CS2013-final-report

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NC/Local Area Networks [1.5 Core-Tier2 hours] Topics: • Multiple Access Problem • Common approaches to multiple access (exponential-backoff, time division multiplexing, etc) • Local Area Networks • Ethernet • Switching Learning Outcomes: 1. Describe how frames are forwarded in an Ethernet network. [Familiarity] 2. Describe the differences between IP and Ethernet. [Familiarity] 3. Describe the interrelations between IP and Ethernet. [Familiarity] 4. Describe the steps used in one common approach to the multiple access problem. [Familiarity] NC/Resource Allocation [1 Core-Tier2 hours] Topics: • Need for resource allocation • Fixed allocation (TDM, FDM, WDM) versus dynamic allocation • End-to-end versus network assisted approaches • Fairness • Principles of congestion control • Approaches to Congestion (e.g., Content Distribution Networks) Learning Outcomes: 1. Describe how resources can be allocated in a network. [Familiarity] 2. Describe the congestion problem in a large network. [Familiarity] 3. Compare and contrast fixed and dynamic allocation techniques. [Assessment] 4. Compare and contrast current approaches to congestion. [Assessment] NC/Mobility [1 Core-Tier2 hours] Topics: • Principles of cellular networks • 802.11 networks • Issues in supporting mobile nodes (home agents) Learning Outcomes: 1. Describe the organization of a wireless network. [Familiarity] 2. Describe how wireless networks support mobile users. [Familiarity] - 133 -
NC/Social Networking [Elective] Topics: • Social networks overview • Example social network platforms • Structure of social network graphs • Social network analysis Learning Outcomes: 1. Discuss the key principles (such as membership, trust) of social networking. [Familiarity] 2. Describe how existing social networks operate. [Familiarity] 3. Construct a social network graph from network data. [Usage] 4. Analyze a social network to determine who the key people are. [Usage] 5. Evaluate a given interpretation of a social network question with associated data. [Assessment] - 134 -
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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
Page 85 and 86: Graphics and Visualization (GV) Com
Page 87 and 88: GV/Fundamental Concepts [2 Core-Tie
Page 89 and 90: GV/Geometric Modeling [Elective] To
Page 91 and 92: GV/Visualization [Elective] Visuali
Page 93 and 94: HCI/Foundations [4 Core-Tier1 hours
Page 95 and 96: HCI/User-Centered Design and Testin
Page 97 and 98: Learning Outcomes: 1. Explain basic
Page 99 and 100: o Game engines o Mobile augmented r
Page 101 and 102: IAS. Information Assurance and Secu
Page 103 and 104: OS/Concurrency 1.5 OS/Scheduling an
Page 105 and 106: SP/Social Context 0.5 SP/Analytical
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Page 113 and 114: Learning outcomes: 1. Describe the
Page 115 and 116: Information Management (IM) Informa
Page 117 and 118: • Design of core DBMS functions (
Page 119 and 120: 3. Demonstrate use of the relationa
Page 121 and 122: IM/Physical Database Design [Electi
Page 123 and 124: • Presentation, rendering, synchr
Page 125 and 126: IS/Fundamental Issues [1 Core-Tier2
Page 127 and 128: 4. Describe over-fitting in the con
Page 129 and 130: IS/Agents [Elective] Cross-referenc
Page 131 and 132: Learning Outcomes: 1. Explain the d
Page 133 and 134: Networking and Communication (NC) T
Page 135: NC/Networked Applications [1.5 Core
Page 139 and 140: OS/Overview of Operating Systems [2
Page 141 and 142: OS/Memory Management [3 Core-Tier2
Page 143 and 144: OS/File Systems [Elective] Topics:
Page 145 and 146: Platform-Based Development (PBD) Pl
Page 147 and 148: Learning Outcomes: 1. Design and im
Page 149 and 150: Because the terminology of parallel
Page 151 and 152: PD/Parallelism Fundamentals [2 Core
Page 155 and 156: • Topologies o Interconnects o Cl
Page 157 and 158: o Software as a service o Security
Page 159 and 160: PL. Programming Languages (8 Core-T
Page 161 and 162: PL/Functional Programming [3 Core-T
Page 163 and 164: o o o Enforce invariants during cod
Page 165 and 166: PL/Compiler Semantic Analysis [Elec
Page 167 and 168: • Metaprogramming: Macros, Genera
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Page 171 and 172: emphasize formal analysis (e.g., Bi
Page 173 and 174: Learning Outcomes: 1. Analyze and e
Page 175 and 176: Software Engineering (SE) In every
Page 177 and 178: such system are assigned to the cor
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Page 181 and 182: SE/Tools and Environments [2 Core-T
Page 183 and 184: SE/Software Design [3 Core-Tier1 ho
Page 185 and 186: [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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