Algorithm Design And Problem-solving
Muhtasari
Before a single line of code is written, a good programmer has a plan: they break the problem into parts, design each part as an algorithm, decide how to test it, and check it works by tracing it by hand. This topic is the toolkit every programmer uses to turn a vague problem into a working, reliable solution.
You will learn the program development life cycle, how to decompose a problem into sub-systems, the standard methods such as totalling, counting and finding the maximum and minimum, validation and verification checks, how to choose good test data, how to complete a trace table for a dry run, and how to find and fix errors in algorithms. Pseudocode here follows the Cambridge 0478 conventions. By the end you should be able to write, trace and correct algorithms with confidence.
Malengo
- 1 Understand the program development life cycle, limited to: analysis, design, coding and testing
- 2 (a) Understand that every computer system is made up of sub-systems, which are made up of further sub-systems (b) Understand how a problem can be decomposed into its component parts (c) Use different methods to design and construct a solution to a problem
- 3 Explain the purpose of a given algorithm
- 4 Understand standard methods of solution
- 5 (a) Understand the need for validation checks to be made on input data and the different types of validation check (b) Understand the need for verification checks to be made on input data and the different types of verification check
- 6 Suggest and apply suitable test data
- 7 Complete a trace table to document a dry-run of an algorithm
- 8 Identify errors in given algorithms and suggest ways of correcting these errors
- 9 Write and amend algorithms for given problems or scenarios, using: pseudocode, program code and flowcharts
Somo la Sauti
Sikiliza somo hili kwenye programu
Ramani ya mawazo
Mada hii imechorwa ili uone jinsi mawazo yanavyounganika.
Fungua ramani ya mawazo kwenye programu
Kadi za kumbukumbu
Mazoezi ya haraka ya kumbukumbu kuhusu kinachopimwa katika mada hii.
Fanya mazoezi ya kadi hizi kwenye programu
Maelezo ya Somo
Dokezo Kamili la Somo Linapatikana kwenye Programu ya Green Bridge
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Tathmini ya Somo
Hongera kwa kukamilisha somo la Algorithm Design And Problem-solving. Sasa kwa kuwa umechunguza dhana na mawazo muhimu, ni wakati wa kuweka ujuzi wako kwa mtihani. Sehemu hii inatoa mazoezi mbalimbali maswali yaliyoundwa ili kuimarisha uelewaji wako na kukusaidia kupima ufahamu wako wa nyenzo.
Utakutana na mchanganyiko wa aina mbalimbali za maswali, ikiwemo maswali ya kuchagua jibu sahihi, maswali ya majibu mafupi, na maswali ya insha. Kila swali limebuniwa kwa umakini ili kupima vipengele tofauti vya maarifa yako na ujuzi wa kufikiri kwa makini.
Tumia sehemu hii ya tathmini kama fursa ya kuimarisha uelewa wako wa mada na kubaini maeneo yoyote ambapo unaweza kuhitaji kusoma zaidi. Usikatishwe tamaa na changamoto zozote utakazokutana nazo; badala yake, zitazame kama fursa za kukua na kuboresha.
- Which is NOT one of the four stages of the program development life cycle? A. analysis B. design C. marketing D. testing Answer: C
- Splitting a system into smaller sub-systems is called: A. validation B. decomposition C. iteration D. verification Answer: B
- A check that an age entered is between 0 and 100 is which type of validation? A. presence check B. length check C. range check D. format check Answer: C
- For a value that must be between 10 and 100, which pair is boundary test data? A. 50 and 60 B. 9 and 10 C. "ten" and 5 D. 200 and 300 Answer: B
- Which tool is used to dry-run an algorithm by hand, recording each variable as it changes? A. structure diagram B. flowchart C. trace table D. firewall Answer: C
Fanyia kazi maswali haya kwenye programu
Fanyia kazi maswali haya kwenye programu
Vitabu Vinavyopendekezwa
Jifunze zaidi kutoka vyanzo huria
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Sehemu ya kitabu
Algorithm Design and Discovery
"Introduction to Computer Science: Algorithm Design and Discovery" by OpenStax, OpenStax, Rice University, licensed under CC BY-NC-SA 4.0 (https://creativecommons.org/licenses/by-nc-sa/4.0/). Source: https://openstax.org/books/introduction-computer-science/pages/3-2-algorithm-design-and-discovery. Access for free at https://openstax.org/books/introduction-computer-science/pages/1-introduction
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Sehemu ya kitabu
Computational Thinking
"Introduction to Computer Science: Computational Thinking" by OpenStax, OpenStax, Rice University, licensed under CC BY-NC-SA 4.0 (https://creativecommons.org/licenses/by-nc-sa/4.0/). Source: https://openstax.org/books/introduction-computer-science/pages/2-1-computational-thinking. Access for free at https://openstax.org/books/introduction-computer-science/pages/1-introduction
Vimechapishwa na mashirika mengine chini ya leseni huria na vinatajwa kama wanavyoomba. Viungo hufungua tovuti zao.
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Ungependa kufanya mazoezi ya maswali ya majaribio kuhusu Algorithm Design And Problem-solving? Pakua programu ya Green Bridge CBT ili kupata maswali ya majaribio na tathmini kamili za mazoezi kuhusu mada hii.
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