CS2013-final-report

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Notation: < 25% of KU covered # 25-75% of KU covered # > 75% of KU covered # CS 115: Comp. Programming CS 215: Problem Solving, etc. CS 216: Software Engineering CS 275: Discrete Mathematics CIT 105: Intro. to Computers CIT 111: Hardware & Software CIT 150: Internet Technologies CIT 160: Networking CIT 170: Database Fundamentals CIT 180: Security Fundamentals % Tier 1 % Tier 2 Fund. Concepts in Security Principles of Secure Design IAS IM Defensive Programming 1 1 Threats and Attacks 1 Network Security 2 Cryptography 1 Info. Management Concepts 3 Database Systems 3 Data Modeling 3 4 33 83 100 100 IS NC Fundamental Issues Basic Search Strategies Basic Knowledge Rep. Basic Machine Learning Introduction 1.5 Networked Applications 1.5 Reliable Data Delivery 2 Routing and Forwarding 1.5 Local Area Networks 1.5 Resource Allocation 1 Mobility 1 n/a 0 100 100 - 475 -
Notation: < 25% of KU covered # 25-75% of KU covered # > 75% of KU covered # CS 115: Comp. Programming CS 215: Problem Solving, etc. CS 216: Software Engineering CS 275: Discrete Mathematics CIT 105: Intro. to Computers CIT 111: Hardware & Software CIT 150: Internet Technologies CIT 160: Networking CIT 170: Database Fundamentals CIT 180: Security Fundamentals % Tier 1 % Tier 2 OS PD PL SDF Overview of OS 2 1 1 Operating Systems Principles 1 1 Concurrency 3 Scheduling and Dispatch Memory Management 3 Security and Protection Parallelism Fundamentals 1 Parallel Decomposition Comm. & Coord. Parallel Algorithms Parallel Architecture Object-Oriented Programming 3 5 Functional Programming Event-Driven & React. Prog. Basic Type Systems Program Representation Language Translation Algorithms and Design 9 1 1 Fund. Prog. Concepts 7 3 Fund. DS 2 10 Development Methods 10 100 55 20 0 38 25 100 n/a - 476 -
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Computer Science Curricula 2013 Cur
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Computer Science Curricula 2013 Cop
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CS2013 Steering Committee ACM Deleg
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Chapter 5: Introductory Courses ...
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CC152: Computer Architecture and En
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Programming Languages and Technique
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Chapter 1: Introduction ACM and IEE
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KA subcommittee Chairs (as members
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Knowledge Areas The CS2013 Body of
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of the implications of social respo
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Manaris (College of Charleston), Sa
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Chapter 2: Principles Early in its
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novel, interesting, and effective w
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Appreciation of the interplay betwe
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to be able to communicate with, and
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● The learning outcomes and hour
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● Many strong computer-science cu
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include appropriate elective materi
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We use three levels of mastery, def
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Parallel and Distributed Computing
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select topics from Tier-2 (to inclu
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common“CS0” courses: precursor
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Tradeoffs: A programming-focused in
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Parallel Processing Traditionally,
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Chapter 6: Institutional Challenges
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Computer Science Across Campus An a
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programs do not have an explicit li
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accessible, building interdisciplin
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provide for assessing the effective
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AL. Algorithms and Complexity (19 C
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[Core-Tier2] 7. Describe various he
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Learning Outcomes: 1. Define the cl
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Architecture and Organization (AR)
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7. Evaluate the functional and timi
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AR/Interfacing and Communication [1
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Computational Science (CN) Computat
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CN/Introduction to Modeling and Sim
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CN/Processing [Elective] The proces
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CN/Data, Information, and Knowledge
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Discrete Structures (DS) Discrete s
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DS/Basic Logic [9 Core-Tier1 hours]
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DS/Graphs and Trees [3 Core-Tier1 h
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Graphics and Visualization (GV) Com
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GV/Fundamental Concepts [2 Core-Tie
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GV/Geometric Modeling [Elective] To
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GV/Visualization [Elective] Visuali
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HCI/Foundations [4 Core-Tier1 hours
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HCI/User-Centered Design and Testin
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Learning Outcomes: 1. Explain basic
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o Game engines o Mobile augmented r
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IAS. Information Assurance and Secu
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OS/Concurrency 1.5 OS/Scheduling an
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SP/Social Context 0.5 SP/Analytical
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11. Discuss the importance of usabi
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Learning outcomes: [Core-Tier2] 1.
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Learning outcomes: 1. Describe the
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Information Management (IM) Informa
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• Design of core DBMS functions (
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3. Demonstrate use of the relationa
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IM/Physical Database Design [Electi
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• Presentation, rendering, synchr
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IS/Fundamental Issues [1 Core-Tier2
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4. Describe over-fitting in the con
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IS/Agents [Elective] Cross-referenc
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Learning Outcomes: 1. Explain the d
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Networking and Communication (NC) T
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NC/Networked Applications [1.5 Core
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NC/Social Networking [Elective] Top
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OS/Overview of Operating Systems [2
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OS/Memory Management [3 Core-Tier2
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OS/File Systems [Elective] Topics:
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Platform-Based Development (PBD) Pl
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Learning Outcomes: 1. Design and im
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Because the terminology of parallel
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PD/Parallelism Fundamentals [2 Core
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• Topologies o Interconnects o Cl
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o Software as a service o Security
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PL. Programming Languages (8 Core-T
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PL/Functional Programming [3 Core-T
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o o o Enforce invariants during cod
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PL/Compiler Semantic Analysis [Elec
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• Metaprogramming: Macros, Genera
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PL/Language Pragmatics [Elective] T
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emphasize formal analysis (e.g., Bi
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Learning Outcomes: 1. Analyze and e
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Software Engineering (SE) In every
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such system are assigned to the cor
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Learning Outcomes: [Core-Tier1] 1.
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SE/Tools and Environments [2 Core-T
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SE/Software Design [3 Core-Tier1 ho
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[Elective] • Potential security p
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o o o o Code segments Libraries and
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Systems Fundamentals (SF) The under
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2. Describe how hardware, VM, OS, a
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2. Describe the scheduling algorith
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Social Issues and Professional Prac
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understanding of our commitment to
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Learning Outcomes: 1. Evaluate stak
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Learning Outcomes: [Core-Tier1] 1.
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[Elective] 8. Discuss ways to influ
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• Differences in access to comput
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Appendix B: Migrating to CS2013 A g
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and are treated as a topic geared t
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GV The storage of analog signals in
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SDF This new knowledge area pulls t
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Table B-3: Core Learning Topics and
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Table B-4: New and Expanded Core Le
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IAS Core-Tier1: • Analyze the tra
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IS NC Core-Tier2: • Translate a n
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• Describe at least one design te
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• Explain why the creation of cor
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• Use refactoring in the process
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• Apply simple algorithms for exp
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Appendix C: Course Exemplars While
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IS U. San Francisco Artificial Inte
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ACM/IEEE-CS CS2013 Course-Exemplar
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CSCI 140: Algorithms, Pomona Colleg
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AL PD advanced data structures algo
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What is the format of the course Th
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CS 256 Algorithm Design and Analysi
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and other applications including Ba
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• Data races and higher-level rac
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CS/ECE 552: Introduction to Compute
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Body of Knowledge coverage KA Knowl
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AR Assembly Level Machine Organizat
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Altruism/Collaboration/Competition,
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everyday lives, and therefore at le
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COSC/MATH 201: Modeling and Simulat
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ehaviors, simplifying assumptions;
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MAT 267: Discrete Mathematics, Unio
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Identify a problem and analyze it i
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CS109 covers: • Counting • Comb
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CS 250 - Discrete Structures I, Por
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CS 251 - Discrete Structures II, Po
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DS Graphs and Trees Tree, tree trav
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The course gives an overview to a v
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CS371: Computer Graphics, Williams
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Texture mapping, including minifica
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Other materials are: R and RStudio
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3. Assignment (20% + 10%) Due in we
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CO328: Human Computer Interaction,
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Human Computer Interaction, Univers
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Human-Computer Interaction, Stanfor
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Human Information Processing (HIP),
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Software and Interface Design, Univ
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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
Page 428 and 429: Analyze basic logical fallacies in
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Page 432 and 433: Additional topics The sustainabilit
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Page 436 and 437: Ethics & the Information Age (CSI 1
Page 438 and 439: SP Intellectual Property Overview a
Page 440 and 441: privacy. Students are asked to shar
Page 442 and 443: The Digital Age, Grinnell College G
Page 444 and 445: AR Digital logic and digital system
Page 446 and 447: COS 126: General Computer Science,
Page 448 and 449: Prospective computer science majors
Page 450 and 451: CSCI 0190: Accelerated Introduction
Page 452 and 453: An Overview of the Two-Course Intro
Page 454 and 455: Course textbooks and materials Free
Page 456 and 457: programming (scripting) is covered
Page 458 and 459: One way to document this spiral app
Page 460 and 461: 3. Data types and structures 1. pri
Page 462 and 463: Body of Knowledge coverage KA Knowl
Page 464 and 465: ◦ Comparison of results for small
Page 466 and 467: Appendix D: Curricular Exemplars Th
Page 468 and 469: Bluegrass Community and Technical C
Page 470 and 471: Knowledge Units in a Typical Major
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Page 474 and 475: Appendix: Information on Individual
Page 476 and 477: Curricular Analysis The Knowledge U
Page 482 and 483: management, the Internet, e-mail, t
Page 484 and 485: Mathematical Foundations (two desig
Page 486 and 487: Multi-paradigm, Introductory Sequen
Page 492 and 493: Additional Comments Although the ex
Page 494 and 495: CSC 312 - Implementation of Program
Page 496 and 497: • Biocomputation • Unspecialize
Page 502 and 503: Additional Comments We instituted a
Page 504 and 505: CS 145: Introduction to Databases T
Page 506 and 507: Williams College Department of Comp
Page 512 and 513: Possible Curricular Revisions Note
Page 514 and 515: CSCI 237 - Computer Organization Th
Page 516 and 517: surface scattering functions, binar
Page 518: A Cooperative Project of
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