CS2013-final-report

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matriculate to New Jersey Institute of Technology. Furthermore, this course is designed to meet the following program objectives. (Also see Other Comments below). Upon successful completion of this course, students will be able to: • Demonstrate critical thinking, analytical reasoning, and problem solving skills • Apply appropriate mathematical and statistical concepts and operations to interpret data and to solve problems • Identify a problem and analyze it in terms of its significant parts and the information needed to solve it • Formulate and evaluate possible solutions to problems, and select and defend the chosen solutions • Construct graphs and charts, interpret them, and draw appropriate conclusions Body of Knowledge coverage KA Knowledge Unit Topics Covered Hours DS Sets, Relations, Functions all topics 6 DS Basic Logic all topics 9 DS Proof Techniques all topics 9 DS Basics of Counting all topics 7 DS Graphs and Trees all topics except Graph Isomorphism (core tier-2) 6 DS Discrete Probability all topics except Conditional Independence (core tier-2) 5 Other comments Correlation of Program Objectives, Student Learning Outcomes, and Assessment Methods Program Objectives Demonstrate critical thinking, analytical reasoning, and problem solving skills Apply appropriate mathematical and statistical concepts and operations to interpret data and to solve problems Student Learning Outcomes Recognize, identify, and solve problems using set theory, elementary number theory, and discrete probability Recognize, identify, and apply the concepts of functions and relations and graph theory in problem solving Apply proof techniques in logic Recognize, identify, and solve problems using set theory, elementary number theory, and discrete probability Recognize, identify, and apply the concepts of functions and relations and graph theory in problem solving Assessment Methods Written: Homework assignments, examinations in class, and projects to be completed at home Verbal: Classroom exercises and discussion Written: Homework assignments, examinations in class, and projects to be completed at home Verbal: Classroom exercises and discussion - 263 -
Identify a problem and analyze it in terms of its significant parts and the information needed to solve it Formulate and evaluate possible solutions to problems, and select and defend the chosen solutions Construct graphs and charts, interpret them, and draw appropriate conclusions Recognize, identify, and solve problems using set theory, elementary number theory, and discrete probability Recognize, identify, and apply the concepts of functions and relations and graph theory in problem solving Apply proof techniques in logic Recognize, identify, and solve problems using set theory , elementary number theory, and discrete probability Recognize, identify, and apply the concepts of functions and relations and graph theory in problem solving Apply proof techniques in logic Recognize, identify, and apply the concepts of functions and relations and graph theory in problem solving Written: Homework assignments, examinations in class, and projects to be completed at home Verbal: Classroom exercises and discussion Written: Homework assignments, examinations in class, and projects to be completed at home Verbal: Classroom exercises and discussion Written: Homework assignments, examinations in class, and projects to be completed at home Verbal: Classroom exercises and discussion - 264 -
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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
Page 215 and 216: Table B-3: Core Learning Topics and
Page 217 and 218: Table B-4: New and Expanded Core Le
Page 219 and 220: IAS Core-Tier1: • Analyze the tra
Page 221 and 222: IS NC Core-Tier2: • Translate a n
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Page 237 and 238: CSCI 140: Algorithms, Pomona Colleg
Page 239 and 240: AL PD advanced data structures algo
Page 241 and 242: What is the format of the course Th
Page 243 and 244: CS 256 Algorithm Design and Analysi
Page 245 and 246: and other applications including Ba
Page 247 and 248: • Data races and higher-level rac
Page 249 and 250: CS/ECE 552: Introduction to Compute
Page 251 and 252: Body of Knowledge coverage KA Knowl
Page 253 and 254: AR Assembly Level Machine Organizat
Page 257 and 258: Altruism/Collaboration/Competition,
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Page 261 and 262: COSC/MATH 201: Modeling and Simulat
Page 263 and 264: ehaviors, simplifying assumptions;
Page 265: MAT 267: Discrete Mathematics, Unio
Page 269 and 270: CS109 covers: • Counting • Comb
Page 271 and 272: CS 250 - Discrete Structures I, Por
Page 274 and 275: CS 251 - Discrete Structures II, Po
Page 276 and 277: DS Graphs and Trees Tree, tree trav
Page 278 and 279: The course gives an overview to a v
Page 280 and 281: CS371: Computer Graphics, Williams
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
Page 288 and 289: CO328: Human Computer Interaction,
Page 290 and 291: Human Computer Interaction, Univers
Page 292 and 293: Human-Computer Interaction, Stanfor
Page 294 and 295: Human Information Processing (HIP),
Page 296 and 297: Software and Interface Design, Univ
Page 298 and 299: Computer Systems Security (CS-475),
Page 302 and 303: Ullman and Widom, 2 nd edition, Pre
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
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CS188: Artificial Intelligence, Uni
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Introduction to Artificial Intellig
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Body of Knowledge coverage KA Knowl
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Why do you teach the course this wa
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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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