CS2013-final-report

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Knowledge Units in a Typical Major (Common Core) This mapping includes the four core courses in the BCTC A.S. computer science transfer degree. The computer science credits together with the required general education (not shown) credits earned at BCTC are accepted for transfer at all public four-year colleges/universities in Kentucky, including the University of Kentucky, a land-grant research institution. Most private Kentucky colleges/universities also fully accept the transfer of this associate-degree program. Notation: < 25% of KU covered # 25-75% of KU covered # > 75% of KU covered # CS 115: Intro. to Computer Programming CS 215: Intro. to Program Design, Problem Solving CS 216: Intro. to Software Engineering CS 275: Discrete Mathematics % Tier 1 % Tier 2 AL AR Basic Analysis 1 2 1 Algorithmic Strategies 2 2 2 Fund. DS & Alg. 9 Basic Autom. & Comp. Digital Logic 1 Machine-level rep. of data 3 Assembly level mach. org. Memory org. and arch. 3 Interfacing and comm. 84 33 n/a 44 CN Fundamentals 0 n/a Sets, Relations, & Functions 4 Basic Logic 9 DS Proof Techniques 11 Basics of Counting 5 Graphs & Trees 1 3 Discrete Probability 6 100 50 GV Fundamental Concepts 0 0 HCI Foundations 2 2 Designing Interaction 2 100 50 - 467 -
Notation: < 25% of KU covered # 25-75% of KU covered # > 75% of KU covered # CS 115: Intro. to Computer Programming CS 215: Intro. to Program Design, Problem Solving CS 216: Intro. to Software Engineering CS 275: Discrete Mathematics % Tier 1 % Tier 2 Fund. Concepts in Security Principles of Secure Design IAS Defensive Programming 1 1 Threats and Attacks 33 17 Network Security Cryptography IM Info. Management Concepts Database Systems Data Modeling 3 0 33 Fundamental Issues IS Basic Search Strategies Basic Knowledge Rep. n/a 0 Basic Machine Learning Introduction Networked Applications NC Reliable Data Delivery Routing and Forwarding Local Area Networks 0 0 Resource Allocation Mobility - 468 -
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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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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 444 and 445: AR Digital logic and digital system
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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
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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
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Page 468 and 469: Bluegrass Community and Technical C
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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 498 and 499: Knowledge Units in a Typical Major
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
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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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