CS2013-final-report

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Ullman and Widom, 2 nd edition, Prentice-Hall, 2008. Instructor’s slides and different webpages supplement the textbook and are distributed via the course home page. Why do you teach the course this way This course is an elective and students do consider it to be challenging but incredibly beneficial to their job prospects. Many students discuss their knowledge in database administration, database design, database tuning, query optimization, and knowledge of commercial DBMS and the projects developed in this course with potential employers. Body of Knowledge coverage KA Knowledge Unit Topics Covered Hours IM Information Management Concepts Information storage and retrieval (CT-1) Information capture and representation (CT-1) Searching and retrieving (CT-1) Analysis and indexing (CT-2) Reliability, security, scalability, efficiency (CT-2) IM Database Systems File systems vs. DBMS Approaches to and evolution of DBMS (CT-2) Database architecture and data independence (CT-2) Core DBMS functions and system components (CT-2) DBMS user, designer, application developer, administrator (CT-1) IM Data Modeling Conceptual modeling – ER model (CT-2) Logical database design – Relational model, objectrelational model (CT-2) IM Relational Databases Relational database design, schema design, mapping conceptual schema to relational schema, functional dependencies, superkeys and candidate keys, foreign keys, schema decomposition and refinement, loss-less join and dependency preservation, normal forms – 1NF, 2NF, 3NF, BCNF, multi-valued dependency and 4NF – entity and referential integrity IM Query Languages Relational algebra Relational calculus SQL SQL queries, constraints and triggers ODBC, JDBC Query processing strategies Query evaluation Query processing costs IM Indexing Basic structure Indexes with SQL IM Physical Database Design Memory hierarchy, file organization (heap files, clustered files, sorted files), tree-based indexing (B-tree, B+tree), hash-based indexing, I/O cost models for indexing, comparison of indexing techniques, indexes and performance tuning 1.5 1.5 6 9 12 1.5 15 - 299 -
IM Transaction Processing ACID properties, failure and recovery, concurrency control, serializability, two phase locking protocols, deadlocks, logs and logging protocol IAS Foundational Concepts Database security, access control via database views, integrity, audit 6 2 IAS Security Policy and Governance Backup and recovery 1.5 Additional topics: None Other comments: None - 300 -
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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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Page 253 and 254: AR Assembly Level Machine Organizat
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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
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Page 276 and 277: DS Graphs and Trees Tree, tree trav
Page 278 and 279: The course gives an overview to a v
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Page 282 and 283: Texture mapping, including minifica
Page 284 and 285: Other materials are: R and RStudio
Page 286 and 287: 3. Assignment (20% + 10%) Due in we
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Page 296 and 297: Software and Interface Design, Univ
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Page 304 and 305: Technology, Ethics, and Global Soci
Page 306 and 307: SP Professional Communication These
Page 310 and 311: Why do you teach the course this wa
Page 312 and 313: search, probabilistic reasoning, lo
Page 314 and 315: Students are expected to spend abou
Page 316 and 317: CS188: Artificial Intelligence, Uni
Page 318 and 319: Introduction to Artificial Intellig
Page 326 and 327: Computer Networks, Williams College
Page 328 and 329: NC Introduction All 1.5 NC Networke
Page 330 and 331: CSCI 432 Operating Systems, William
Page 332 and 333: OS Security and Protection Access c
Page 334 and 335: Assignment Five: Memory management
Page 340 and 341: Programming Language: C Assignment
Page 342 and 343: Parallel Programming Principle and
Page 344 and 345: PD Parallel Algorithms, Analysis, a
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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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Why do you teach the course this wa
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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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Body of Knowledge coverage KA Knowl
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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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