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Schedule of Classes

  

Summer Session I 2022

  

Computer Science
Yun Wang • Bradley Hall 185 • 309-677-3284
CS461Artificial Intelligence (3 hours)
Prerequisite: CS 210 or CS 360 or equivalent.
 01 Arr     C Nikolopoulos  
CS472Distributed Databases and Big Data (3 hours)
Prerequisite: CS 370, CS 210 or CS 360 or equivalent.
 01 Arr     Mohammad Nazmus Sadat  
CS531Web Development Technologies (3 hours)
Prerequisite: Graduate standing in CS or CIS, or senior standing in CS or CIS, or CS 102 or equivalent.
 01 Arr     Jiang B Liu  
CS561Artificial Intelligence (3 hours)
Prerequisite: Graduate standing in CS or CIS. Consent of instructor for all other students with graduate standing.
 01 Arr     C Nikolopoulos  
 02 Arr     C Nikolopoulos  
CS572Distributed Databases and Big Data (3 hours)
Prerequisite: Graduate standing in CS or CIS, and CS 571. Consent of instructor for all other students with graduate standing.
 01 Arr     Mohammad Nazmus Sadat  
CS698Directed Individual Studies in Computer Science (1 to 3 hours)
Prerequisite: Consent of instructor.
 01 *R* Arr     C Nikolopoulos  
 02 Arr     Vladimir Uskov  
 "Data Visual & Analyti"
 03 *R* Arr     Young Park  
 "Recommender Systems"
 
Pattern recognition, search strategies, game playing, knowledge representation; logic programming, uncertainty, vision, natural language processing, robotics, programming in LISP and PROLOG. Advanced topics in artificial intelligence. Cross-listed with CS 561.
Designing and building enterprise-wide data warehouses. Cover topics related to large distributed databases, including designing distributed databases, replicating data, and concurrency. NoSQL, object-oriented, and multimedia databases and their query languages. Cross-listed with CS 572.
ntroduction to PERL/CGI, XHTML, XML, JavaScript and scripting languages. Web page design and layout. Client and server side development of web applications. Database connectivity, Java Database Connectivity (JDBC).
Pattern recognition, search strategies, game playing, knowledge representation; logic programming, uncertainty, vision, natural language processing, robotics, programming in LISP and PROLOG. Advanced topics in artificial intelligence. Cross-listed with CS 461. For cross-listed undergraduate/graduate courses, the graduate-level course will have additional academic requirements beyond those of the undergraduate course.
Designing and building enterprise-wide data warehouses. Cover topics related to large distributed databases, including designing distributed databases, replicating data, and concurrency. NoSQL, object-oriented, and multimedia databases and their query languages. Cross-listed with CS 472. For cross-listed undergraduate/graduate courses, the graduate-level course will have additional academic requirements beyond those of the undergraduate course.
Individual study in an area of computer science relevant to the student's professional goals and not covered in a formal course offered by the department. May be repeated twice for a maximum of 6 credit hours.
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