CS2013-final-report

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Body of Knowledge coverage For each CSinParellel module in the grids below, we indicate with an ‘x’ if a given module contains coverage of Core (either Tier1 or Tier2) topics from a given Knowledge Unit. This provides an overview of the topical coverage for each CSinParallel module. The interested reader can get detailed information on each module from the CSinParallel.org website. (Knowledge Areas not covered by any CSinParallel module are not listed below.) 1: Map-reduce for CS1/WMR 2: Multicore Programming 3: Concurrent Data Structures 4: Parallel Computing Concepts 5: Parallel Sorting 6: Parallelism in Prog. Languages 7: Patternlets 8: GPU programming 9: Heterogeneous Computing 10: Distributed Comp. Fundamentals 11: Pi Calculus 12: Drug design 13: Pi/numerical integration 14: Advanced Map- Reduce Intro/WMR Basic Analysis x AL Algorithmic Strategies Fund. DS & Alg. x Basic Autom. & Comp. Digital Logic x x x Machine-level rep. of data x x AR Assembly level mach. org. Memory org. and arch. x Interfacing and comm. CN Fundamentals x x Sets, Relations, & Functions Basic Logic x DS Proof Techniques Basics of Counting x Graphs & Trees Discrete Probability - 345 -
1: Map-reduce for CS1/WMR 2: Multicore Programming 3: Concurrent Data Structures 4: Parallel Computing Concepts 5: Parallel Sorting 6: Parallelism in Prog. Languages 7: Patternlets 8: GPU programming 9: Heterogeneous Computing 10: Distributed Comp. Fundamentals 11: Pi Calculus 12: Drug design 13: Pi/numerical integration 14: Advanced Map- Reduce Intro/WMR Info. Management Concepts x x IM Database Systems Data Modeling Overview of OS Operating Systems Principles OS Concurrency Scheduling and Dispatch x x x x Memory Management x Security and Protection Parallelism Fundamentals x x x x x x x x x x x x x Parallel Decomposition x x x x x x x x x x PD Comm. & Coord. x x x x x x x x x Parallel Algorithms x x x x x x x x Parallel Architecture x Algorithms and Design x x x x x SDF Fund. Prog. Concepts x x x Fund. DS x x x x Development Methods x x - 346 -
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Computer Science Curricula 2013 Cur
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Computer Science Curricula 2013 Cop
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CS2013 Steering Committee ACM Deleg
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Chapter 5: Introductory Courses ...
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CC152: Computer Architecture and En
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Programming Languages and Technique
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Chapter 1: Introduction ACM and IEE
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KA subcommittee Chairs (as members
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Knowledge Areas The CS2013 Body of
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of the implications of social respo
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Manaris (College of Charleston), Sa
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Chapter 2: Principles Early in its
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novel, interesting, and effective w
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Appreciation of the interplay betwe
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to be able to communicate with, and
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● The learning outcomes and hour
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● Many strong computer-science cu
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include appropriate elective materi
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We use three levels of mastery, def
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Parallel and Distributed Computing
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select topics from Tier-2 (to inclu
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common“CS0” courses: precursor
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Tradeoffs: A programming-focused in
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Parallel Processing Traditionally,
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Chapter 6: Institutional Challenges
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Computer Science Across Campus An a
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programs do not have an explicit li
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accessible, building interdisciplin
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provide for assessing the effective
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AL. Algorithms and Complexity (19 C
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[Core-Tier2] 7. Describe various he
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Learning Outcomes: 1. Define the cl
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Architecture and Organization (AR)
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7. Evaluate the functional and timi
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AR/Interfacing and Communication [1
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Computational Science (CN) Computat
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CN/Introduction to Modeling and Sim
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CN/Processing [Elective] The proces
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CN/Data, Information, and Knowledge
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Discrete Structures (DS) Discrete s
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DS/Basic Logic [9 Core-Tier1 hours]
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DS/Graphs and Trees [3 Core-Tier1 h
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Graphics and Visualization (GV) Com
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GV/Fundamental Concepts [2 Core-Tie
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GV/Geometric Modeling [Elective] To
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GV/Visualization [Elective] Visuali
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HCI/Foundations [4 Core-Tier1 hours
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HCI/User-Centered Design and Testin
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Learning Outcomes: 1. Explain basic
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o Game engines o Mobile augmented r
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IAS. Information Assurance and Secu
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OS/Concurrency 1.5 OS/Scheduling an
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SP/Social Context 0.5 SP/Analytical
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11. Discuss the importance of usabi
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Learning outcomes: [Core-Tier2] 1.
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Learning outcomes: 1. Describe the
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Information Management (IM) Informa
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• Design of core DBMS functions (
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3. Demonstrate use of the relationa
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IM/Physical Database Design [Electi
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• Presentation, rendering, synchr
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IS/Fundamental Issues [1 Core-Tier2
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4. Describe over-fitting in the con
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IS/Agents [Elective] Cross-referenc
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Learning Outcomes: 1. Explain the d
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Networking and Communication (NC) T
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NC/Networked Applications [1.5 Core
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NC/Social Networking [Elective] Top
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OS/Overview of Operating Systems [2
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OS/Memory Management [3 Core-Tier2
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OS/File Systems [Elective] Topics:
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Platform-Based Development (PBD) Pl
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Learning Outcomes: 1. Design and im
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Because the terminology of parallel
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PD/Parallelism Fundamentals [2 Core
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• Topologies o Interconnects o Cl
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o Software as a service o Security
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PL. Programming Languages (8 Core-T
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PL/Functional Programming [3 Core-T
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o o o Enforce invariants during cod
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PL/Compiler Semantic Analysis [Elec
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• Metaprogramming: Macros, Genera
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PL/Language Pragmatics [Elective] T
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emphasize formal analysis (e.g., Bi
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Learning Outcomes: 1. Analyze and e
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Software Engineering (SE) In every
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such system are assigned to the cor
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Learning Outcomes: [Core-Tier1] 1.
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SE/Tools and Environments [2 Core-T
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SE/Software Design [3 Core-Tier1 ho
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[Elective] • Potential security p
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o o o o Code segments Libraries and
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Systems Fundamentals (SF) The under
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2. Describe how hardware, VM, OS, a
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2. Describe the scheduling algorith
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Social Issues and Professional Prac
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understanding of our commitment to
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Learning Outcomes: 1. Evaluate stak
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Learning Outcomes: [Core-Tier1] 1.
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[Elective] 8. Discuss ways to influ
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• Differences in access to comput
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Appendix B: Migrating to CS2013 A g
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and are treated as a topic geared t
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GV The storage of analog signals in
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SDF This new knowledge area pulls t
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Table B-3: Core Learning Topics and
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Table B-4: New and Expanded Core Le
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IAS Core-Tier1: • Analyze the tra
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IS NC Core-Tier2: • Translate a n
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• Describe at least one design te
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• Explain why the creation of cor
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• Use refactoring in the process
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• Apply simple algorithms for exp
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Appendix C: Course Exemplars While
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IS U. San Francisco Artificial Inte
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ACM/IEEE-CS CS2013 Course-Exemplar
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CSCI 140: Algorithms, Pomona Colleg
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AL PD advanced data structures algo
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What is the format of the course Th
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CS 256 Algorithm Design and Analysi
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and other applications including Ba
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• Data races and higher-level rac
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CS/ECE 552: Introduction to Compute
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Body of Knowledge coverage KA Knowl
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AR Assembly Level Machine Organizat
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Altruism/Collaboration/Competition,
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everyday lives, and therefore at le
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COSC/MATH 201: Modeling and Simulat
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ehaviors, simplifying assumptions;
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MAT 267: Discrete Mathematics, Unio
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Identify a problem and analyze it i
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CS109 covers: • Counting • Comb
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CS 250 - Discrete Structures I, Por
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CS 251 - Discrete Structures II, Po
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DS Graphs and Trees Tree, tree trav
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The course gives an overview to a v
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CS371: Computer Graphics, Williams
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Texture mapping, including minifica
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Other materials are: R and RStudio
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3. Assignment (20% + 10%) Due in we
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CO328: Human Computer Interaction,
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Human Computer Interaction, Univers
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Human-Computer Interaction, Stanfor
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Human Information Processing (HIP),
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Software and Interface Design, Univ
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Page 302 and 303: Ullman and Widom, 2 nd edition, Pre
Page 304 and 305: Technology, Ethics, and Global Soci
Page 306 and 307: SP Professional Communication These
Page 310 and 311: Why do you teach the course this wa
Page 312 and 313: search, probabilistic reasoning, lo
Page 314 and 315: Students are expected to spend abou
Page 316 and 317: CS188: Artificial Intelligence, Uni
Page 318 and 319: Introduction to Artificial Intellig
Page 326 and 327: Computer Networks, Williams College
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Page 330 and 331: CSCI 432 Operating Systems, William
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Page 334 and 335: Assignment Five: Memory management
Page 340 and 341: Programming Language: C Assignment
Page 342 and 343: Parallel Programming Principle and
Page 344 and 345: PD Parallel Algorithms, Analysis, a
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Page 354 and 355: Csc 453: Translators and Systems So
Page 356 and 357: CSCI 434T: Compiler Design, William
Page 358 and 359: AR Machine-level representation of
Page 362 and 363: Languages and Compilers, Utrecht Un
Page 364 and 365: COMP 412: Topics in Compiler Constr
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Page 370 and 371: CSCI 1730: Introduction to Programm
Page 372 and 373: CSC 2/454: Programming Language Des
Page 374 and 375: PL Runtime Systems Data layout; sto
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Page 386 and 387: PL Event-driven and Reactive Progra
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Page 390 and 391: PL Type systems Compositional type
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Page 394 and 395: Introduction to Computer Science, H
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• Analytical Reasoning: Assertion
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CS1101: Introduction to Program Des
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Finally, the design process from
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documentation activity that occurs
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Why do you teach the course this wa
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SE Software Validation and Verifica
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Cloud computing and the shift in th
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SE-2890 Software Engineering Practi
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Software Development, Quinnipiac Un
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• Networking subsystem focusing o
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SF Input/output Programmed data tra
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◦ C preprocessors, multifile prog
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Ethics in Technology (IFSM304), Uni
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Analyze basic logical fallacies in
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Specific topics include: • Capaci
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Additional topics The sustainabilit
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How are students assessed The basic
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Ethics & the Information Age (CSI 1
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SP Intellectual Property Overview a
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privacy. Students are asked to shar
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The Digital Age, Grinnell College G
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AR Digital logic and digital system
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COS 126: General Computer Science,
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Prospective computer science majors
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CSCI 0190: Accelerated Introduction
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An Overview of the Two-Course Intro
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Course textbooks and materials Free
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programming (scripting) is covered
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One way to document this spiral app
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3. Data types and structures 1. pri
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◦ Comparison of results for small
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Appendix D: Curricular Exemplars Th
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Bluegrass Community and Technical C
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Knowledge Units in a Typical Major
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Notation: < 25% of KU covered # 25-
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Appendix: Information on Individual
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Curricular Analysis The Knowledge U
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management, the Internet, e-mail, t
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Mathematical Foundations (two desig
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Multi-paradigm, Introductory Sequen
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Additional Comments Although the ex
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CSC 312 - Implementation of Program
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• Biocomputation • Unspecialize
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Additional Comments We instituted a
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CS 145: Introduction to Databases T
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Williams College Department of Comp
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Possible Curricular Revisions Note
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CSCI 237 - Computer Organization Th
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surface scattering functions, binar
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A Cooperative Project of
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