CS2013-final-report

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Table C1: Exemplars by Knowledge Area NOTE: Courses listed below in parentheses have a secondary emphasis in this area. KA Course Page Course Exemplar Template 232 AL Pomona College CSCI 140: Algorithms 234 Princeton University COS 226: Algorithms and Data Structures 237 Williams College CSCI 256: Algorithm Design and Analysis 240 U. Washington CSE332: Data Abstractions 243 (Grinnell College CSC207: Algorithms and Object-Oriented Design) (Princeton University COS126: General Computer Science) (Utrect Languages and Compilers) (Harvey Mudd College CS5: Intro to Computer Science) (Portland Community College Discrete Structures 2) (Reykjavik University Operating Systems) (Carnegie Mellon University CS 150: Functional Programming) (Creighton University CSC222 Object-Oriented Programming) AR U. Wisconsin-Madison CS522: Intro to Computer Architecture UC Berkeley CS150: Digital Logic Design UC Berkeley CS152: Computer Engineering (Grinnell College The Digital Age) (Harvey Mudd College CS5: Intro to Computer Science) (Princeton University COS126 General Computer Sience) CN UNC Charlotte eScience Wofford College COSC/Math 201: Modeling and Simulation (Harvard University CS175 Computer Graphics) DS Union County College MAT 267 Discrete Mathematics Stanford University Portland Community College Discrete Structures 1 Portland Community College Discrete Structures 2 CS103/CS109: Mathematical Foundations of CS and Probability for CS (Carnegie Mellon University 15-312 Principles of Programming Languages) (Carnegie Mellon University 15-150 Functional Programming) GV Harvard CS175:Computer Graphics Williams College CS371: Computer Graphics (Grinnell College CSC151 Functional Problem Solving) HCI University of York, UK Human Aspects of Computer Science Monash University FIT3063 Human Computer Interaction University of Kent Human Computer Interaction Miami University CS 262 Technology, Ethics, and Global Society University of Cambridge Human Computer Interaction Stanford University Human Computer Interaction (Open University Netherlands Human Information Processing) (University of Cambridge Software and Interface Design) IAS Lewis and Clark State College CS 475 Computer Systems Security 460 443 359 391 271 336 384 452 246 249 251 439 391 443 253 258 262 265 268 271 380 384 274 277 456 280 282 285 287 289 291 293 295 (Colorado State University Database Systems) 298 IM Colorado State Universit Database Systems 298 - 229 -
IS U. San Francisco Artificial Intelligence Programming Politecnico di Milano Intelligenza Artificiale U. Maryland, Baltimore County Introduction to Artificial Intelligence Case Western Reserve Univ. Artificial Intelligence UC Berkeley CS188: Artificial Intelligence University Hartford Artificial Intelligence (U. North Carolina Charlotte eScience) NC Case Western Reserve U. Computer Networks I Stanford University CS144: Introduction to Computer Networking Williams College Computer Networks (Reykjavik University Operating Systems) OS Williams College CSCI 432: Operating Systems Embry Riddle Aeronautical U. CS 420: Operating Systems University of Ark. Little Rock CPSC 3380: Operating Systems University. of Helsinki 582219 Operating Systems Reykjavik University RU STY1 Operating Systems 304 306 308 310 313 315 253 318 320 323 336 327 330 332 334 336 PD PL (Carnegie Mellon University 15-312 Principles of Programming Languages) Huazhong U. Of Science and Tech. Parallel Programming Principle and Practice Nizhni Novgorod State University Introduction to Parallel Programming CSInParallel.org CS in Parallel (course modules on parallel computing) (Carnegie Mellon University CS 150: Functional Programming) (U. Washington CSE 332: Data Abstractions) (U. of Arkansas. Little Rock CPSC 3380: Operating Systems) (Embry Riddle Aeronautical U. CS 420: Operating Systems) (Williams College CSCI 334: Principles of Programming Languages) Compilers Colorado State University CS 453: Introduction to Compilers U. Arizona, Tucson CSC 453: Translators and Systems Software Williams College CSCI 434T: Compiler Design Utrect Languages and Compilers Stanford University Compilers Rice Topics in Compiler Construction Programming Languages Pomona College CS 131: Principles of Programming Languages Brown University CSCI 1730: Introduction to Programming U. of Rochester Programming Language Design and Implementation U. Washington Programming Languages Williams College CSCI 334 Principles of Programming U. of Pennsylvania Programming Languages and Techniques I (Carnegie Mellon University 15-312 Principles of Programming Languages) (Carnegie Mellon University 15-150 Functional Programming) (Brown University CSCI 0190: Accelerated Intro. to Computer Science) (Grinnell College CSC151 Functional Problem Solving) (Grinnell College CSC161 Imperative Problem Solving) (Grinnell College CSC207 Algorithms and Object-Oriented Design) (Clemson University 215 Software Development Foundations) (Creighton University CS222 Object Oriented Programming) (Portland Community College CIS 133J: Java Programming I) (Worchester Polytechnic Inst. CS1101: Introduction to Program Design) 380 339 342 344 384 243 332 330 374 348 351 353 359 356 361 364 367 369 372 374 377 380 384 447 456 458 460 394 452 388 397 - 230 -
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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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Page 183 and 184: SE/Software Design [3 Core-Tier1 ho
Page 185 and 186: [Elective] • Potential security p
Page 187 and 188: o o o o Code segments Libraries and
Page 189 and 190: Systems Fundamentals (SF) The under
Page 191 and 192: 2. Describe how hardware, VM, OS, a
Page 193 and 194: 2. Describe the scheduling algorith
Page 195 and 196: Social Issues and Professional Prac
Page 197 and 198: understanding of our commitment to
Page 199 and 200: Learning Outcomes: 1. Evaluate stak
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Page 203 and 204: [Elective] 8. Discuss ways to influ
Page 205 and 206: • Differences in access to comput
Page 207 and 208: Appendix B: Migrating to CS2013 A g
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Page 211 and 212: GV The storage of analog signals in
Page 213 and 214: SDF This new knowledge area pulls t
Page 215 and 216: Table B-3: Core Learning Topics and
Page 217 and 218: Table B-4: New and Expanded Core Le
Page 219 and 220: IAS Core-Tier1: • Analyze the tra
Page 221 and 222: IS NC Core-Tier2: • Translate a n
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Page 227 and 228: • Use refactoring in the process
Page 229 and 230: • Apply simple algorithms for exp
Page 231: Appendix C: Course Exemplars While
Page 235 and 236: ACM/IEEE-CS CS2013 Course-Exemplar
Page 237 and 238: CSCI 140: Algorithms, Pomona Colleg
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Page 241 and 242: What is the format of the course Th
Page 243 and 244: CS 256 Algorithm Design and Analysi
Page 245 and 246: and other applications including Ba
Page 247 and 248: • Data races and higher-level rac
Page 249 and 250: CS/ECE 552: Introduction to Compute
Page 251 and 252: Body of Knowledge coverage KA Knowl
Page 253 and 254: AR Assembly Level Machine Organizat
Page 255 and 256: Body of Knowledge coverage KA Knowl
Page 257 and 258: Altruism/Collaboration/Competition,
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Page 261 and 262: COSC/MATH 201: Modeling and Simulat
Page 263 and 264: ehaviors, simplifying assumptions;
Page 265 and 266: MAT 267: Discrete Mathematics, Unio
Page 267 and 268: Identify a problem and analyze it i
Page 269 and 270: CS109 covers: • Counting • Comb
Page 271 and 272: CS 250 - Discrete Structures I, Por
Page 274 and 275: CS 251 - Discrete Structures II, Po
Page 276 and 277: DS Graphs and Trees Tree, tree trav
Page 278 and 279: The course gives an overview to a v
Page 280 and 281: 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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Body of Knowledge coverage KA Knowl
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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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