Higher Nationals Internal verification of assessment decisions – BTEC (RQF) INTERNAL VERIFICATION – ASSESSMENT DECISIONS Programme title Higher National Diploma in Computing Assessor Unit(s) Assignment title Internal Verifier Unit 19 – Data Structures and Algorithms Specification, Implementation, and Assessment of Data Structures for a sample scenario. Student’s name List which assessment criteria the Assessor has awarded. Pass Merit Distinction INTERNAL VERIFIER CHECKLIST Do the assessment criteria awarded match those shown in the assignment brief? Is the Pass/Merit/Distinction grade awarded justified by the assessor’s comments on the student work? Has the work been assessed accurately? Is the feedback to the student: Give details: • Constructive? • Linked to relevant assessment criteria? • Identifying opportunities for improved performance? • Agreeing actions? Does the assessment decision need amending? Y/N Y/N Y/N Y/N Y/N Y/N Y/N Y/N Assessor signature Date Internal Verifier signature Date Programme Leader signature (if required) Date Confirm action completed Remedial action taken Give details: Assessor signature Date Internal Verifier signature Date Programme Leader signature (if required) Date Higher Nationals - Summative Assignment Feedback Form Student Name/ID Unit Title Unit 19: Assignment Number 1 Data Structures and Algorithms Assessor Submission Date Date Received 1st submission Re-submission Date Date Received 2nd submission Assessor Feedback: LO1 Examine different concrete data structures and it’s valid operations. Pass, Merit & P1 P2 M1 M2 Distinction Descripts D1 LO2 Discuss the advantages, complexity of Abstract Data Type and importance concepts of Object orientation. Pass, Merit & Distinction Descripts P3 M3 D2 LO3 Implement, Demonstrate and evaluate complex ADT algorithm. Pass, Merit & Distinction Descripts P4 P5 M4 D3 LO4 Examine the advantages of Independent data structures and discuss the need of asymptotic analysis to assess the effectiveness of an algorithm. Pass, Merit & P6 P7 D4 M5 Distinction Descripts Grade: Assessor Signature: Date: Resubmission Feedback: Grade: Assessor Signature: Date: Internal Verifier’s Comments: Signature & Date: * Please note that grade decisions are provisional. They are only confirmed once internal and external moderation has taken place and grades decisions have been agreed at the assessment board. Assignment Feedback Formative Feedback: Assessor to Student Action Plan Summative feedback Feedback: Student to Assessor Assessor signature Date Student signature Date Pearson Higher Nationals in Computing Unit 19: Data Structures & Algorithms Assignment 01 General Guidelines • A Cover page or title page – You should always attach a title page to your assignment. 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Student’s Signature: (Provide E-mail ID) Date: (Provide Submission Date) Higher National Diploma in Business Assignment Brief Student Name /ID Number Unit Number and Title Academic Year Unit Tutor Assignment Title Unit 19 : Data Structures and Algorithms 2021/22 Specification, Implementation, and Assessment of Data Structures for a sample scenario. Issue Date Submission Date IV Name & Date Submission format The submission should be in the form of a report, which contains code snippets (which must be described well), text-based descriptions, and diagrams where appropriate. References to external sources of knowledge must be cited (reference list supported by in-text citations) using the Harvard Referencing style. Unit Learning Outcomes: LO1. Examine abstract data types, concrete data structures and algorithms. LO2. Specify abstract data types and algorithms in a formal notation. LO3. Implement complex data structures and algorithms. LO4. Assess the effectiveness of data structures and algorithms. Assignment Brief and Guidance: Scenario ABC Pvt Ltd organizing Car Racing event across western province and they decided to have maximum of 6 cars(participants) to compete. There are totally 3 Rounds and at the end of each round lowest rank car will be eliminated from the Race. Each car has unique number, brand, sponsor and driver details. In order to manage this particular event ABC Pvt Ltd decided to develop an Application. Application functions are listed down. 1.Register Car Details 2.Delete a car 3.Insert 3 Rounds Results. 4.Find out the winners (1st,2nd,3rd) 5.Search for a particular car Task 1: Examine and create data structure by simulating the above scenario and explain the valid operations that can be carried out on this data structure. Determine the operations of a queue and critically review how it is used to implement function calls related to the above scenario. Task 2: Implement the above scenario using the selected data structure and its valid operations for the design specification given in task 1 by using java programming. Use suitable error handling and Test the application using suitable test cases and illustrate the system. Provide evidence of the test cases and the test results. Task 3 : Registered Car details are stored from oldest to newest. Management of ABC Pvt Ltd should be able to find from the newest to oldest registered car details. Using an imperative definition, specify the abstract data type for the above scenario and implement specified ADT using java programming and briefly discuss the complexity of chosen ADT algorithm. List down the advantages of Encapsulation and Information hiding when using an ADT selected for the above scenario. “Imperative ADTs are basis for object orientation.” Discuss the above view stating whether you agree or not. Justify your answer. Task 4: ABC Pvt Ltd plans to visit all of these participants through the shortest path within a day. Analyse the above operation by using illustrations, of two shortest path algorithms, specify how it operates using a sample graph diagram. Sort the cars based on numbers with two different sorting algorithms and critically review the performances of those two algorithms by comparing them. Task 5: Evaluate how Asymptotic analysis can be used to assess the effectiveness of an algorithm and critically evaluate the different ways in which the efficiency of an algorithm can be measured. Critically review the sort of trade-offs exists when you use an ADT for implementing programs. You also need to evaluate the benefits of using independent data structures for implementing programs. Grading Rubric Grading Criteria LO1. Examine abstract data types, concrete data structures and algorithms. P1 Create a design specification for data structures explaining the valid operations that can be carried out on the structures. P2 Determine the operations of a memory stack and how it is used to implement function calls in a computer. M1 Illustrate, with an example, a concrete data structure for a First In First out (FIFO) queue. M2 Compare the performance of two sorting algorithms. D1 Analyse the operation, using illustrations, of two network shortest path algorithms, providing an example of each. LO2. Specify abstract data types and algorithms in a formal notation. Achieved Feedback P3 Using an imperative definition, specify the abstract data type for a software stack. M3 Examine the advantages of encapsulation and information hiding when using an ADT. D2 Discuss the view that imperative ADTs are a basis for object orientation and, with justification, state whether you agree. LO3. Implement complex data structures and algorithms. P4 Implement a complex ADT and algorithm in an executable programming language to solve a well-defined problem. P5 Implement error handling and report test results. M4 Demonstrate how the implementation of an ADT/algorithm solves a well-defined problem. D3 Critically evaluate the complexity of an implemented ADT/algorithm. LO4. Assess the effectiveness of data structures and algorithms. P6 Discuss how asymptotic analysis can be used to assess the effectiveness of an algorithm. P7 Determine two ways in which the efficiency of an algorithm can be measured, illustrating your answer with an example. M5 Interpret what a trade-off is when specifying an ADT using an example to support your answer. D4 Evaluate three benefits of using implementation independent data structures.