CS2013-final-report

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Body of Knowledge coverage KA Knowledge Unit Topics Covered Hours SP Professional Communication • Reading, understanding and summarizing technical material, including source code and documentation • Writing effective technical documentation and materials • Dynamics of oral, written, and electronic team and group communication • Communicating professionally with stakeholders • Utilizing collaboration tools 6 SDF Development Methods • Program comprehension • Program correctness o The concept of a specification o Testing fundamentals and test-case generation o Test-driven development o Unit testing • Modern programming environments o Programming using library components and their APIs • Debugging strategies • Documentation and program style 6 SE Process Management All in Core-Tier 2 and Elective 12 SE Tools and Environments • Software configuration management and version control; release management • Requirements analysis and design modeling tools • Testing tools including static and dynamic analysis tools Programming environments that automate parts of program construction processes o Continuous integration • Tool integration concepts and mechanisms 6 Additional topics None. Other comments This exemplar demonstrates the results of an NSF-funded collaborative project between Miami University and North Carolina State University (NSF CPATH-II Awards CCF-0939122 and CCF-0939081). The project emphasizes integration of communication outcomes across the entire curriculum. Details on the project can be found at the following dissemination website: http://cs-comm.lib.muohio.edu/. - 413 -
CS2200: Introduction to Systems and Networking, Georgia Institute of Technology Atlanta, GA Kishore Ramachandran rama@gatech.edu http://www.cc.gatech.edu/~rama/CS2200-External/ Knowledge Areas that contain topics and learning outcomes covered in the course Knowledge Area Systems Fundamentals (SF) 42 Total Hours of Coverage Where does the course fit in your curriculum This course is taken in the second semester of the sophomore year. The pre-requisite for this course is a good knowledge of C and logic design. It is required for all CS majors wishing to specialize in: operating systems, architecture, programming language and compilers, system security, and networking. It provides a thorough understanding of the hardware and the system software and the symbiotic inter-relationship between the two. Students may take advanced courses in operating systems, architecture, and networking following this course in the junior and senior years. The course is offered 3 times a year (Fall, Spring, Summer) and the enrolment is typically around 100 students. What is covered in the course The course represents a novel integrated approach to presenting side by side both the architecture and the operating system of modern computer systems, so that students learn how the two complement each other in making the computer what it is. The course consists of five modules, corresponding to the five major building blocks of any modern computer system: processor, memory, parallelism, storage, and networking. Both the hardware and system software issues are covered concomitantly in presenting the five units. Topics covered include • Processor design including instruction-set design, processor implementation (simple as well as pipelined with the attendant techniques for overcoming different kinds of hazards), processor performance (CPI, IPC, execution time, Amdahl’s law), dealing with program discontinuities (interrupts, traps, exceptions), and design of interrupt handlers • Processor scheduling algorithms including FCFS, SJF, priority, round robin, with Linux scheduler as a real world example • Memory system including principles of memory management in general (paging in particular) and the necessary hardware support (page tables, TLB), page replacement algorithms, working set concepts, the inter-relationship between memory management and processor scheduling, thrashing, and context switching overheads • Memory hierarchy including different organizations of processor caches, the path of memory access from the processor through the different levels of the memory hierarchy, interaction between virtual memory and processor caches, and page coloring • Parallel programming (using pthreads), basic synchronization (mutex locks, condition variables) and communication (shared memory), program invariants, OS support for parallel programming, hardware support for parallel programming, rudiments of multiprocessor TLB and cache consistency • Basics of I/O (programmed data transfer, DMA), interfacing peripherals to the computer, structure of device driver software • Storage subsystem focusing on hard disk (disk scheduling), file systems (naming, attributes, APIs, disk allocation algorithms), example file systems (FAT, ext2, NTFS) - 414 -
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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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Page 408 and 409: SE Software Validation and Verifica
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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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