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2024 Summer: May 8 - August 13

Course Class No. Section Start & End Date Day Time Status Location
CMSC 100 Social Networking and Cybersecurity Best Practices (3)
(Formerly CMIS 111). A hands-on study of current social networking applications and approaches to protect against cyber attacks and enhance personal cybersecurity. The goal is to collaborate and interact through personal and professional social networking while developing and using computer security best practices. Discussion covers issues associated with the impact of social computing on individuals and society. Projects include creating and maintaining accounts on selected social networking sites. Students may receive credit for only one of the following courses: CMIS 111 or CMSC 100.
Start date has passed. Please register for the next start date.
53455 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Guster, Dennis C Syllabus Course Materials
CMSC 100 Social Networking and Cybersecurity Best Practices (3)
(Formerly CMIS 111). A hands-on study of current social networking applications and approaches to protect against cyber attacks and enhance personal cybersecurity. The goal is to collaborate and interact through personal and professional social networking while developing and using computer security best practices. Discussion covers issues associated with the impact of social computing on individuals and society. Projects include creating and maintaining accounts on selected social networking sites. Students may receive credit for only one of the following courses: CMIS 111 or CMSC 100.
Start date has passed. Please register for the next start date.
53456 6980 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Beache, Vidda Syllabus Course Materials
CMSC 100 Social Networking and Cybersecurity Best Practices (3)
(Formerly CMIS 111). A hands-on study of current social networking applications and approaches to protect against cyber attacks and enhance personal cybersecurity. The goal is to collaborate and interact through personal and professional social networking while developing and using computer security best practices. Discussion covers issues associated with the impact of social computing on individuals and society. Projects include creating and maintaining accounts on selected social networking sites. Students may receive credit for only one of the following courses: CMIS 111 or CMSC 100.
Start date has passed. Please register for the next start date.
54300 6381 15 May 2024-09 Jul 2024 Open Online
Faculty: Copeland, Keiona A Syllabus Course Materials
CMSC 100 Social Networking and Cybersecurity Best Practices (3)
(Formerly CMIS 111). A hands-on study of current social networking applications and approaches to protect against cyber attacks and enhance personal cybersecurity. The goal is to collaborate and interact through personal and professional social networking while developing and using computer security best practices. Discussion covers issues associated with the impact of social computing on individuals and society. Projects include creating and maintaining accounts on selected social networking sites. Students may receive credit for only one of the following courses: CMIS 111 or CMSC 100.
Start date has passed. Please register for the next start date.
54469 6981 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Gonzales, Matthew M Syllabus Course Materials
CMSC 100 Social Networking and Cybersecurity Best Practices (3)
(Formerly CMIS 111). A hands-on study of current social networking applications and approaches to protect against cyber attacks and enhance personal cybersecurity. The goal is to collaborate and interact through personal and professional social networking while developing and using computer security best practices. Discussion covers issues associated with the impact of social computing on individuals and society. Projects include creating and maintaining accounts on selected social networking sites. Students may receive credit for only one of the following courses: CMIS 111 or CMSC 100.
Start date has passed. Please register for the next start date.
54497 6382 15 May 2024-09 Jul 2024 Open Online
Faculty: Beache, Vidda Syllabus Course Materials
CMSC 105 Introduction to Problem Solving and Algorithm Design (3)
(Formerly CMIS 102). A study of techniques for finding solutions to problems through structured programming and step-wise refinement. The objective is to design programs using pseudocode and implement them in an appropriate programming language. Hands-on practice in debugging, testing, and documenting is provided. Topics include principles of programming, the logic of constructing a computer program, and the practical aspects of integrating program modules into a cohesive application. Algorithms are used to demonstrate programming as an approach to problem solving. Students may receive credit for only one of the following courses: CMIS 102, CMIS 102A, CMSC 101, or CMSC 105.
53360 5425 15 May 2024-09 Jul 2024 Th 6:00P-9:00P Open Kuhn Hall-Ft. Meade (Hybrid)
Faculty: Thomas, Darren J Syllabus Course Materials
CMSC 105 Introduction to Problem Solving and Algorithm Design (3)
(Formerly CMIS 102). A study of techniques for finding solutions to problems through structured programming and step-wise refinement. The objective is to design programs using pseudocode and implement them in an appropriate programming language. Hands-on practice in debugging, testing, and documenting is provided. Topics include principles of programming, the logic of constructing a computer program, and the practical aspects of integrating program modules into a cohesive application. Algorithms are used to demonstrate programming as an approach to problem solving. Students may receive credit for only one of the following courses: CMIS 102, CMIS 102A, CMSC 101, or CMSC 105.
53361 4025 15 May 2024-09 Jul 2024 Th 6:30P-9:30P Open College Park (Hybrid)
Faculty: Williams, Gregory T Bldg/Room: Hornbake Library (Undergrad) 0103 Syllabus Course Materials
CMSC 105 Introduction to Problem Solving and Algorithm Design (3)
(Formerly CMIS 102). A study of techniques for finding solutions to problems through structured programming and step-wise refinement. The objective is to design programs using pseudocode and implement them in an appropriate programming language. Hands-on practice in debugging, testing, and documenting is provided. Topics include principles of programming, the logic of constructing a computer program, and the practical aspects of integrating program modules into a cohesive application. Algorithms are used to demonstrate programming as an approach to problem solving. Students may receive credit for only one of the following courses: CMIS 102, CMIS 102A, CMSC 101, or CMSC 105.
53362 4065 12 Jun 2024-06 Aug 2024 Th 6:30P-9:30P Open College Park (Hybrid)
Faculty: Alhabashi, Khattab A Bldg/Room: Plants Sciences Bldg 1117 Syllabus Course Materials
CMSC 105 Introduction to Problem Solving and Algorithm Design (3)
(Formerly CMIS 102). A study of techniques for finding solutions to problems through structured programming and step-wise refinement. The objective is to design programs using pseudocode and implement them in an appropriate programming language. Hands-on practice in debugging, testing, and documenting is provided. Topics include principles of programming, the logic of constructing a computer program, and the practical aspects of integrating program modules into a cohesive application. Algorithms are used to demonstrate programming as an approach to problem solving. Students may receive credit for only one of the following courses: CMIS 102, CMIS 102A, CMSC 101, or CMSC 105.
Start date has passed. Please register for the next start date.
53457 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Welch, William J Syllabus Course Materials
CMSC 105 Introduction to Problem Solving and Algorithm Design (3)
(Formerly CMIS 102). A study of techniques for finding solutions to problems through structured programming and step-wise refinement. The objective is to design programs using pseudocode and implement them in an appropriate programming language. Hands-on practice in debugging, testing, and documenting is provided. Topics include principles of programming, the logic of constructing a computer program, and the practical aspects of integrating program modules into a cohesive application. Algorithms are used to demonstrate programming as an approach to problem solving. Students may receive credit for only one of the following courses: CMIS 102, CMIS 102A, CMSC 101, or CMSC 105.
Start date has passed. Please register for the next start date.
53458 6980 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Azhar, Mohammad Q Syllabus Course Materials
CMSC 105 Introduction to Problem Solving and Algorithm Design (3)
(Formerly CMIS 102). A study of techniques for finding solutions to problems through structured programming and step-wise refinement. The objective is to design programs using pseudocode and implement them in an appropriate programming language. Hands-on practice in debugging, testing, and documenting is provided. Topics include principles of programming, the logic of constructing a computer program, and the practical aspects of integrating program modules into a cohesive application. Algorithms are used to demonstrate programming as an approach to problem solving. Students may receive credit for only one of the following courses: CMIS 102, CMIS 102A, CMSC 101, or CMSC 105.
Start date has passed. Please register for the next start date.
54177 6381 15 May 2024-09 Jul 2024 Open Online
Faculty: Grady, Stephen Howard Syllabus Course Materials
CMSC 105 Introduction to Problem Solving and Algorithm Design (3)
(Formerly CMIS 102). A study of techniques for finding solutions to problems through structured programming and step-wise refinement. The objective is to design programs using pseudocode and implement them in an appropriate programming language. Hands-on practice in debugging, testing, and documenting is provided. Topics include principles of programming, the logic of constructing a computer program, and the practical aspects of integrating program modules into a cohesive application. Algorithms are used to demonstrate programming as an approach to problem solving. Students may receive credit for only one of the following courses: CMIS 102, CMIS 102A, CMSC 101, or CMSC 105.
Start date has passed. Please register for the next start date.
54246 6981 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Manocha, Subhash Syllabus Course Materials
CMSC 105 Introduction to Problem Solving and Algorithm Design (3)
(Formerly CMIS 102). A study of techniques for finding solutions to problems through structured programming and step-wise refinement. The objective is to design programs using pseudocode and implement them in an appropriate programming language. Hands-on practice in debugging, testing, and documenting is provided. Topics include principles of programming, the logic of constructing a computer program, and the practical aspects of integrating program modules into a cohesive application. Algorithms are used to demonstrate programming as an approach to problem solving. Students may receive credit for only one of the following courses: CMIS 102, CMIS 102A, CMSC 101, or CMSC 105.
Start date has passed. Please register for the next start date.
54272 6382 15 May 2024-09 Jul 2024 Open Online
Faculty: Kayed, Rabiha J Syllabus Course Materials
CMSC 105 Introduction to Problem Solving and Algorithm Design (3)
(Formerly CMIS 102). A study of techniques for finding solutions to problems through structured programming and step-wise refinement. The objective is to design programs using pseudocode and implement them in an appropriate programming language. Hands-on practice in debugging, testing, and documenting is provided. Topics include principles of programming, the logic of constructing a computer program, and the practical aspects of integrating program modules into a cohesive application. Algorithms are used to demonstrate programming as an approach to problem solving. Students may receive credit for only one of the following courses: CMIS 102, CMIS 102A, CMSC 101, or CMSC 105.
Start date has passed. Please register for the next start date.
54294 6383 15 May 2024-09 Jul 2024 Open Online
Faculty: Romero, Jose A Syllabus Course Materials
CMSC 105 Introduction to Problem Solving and Algorithm Design (3)
(Formerly CMIS 102). A study of techniques for finding solutions to problems through structured programming and step-wise refinement. The objective is to design programs using pseudocode and implement them in an appropriate programming language. Hands-on practice in debugging, testing, and documenting is provided. Topics include principles of programming, the logic of constructing a computer program, and the practical aspects of integrating program modules into a cohesive application. Algorithms are used to demonstrate programming as an approach to problem solving. Students may receive credit for only one of the following courses: CMIS 102, CMIS 102A, CMSC 101, or CMSC 105.
Start date has passed. Please register for the next start date.
54317 6982 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Yadav, Abbasaheb P Syllabus Course Materials
CMSC 105 Introduction to Problem Solving and Algorithm Design (3)
(Formerly CMIS 102). A study of techniques for finding solutions to problems through structured programming and step-wise refinement. The objective is to design programs using pseudocode and implement them in an appropriate programming language. Hands-on practice in debugging, testing, and documenting is provided. Topics include principles of programming, the logic of constructing a computer program, and the practical aspects of integrating program modules into a cohesive application. Algorithms are used to demonstrate programming as an approach to problem solving. Students may receive credit for only one of the following courses: CMIS 102, CMIS 102A, CMSC 101, or CMSC 105.
Start date has passed. Please register for the next start date.
54352 6384 15 May 2024-09 Jul 2024 Open Online
Faculty: Gonzales, Matthew M Syllabus Course Materials
CMSC 105 Introduction to Problem Solving and Algorithm Design (3)
(Formerly CMIS 102). A study of techniques for finding solutions to problems through structured programming and step-wise refinement. The objective is to design programs using pseudocode and implement them in an appropriate programming language. Hands-on practice in debugging, testing, and documenting is provided. Topics include principles of programming, the logic of constructing a computer program, and the practical aspects of integrating program modules into a cohesive application. Algorithms are used to demonstrate programming as an approach to problem solving. Students may receive credit for only one of the following courses: CMIS 102, CMIS 102A, CMSC 101, or CMSC 105.
Start date has passed. Please register for the next start date.
54412 6385 15 May 2024-09 Jul 2024 Open Online
Faculty: Al-Marzooq, Taghreed Syllabus Course Materials
CMSC 105 Introduction to Problem Solving and Algorithm Design (3)
(Formerly CMIS 102). A study of techniques for finding solutions to problems through structured programming and step-wise refinement. The objective is to design programs using pseudocode and implement them in an appropriate programming language. Hands-on practice in debugging, testing, and documenting is provided. Topics include principles of programming, the logic of constructing a computer program, and the practical aspects of integrating program modules into a cohesive application. Algorithms are used to demonstrate programming as an approach to problem solving. Students may receive credit for only one of the following courses: CMIS 102, CMIS 102A, CMSC 101, or CMSC 105.
Start date has passed. Please register for the next start date.
54448 6983 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Gorham, Christopher L Syllabus Course Materials
CMSC 105 Introduction to Problem Solving and Algorithm Design (3)
(Formerly CMIS 102). A study of techniques for finding solutions to problems through structured programming and step-wise refinement. The objective is to design programs using pseudocode and implement them in an appropriate programming language. Hands-on practice in debugging, testing, and documenting is provided. Topics include principles of programming, the logic of constructing a computer program, and the practical aspects of integrating program modules into a cohesive application. Algorithms are used to demonstrate programming as an approach to problem solving. Students may receive credit for only one of the following courses: CMIS 102, CMIS 102A, CMSC 101, or CMSC 105.
Start date has passed. Please register for the next start date.
54456 6386 15 May 2024-09 Jul 2024 Closed Online
Faculty: Dulmage, William B Syllabus Course Materials
CMSC 105 Introduction to Problem Solving and Algorithm Design (3)
(Formerly CMIS 102). A study of techniques for finding solutions to problems through structured programming and step-wise refinement. The objective is to design programs using pseudocode and implement them in an appropriate programming language. Hands-on practice in debugging, testing, and documenting is provided. Topics include principles of programming, the logic of constructing a computer program, and the practical aspects of integrating program modules into a cohesive application. Algorithms are used to demonstrate programming as an approach to problem solving. Students may receive credit for only one of the following courses: CMIS 102, CMIS 102A, CMSC 101, or CMSC 105.
Start date has passed. Please register for the next start date.
54548 6984 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Ghosh, Soumajit Syllabus Course Materials
CMSC 105 Introduction to Problem Solving and Algorithm Design (3)
(Formerly CMIS 102). A study of techniques for finding solutions to problems through structured programming and step-wise refinement. The objective is to design programs using pseudocode and implement them in an appropriate programming language. Hands-on practice in debugging, testing, and documenting is provided. Topics include principles of programming, the logic of constructing a computer program, and the practical aspects of integrating program modules into a cohesive application. Algorithms are used to demonstrate programming as an approach to problem solving. Students may receive credit for only one of the following courses: CMIS 102, CMIS 102A, CMSC 101, or CMSC 105.
Start date has passed. Please register for the next start date.
54584 6985 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Johnson, Tiffany N Syllabus Course Materials
CMSC 105 Introduction to Problem Solving and Algorithm Design (3)
(Formerly CMIS 102). A study of techniques for finding solutions to problems through structured programming and step-wise refinement. The objective is to design programs using pseudocode and implement them in an appropriate programming language. Hands-on practice in debugging, testing, and documenting is provided. Topics include principles of programming, the logic of constructing a computer program, and the practical aspects of integrating program modules into a cohesive application. Algorithms are used to demonstrate programming as an approach to problem solving. Students may receive credit for only one of the following courses: CMIS 102, CMIS 102A, CMSC 101, or CMSC 105.
Start date has passed. Please register for the next start date.
54613 6986 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Butu, Emilia V Syllabus Course Materials
CMSC 115 Introductory Programming (3)
CMSC 115 (Formerly CMIS 141). Prerequisite: CMSC 105 (or CMIS 102). A study of structured and object-oriented programming using the Java language. The goal is to design, implement, test, debug, and document Java programs, using appropriate development tools. Projects require the use of algorithms, simple data structures, and object-oriented concepts. Students may receive credit for only one of the following courses: CMIS 141, CMIS 141A, or CMSC 115.
Start date has passed. Please register for the next start date.
53459 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Haight, Timothy W Syllabus Course Materials
CMSC 115 Introductory Programming (3)
CMSC 115 (Formerly CMIS 141). Prerequisite: CMSC 105 (or CMIS 102). A study of structured and object-oriented programming using the Java language. The goal is to design, implement, test, debug, and document Java programs, using appropriate development tools. Projects require the use of algorithms, simple data structures, and object-oriented concepts. Students may receive credit for only one of the following courses: CMIS 141, CMIS 141A, or CMSC 115.
Start date has passed. Please register for the next start date.
53460 6980 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Rowson, Rebecca R Syllabus Course Materials
CMSC 115 Introductory Programming (3)
CMSC 115 (Formerly CMIS 141). Prerequisite: CMSC 105 (or CMIS 102). A study of structured and object-oriented programming using the Java language. The goal is to design, implement, test, debug, and document Java programs, using appropriate development tools. Projects require the use of algorithms, simple data structures, and object-oriented concepts. Students may receive credit for only one of the following courses: CMIS 141, CMIS 141A, or CMSC 115.
Start date has passed. Please register for the next start date.
54121 6381 15 May 2024-09 Jul 2024 Open Online
Faculty: Pitocco, Nickolas J Syllabus Course Materials
CMSC 115 Introductory Programming (3)
CMSC 115 (Formerly CMIS 141). Prerequisite: CMSC 105 (or CMIS 102). A study of structured and object-oriented programming using the Java language. The goal is to design, implement, test, debug, and document Java programs, using appropriate development tools. Projects require the use of algorithms, simple data structures, and object-oriented concepts. Students may receive credit for only one of the following courses: CMIS 141, CMIS 141A, or CMSC 115.
Start date has passed. Please register for the next start date.
54233 6382 15 May 2024-09 Jul 2024 Open Online
Faculty: Elsaghir, Hesham M Syllabus Course Materials
CMSC 115 Introductory Programming (3)
CMSC 115 (Formerly CMIS 141). Prerequisite: CMSC 105 (or CMIS 102). A study of structured and object-oriented programming using the Java language. The goal is to design, implement, test, debug, and document Java programs, using appropriate development tools. Projects require the use of algorithms, simple data structures, and object-oriented concepts. Students may receive credit for only one of the following courses: CMIS 141, CMIS 141A, or CMSC 115.
Start date has passed. Please register for the next start date.
54273 6981 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Marcello, Cynthia V. Syllabus Course Materials
CMSC 115 Introductory Programming (3)
CMSC 115 (Formerly CMIS 141). Prerequisite: CMSC 105 (or CMIS 102). A study of structured and object-oriented programming using the Java language. The goal is to design, implement, test, debug, and document Java programs, using appropriate development tools. Projects require the use of algorithms, simple data structures, and object-oriented concepts. Students may receive credit for only one of the following courses: CMIS 141, CMIS 141A, or CMSC 115.
Start date has passed. Please register for the next start date.
54301 6383 15 May 2024-09 Jul 2024 Open Online
Faculty: Zevallos, Omar A Syllabus Course Materials
CMSC 115 Introductory Programming (3)
CMSC 115 (Formerly CMIS 141). Prerequisite: CMSC 105 (or CMIS 102). A study of structured and object-oriented programming using the Java language. The goal is to design, implement, test, debug, and document Java programs, using appropriate development tools. Projects require the use of algorithms, simple data structures, and object-oriented concepts. Students may receive credit for only one of the following courses: CMIS 141, CMIS 141A, or CMSC 115.
Start date has passed. Please register for the next start date.
54432 6982 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Elsaghir, Hesham M Syllabus Course Materials
CMSC 115 Introductory Programming (3)
CMSC 115 (Formerly CMIS 141). Prerequisite: CMSC 105 (or CMIS 102). A study of structured and object-oriented programming using the Java language. The goal is to design, implement, test, debug, and document Java programs, using appropriate development tools. Projects require the use of algorithms, simple data structures, and object-oriented concepts. Students may receive credit for only one of the following courses: CMIS 141, CMIS 141A, or CMSC 115.
Start date has passed. Please register for the next start date.
54434 6385 15 May 2024-09 Jul 2024 Open Online
Faculty: Tapus, Nicolae Syllabus Course Materials
CMSC 115 Introductory Programming (3)
CMSC 115 (Formerly CMIS 141). Prerequisite: CMSC 105 (or CMIS 102). A study of structured and object-oriented programming using the Java language. The goal is to design, implement, test, debug, and document Java programs, using appropriate development tools. Projects require the use of algorithms, simple data structures, and object-oriented concepts. Students may receive credit for only one of the following courses: CMIS 141, CMIS 141A, or CMSC 115.
Start date has passed. Please register for the next start date.
54579 6983 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Del Orbe, Walther A Syllabus Course Materials
CMSC 150 Introduction to Discrete Structures (3)
Prerequisite or corequisite: MATH 140. A survey of fundamental mathematical concepts relevant to computer science. The objective is to address problems in computer science. Proof techniques presented are those used for modeling and solving problems in computer science. Discussion covers functions, relations, infinite sets, and propositional logic. Topics also include graphs and trees, as well as selected applications. Students may receive credit for only one of the following courses: CMSC 150 or CMSC 250.
Start date has passed. Please register for the next start date.
50335 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Korrapati, Srinivas Syllabus Course Materials
CMSC 150 Introduction to Discrete Structures (3)
Prerequisite or corequisite: MATH 140. A survey of fundamental mathematical concepts relevant to computer science. The objective is to address problems in computer science. Proof techniques presented are those used for modeling and solving problems in computer science. Discussion covers functions, relations, infinite sets, and propositional logic. Topics also include graphs and trees, as well as selected applications. Students may receive credit for only one of the following courses: CMSC 150 or CMSC 250.
Start date has passed. Please register for the next start date.
50611 6381 15 May 2024-09 Jul 2024 Open Online
Faculty: Marcello, Cynthia V. Syllabus Course Materials
CMSC 150 Introduction to Discrete Structures (3)
Prerequisite or corequisite: MATH 140. A survey of fundamental mathematical concepts relevant to computer science. The objective is to address problems in computer science. Proof techniques presented are those used for modeling and solving problems in computer science. Discussion covers functions, relations, infinite sets, and propositional logic. Topics also include graphs and trees, as well as selected applications. Students may receive credit for only one of the following courses: CMSC 150 or CMSC 250.
Start date has passed. Please register for the next start date.
51631 6980 12 Jun 2024-06 Aug 2024 Open Online
Faculty: King, Lauren Beth Syllabus Course Materials
CMSC 150 Introduction to Discrete Structures (3)
Prerequisite or corequisite: MATH 140. A survey of fundamental mathematical concepts relevant to computer science. The objective is to address problems in computer science. Proof techniques presented are those used for modeling and solving problems in computer science. Discussion covers functions, relations, infinite sets, and propositional logic. Topics also include graphs and trees, as well as selected applications. Students may receive credit for only one of the following courses: CMSC 150 or CMSC 250.
Start date has passed. Please register for the next start date.
52501 6981 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Dulmage, William B Syllabus Course Materials
CMSC 150 Introduction to Discrete Structures (3)
Prerequisite or corequisite: MATH 140. A survey of fundamental mathematical concepts relevant to computer science. The objective is to address problems in computer science. Proof techniques presented are those used for modeling and solving problems in computer science. Discussion covers functions, relations, infinite sets, and propositional logic. Topics also include graphs and trees, as well as selected applications. Students may receive credit for only one of the following courses: CMSC 150 or CMSC 250.
Start date has passed. Please register for the next start date.
54419 6382 15 May 2024-09 Jul 2024 Open Online
Faculty: Stricklin, Steve D. Syllabus Course Materials
CMSC 215 Intermediate Programming (3)
(Formerly CMIS 242). Prerequisite: CMSC 115 (or CMIS 141). Further study of the Java programming language. The objective is to design, implement, test, debug, and document Java programs, using appropriate development tools. Topics include object-oriented design, event driven programming, exceptions, recursion, arrays, and data structures. Students may receive credit for only one of the following courses: CMSC 215 or CMIS 242.
53364 7655 12 Jun 2024-06 Aug 2024 T 6:30P-9:30P Open Dorsey Station (Hybrid)
Faculty: Stricklin, Steve D. Syllabus Course Materials
Note: Dorsey Station: Classroom assignments are subject to change. Please view the electronic board in the hallway for your classroom assignment.
CMSC 215 Intermediate Programming (3)
(Formerly CMIS 242). Prerequisite: CMSC 115 (or CMIS 141). Further study of the Java programming language. The objective is to design, implement, test, debug, and document Java programs, using appropriate development tools. Topics include object-oriented design, event driven programming, exceptions, recursion, arrays, and data structures. Students may receive credit for only one of the following courses: CMSC 215 or CMIS 242.
53417 4060 12 Jun 2024-06 Aug 2024 W 6:30P-9:30P Open College Park (Hybrid)
Faculty: Scoggins, Shwu-Yan C Bldg/Room: Hornbake Library (Undergrad) 0123 Syllabus Course Materials
CMSC 215 Intermediate Programming (3)
(Formerly CMIS 242). Prerequisite: CMSC 115 (or CMIS 141). Further study of the Java programming language. The objective is to design, implement, test, debug, and document Java programs, using appropriate development tools. Topics include object-oriented design, event driven programming, exceptions, recursion, arrays, and data structures. Students may receive credit for only one of the following courses: CMSC 215 or CMIS 242.
Start date has passed. Please register for the next start date.
53461 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Fernandez, Teresa Suarez Syllabus Course Materials
CMSC 215 Intermediate Programming (3)
(Formerly CMIS 242). Prerequisite: CMSC 115 (or CMIS 141). Further study of the Java programming language. The objective is to design, implement, test, debug, and document Java programs, using appropriate development tools. Topics include object-oriented design, event driven programming, exceptions, recursion, arrays, and data structures. Students may receive credit for only one of the following courses: CMSC 215 or CMIS 242.
Start date has passed. Please register for the next start date.
53462 6980 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Luo, Angelo Y Syllabus Course Materials
CMSC 215 Intermediate Programming (3)
(Formerly CMIS 242). Prerequisite: CMSC 115 (or CMIS 141). Further study of the Java programming language. The objective is to design, implement, test, debug, and document Java programs, using appropriate development tools. Topics include object-oriented design, event driven programming, exceptions, recursion, arrays, and data structures. Students may receive credit for only one of the following courses: CMSC 215 or CMIS 242.
Start date has passed. Please register for the next start date.
54122 6381 15 May 2024-09 Jul 2024 Open Online
Faculty: Logue, Thomas A Syllabus Course Materials
CMSC 215 Intermediate Programming (3)
(Formerly CMIS 242). Prerequisite: CMSC 115 (or CMIS 141). Further study of the Java programming language. The objective is to design, implement, test, debug, and document Java programs, using appropriate development tools. Topics include object-oriented design, event driven programming, exceptions, recursion, arrays, and data structures. Students may receive credit for only one of the following courses: CMSC 215 or CMIS 242.
Start date has passed. Please register for the next start date.
54289 6382 15 May 2024-09 Jul 2024 Open Online
Faculty: Seely, Andrew R Syllabus Course Materials
CMSC 215 Intermediate Programming (3)
(Formerly CMIS 242). Prerequisite: CMSC 115 (or CMIS 141). Further study of the Java programming language. The objective is to design, implement, test, debug, and document Java programs, using appropriate development tools. Topics include object-oriented design, event driven programming, exceptions, recursion, arrays, and data structures. Students may receive credit for only one of the following courses: CMSC 215 or CMIS 242.
Start date has passed. Please register for the next start date.
54324 6981 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Timko, Thomas J Syllabus Course Materials
CMSC 215 Intermediate Programming (3)
(Formerly CMIS 242). Prerequisite: CMSC 115 (or CMIS 141). Further study of the Java programming language. The objective is to design, implement, test, debug, and document Java programs, using appropriate development tools. Topics include object-oriented design, event driven programming, exceptions, recursion, arrays, and data structures. Students may receive credit for only one of the following courses: CMSC 215 or CMIS 242.
Start date has passed. Please register for the next start date.
54360 6383 15 May 2024-09 Jul 2024 Open Online
Faculty: Del Orbe, Walther A Syllabus Course Materials
CMSC 215 Intermediate Programming (3)
(Formerly CMIS 242). Prerequisite: CMSC 115 (or CMIS 141). Further study of the Java programming language. The objective is to design, implement, test, debug, and document Java programs, using appropriate development tools. Topics include object-oriented design, event driven programming, exceptions, recursion, arrays, and data structures. Students may receive credit for only one of the following courses: CMSC 215 or CMIS 242.
Start date has passed. Please register for the next start date.
54558 6982 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Logue, Thomas A Syllabus Course Materials
CMSC 307 Artificial Intelligence Applications (3)
(No programming or math background required.) An interactive, hands-on study of current artificial intelligence (AI) applications spanning multiple disciplines and domains, including business, science, communications, and computing. The goal is to use datasets with AI and machine learning applications from leading cloud vendors, including Amazon and Microsoft. Projects and laboratory exercises demonstrate how AI can be used to solve problems across a wide variety of disciplines.
Start date has passed. Please register for the next start date.
51096 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Gorham, Christopher L Syllabus Course Materials
CMSC 307 Artificial Intelligence Applications (3)
(No programming or math background required.) An interactive, hands-on study of current artificial intelligence (AI) applications spanning multiple disciplines and domains, including business, science, communications, and computing. The goal is to use datasets with AI and machine learning applications from leading cloud vendors, including Amazon and Microsoft. Projects and laboratory exercises demonstrate how AI can be used to solve problems across a wide variety of disciplines.
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51365 6381 15 May 2024-09 Jul 2024 Open Online
Faculty: McFarland, Ronald D Syllabus Course Materials
CMSC 307 Artificial Intelligence Applications (3)
(No programming or math background required.) An interactive, hands-on study of current artificial intelligence (AI) applications spanning multiple disciplines and domains, including business, science, communications, and computing. The goal is to use datasets with AI and machine learning applications from leading cloud vendors, including Amazon and Microsoft. Projects and laboratory exercises demonstrate how AI can be used to solve problems across a wide variety of disciplines.
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52286 6980 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Potolea, Rodica Syllabus Course Materials
CMSC 307 Artificial Intelligence Applications (3)
(No programming or math background required.) An interactive, hands-on study of current artificial intelligence (AI) applications spanning multiple disciplines and domains, including business, science, communications, and computing. The goal is to use datasets with AI and machine learning applications from leading cloud vendors, including Amazon and Microsoft. Projects and laboratory exercises demonstrate how AI can be used to solve problems across a wide variety of disciplines.
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52406 6981 12 Jun 2024-06 Aug 2024 Open Online
Faculty: McFarland, Ronald D Syllabus Course Materials
CMSC 310 Computer Systems and Architecture (3)
(Formerly CMIS 310). Prerequisite: CMSC 115 (or CMIS 141). A study of the fundamental concepts of computer architecture and factors that influence the performance of a system. The aim is to apply practical skills to computer systems architecture. Topics include data representation, assembly language, central processing unit architecture, memory architecture, and input/output (I/O) architecture. Students may receive credit for only one of the following courses: CMIS 270, CMIS 310, CMSC 310, CMSC 311, or IFSM 310.
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53463 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Smith, Therese M Syllabus Course Materials
CMSC 310 Computer Systems and Architecture (3)
(Formerly CMIS 310). Prerequisite: CMSC 115 (or CMIS 141). A study of the fundamental concepts of computer architecture and factors that influence the performance of a system. The aim is to apply practical skills to computer systems architecture. Topics include data representation, assembly language, central processing unit architecture, memory architecture, and input/output (I/O) architecture. Students may receive credit for only one of the following courses: CMIS 270, CMIS 310, CMSC 310, CMSC 311, or IFSM 310.
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53464 6980 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Lusby, Jack C Syllabus Course Materials
CMSC 310 Computer Systems and Architecture (3)
(Formerly CMIS 310). Prerequisite: CMSC 115 (or CMIS 141). A study of the fundamental concepts of computer architecture and factors that influence the performance of a system. The aim is to apply practical skills to computer systems architecture. Topics include data representation, assembly language, central processing unit architecture, memory architecture, and input/output (I/O) architecture. Students may receive credit for only one of the following courses: CMIS 270, CMIS 310, CMSC 310, CMSC 311, or IFSM 310.
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54194 6381 15 May 2024-09 Jul 2024 Open Online
Faculty: Karmaker, Amitava Syllabus Course Materials
CMSC 310 Computer Systems and Architecture (3)
(Formerly CMIS 310). Prerequisite: CMSC 115 (or CMIS 141). A study of the fundamental concepts of computer architecture and factors that influence the performance of a system. The aim is to apply practical skills to computer systems architecture. Topics include data representation, assembly language, central processing unit architecture, memory architecture, and input/output (I/O) architecture. Students may receive credit for only one of the following courses: CMIS 270, CMIS 310, CMSC 310, CMSC 311, or IFSM 310.
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54347 6382 15 May 2024-09 Jul 2024 Open Online
Faculty: Chan, Philip W Syllabus Course Materials
CMSC 310 Computer Systems and Architecture (3)
(Formerly CMIS 310). Prerequisite: CMSC 115 (or CMIS 141). A study of the fundamental concepts of computer architecture and factors that influence the performance of a system. The aim is to apply practical skills to computer systems architecture. Topics include data representation, assembly language, central processing unit architecture, memory architecture, and input/output (I/O) architecture. Students may receive credit for only one of the following courses: CMIS 270, CMIS 310, CMSC 310, CMSC 311, or IFSM 310.
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54348 6981 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Korrapati, Srinivas Syllabus Course Materials
CMSC 310 Computer Systems and Architecture (3)
(Formerly CMIS 310). Prerequisite: CMSC 115 (or CMIS 141). A study of the fundamental concepts of computer architecture and factors that influence the performance of a system. The aim is to apply practical skills to computer systems architecture. Topics include data representation, assembly language, central processing unit architecture, memory architecture, and input/output (I/O) architecture. Students may receive credit for only one of the following courses: CMIS 270, CMIS 310, CMSC 310, CMSC 311, or IFSM 310.
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54583 6982 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Lusby, Jack C Syllabus Course Materials
CMSC 315 Data Structures and Analysis (3)
(Formerly CMSC 350). Prerequisite: CMSC 215 (or CMIS 242). A study of user-defined data structures and object-oriented design in computer science. The aim is to develop secure Java programs. Topics include linked lists, stacks, queues, arrays, maps, vectors, and trees. Algorithms that perform sorting, searching, and recursion are discussed and analyzed. Students may receive credit for only one of the following courses: CMSC 350 or CMSC 315.
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53465 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Salomie, Ioan Syllabus Course Materials
CMSC 315 Data Structures and Analysis (3)
(Formerly CMSC 350). Prerequisite: CMSC 215 (or CMIS 242). A study of user-defined data structures and object-oriented design in computer science. The aim is to develop secure Java programs. Topics include linked lists, stacks, queues, arrays, maps, vectors, and trees. Algorithms that perform sorting, searching, and recursion are discussed and analyzed. Students may receive credit for only one of the following courses: CMSC 350 or CMSC 315.
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53466 6980 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Huskins, James M Syllabus Course Materials
CMSC 315 Data Structures and Analysis (3)
(Formerly CMSC 350). Prerequisite: CMSC 215 (or CMIS 242). A study of user-defined data structures and object-oriented design in computer science. The aim is to develop secure Java programs. Topics include linked lists, stacks, queues, arrays, maps, vectors, and trees. Algorithms that perform sorting, searching, and recursion are discussed and analyzed. Students may receive credit for only one of the following courses: CMSC 350 or CMSC 315.
53686 7725 15 May 2024-09 Jul 2024 Th 6:30P-9:30P Open Arundel Mills (Hybrid)
Faculty: Muralidharan, Rajamani Bldg/Room: Arundel Mills 214 Syllabus Course Materials
CMSC 315 Data Structures and Analysis (3)
(Formerly CMSC 350). Prerequisite: CMSC 215 (or CMIS 242). A study of user-defined data structures and object-oriented design in computer science. The aim is to develop secure Java programs. Topics include linked lists, stacks, queues, arrays, maps, vectors, and trees. Algorithms that perform sorting, searching, and recursion are discussed and analyzed. Students may receive credit for only one of the following courses: CMSC 350 or CMSC 315.
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54202 6381 15 May 2024-09 Jul 2024 Closed Online
Faculty: Schmeelk, Suzanna E Syllabus Course Materials
CMSC 315 Data Structures and Analysis (3)
(Formerly CMSC 350). Prerequisite: CMSC 215 (or CMIS 242). A study of user-defined data structures and object-oriented design in computer science. The aim is to develop secure Java programs. Topics include linked lists, stacks, queues, arrays, maps, vectors, and trees. Algorithms that perform sorting, searching, and recursion are discussed and analyzed. Students may receive credit for only one of the following courses: CMSC 350 or CMSC 315.
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54341 6981 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Specioso, Richard E Syllabus Course Materials
CMSC 315 Data Structures and Analysis (3)
(Formerly CMSC 350). Prerequisite: CMSC 215 (or CMIS 242). A study of user-defined data structures and object-oriented design in computer science. The aim is to develop secure Java programs. Topics include linked lists, stacks, queues, arrays, maps, vectors, and trees. Algorithms that perform sorting, searching, and recursion are discussed and analyzed. Students may receive credit for only one of the following courses: CMSC 350 or CMSC 315.
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54396 6382 15 May 2024-09 Jul 2024 Open Online
Faculty: Jiang, Yuhua Syllabus Course Materials
CMSC 320 Relational Database Concepts and Applications (3)
(Formerly CMIS 320). Prerequisite: CMSC 115 (or CMIS 141). A study of the functions, underlying concepts, and applications of enterprise relational database management systems (RDBMS) in a business environment. The aim is to appropriately use databases to meet business requirements. Discussion covers entity/relationship diagrams, relational theory, normalization, integrity constraints, the Structured Query Language (SQL), and physical and logical design. Business case studies and projects include hands-on work using an industry-standard RDBMS. Students may receive credit for only one of the following courses: CMIS 320, CMSC 320, or IFSM 410.
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53467 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Elms, Michael A Syllabus Course Materials
CMSC 320 Relational Database Concepts and Applications (3)
(Formerly CMIS 320). Prerequisite: CMSC 115 (or CMIS 141). A study of the functions, underlying concepts, and applications of enterprise relational database management systems (RDBMS) in a business environment. The aim is to appropriately use databases to meet business requirements. Discussion covers entity/relationship diagrams, relational theory, normalization, integrity constraints, the Structured Query Language (SQL), and physical and logical design. Business case studies and projects include hands-on work using an industry-standard RDBMS. Students may receive credit for only one of the following courses: CMIS 320, CMSC 320, or IFSM 410.
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53468 6980 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Liu, Lawrence W Syllabus Course Materials
CMSC 320 Relational Database Concepts and Applications (3)
(Formerly CMIS 320). Prerequisite: CMSC 115 (or CMIS 141). A study of the functions, underlying concepts, and applications of enterprise relational database management systems (RDBMS) in a business environment. The aim is to appropriately use databases to meet business requirements. Discussion covers entity/relationship diagrams, relational theory, normalization, integrity constraints, the Structured Query Language (SQL), and physical and logical design. Business case studies and projects include hands-on work using an industry-standard RDBMS. Students may receive credit for only one of the following courses: CMIS 320, CMSC 320, or IFSM 410.
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54269 6381 15 May 2024-09 Jul 2024 Open Online
Faculty: Baird, Anthony B Syllabus Course Materials
CMSC 320 Relational Database Concepts and Applications (3)
(Formerly CMIS 320). Prerequisite: CMSC 115 (or CMIS 141). A study of the functions, underlying concepts, and applications of enterprise relational database management systems (RDBMS) in a business environment. The aim is to appropriately use databases to meet business requirements. Discussion covers entity/relationship diagrams, relational theory, normalization, integrity constraints, the Structured Query Language (SQL), and physical and logical design. Business case studies and projects include hands-on work using an industry-standard RDBMS. Students may receive credit for only one of the following courses: CMIS 320, CMSC 320, or IFSM 410.
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54305 6981 12 Jun 2024-06 Aug 2024 Closed Online
Faculty: Guy-Williams, Denton G Syllabus Course Materials
CMSC 320 Relational Database Concepts and Applications (3)
(Formerly CMIS 320). Prerequisite: CMSC 115 (or CMIS 141). A study of the functions, underlying concepts, and applications of enterprise relational database management systems (RDBMS) in a business environment. The aim is to appropriately use databases to meet business requirements. Discussion covers entity/relationship diagrams, relational theory, normalization, integrity constraints, the Structured Query Language (SQL), and physical and logical design. Business case studies and projects include hands-on work using an industry-standard RDBMS. Students may receive credit for only one of the following courses: CMIS 320, CMSC 320, or IFSM 410.
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54416 6382 15 May 2024-09 Jul 2024 Open Online
Faculty: Rajani, Janak R Syllabus Course Materials
CMSC 320 Relational Database Concepts and Applications (3)
(Formerly CMIS 320). Prerequisite: CMSC 115 (or CMIS 141). A study of the functions, underlying concepts, and applications of enterprise relational database management systems (RDBMS) in a business environment. The aim is to appropriately use databases to meet business requirements. Discussion covers entity/relationship diagrams, relational theory, normalization, integrity constraints, the Structured Query Language (SQL), and physical and logical design. Business case studies and projects include hands-on work using an industry-standard RDBMS. Students may receive credit for only one of the following courses: CMIS 320, CMSC 320, or IFSM 410.
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54482 6982 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Baird, Anthony B Syllabus Course Materials
CMSC 325 Game Design and Development (3)
Prerequisite: CMSC 215 (or CMIS 242). A project-driven study of the theory and practice of game design and development. The aim is to build realistic graphical 3D worlds, animate characters, and add special effects to games. Discussion covers critical mathematical concepts and real-time game physics. Projects include collaborative development of interactive games.
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50944 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Johnson, Tiffany N Syllabus Course Materials
CMSC 330 Advanced Programming Languages (3)
Prerequisite: CMSC 315 (or CMSC 350). A comparative study of programming languages. The aim is to write safe and secure computer programs. Topics include the syntax and semantics of programming languages and run-time support required for various programming languages. Programming projects using selected languages are required.
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50333 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Jiang, Yuhua Syllabus Course Materials
CMSC 330 Advanced Programming Languages (3)
Prerequisite: CMSC 315 (or CMSC 350). A comparative study of programming languages. The aim is to write safe and secure computer programs. Topics include the syntax and semantics of programming languages and run-time support required for various programming languages. Programming projects using selected languages are required.
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50732 6381 15 May 2024-09 Jul 2024 Open Online
Faculty: Gubanov, Vladimir Syllabus Course Materials
CMSC 330 Advanced Programming Languages (3)
Prerequisite: CMSC 315 (or CMSC 350). A comparative study of programming languages. The aim is to write safe and secure computer programs. Topics include the syntax and semantics of programming languages and run-time support required for various programming languages. Programming projects using selected languages are required.
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51839 6980 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Suciu, Alin D Syllabus Course Materials
CMSC 330 Advanced Programming Languages (3)
Prerequisite: CMSC 315 (or CMSC 350). A comparative study of programming languages. The aim is to write safe and secure computer programs. Topics include the syntax and semantics of programming languages and run-time support required for various programming languages. Programming projects using selected languages are required.
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54417 6382 15 May 2024-09 Jul 2024 Closed Online
Faculty: Richmond, Greig K Syllabus Course Materials
CMSC 330 Advanced Programming Languages (3)
Prerequisite: CMSC 315 (or CMSC 350). A comparative study of programming languages. The aim is to write safe and secure computer programs. Topics include the syntax and semantics of programming languages and run-time support required for various programming languages. Programming projects using selected languages are required.
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54449 6981 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Gubanov, Vladimir Syllabus Course Materials
CMSC 335 Object-Oriented and Concurrent Programming (3)
Prerequisite: CMSC 315 (or CMSC 350). A study of object-oriented and concurrent programming using features of Java. The goal is to design, implement, test, debug, and document complex robust programs in an object-oriented language. Concepts of object-oriented programming (such as composition, classification, and polymorphism) are explored. Topics include the principles of concurrent programming (such as task synchronization, race conditions, deadlock, threads, and event-driven graphic user interface programs). Programming projects are implemented in Java. Students may receive credit for only one of the following courses: CMSC 300 or CMSC 335.
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50436 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Ghosh, Soumajit Syllabus Course Materials
CMSC 335 Object-Oriented and Concurrent Programming (3)
Prerequisite: CMSC 315 (or CMSC 350). A study of object-oriented and concurrent programming using features of Java. The goal is to design, implement, test, debug, and document complex robust programs in an object-oriented language. Concepts of object-oriented programming (such as composition, classification, and polymorphism) are explored. Topics include the principles of concurrent programming (such as task synchronization, race conditions, deadlock, threads, and event-driven graphic user interface programs). Programming projects are implemented in Java. Students may receive credit for only one of the following courses: CMSC 300 or CMSC 335.
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50723 6381 15 May 2024-09 Jul 2024 Open Online
Faculty: Dinsoreanu, Mihaela Syllabus Course Materials
CMSC 335 Object-Oriented and Concurrent Programming (3)
Prerequisite: CMSC 315 (or CMSC 350). A study of object-oriented and concurrent programming using features of Java. The goal is to design, implement, test, debug, and document complex robust programs in an object-oriented language. Concepts of object-oriented programming (such as composition, classification, and polymorphism) are explored. Topics include the principles of concurrent programming (such as task synchronization, race conditions, deadlock, threads, and event-driven graphic user interface programs). Programming projects are implemented in Java. Students may receive credit for only one of the following courses: CMSC 300 or CMSC 335.
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51840 6980 12 Jun 2024-06 Aug 2024 Closed Online
Faculty: Vergamini, Didier Syllabus Course Materials
CMSC 335 Object-Oriented and Concurrent Programming (3)
Prerequisite: CMSC 315 (or CMSC 350). A study of object-oriented and concurrent programming using features of Java. The goal is to design, implement, test, debug, and document complex robust programs in an object-oriented language. Concepts of object-oriented programming (such as composition, classification, and polymorphism) are explored. Topics include the principles of concurrent programming (such as task synchronization, race conditions, deadlock, threads, and event-driven graphic user interface programs). Programming projects are implemented in Java. Students may receive credit for only one of the following courses: CMSC 300 or CMSC 335.
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54418 6382 15 May 2024-09 Jul 2024 Open Online
Faculty: Seiter, Linda Syllabus Course Materials
CMSC 340 Web Programming (3)
Prerequisite: CMSC 115 (or CMIS 141). This course is designed to give students the fundamental knowledge required for developing web applications. The course covers basic Web architecture, core Web standards (such as HTTP, HTML, CSS) client-side scripting with JavaScript and server-side programming with PHP. Students will understand the applications of networking protocols, aspects of system design and concepts of web security.
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53469 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Morad, Osama Syllabus Course Materials
CMSC 345 Software Engineering Principles and Techniques (3)
(Formerly CMIS 330). Prerequisite: CMSC 115 (or CMIS 141). A study of soft-ware engineering from initial concept through design, development, testing, and maintenance of the product. Discussion covers software development life-cycle models. The goal is to analyze, customize, and document multiple processes to solve information technology problems. Topics include configuration management, quality, validation and verification, security, human factors, and organizational structures. Students may receive credit for only one of the following courses: CMIS 330, CMIS 388A, or CMSC 345.
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53471 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Breitler, Alan L Syllabus Course Materials
CMSC 345 Software Engineering Principles and Techniques (3)
(Formerly CMIS 330). Prerequisite: CMSC 115 (or CMIS 141). A study of soft-ware engineering from initial concept through design, development, testing, and maintenance of the product. Discussion covers software development life-cycle models. The goal is to analyze, customize, and document multiple processes to solve information technology problems. Topics include configuration management, quality, validation and verification, security, human factors, and organizational structures. Students may receive credit for only one of the following courses: CMIS 330, CMIS 388A, or CMSC 345.
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53472 6980 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Morad, Osama Syllabus Course Materials
CMSC 345 Software Engineering Principles and Techniques (3)
(Formerly CMIS 330). Prerequisite: CMSC 115 (or CMIS 141). A study of soft-ware engineering from initial concept through design, development, testing, and maintenance of the product. Discussion covers software development life-cycle models. The goal is to analyze, customize, and document multiple processes to solve information technology problems. Topics include configuration management, quality, validation and verification, security, human factors, and organizational structures. Students may receive credit for only one of the following courses: CMIS 330, CMIS 388A, or CMSC 345.
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54176 6381 15 May 2024-09 Jul 2024 Open Online
Faculty: Shash, Abdulnasir M Syllabus Course Materials
CMSC 345 Software Engineering Principles and Techniques (3)
(Formerly CMIS 330). Prerequisite: CMSC 115 (or CMIS 141). A study of soft-ware engineering from initial concept through design, development, testing, and maintenance of the product. Discussion covers software development life-cycle models. The goal is to analyze, customize, and document multiple processes to solve information technology problems. Topics include configuration management, quality, validation and verification, security, human factors, and organizational structures. Students may receive credit for only one of the following courses: CMIS 330, CMIS 388A, or CMSC 345.
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54318 6981 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Anyanso, Chukwuma Syllabus Course Materials
CMSC 405 Computer Graphics (3)
Prerequisite: CMSC 325 or CMSC 315 (or CMSC 350). A hands-on, project-based introduction to computer graphics. The goal is to develop projects that render graphic images and animate three dimensional objects. Topics include programming in OpenGL and transforming, viewing, and modeling 2D and 3D objects.
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50849 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Metallo, Lynda M Syllabus Course Materials
CMSC 405 Computer Graphics (3)
Prerequisite: CMSC 325 or CMSC 315 (or CMSC 350). A hands-on, project-based introduction to computer graphics. The goal is to develop projects that render graphic images and animate three dimensional objects. Topics include programming in OpenGL and transforming, viewing, and modeling 2D and 3D objects.
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51816 6980 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Richmond, Greig K Syllabus Course Materials
CMSC 412 Operating Systems (3)
Prerequisite: CMIS 310 or CMSC 311. A study of the fundamental principles underlying modern operating systems. The objective is to design and implement a small-scale operating system and design a virtual memory management system. Discussion covers the essential components of a typical operating system and the interactions among them. Topics also include methods of managing processes and resources in computer systems. A programming project that implements part of an operating system is required.
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50438 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Suciu, Alin D Syllabus Course Materials
CMSC 427 Artificial Intelligence Foundations (3)
Prerequisite: CMSC 315 (or CMSC 350) or SDEV 300. A study of the theoretical foundations and practical applications of artificial intelligence. The objective is to develop algorithms and systems to demonstrate intelligent behavior. Topics include intelligent agents, searching algorithms, knowledge representation, probability, logic, and learning.
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53477 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Castillo, David Syllabus Course Materials
CMSC 430 Compiler Theory and Design (3)
Prerequisite: CMSC 330. An examination of the formal translation of programming languages, syntax, and semantics. The goal is to write programs that are constructed using program generators. Topics include evaluation of finite-state grammars and recognizers; context free parsing techniques, such as recursive descent, precedence, LL(K), LR(K), and SLR(K); and improvement and generation of machine-independent code and syntax-directed translation schema. Programming projects that implement parts of a compiler are required.
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51841 6980 12 Jun 2024-06 Aug 2024 Open Online
Faculty: McDonald, Renee C Syllabus Course Materials
CMSC 430 Compiler Theory and Design (3)
Prerequisite: CMSC 330. An examination of the formal translation of programming languages, syntax, and semantics. The goal is to write programs that are constructed using program generators. Topics include evaluation of finite-state grammars and recognizers; context free parsing techniques, such as recursive descent, precedence, LL(K), LR(K), and SLR(K); and improvement and generation of machine-independent code and syntax-directed translation schema. Programming projects that implement parts of a compiler are required.
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52235 6981 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Chan, Philip W Syllabus Course Materials
CMSC 430 Compiler Theory and Design (3)
Prerequisite: CMSC 330. An examination of the formal translation of programming languages, syntax, and semantics. The goal is to write programs that are constructed using program generators. Topics include evaluation of finite-state grammars and recognizers; context free parsing techniques, such as recursive descent, precedence, LL(K), LR(K), and SLR(K); and improvement and generation of machine-independent code and syntax-directed translation schema. Programming projects that implement parts of a compiler are required.
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52320 6982 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Williams, Gregory T Syllabus Course Materials
CMSC 451 Design and Analysis of Computer Algorithms (3)
Prerequisites: CMSC 150 and CMSC 315 (or CMIS 350). A presentation of fundamental techniques for designing and analyzing computer algorithms. The aim is to apply big-O estimates of algorithms and proof-of-correctness techniques and to design algorithms. Basic methods include divide-and-conquer techniques, search and traversal techniques, dynamic programming, greedy methods, and induction. Programming projects are included.
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50439 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Didulo, Dennis Syllabus Course Materials
CMSC 451 Design and Analysis of Computer Algorithms (3)
Prerequisites: CMSC 150 and CMSC 315 (or CMIS 350). A presentation of fundamental techniques for designing and analyzing computer algorithms. The aim is to apply big-O estimates of algorithms and proof-of-correctness techniques and to design algorithms. Basic methods include divide-and-conquer techniques, search and traversal techniques, dynamic programming, greedy methods, and induction. Programming projects are included.
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51122 6381 15 May 2024-09 Jul 2024 Open Online
Faculty: Sanford, Jeff H Syllabus Course Materials
CMSC 451 Design and Analysis of Computer Algorithms (3)
Prerequisites: CMSC 150 and CMSC 315 (or CMIS 350). A presentation of fundamental techniques for designing and analyzing computer algorithms. The aim is to apply big-O estimates of algorithms and proof-of-correctness techniques and to design algorithms. Basic methods include divide-and-conquer techniques, search and traversal techniques, dynamic programming, greedy methods, and induction. Programming projects are included.
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52249 6980 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Adams, Candice H Syllabus Course Materials
CMSC 495 Capstone in Computer Science (3)
Prerequisite(s): Either CMSC 330 and CMSC 335, CMSC 320 (or CMIS 320) and CMSC 345, or SDEV 425. An overview of computer technologies, with an emphasis on integration of concepts, practical application, and critical thinking. The goal is to research, plan, conduct, and complete collaborative computer-related projects in compliance with schedule deadlines. Analysis covers innovative and emerging issues in computer science. Assignments include working in teams throughout the analysis, design, development, implementation, testing, and documentation phases of the projects, including periodic peer reviews.
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50446 6380 15 May 2024-09 Jul 2024 Open Online
Faculty: Dao, Hung Syllabus Course Materials
CMSC 495 Capstone in Computer Science (3)
Prerequisite(s): Either CMSC 330 and CMSC 335, CMSC 320 (or CMIS 320) and CMSC 345, or SDEV 425. An overview of computer technologies, with an emphasis on integration of concepts, practical application, and critical thinking. The goal is to research, plan, conduct, and complete collaborative computer-related projects in compliance with schedule deadlines. Analysis covers innovative and emerging issues in computer science. Assignments include working in teams throughout the analysis, design, development, implementation, testing, and documentation phases of the projects, including periodic peer reviews.
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51112 6381 15 May 2024-09 Jul 2024 Open Online
Faculty: Nevarez, Shanna Nicole Syllabus Course Materials
CMSC 495 Capstone in Computer Science (3)
Prerequisite(s): Either CMSC 330 and CMSC 335, CMSC 320 (or CMIS 320) and CMSC 345, or SDEV 425. An overview of computer technologies, with an emphasis on integration of concepts, practical application, and critical thinking. The goal is to research, plan, conduct, and complete collaborative computer-related projects in compliance with schedule deadlines. Analysis covers innovative and emerging issues in computer science. Assignments include working in teams throughout the analysis, design, development, implementation, testing, and documentation phases of the projects, including periodic peer reviews.
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51119 6382 15 May 2024-09 Jul 2024 Open Online
Faculty: Mentzos, Terrence W. Syllabus Course Materials
CMSC 495 Capstone in Computer Science (3)
Prerequisite(s): Either CMSC 330 and CMSC 335, CMSC 320 (or CMIS 320) and CMSC 345, or SDEV 425. An overview of computer technologies, with an emphasis on integration of concepts, practical application, and critical thinking. The goal is to research, plan, conduct, and complete collaborative computer-related projects in compliance with schedule deadlines. Analysis covers innovative and emerging issues in computer science. Assignments include working in teams throughout the analysis, design, development, implementation, testing, and documentation phases of the projects, including periodic peer reviews.
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51950 6980 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Munoz, Mark Ryan Syllabus Course Materials
CMSC 495 Capstone in Computer Science (3)
Prerequisite(s): Either CMSC 330 and CMSC 335, CMSC 320 (or CMIS 320) and CMSC 345, or SDEV 425. An overview of computer technologies, with an emphasis on integration of concepts, practical application, and critical thinking. The goal is to research, plan, conduct, and complete collaborative computer-related projects in compliance with schedule deadlines. Analysis covers innovative and emerging issues in computer science. Assignments include working in teams throughout the analysis, design, development, implementation, testing, and documentation phases of the projects, including periodic peer reviews.
Start date has passed. Please register for the next start date.
52300 6981 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Davis, Christopher L Syllabus Course Materials
CMSC 495 Capstone in Computer Science (3)
Prerequisite(s): Either CMSC 330 and CMSC 335, CMSC 320 (or CMIS 320) and CMSC 345, or SDEV 425. An overview of computer technologies, with an emphasis on integration of concepts, practical application, and critical thinking. The goal is to research, plan, conduct, and complete collaborative computer-related projects in compliance with schedule deadlines. Analysis covers innovative and emerging issues in computer science. Assignments include working in teams throughout the analysis, design, development, implementation, testing, and documentation phases of the projects, including periodic peer reviews.
Start date has passed. Please register for the next start date.
54511 6982 12 Jun 2024-06 Aug 2024 Open Online
Faculty: Mujeye, Douglas Syllabus Course Materials
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