ࡱ > x z w } b bjbj55 4b _ _ b L I R , rR tR tR tR tR tR tR $ U W H R R R " rR rR 2 J Q .aQ M . ^R R 0 R N X X \ Q Q X Q R R R X : CS 4121 Rubric for Prior Learning Assessment Submissions
Course description: Serving as the first course in a series of networking courses, CS 4121 (Data Communications and Computer Networks I) aims at building a firm foundation of data communications and computer networks for students. A thorough understanding of concepts and mechanisms underlying general telecommunications and networking is believed to be essential for students to be able to learn and grasp knowledge about other advanced and specific technologies and architectures. Students are exposed to the big picture of networks we draw in this course that allows them to see how the various parts/layers of the network work individually, and fit into one whole. This course covers basic networking concepts and models, physical data communication mechanisms, Local Area Networks, packet switching networks, end-to-end data transmission control, and important applications.
Candidates must score at the minimum level of able in each element of the rubric.
ITEMMasterfulAbleDevelopingSOURCES OF LEARNING (EXPERIENCES)Documentation and description of experiences as a basis for PLA.Sources of Learning section succinctly narrates and describes the significance of the candidates relevant learning experiences and establishes the candidate as qualified to write on the subject. Completed in PLA 2000EVIDENCE OF LEARNING (COMPETENCIES)Evidence (overall)Candidate provides evidence of learning from experience. Evidence aligned with specific learning outcomesCandidate provides adequate and appropriate evidence of each learning outcome listed in the course syllabus. Note: learning objectives should include process skills (possible suggestions below) as well as content topics.
On successful completion of this course, the student should be able to
Describe the fundamental principles in data communications and computer networks including
Delay and loss in Packet-Switched Networks
Protocol layers and their service models
Popular network applications like HTTP, FTP, SMTP, DNS, P2P, etc
Reliable data transfer and sliding window protocols
Congestion control and flow control
Routing algorithms like LS an DV
LAN and Ethernet with emphasis on error detection and multiple access protocols
Mathematically and logically analyze how computer protocols work in the abstract
Solve real-world problems in the context of todays Internet (TCP/IP and UDP/IP)
Evidence aligned with specific content topicsFrom the candidates discussion of personal examples, it is clear that the learning arose from the candidates experience and/or experience represents the candidates understanding of the topic.
1. Computer Networks and the Internet
The Network Edge
The Network Core
Delay, Loss, and Throughput in Packet-Switched Networks
Protocol Layers and Their Service Models
Application Layer
Principles of Application Layer Protocols
The Web and HTTP
File Transfer: FTP
Electronic Mail in the Internet
DNS the Internets Directory Service
Peer-to-Peer Applications
Transport Layer
Multiplexing and Demultiplexing
Principles of Reliable Data Transfer
Connection-Oriented Transport: TCP
Principles of Congestion Control
Network Layer and Routing
Virtual Circuit and Datagram Networks
Whats Inside a Router
The Internet Protocol (IP): Forwarding and Addressing in the Internet
Routing Algorithms
Routing in the Internet
Link Layer and Local Area Networks
Error-Detection and Correction Techniques
Multiple Access Protocols
Ethernet
Link-Layer Switches
Evidence aligned with personal experienceFrom the candidates discussion of personal examples, it is clear that the learning arose from the candidates experience and/or experience represents the candidates understanding of the topic. This element reduces temptation to cut and paste information from reference materials.
The documentation must include a meaningful description of the activities leading to the prior learning, an explanation of how each activity relates to the topic, and a discussion of how the topic fits into the general scope of the course.
Evidence aligned with academic theoryAppropriate amount and use of academic theory is integrated within the submission, so that the candidates learning is grounded in the academic frameworks of the topic.
Provide a justification of the clear understanding of the logics and rationales behind each major step in networking protocols the candidate lists in his/her PLA submission.
QUALITY OF PRESENTATION OF SUBMISSIONBreadth / Depth of SubmissionThere is an appropriate depth and breadth of discussion related to requested credits (upper vs. lower division, and amount).Introduction / ConclusionIntroduction effectively introduces the topic in general and the contents of the essay specifically.
Conclusion effectively summarizes main points and states significance of the essay topic.Citation of Source MaterialIn-text and end-of-text citations of all sourced materials are correct and complete.DocumentationDocumentation is effective evidence of experience; documentation is effectively referred to within submission, and its significance and relevance is clear.Sentence Structure, Mechanics, and Overall PresentationPLA submission is well-organized, uses adequate subheadings clearly aligned with competencies, and progresses in logical, convincing order.
Each sentence structured effectively; rich, well-chosen variety of sentence styles and length.
Virtually free of punctuation, spelling, capitalization errors; appropriate format and presentation for assignment.
Exceptional vocabulary range, accuracy, and correct and effective word usage.
PLA submission is professionally presented, complete, and clear.
Note: information in red was provided by Zhiguang Xu.
In addition to PLA submission, the candidate will be asked to take a written test. The final conclusion will be drawn based on the results of both of these activities (Please refer to the following weight-distribution chart for details).
Assessment MethodDescriptionWeightDocumentationSee the rubric above30%TestProblems will be selected to test candidates theoretical background and analytical capabilities70%
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