CS2013-final-report

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Information Management (IM)............................................................................................... 112 Intelligent Systems (IS) .......................................................................................................... 121 Networking and Communication (NC)................................................................................... 130 Operating Systems (OS) ......................................................................................................... 135 Platform-Based Development (PBD) ..................................................................................... 142 Parallel and Distributed Computing (PD)............................................................................... 145 Programming Languages (PL)................................................................................................ 155 Software Development Fundamentals (SDF) ......................................................................... 167 Software Engineering (SE) ..................................................................................................... 172 Systems Fundamentals (SF).................................................................................................... 186 Social Issues and Professional Practice (SP) .......................................................................... 192 Appendix B: Migrating to <strong>CS2013</strong> ............................................................................................. 204 Outcomes ................................................................................................................................ 204 Changes in Knowledge Area Structure ................................................................................... 205 Core Comparison .................................................................................................................... 206 Conclusions ............................................................................................................................. 211 Appendix C: Course Exemplars.................................................................................................. 228 Course Exemplar Template .................................................................................................... 232 CSCI 140: Algorithms, Pomona College ................................................................................ 234 COS 226: Algorithms and Data Structures, Princeton University .......................................... 237 CS 256 Algorithm Design and Analysis, Williams College ................................................... 240 CSE332: Data Abstractions, University of Washington ......................................................... 243 CS/ECE 552: Introduction to Computer Architecture, University of Wisconsin ................... 246 CS150: Digital Components and Design, University of California, Berkeley ....................... 249 - 5 -
CC152: Computer Architecture and Engineering, University of California, Berkeley .......... 251 eScience, University of North Carolina at Charlotte .............................................................. 253 COSC/MATH 201: Modeling and Simulation for the Sciences, Wofford College .............. 258 MAT 267: Discrete Mathematics, Union County College ..................................................... 262 CS103: Mathematical Foundations of Computer Science, Stanford University .................... 265 CS109: Probability Theory for Computer Scientists, Stanford University ............................ 265 CS 250 - Discrete Structures I, Portland Community College ............................................... 268 CS 251 - Discrete Structures II, Portland Community College .............................................. 271 CS 175 Computer Graphics, Harvard University ................................................................... 274 CS371: Computer Graphics, Williams College ...................................................................... 277 Human Aspects of Computer Science, University of York .................................................... 280 FIT3063 Human Computer Interaction, Monash University .................................................. 282 CO328: Human Computer Interaction, University of Kent .................................................... 285 Human Computer Interaction, University of Cambridge ....................................................... 287 Human-Computer Interaction, Stanford University ............................................................... 289 Human Information Processing (HIP), Open University Netherlands ................................... 291 Software and Interface Design, University of Cambridge ...................................................... 293 Computer Systems Security (CS-475), Lewis-Clark State College ...................................... 295 CS430: Database Systems, Colorado State University ........................................................... 298 Technology, Ethics, and Global Society (CSE 262), Miami University ................................ 301 CS 662; Artificial Intelligence Programming, University of San Francisco .......................... 304 Intelligenza Artificiale ( Artificial Intelligence), Politecnico di Milano ................................ 306 CMSC 471, Introduction to Artificial Intelligence, U. of Maryland, Baltimore County ....... 308 Introduction to Artificial Intelligence, Case Western Reserve University ............................. 310 - 6 -
Page 1 and 2: Computer Science Curricula 2013 Cur
Page 3 and 4: Computer Science Curricula 2013 Cop
Page 5 and 6: CS2013 Steering Committee ACM Deleg
Page 7: Chapter 5: Introductory Courses ...
Page 11 and 12: Programming Languages and Technique
Page 13 and 14: Chapter 1: Introduction ACM and IEE
Page 15 and 16: KA subcommittee Chairs (as members
Page 17 and 18: Knowledge Areas The CS2013 Body of
Page 19 and 20: of the implications of social respo
Page 21 and 22: Manaris (College of Charleston), Sa
Page 23 and 24: Chapter 2: Principles Early in its
Page 25 and 26: novel, interesting, and effective w
Page 27 and 28: Appreciation of the interplay betwe
Page 29 and 30: to be able to communicate with, and
Page 31 and 32: ● The learning outcomes and hour
Page 33 and 34: ● Many strong computer-science cu
Page 35 and 36: include appropriate elective materi
Page 37 and 38: We use three levels of mastery, def
Page 39 and 40: Parallel and Distributed Computing
Page 41 and 42: select topics from Tier-2 (to inclu
Page 43 and 44: common“CS0” courses: precursor
Page 45 and 46: Tradeoffs: A programming-focused in
Page 47 and 48: Parallel Processing Traditionally,
Page 49 and 50: Chapter 6: Institutional Challenges
Page 51 and 52: Computer Science Across Campus An a
Page 53 and 54: programs do not have an explicit li
Page 55 and 56: accessible, building interdisciplin
Page 57 and 58: 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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Computer Systems Security (CS-475),
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Ullman and Widom, 2 nd edition, Pre
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Technology, Ethics, and Global Soci
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SP Professional Communication These
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Why do you teach the course this wa
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search, probabilistic reasoning, lo
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Students are expected to spend abou
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CS188: Artificial Intelligence, Uni
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Introduction to Artificial Intellig
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Computer Networks, Williams College
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NC Introduction All 1.5 NC Networke
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CSCI 432 Operating Systems, William
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OS Security and Protection Access c
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Assignment Five: Memory management
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Programming Language: C Assignment
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Parallel Programming Principle and
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PD Parallel Algorithms, Analysis, a
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• Grama, A., Gupta, A., Kumar V.
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Body of Knowledge coverage For each
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1: Map-reduce for CS1/WMR 2: Multic
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What is the format of the course Co
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Csc 453: Translators and Systems So
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CSCI 434T: Compiler Design, William
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AR Machine-level representation of
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Languages and Compilers, Utrecht Un
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COMP 412: Topics in Compiler Constr
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separate compilation is the key fea
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programming languages. A major them
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CSCI 1730: Introduction to Programm
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CSC 2/454: Programming Language Des
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PL Runtime Systems Data layout; sto
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How are students assessed Over 10 w
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Programming Languages and Technique
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esults from programming language th
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PL Event-driven and Reactive Progra
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Overall, students learn the followi
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PL Type systems Compositional type
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What is the format of the course Th
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Introduction to Computer Science, H
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PD PD/Parallelism Fundamentals Para
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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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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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