Materi logika dan pemrograman untuk microteaching di Amikom. beberapa referensi diambil dari http://www.slideshare.net/BaabtraMentoringPartner/algorithms-introduction-to-computer-programming
Materi logika dan pemrograman untuk microteaching di Amikom. beberapa referensi diambil dari http://www.slideshare.net/BaabtraMentoringPartner/algorithms-introduction-to-computer-programming
Avi Pfeffer, Principal Scientist, Charles River Analytics at MLconf SEA - 5/2...MLconf
Practical Probabilistic Programming with Figaro: Probabilistic reasoning enables you to predict the future, infer the past, and learn from experience. Probabilistic programming enables users to build and reason with a wide variety of probabilistic models without machine learning expertise. In this talk, I will present Figaro, a mature probabilistic programming system with many applications. I will describe the main design principles of the language and show example applications. I will also discuss our current efforts to fully automate and optimize the inference process.
By analysing the explanation of the classical heapsort algorithm via the method of levels of abstraction mainly due to Floridi, we give a concrete and precise example of how to deal with algorithmic knowledge. To do so, we introduce a concept already implicit in the method, the ‘gradient of explanations’. Analogously to the gradient of abstractions, a gradient of explanations is a sequence of discrete levels of explanation each one refining the previous, varying formalisation, and thus providing progressive evidence for hidden information. Because of this sequential and coherent uncovering of the information that explains a level of abstraction—the heapsort algorithm in our guiding example—the notion of gradient of explanations allows to precisely classify purposes in writing software according to the informal criterion of ‘depth’, and to give a precise meaning to the notion of ‘concreteness’.
Introduction
The term problem solving is used in many disciplines, sometimes with different perspectives and
often with different terminologies. The problem-solving process starts with the problem
specification and end with a correct program.
The steps to follow in the problem-solving process are:
Problem definition
Problem Analysis
Algorithm development
Coding
Testing & Debugging
Documentation & Maintenance
The stages of analysis, design, programming, implementation and maintenance form the life cycle
of the system.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Avi Pfeffer, Principal Scientist, Charles River Analytics at MLconf SEA - 5/2...MLconf
Practical Probabilistic Programming with Figaro: Probabilistic reasoning enables you to predict the future, infer the past, and learn from experience. Probabilistic programming enables users to build and reason with a wide variety of probabilistic models without machine learning expertise. In this talk, I will present Figaro, a mature probabilistic programming system with many applications. I will describe the main design principles of the language and show example applications. I will also discuss our current efforts to fully automate and optimize the inference process.
By analysing the explanation of the classical heapsort algorithm via the method of levels of abstraction mainly due to Floridi, we give a concrete and precise example of how to deal with algorithmic knowledge. To do so, we introduce a concept already implicit in the method, the ‘gradient of explanations’. Analogously to the gradient of abstractions, a gradient of explanations is a sequence of discrete levels of explanation each one refining the previous, varying formalisation, and thus providing progressive evidence for hidden information. Because of this sequential and coherent uncovering of the information that explains a level of abstraction—the heapsort algorithm in our guiding example—the notion of gradient of explanations allows to precisely classify purposes in writing software according to the informal criterion of ‘depth’, and to give a precise meaning to the notion of ‘concreteness’.
Introduction
The term problem solving is used in many disciplines, sometimes with different perspectives and
often with different terminologies. The problem-solving process starts with the problem
specification and end with a correct program.
The steps to follow in the problem-solving process are:
Problem definition
Problem Analysis
Algorithm development
Coding
Testing & Debugging
Documentation & Maintenance
The stages of analysis, design, programming, implementation and maintenance form the life cycle
of the system.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
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Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
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It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
1. Problem Solving Python Programming
Question Paper
PART A
1. Define Algorithmwithexample
2. Define Program
3. Define Flowchart
4. Distinguishbetweenalgorithmandprogram.
5. Write an algorithmtoaccept twonumbers, compute the sumand printthe result.
6. Write an algorithmtofindthe minimumnumberinagivenlistof numbers.
7. Define recursionwithanexample.
8. Pseudocode forconvertingFahrenheittocentigrade.
9. What isa module?Give example.
10. What ismeantby Expressions?Give examples.
11. Write a program to accept twonumbers,multiplythemandprintthe result?
12. Write a program to accept twonumbers,findthe greatestandprintthe result?
13. What are keywords?Give examples.
PART B
1. Discuss about the buildingblocksof algorithm
2. . Identifythe simplestrategiesfordevelopinganalgorithm WhatismeantbyFlowchart?Explain
aboutthe symbolsandrulesfordrawingflowchart.
3.Draw a flowchart to accept three distinctnumbers,findthe greatestandprintthe result.
4. 100What ismeantby Flowchart?Explainaboutthe symbolsandrulesfordrawingflowchart
5. Outline the Towersof Hanoi problem.Suggestasolution tothe Towersof Hanoi problemwith
relevantdiagrams
6. Draw a flowchartto findthe sum of the series1+2+3+4+….+
7. Write an algorithmtoinserta card intoa listof sortedcards.
8. Summarise the precedence of mathematical operatorsinpython.
9.Write a pythonprogramto swapthe valuesof two variables.
10.Explainindetail aboutalgorithmicproblemsolving
11.Pseudocode tofindaverage of fournumbers.
12.Explainindetail aboutData types& Variables.
13.Write a pythonprogram usingfunctiontofindthe sumof first‘n’ evennumbersandprintthe result.
14.Write a pythonprogram to findthe exponentiationof anumber
15.Explainindetail aboutfunctionsanditstypes.
16 What is a tuple?Give example.Explainthe following.
i) Creatingatuple.
ii) Operationsontuple.
iii) Tuple Assignment
17.Write a pythonprogramto findthe factorial of a givennumberwithoutrecursionandwithrecursion.
18. Write a pythonprogram to generate first‘N’Fibonacci numbers.
(Note:The Fibonacci numbersare 0,1,1,2,3,5,8,13,21….. where eachnumberisthe sum of the
precedingtwo.)