CS2013-final-report

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Bluegrass Community and Technical College (A.S. Degree) in Lexington, Kentucky Computer and Information Technologies Department http://bluegrass.kctcs.edu/en/CSIS.aspx Contact: Prof. Melanie Williamson (melanie.williamson@kctcs.edu) Curricular Overview In the United States, the associate degree is recognized by baccalaureate degree-granting institutions as a critical indicator of academic proficiency at a level deemed appropriate to enter upper-division college programs. Bluegrass Community and Technical College (BCTC) located in Lexington, Kentucky is a comprehensive community college offering both career and transfer associate-degree programs. The enrollment at BCTC is approximately 6,000 full-time students and 7,200 part-time students. The department of Computer and Information Technologies (CIT) at BCTC offers an Associate in Science (A.S.) degree in computer science designed specially to transfer into baccalaureate degree programs. The transferable computer science core is limited to four courses since the program also consists of all the general education requirements for a baccalaureate degree – deemed as fully “general education” certified. The CIT department offers a variety of computerrelated associate-degree programs and has eleven full-time faculty members with varying expertise in software development and engineering, database management, information assurance, and networking. Computer Science Major The BCTC computer science A.S. degree program couples the study of computer programming with computational complexity, data structures, software engineering, and proof techniques. The four introductory core courses that all CS majors must take are: 1. CS 115 Introduction to Computer Programming 3 credits 2. CS 215 Introduction to Program Design, Abstraction and Problem Solving 4 credits 3. CS 216 Introduction to Software Engineering 3 credits 4. CS 275 Discrete Mathematics 4 credits Course descriptions are located in the Appendix A of this curricular exemplar. Curricular Analysis The Knowledge Units table below provides an overview of the coverage of CS2013 Core Tier-1 and Core Tier-2 topics in the associate degree CS transfer program at BCTC. The recommended CS course sequencing for this canonical major is as follows: Year 1 - Fall Year 1 - Spring Year 2 - Fall Year 2 - Spring CS 115 CS 215 CS 216 CS 275 - 465 -
The canonical computer science major is required to complete a common CS core that includes the four lower-division computer science courses listed above. Mapping this transferable core reveals that 70% of Tier-1 and 35% of Tier-2 topics in the CS2013 core are covered by BCTC’s associate in science degree. In comparison of the core topics, 77% and 52%, respectively, are covered by BCTC’s associate in applied science degree. Please note that the mapping of the A.A.S. degree is included as a separate CS2013 curricular exemplar. Tier 1 Tier 2 Canonical major – CS115, CS215, CS216, CS275 – common core 70% 35% - 466 -
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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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Page 428 and 429: Analyze basic logical fallacies in
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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
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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
Page 466 and 467: Appendix D: Curricular Exemplars Th
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Page 472 and 473: Notation: < 25% of KU covered # 25-
Page 474 and 475: Appendix: Information on Individual
Page 476 and 477: Curricular Analysis The Knowledge U
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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
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Page 504 and 505: CS 145: Introduction to Databases T
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Page 514 and 515: CSCI 237 - Computer Organization Th
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A Cooperative Project of
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