When the student is admitted to the track, GPS is also notified.
- When the student graduates with a BA degree in this track, he or she will apply to GPS for admission They will be automatically qualified to be admitted if they satisfy number 1 above but will need to submit an application so that GPS department can flag them to process admission. If they do not satisfy that requirement, they may apply but will not be automatically admitted.
(I) Fast track to a Master of Science degree in Software Engineering (with undergraduate degree in CS)
See description above called UST Undergraduate Fast-Track Students with Computer Science (CS) or Information Systems (IS) Major
The following are the requirements for that program:
- CISC 130* Introduction to Programming and Problem Solving in the Sciences (4 credits)
or
- CISC 131* Introduction to Programming and Problem Solving (4 credits)
Note: CISC 131 is recommended for this major
- CISC 210 Information Security (4 credits)
- CISC 230* Object-Oriented Design and Programming (4 credits)
- CISC 231 Data Structures Using Object-Oriented Design (4 credits)
- CISC 310 Operating Systems (4 credits)
- CISC 340 Computer Architecture (4 credits)
- CISC 370 Computer Networking (4 credits)
- CISC 605 Technical Communications (4 credits)
- CISC 610 Software Engineering (4 credits)
- CISC 625 Software Project Management (4 credits)
- CISC 630 Database Design (4 credits)
- STAT 220 Statistics I (4 credits)
- One CISC or IDTH elective course numbered 100 through 499
* Note: A grade of C- or above must be earned by majors in these courses.
Allied requirements
- MATH 114 Calculus II (4 credits)
- MATH 128 Introduction to Discrete Mathematics (4 credits)
(II) Fast track to a Master of Science degree in Software Management (with undergraduate degree in IS)
See description above called UST Undergraduate Fast-Track Students with Computer Science (CS) or Information Systems (IS) Major
The following are the requirements for the Fast-Track in Software Engineering with undergraduate major in IS:
- CISC 130* Introduction to Programming and Problem Solving in the Sciences (4 credits)
or
- CISC 131* Introduction to Programming and Problem Solving (4 credits)
Note: CISC 131 is recommended for this major
- CISC 230* Object-Oriented Design and Programming (4 credits)
- CISC 320 Systems Analysis and Design I (4 credits)
- CISC 321 Systems Analysis and Design II (4 credits)
- CISC 370 Computer Networking (4 credits)
- CISC 430 Information Technology Management (4 credits)
- CISC 605 Technical Communications (4 credits)*
- CISC 625 Software Project Management (4 credits)*
- CISC 630 Database Design (4 credits)*
- CISC 707 Enterprise Architecture and Development*
- STAT 220 Statistics I (4 credits)
* Note: A grade of C- or above must be earned by majors in these programming courses.
Plus eight credits from the following:
- CISC 110 Introduction to Information Processing (4 credits) or CISC 200 Introduction to Computer Technology and Business Applications (4 credits)
- CISC 210 Information Security (4 credits)
- CISC 270 Web Development (4 credits)
- CISC 325 E-Commerce (4 credits)
- CISC 419 Accounting Information Systems (4 credits)
- IDTH 400 Data Mining (4 credits)
Plus four credits from the following:
- MATH 109 Calculus with Review II (4 credits)
- MATH 111 Calculus for Business and Social Science (4 credits)
- MATH 113 Calculus I (4 credits)
Plus:
- ACCT 210 Financial Accounting (4 credits)
Major in Information Systems (IS)
Information Systems majors design computing solutions that provide companies, non-profit organizations, and governments with the information they need to achieve their goals. They work with the life cycle of information systems, including efficiency and reliability, meeting customers’ budgets, proper testing, and maintenance.
CISC 130* Introduction to Programming and Problem Solving in the Sciences (4 credits)
or
- CISC 131* Introduction to Programming and Problem Solving (4 credits)
Note: CISC 131 is recommended for this major
- CISC 230* Object-Oriented Design and Programming (4 credits)
- CISC 320 Systems Analysis and Design I (4 credits)
- CISC 321 Systems Analysis and Design II (4 credits)
- CISC 325 E-Commerce (4 credits)
- CISC 450 Database Design I (4 credits)
- STAT 220 Statistics I (4 credits)
* Note: A grade of C- or above must be earned by majors in these courses.
Plus eight credits from the following:
- CISC 110 Introduction to Information Processing (4 credits) or CISC 200 Introduction to Computer Technology and Business Applications (4 credits)
- CISC 210 Information Security (4 credits)
- CISC 270 Web Development (4 credits)
- CISC 370 Computer Networking (4 credits)
- CISC 419 Accounting Information Systems (4 credits)
- CISC 430 Information Technology Management (4 credits)
Allied requirements
- ACCT 210 Financial Accounting (4 credits)
- COJO 100 Public Speaking (4 credits) or COJO 105 Communications in the Workplace (4 credits)
- MGMT 305 Management & Organizational Behavior (4 credits)
Plus four credits from the following:
- MATH 109 Calculus with Review II (4 credits)
- MATH 111 Calculus for Business and Social Science (4 credits)
- MATH 113 Calculus I (4 credits)
Major in Information Security
Information security studies the problem of protecting information stored on computing systems and travelling on computer networks. The discipline has emerged from a synthesis of software engineering, network technology, sociology of computing, and the mathematics of computer science. This major prepares students in the areas of computer security, network security, cryptography, and information assurance.
CISC 130* Introduction to Programming and Problem Solving in the Sciences (4 credits)
or
- CISC 131* Introduction to Programming and Problem Solving (4 credits)
Note: CISC 131 is recommended for this major
- CISC 210 Information Security (4 credits)
- CISC 230* Object-Oriented Design and Programming (4 credits)
- CISC 310 Operating Systems (4 credits)
- CISC 320 Systems Analysis and Design I (4 credits)
- CISC 370 Computer Networking (4 credits)
- CISC 410 Information Security Analysis (4 credits)
- STAT 220 Statistics I (4 credits)
* Note: A grade of C- or above must be earned by majors in these courses.
Plus eight credits from the following:
- CISC 270 Web Development (4 credits)
- CISC 321 Systems Analysis and Design II (4 credits)
- CISC 325 E-Commerce Systems (4 credits)
Allied requirements
- COJO 100 Public Speaking (4 credits) or COJO 105 Communications in the Workplace (4 credits)
- MATH 128 Introduction to Discrete Mathematics (4 credits) or ENGR 230 Digital Design (4 credits)
Plus four credits from the following:
- MATH 109 Calculus with Review II (4 credits)
- MATH 111 Calculus for Business and Social Science (4 credits)
- MATH 113 Calculus I (4 credits)
Major or Minor in Statistics
This is an interdisciplinary major in the department of Mathematics and Computer and Information Sciences. This joint major allows students to pursue an interest in mathematical statistics, applied statistics, and related areas including biostatistics, operations research, and data mining. In addition, there are two minors, one in Applied Statistics and one in Mathematical Statistics.
See Statistics
Teacher Licensure
Elementary Education with a co-major in Science, Technology, Engineering and Mathematics for Elementary Education
See Education
Minor in Computer and Information Sciences
Required: Five courses
- CISC 130 Introduction to Programming and Problem Solving in the Sciences (4 credits)
or
- CISC 131 Introduction to Programming and Problem Solving (4 credits)
Note: CISC 131 is recommended for this minor
- Four additional CISC courses, at least two of which must be numbered 300 or above.
Note: One of these four may be chosen from IDTH numbered 300 or above.
Students should choose courses appropriate to their major field of study in consultation with the department chair or a member of the CISC department faculty.
Minor in Information and Decision Theory
- CISC 130 Introduction to Programming and Problem Solving in the Sciences (4 credits)
or
- CISC 131 Introduction to Programming and Problem Solving (4 credits)
Note: CISC 131 is recommended for this minor
- STAT 220 Statistics I (4 credits)
- STAT 320 Statistics II (4 credits)
- IDTH 460 Senior Project/Practicum (4 credits)
Plus one elective IDTH course taken from this list:
- IDTH 400 Data Mining and Machine Learning (4 credits)
- IDTH 410 Operations Research I (4 credits)
- One approved IDTH Topics Course (IDTH 489 or 490)
Allied requirements
- MATH 113 Calculus I (4 credits)
Plus, depending on the IDTH Course choice, either:
- MATH 114 Calculus II (4 credits) or MATH 128 Introduction to Discrete Mathematics (4 credits)
Computer & Information Sciences Undergraduate Courses
|
Course Number
|
Title
|
Credits
|
|
CISC
110
|
Intro - Information Processing
|
4
|
|
Description of course Intro - Information Processing
:
|
(Formerly QMCS 110) Introduction to basic concepts of hardware, software and information processing systems. Introduction to computer programming concepts. Use of microcomputer application packages, including spreadsheets and database packages. Introduction to the Internet and World Wide Web. Investigation of the impact of the computer and future trends. NOTE: Students who receive credit for CISC 110 may not receive credit for CISC 200 or 216.
|
|
CISC
120
|
Computers in Elementary Educ
|
4
|
|
Description of course Computers in Elementary Educ
:
|
(Formerly QMCS 120) This course is intended for elementary education majors. Topics include the role of the computer in elementary and middle-school education, computer applications in science and mathematics, data analysis, software packages for use in elementary and middle-school classrooms, Computer-Assisted-Instruction (CAI), multimedia, electronic portfolios, telecommunication and software creation using tools such as MicroWorlds, Scratch, and HTML. This course fulfills the third course in the Natural Science and Mathematical and Quantative Reasoning. Prerequisite: Elementary Education or SMEE major
|
|
CISC
130
|
Intro-Program&Prob Solving-Sci
|
4
|
|
Description of course Intro-Program&Prob Solving-Sci
:
|
(Formerly QMCS 130 and 230) Introduction to problem solving with computers, using programming languages common to science and engineering disciplines; logical thinking, design and implementation of algorithms; and basic programming structures. Introduction to hardware and software: how computers acquire, store, process, and output information; how computer systems are designed, programmed, and tested. Students will use both a scientific programming language and an application package designed to implement programming features at a level more accessible to non-programmers. This course is designed for students majoring in Engineering or the sciences. Majors in the Department of Computer and Information Sciences should take CISC 131. Please see your academic advisor to ensure you select the appropriate class. Lab included. NOTE: Students who receive credit for CISC 130 may not receive credit for CISC 131
|
|
CISC
131
|
Intro-Programming&Prob Solving
|
4
|
|
Description of course Intro-Programming&Prob Solving
:
|
This course is designed for students with majors in the Department of Computer and Information Sciences and focuses on logical thinking, the design and implementation of algorithms in a procedural language, testing, correctness, and the use of common programming structures such as arrays. In addition, basic machine concepts are covered including hardware organization and representation of information in the machine. The typical student will be adept at using the computer but will have no prior programming experience. Engineering and science majors should take CISC 130. Please see your academic advisor to ensure you select the appropriate class. Lab included. NOTE: Students who receive credit for CISC 131 may not receive credit for CISC 130
|
|
CISC
200
|
Intro-Computer Tech & Bus Appl
|
4
|
|
Description of course Intro-Computer Tech & Bus Appl
:
|
(Formerly QMCS 200) This course will prepare students to use computers in a business environment and in daily life. It will provide an introduction to programming and problem solving for non-majors. Spreadsheet and database software will be used to solve problems related to business. The course includes an overview of hardware and software, how computers acquire and process information, and related topics.
NOTE: Students who receive credit for CISC 200 may not receive credit for CISC 110 or 216.
|
|
CISC
210
|
Information Security
|
4
|
|
Description of course Information Security
:
|
An introductory course in computer security.
Topics include operating system security, cryptography, user authentication, application security, secure programming, web security and privacy issues, and ethical issues in the field of computer security. Emphasis is on understanding the technical aspects of how adversaries exploit systems and the techniques for defending against these attacks.
Prerequisites: 1) MATH 128 or ENGR 230 or STAT 220(IDTH 220) (may be taken concurrently), and 2) a minimum grade of C- in CISC 130 or 131
|
|
CISC
216
|
Quantitative Techniques - Busn
|
2
|
|
Description of course Quantitative Techniques - Busn
:
|
(Formerly QMCS 216) The use of microcomputer spreadsheet software to aid in solving quantitative business problems. This course is to be taken by students who have been given transfer credits for the equivalent of some part but not all of CISC 200 and who are required to take CISC 200. NOTE: Students who receive credit for CISC 216 may not receive credit for CISC 110 or 200.
|
|
CISC
230
|
Object Oriented Design & Prog
|
4
|
|
Description of course Object Oriented Design & Prog
:
|
(Formerly QMCS 281) Programming and problem solving using an object-oriented approach. Builds on the procedural language foundation developed in CISC 130 or 131. Topics include: how procedural design differs from object-oriented design, algorithms, modeling, design requirements and representation, Uniform Modeling Language specification, implementation of object-oriented models, testing, and verification, and elementary design patterns. Lab included
Prerequisites: A minimum grade of C- in CISC 130 or 131
|
|
CISC
231
|
Data Structures-Object Design
|
4
|
|
Description of course Data Structures-Object Design
:
|
(Formerly QMCS 350) Presents the fundamental suite of data structures and the algorithms used to implement them. Topics include: abstract data types, algorithm development and representation, searching, sorting, stacks, queues, lists, trees, measuring algorithm complexity, object-oriented design and implementation of moderately large and complex systems. Course assumes the student has proficiency in object-oriented specification, design, and implementation. Prerequisites: A minimum grade of C- in CISC 230, MATH 128
|
|
CISC
238
|
Software Design Using Bus Lang
|
4
|
|
Description of course Software Design Using Bus Lang
:
|
(Formerly QMCS 238) Introduction to software development using current and other business languages. Topics include algorithm development, sequential and direct-access file processing, tables, sorting, structured programming and software validation.
|
|
CISC
243
|
Individual Study
|
2 OR 4
|
|
Description of course Individual Study
:
|
No description is available.
|
|
CISC
269
|
Research
|
2 OR 4
|
|
Description of course Research
:
|
No description is available.
|
|
CISC
270
|
Web Management
|
4
|
|
Description of course Web Management
:
|
(Formerly QMCS 310) This course will introduce students to the many technical and non-technical issues related to designing and constructing an effective World Wide Web (WWW) site. Students will be introduced to the Internet and the WWW, how they function, and what they do. The course will cover basic relational database principles and introduce the various tools necessary to implement an electronic commerce (e-commerce) WWW site. Students will work in small teams, using their own WWW server, and develop a fully functional site using many of the tools introduced in the course.
Prerequisite: A minimum grade of C- in CISC 230
|
|
CISC
295
|
Topics
|
2
|
|
Description of course Topics
:
|
The subject matter of these courses will vary from year to year, but will not duplicate existing courses. Descriptions of these courses are available in the Searchable Class Schedule on Murphy Online, View Searchable Class Schedule
|
|
CISC
296
|
Topics
|
2
|
|
Description of course Topics
:
|
The subject matter of these courses will vary from year to year, but will not duplicate existing courses. Descriptions of these courses are available in the Searchable Class Schedule on Murphy Online, View Searchable Class Schedule
|
|
CISC
297
|
Topics
|
4
|
|
Description of course Topics
:
|
The subject matter of these courses will vary from year to year, but will not duplicate existing courses. Descriptions of these courses are available in the Searchable Class Schedule on Murphy Online, View Searchable Class Schedule
|
|
CISC
298
|
Topics
|
4
|
|
Description of course Topics
:
|
The subject matter of these courses will vary from year to year, but will not duplicate existing courses. Descriptions of these courses are available in the Searchable Class Schedule on Murphy Online, View Searchable Class Schedule
|
|
CISC
310
|
Operating Systems
|
4
|
|
Description of course Operating Systems
:
|
(Formerly QMCS 360) The basic principles of designing and building operating systems. Sequential versus concurrent processes, synchronization and mutual exclusion, memory management techniques, CPU scheduling, input/output device handling, file systems design, security and protection. Prerequisite: A minimum grade of C- in CISC 230
|
|
CISC
320
|
Systems Analysis and Design I
|
4
|
|
Description of course Systems Analysis and Design I
:
|
(Formerly QMCS 420) A study of systems analysis methodologies used in the analysis and design of information systems. Emphasis on data, process, and modeling by use of a CASE tool: entity relationship diagrams and data normalization, data flow diagrams, use case diagrams, and data dictionaries. This is a "hands on" course where students form teams to analyze the needs of a business client in the community. Prerequisite: A minimum grade of C- in CISC 230
|
|
CISC
321
|
Systems Analysis and Design II
|
4
|
|
Description of course Systems Analysis and Design II
:
|
(Formerly QMCS 421) Continuation of CISC 320. Concentration on user-centered design (UCD), physical design, low- and high- fidelity prototyping, and agile methods. Emphasis on managerial problems in systems development. Continued use of CASE and project-management tools. A "real world" design and prototyping project is an integral part of this course. Prerequisite: CISC 320
|
|
CISC
325
|
E-Commerce
|
4
|
|
Description of course E-Commerce
:
|
(Formerly QMCS 425) A study of relevant technologies and how they are used in today's modern organizations to help manage the information resource of the organization. Emphasis is placed on the use of the Internet and World Wide Web and how they have changed organizational operations and strategies. This is an "active learning" course in which students will be researching current information systems technologies (such as Electronic Commerce [e-commerce]) and will be participating in the design and development of an e-commerce website for a fictitious organization. Prerequisite: A minimum grade of C- in CISC 230
|
|
CISC
340
|
Computer Architecture
|
4
|
|
Description of course Computer Architecture
:
|
(Formerly QMCS 300 and 340) Structure and organization of computer systems and components, including the design of central processors, memory, and input/output systems. Instruction sets and basic machine language programming. Prerequisites: CISC 231
|
|
CISC
342
|
Computer App-Experimental Sci
|
4
|
|
Description of course Computer App-Experimental Sci
:
|
(Formerly QMCS 342) Introduction to the use of computers in the collection and analysis of scientific information. The course is designed to meet the needs of both natural science majors with an interest in scientific computing and computer science majors with an interest in laboratory science. Emphasis is placed on application of concepts and techniques in addition to LabVIEW programming. Topics include laboratory device interfacing, analog-signal acquisition and processing, frequency transformations, data analysis, image processing, and math modeling and simulation. Prerequisites: CISC 130 or 131; MATH 109 or 111 or 113; one course in a laboratory science
|
|
CISC
370
|
Computer Networking
|
4
|
|
Description of course Computer Networking
:
|
(Formerly QMCS 370) An introduction to computer networking. covering theory and implementation of basic networking concepts including communication protocols, local area networks, http protocol and client-server and peer-to-peer computing. Prerequisites: A minimum grade of C- in CISC 230
|
|
CISC
389
|
Research
|
2 OR 4
|
|
Description of course Research
:
|
No description is available.
|
|
CISC
393
|
Individual Study
|
2 OR 4
|
|
Description of course Individual Study
:
|
No description is available.
|
|
CISC
410
|
Advanced Information Security
|
4
|
|
Description of course Advanced Information Security
:
|
A more in-depth study of security issues than CISC 210. This course will focus on modern attack techniques and defenses in the areas of application security, network security, cryptographic protocols, and web security. Prerequisite: A minimum grade of C- in CISC 210
|
|
CISC
419
|
Accounting Information Systems
|
4
|
|
Description of course Accounting Information Systems
:
|
(Formerly QMCS 419) This course will provide an understanding of the conceptual framework and practices of accounting information systems and the ability to work effectively with computer specialists and management to design, implement and audit such systems. Examples of subjects included are: systems development life cycle (SDLC), systems analysis phase of the SDLC, data and process models, operations of a corporate data center, including internal controls, database integrity, audit considerations for both internal and external auditors, unit integration, and system testing. Prerequisites: CISC 110 or 200, and previous or concurrent enrollment in ACCT 316
|
|
CISC
430
|
Information Technology Mgmt
|
4
|
|
Description of course Information Technology Mgmt
:
|
Issues and topics surrounding the management of an Information Technology (IT) department within an organization: issues surrounding IT personnel and IT clients or customers; trade offs regarding IT - time versus money, technological elegance versus real-world applicability, use of new technologies versus organizational success; IT controls; and other current issues. Prerequisites: CISC 320 and senior standing
|
|
CISC
440
|
Artfcl Intelligence & Robotics
|
4
|
|
Description of course Artfcl Intelligence & Robotics
:
|
(Formerly QMCS 380) Theory and implementation techniques using computers to solve problems, play games, prove theorems, recognize patterns, create artwork and musical scores, translate languages, read handwriting, speak and perform mechanical assembly. Emphasis placed on implementation of these techniques in robots. Prerequisites: CISC 230 and STAT 220 (IDTH 220)
|
|
CISC
450
|
Database Design I
|
4
|
|
Description of course Database Design I
:
|
(Formerly QMCS 450) Introduction to database management systems design philosophy. Design considerations for satisfying both availability and integrity requirements. Data models used to structure the logical view of the database. Schema, subschemas, and database administration. Emphasis on general purpose relational database management systems using SQL.
Prerequisite: a minimum grade of C- in CISC 230
|
|
CISC
451
|
Database Design II
|
4
|
|
Description of course Database Design II
:
|
Advanced database analysis, design, and implementation including data warehousing, distributed databases, materialized views, grid computing, and replication. Storage and efficient retrieval of temporal data, objects, and non-textual information. Prerequisite: CISC 450 or 630
|
|
CISC
460
|
Senior Project
|
4
|
|
Description of course Senior Project
:
|
Work on a software analysis, design, and implementation project or on a computer support project under the direction of a faculty member. Prerequisite: Senior standing and permission of the instructor
|
|
CISC
475
|
Experiential Learning
|
2
|
|
Description of course Experiential Learning
:
|
No description is available.
|
|
CISC
476
|
Experiential Learning
|
2
|
|
Description of course Experiential Learning
:
|
No description is available.
|
|
CISC
477
|
Experiential Learning
|
4
|
|
Description of course Experiential Learning
:
|
No description is available.
|
|
CISC
478
|
Experiential Learning
|
4
|
|
Description of course Experiential Learning
:
|
No description is available.
|
|
CISC
483
|
Seminar
|
2
|
|
Description of course Seminar
:
|
No description is available.
|
|
CISC
484
|
Seminar
|
2
|
|
Description of course Seminar
:
|
No description is available.
|
|
CISC
485
|
Seminar
|
4
|
|
Description of course Seminar
:
|
No description is available.
|
|
CISC
486
|
Seminar
|
4
|
|
Description of course Seminar
:
|
No description is available.
|
|
CISC
487
|
Topics
|
2
|
|
Description of course Topics
:
|
The subject matter of these courses will vary from year to year, but will not duplicate existing courses. Descriptions of these courses are available in the Searchable Class Schedule on Murphy Online, View Searchable Class Schedule
|
|
CISC
488
|
Topics
|
2
|
|
Description of course Topics
:
|
The subject matter of these courses will vary from year to year, but will not duplicate existing courses. Descriptions of these courses are available in the Searchable Class Schedule on Murphy Online, View Searchable Class Schedule
|
|
CISC
489
|
Topics
|
4
|
|
Description of course Topics
:
|
The subject matter of these courses will vary from year to year, but will not duplicate existing courses. Descriptions of these courses are available in the Searchable Class Schedule on Murphy Online, View Searchable Class Schedule
|
|
CISC
490
|
Topics
|
4
|
|
Description of course Topics
:
|
The subject matter of these courses will vary from year to year, but will not duplicate existing courses. Descriptions of these courses are available in the Searchable Class Schedule on Murphy Online, View Searchable Class Schedule
|
|
CISC
491
|
Research
|
2 OR 4
|
|
Description of course Research
:
|
No description is available.
|
|
CISC
495
|
Individual Study
|
2 OR 4
|
|
Description of course Individual Study
:
|
No description is available.
|
|
CISC
605
|
Technical Communications
|
4
|
|
Description of course Technical Communications
:
|
Instructors present the fundamentals of technical communication as practiced in industry, emphasizing clarity and organizational skills. Students engage in exercises that focus on technical writing, editing, public speaking and graphic design, and apply their skills across a broad range of activities, including critique of presentations and writing of proposals, reports, memoranda, user manuals, instructional modules, and specifications. The course includes techniques that assist an understanding of the structure of the language, and an appreciation for format and content, to better prepare students for project documentation.
|
|
CISC
610
|
Software Engineering
|
4
|
|
Description of course Software Engineering
:
|
This is a survey course covering software engineering concepts, techniques, and methodologies. Topics covered include software engineering; software process and its difficulties; software life-cycle models; project planning including cost estimation; design methodologies including structured design, data-structure oriented design, object- oriented design; and software testing. A brief review of data structures is included.
|
|
CISC
625
|
Software Project Management
|
4
|
|
Description of course Software Project Management
:
|
Students gain a management perspective and a development process for planning, estimating, and controlling software development. They learn to develop a well-defined plan before beginning any software development effort; how to handle changes during the execution of the plan; how to incorporate quality criteria in the development cycle; and how to use methods to keep the project on track. Included in the course is the use of project management software and simulation software in the development and control of the project plan.
|
|
CISC
630
|
Database Design
|
4
|
|
Description of course Database Design
:
|
This course focuses on relational database design and system concepts. Database design includes database concepts, data models, conceptual (EER) and relational schema designs, query languages (SQL), physical data storage and access methods, and physical schema designs. Database systems includes query processing, transaction concepts and management such as concurrency control and recovery from failure, and database security and authorization. Students will complete a relational database design project.
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Information & Decision Theory Undergraduate Courses
|
Course Number
|
Title
|
Credits
|
|
IDTH
243
|
Individual Study
|
2 OR 4
|
|
Description of course Individual Study
:
|
No description is available.
|
|
IDTH
269
|
Research
|
2 OR 4
|
|
Description of course Research
:
|
No description is available.
|
|
IDTH
295
|
Topics
|
2
|
|
Description of course Topics
:
|
No description is available.
|
|
IDTH
296
|
Topics
|
2
|
|
Description of course Topics
:
|
No description is available.
|
|
IDTH
360
|
Advanced Statistical Software
|
4
|
|
Description of course Advanced Statistical Software
:
|
This course introduces students to an advanced statistical software package to effectively apply statistical methods, in general. Students create data sets from raw data files, create variables within a data set, append and/or modify data sets, create subsets, then apply a whole host of statistical procedures, create graphs and produce reports. The course will be based on several leading advanced statistical software packages, which will be chosen from semester to semester to match the needs of the community.
Prerequisites: MATH 113, STAT 220 Statistics I or STAT 314 Math Statistics (MATH 314)
|
|
IDTH
389
|
Research
|
2 OR 4
|
|
Description of course Research
:
|
No description is available.
|
|
IDTH
393
|
Individual Study
|
2 OR 4
|
|
Description of course Individual Study
:
|
No description is available.
|
|
IDTH
400
|
Data Mining & Machine Learning
|
4
|
|
Description of course Data Mining & Machine Learning
:
|
Introduction to statistical learning methods, from a statistical and computational perspective, to deal with massive and complex data. Topics include: Introduction; creating a project and diagram. Data preparation; defining and exploring data sources. Pattern discovery; cluster analysis, market basket analysis. Decision trees; cultivating and pruning decision trees, autonomous tree growth. Regression; transforming inputs, categorical inputs, polynomial regression. Neural Networks; input selection, stopped training. Model assessment; fit statistics, graphs, separate sampling. Model implementation; scored data sets, score code models. Applications. This course will give the basic ideas and intuition behind these methods, and special emphasis will be placed on their application through statistical software. Prerequisites: IDTH 360, MATH 113, and one of MATH 128 or MATH 240, and one of STAT 320 or STAT 333.
|
|
IDTH
410
|
Operations Research I
|
4
|
|
Description of course Operations Research I
:
|
(Formerly QMCS 410) Introduction to computer and analytic techniques to support the decision-making process. Topics include: Introduction to linear programming algorithms, sensitivity, duality, transportation, assignment, transshipment, integer linear programming, network models, project scheduling, inventory models, and waiting line models. Prerequisites: MATH 113 or MATH 114 or MATH 128; and either STAT 220 (IDTH 220) or STAT 314 (MATH 314)
|
|
IDTH
411
|
Operations Research II
|
4
|
|
Description of course Operations Research II
:
|
(Formerly QMCS 411) Advanced modeling and analytic techniques to support the decision-making process. Topics include: forecasting, decision analysis, multicriteria decision problems, simulation, Markov processes, dynamic programming, and nonlinear programming. Prerequisites: IDTH 410 and MATH 114
|
|
IDTH
460
|
Senior Project
|
4
|
|
Description of course Senior Project
:
|
Work on a software analysis, design, and implementation project or on a computer support project under the direction of a faculty member. Prerequisite: Senior standing and permission of the instructor
|