CS2013-final-report

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SDF Also see Introductory Sequences (at end of table) 449 Portland Community College Harvey Mudd College Clemson University Worchester Polytechnic Inst. CIS133J: Java Programming I CS5: Introduction to Computer Science 215 Software Development Foundations CS1101: Introduction to Program Design 388 391 394 397 (U. of Pennsylvania Programming Languages and Techniques I) (Miami University Data Abstraction) (Princeton University COS126: General Computer Science) (Brown Univ. CSCI 0190: Accelerated Intro. to Computer Science) SE Embry Riddle Aeronautical U. Software Engineering Practices U. California Berkeley CS169 Software Engineering Milwaukee School of Engineering SE 2890:Software Engineering Practices Quinnipiac University Software Development (Clemson University 215 Software Development Foundations) (Colorado State University CS453: Introduction to Compilers) (Harvard CS175 Computer Graphics) (Williams College CS371: Computer Graphics) (Brown University CSCI 0190: Accelerated Intro. to Computer Science) SF Georgia Tech CS 2200: Computer Systems and Networks UC Berkeley CS 61c: Great Ideas in Computer Architecture U. Washington CSE 333: System Programming SP U. of Maryland, Univ. College IFSM 304 Ethics in Technology Carnegie Mellon University Technology Consulting in the Community Saint Xavier University Issues in Computing Anne Arundel Community College Ethics & the Information Age (CSI 194) Miami University (Oxford, OH) Technology, Ethics, and Global Society Northwest Missouri State U. Professional Development Seminar 377 400 443 447 402 406 409 411 394 348 274 277 447 414 418 420 423 426 430 433 301 433 Introductory Sequences (Grinnell College The Digital Age) Creighton University CSC221: Introduction to Programming CSC222: Object-Oriented Programming Grinnell College CSC207: Algorithms and Object-Oriented Design CSC161: Imperative Problem Solving and Data Structures CSC151: Functional problem solving 439 449 450 452 454 460 458 456 - 231 -
ACM/IEEE-CS <strong>CS2013</strong> Course-Exemplar Template: Total length should not exceed 4 pages, 2-3 pages preferred Course Exemplar Template (Name of Course, Institution) Location of Institution Your Name Email Address Permanent URL where additional materials and information are available (this may be course website for a recent offering assuming it is public) Knowledge Areas that contain topics and learning outcomes covered in the course [List Knowledge Area(s) and associated acronym. It might be easier to complete this table last – especially the total hours] Knowledge Area Name (e.g., Systems Fundamentals (SF)) Total Hours of Coverage Number Where does the course fit in your curriculum [In what year do students commonly take the course Is it compulsory Does it have pre-requisites, required following courses How many students take it] What is covered in the course [A short description, and/or a concise list of topics - possibly from your course syllabus.(This is likely to be your longest answer)] What is the format of the course [Is it face-to-face, online or blended How many contact hours Does it have lectures, lab sessions, discussion classes] How are students assessed [What type, and number, of assignments are students are expected to do (papers, problem sets, programming projects, etc.). How long do you expect students to spend on completing assessed work] Course textbooks and materials [A brief description of materials used (e.g., textbooks, programming languages, environments etc.)] Why do you teach the course this way [A description of the course rationale and goals. If you know, please indicate the history and background of the course and when it was last reviewed/revised. Do students typically consider this course to be challenging] - 232 -
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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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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 237 and 238: CSCI 140: Algorithms, Pomona Colleg
Page 239 and 240: AL PD advanced data structures algo
Page 241 and 242: What is the format of the course Th
Page 243 and 244: CS 256 Algorithm Design and Analysi
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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
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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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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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