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Computer Science Curriculum 2008

Computer Science Curriculum 2008. Summary by Zaheer. More attention needed on. Security Certain Topics Concurrency Net-centric computing Human computer interaction Software engineering Management information systems Systems issues Professional practice Learning outcomes

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Computer Science Curriculum 2008

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  1. Computer ScienceCurriculum 2008 Summary by Zaheer

  2. More attention needed on • Security • Certain Topics • Concurrency • Net-centric computing • Human computer interaction • Software engineering • Management information systems • Systems issues • Professional practice • Learning outcomes • Communication skills • Teaching of PL and multiple paradigms

  3. Industry feedback • Security • Access, encryption, networking, safe programming • Quality issues • Debugging, reliability, documentation • Software engineering principles and techniques • Release mgmt, source control principles, working in teams • Code archeology • Making sense of big, ill-documented code bases • Performance tuning

  4. Industry feedback • Want students who have contributed to open source • Have industry internships • Have done systems software projects • Good compiler writers (even if the company is not in that business) • The thing that we can't afford to do […] is teach candidates how to think critically, to be effective problem, solvers, and to have basic mastery of programming languages, data structures, algorithms, concurrency, networking, computer architecture, and discrete math / probability / statistics. I can't begin to emphasize the importance of algorithms and data structures to the work we do here

  5. Knowledge Areas • Discrete Structures • Programming Fundamentals • Algorithms and Complexity • Architecture and Organization • Information Management • Net-Centric Computing • Programming Languages • Human-Computer Interaction • Graphics and Visual Computing • Intelligent Systems • Operating Systems • Social and Professional Issues • Software Engineering • Computational Science

  6. Changes • Discrete Structures • Less on purely formal (symbolic) proof, more on rigorous and sound proof arguments. • Programming Fundamentals • More on care and attention in the teaching of basic programming. • Computer Architecture • Less on logic design level, more on architectural issues (multi-core processors, devices) • Net-centric computing • circuit switching, packet switching, streams and datagrams, common gateway interface programs dropped. • service-oriented-architecture and grid computing added.

  7. Changes (contd.) • Intelligent Systems • more on Perception, planning, ontologies, games, or entertainment software • Social and Professional Issues • more on identity theft, cultural issues • Computational Science • Numerical methods have been dropped

  8. Characteristics of Graduates • System-level perspective. • No fragmented view • Appreciation of the interplay between theory and practice. • how that theory influences practice. • Familiarity with common themes and principles. • abstraction, complexity, and evolutionary change. • the principle of locality, sharing a common resource, security, concurrency,

  9. Characteristics of Graduates • Significant project experience • at least one substantial software project • the need for domain knowledge for certain applications • Attention to rigorous thinking • planning, tracking progress, measuring and generally managing quality • Adaptability • enormous pace of change

  10. DS. Discrete Structures (43 core hours) • DS/Functions Relations and Sets (6) • DS/Basic Logic (10) • DS/Proof Techniques (12) • DS/Basics of Counting (5) • DS/Graphs and Trees (4) • DS/Discrete Probability (6)

  11. PF. Programming Fundamentals (47 core hours) • PF/Fundamental Constructs (9) • PF/Algorithmic Problem Solving (6) • PF/Data Structures (10) • PF/Recursion (4) • PF/Event Driven Programming (4) • PF/Object Oriented (8) • PF/Foundations Information Security (4) • PF/Secure Programming (2)

  12. AL. Algorithms and Complexity (31 core hours) • AL/Basic Analysis (4) • AL/Algorithmic Strategies (6) • AL/Fundamental Algorithms (12) • AL/Distributed Algorithms (3) • AL/Basic Computability (6) • AL/P versus NP • AL/Automata Theory • AL/Advanced Analysis • AL/Cryptographic Algorithms • AL/Geometric Algorithms • AL/Parallel Algorithms

  13. AR. Architecture and Organization (36 core hours) • AR/Digital Logic and Data Representation (7) • AR/Computer Architecture and Organization (9) • AR/Interfacing and I/O Strategies (3) • AR/Memory Architecture (5) • AR/Functional Organization (6) • AR/Multiprocessing (6) • AR/Performance Enhancements • AR/Distributed Architectures • AR/Devices • AR/Directions in Computing

  14. OS. Operating Systems (18 core hours) • OS/Overview of Operating Systems (2) • OS/Operating System Principles (2) • OS/Concurrency (6) • OS/Scheduling and Dispatch (3) • OS/Memory Management (3) • OS/Device Management • OS/Security and Protection (2) • OS/File Systems • OS/Real Time and Embedded Systems • OS/Fault Tolerance • OS/System Performance Evaluation • OS/Scripting • OS/Digital Forensics • OS/Security Models

  15. NC. Net-Centric Computing (15 core hours) • NC/Introduction(2) • NC/Network Communication (7) • NC/Network Security (6) • NC/Web Organization • NC/Networked Applications • NC/Network Management • NC/Compression • NC/Multimedia Technologies • NC/Mobile Computing

  16. PL. Programming Languages (21 core hours) • PL/Overview(2) • PL/Virtual Machines(1) • PL/Basic Language Translation(2) • PL/Declarations and Types(3) • PL/Abstraction Mechanisms(3) • PL/Object Oriented Programming(10) • PL/Functional Programming • PL/Language Translation Systems • PL/Type Systems • PL/Programming Language Semantics • PL/Programming Language Design

  17. HC. Human-Computer Interaction (8 core hours) • HC/Foundations (6) • HC/Building GUI Interfaces (2) • HC/User Centered Software Evaluation • HC/User Centered Software Development • HC/GUI Design • HC/GUI Programming • HC/Multimedia and Multimodal Systems • HC/Collaboration and Communication • HC/Interaction Design for new Environments • HC/Human Factors and Security

  18. GV. Graphics and Visual Computing (3 core hours) • GV/Fundamental Techniques (2) • GV/Graphic Systems (1) • GV/Graphic Communication • GV/Geometric Modeling • GV/Basic Rendering • GV/Advanced Rendering • GV/Advanced Techniques • GV/Computer Animation • GV/Visualization • GV/Virtual Reality • GV/Computer Vision • GV/Computational Geometry • GV/Game Engine Programming

  19. IS. Intelligent Systems (10 core hours) • IS/Fundamental Issues (1) • IS/Basic Search Strategies (5) • IS/Knowledge Based Reasoning (4) • IS/Advanced Search • IS/Advanced Reasoning • IS/Agents • IS/Natural Language Processing • IS/Machine Learning • IS/Planning Systems • IS/Robotics • IS/Perception

  20. IM. Information Management (11 core hours) • IM/Information Models (4) • IM/Database Systems (3) • IM/Data Modeling (4) • IM/Indexing • IM/Relational Databases • IM/Query Languages • IM/Relational Database Design • IM/Transaction Processing • IM/Distributed Databases • IM/Physical Database Design • IM/Data Mining • IM/Information Storage and Retrieval • IM/Hypermedia • IM/Multimedia Systems • IM/Digital Libraries

  21. SP. Social and Professional Issues (16 core hours) • SP/History of Computing (1) • SP/Social Context (3) • SP/Analytical Tools (2) • SP/Professional Ethics (3) • SP/Risks (2) • SP/Security Operations • SP/Intellectual Property (3) • SP/Privacy and Civil Liberties (2) • SP/Computer Crime • SP/Economics of Computing • SP/Philosophical Frameworks

  22. SE. Software Engineering (31 core hours) • SE/Software Design (8) • SE/Using APIs (5) • SE/Tools and Environments (3) • SE/Software Processes (2) • SE/Requirements Specifications (4) • SE/Software Verification Validation (3) • SE/Software Evolution (3) • SE/Software Project Management (3) • SE/Component Based Computing • SE/Formal Methods • SE/Software Reliability • SE/Specialized Systems • SE/Risk Assessment • SE/Robust and Security-Enhanced Programming

  23. CN. Computational Science (no core hours) • CN/Modeling and Simulation • CN/Operations Research • CN/Parallel Computation

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