The document discusses artificial intelligence (AI) topics that will be covered in an AI course module. It includes definitions of key AI concepts and terminology to meet the course's learning objectives. The topics that will be covered are: what is AI, the impact of AI on jobs, different approaches to learning AI (conceptual, algorithmic, mathematical, case studies), the machine intelligence continuum (levels from systems that act to systems that relate), expert systems and machine learning, and various AI applications.
Analisis Pieces Terhadap Sistem Informasi Lukman Hermanto 55518110066LukmanHermanto
Makalah ini membahas analisis sistem informasi yang diterapkan pada CV. Winner Abadi Makmur berdasarkan kerangka analisis PIECES (Performance, Information, Economy, Control, Efficiency, Service). Sistem informasi telah mampu mencatat ketersediaan barang namun masih terdapat selisih dengan jumlah fisik, serta belum ada peringatan jatuh tempo piutang yang menghambat perputaran modal."
Big data dapat didefinisikan sebagai volume data yang besar dan beragam yang membutuhkan teknologi canggih untuk menangkap, menyimpan, mengelola, dan menganalisis datanya. Teknologi ini memiliki manfaat bagi perusahaan seperti analisis data sosial, riwayat, dan prediksi.
Introduction to Artificial Intelligence - Pengenalan Kecerdasan BuatanSunu Wibirama
Kuliah Pengantar Kecerdasan Buatan oleh Dr. Sunu Wibirama. Kuliah ini dibagi menjadi empat bagian, yakni:
Part 1: Revolusi Industri 4.0 dan Kecerdasan Buatan
Part 2: Sejarah Turing Machine dan Teknologi Kecerdasan Buatan
Part 3: Pengantar Machine Learning
Part 4: Pengantar Deep Neural Network
Instruktur:
Dr. Sunu Wibirama (UGM, Indonesia)
http://sunu.staff.ugm.ac.id
Laporan ini membahas tentang sistem monitoring untuk mengelola perangkat Element Management System (EMS) pada layanan internet TELKOM Speedy. Laporan ini menjelaskan tentang latar belakang permasalahan, lingkup pekerjaan, dan tujuan pembangunan sistem monitoring yang dirancang untuk mendeteksi gangguan pada perangkat EMS secara dini.
Pencarian Rute Terpendek Dengan Menggunakan Algoritma DjikstrakArinten Hidayat
Analisis rute terpendek antara kota Jakarta dan Bandung menggunakan algoritma Dijkstra dan aplikasi WinQSB. Algoritma Dijkstra menghasilkan rute sejauh 174 km melalui Cileunyi, Lembang, Sagalaherang, Purwakarta, Padalarang 2, Cikalong Wetan, Cikalong Kulon, Ciranjang, Cianjur, Sukabumi, Cicurug, Bogor, Citeureup, Cileungsi, Jonggol, Lemahabang, Bekasi, dan Cimahi dengan
Analisis Pieces Terhadap Sistem Informasi Lukman Hermanto 55518110066LukmanHermanto
Makalah ini membahas analisis sistem informasi yang diterapkan pada CV. Winner Abadi Makmur berdasarkan kerangka analisis PIECES (Performance, Information, Economy, Control, Efficiency, Service). Sistem informasi telah mampu mencatat ketersediaan barang namun masih terdapat selisih dengan jumlah fisik, serta belum ada peringatan jatuh tempo piutang yang menghambat perputaran modal."
Big data dapat didefinisikan sebagai volume data yang besar dan beragam yang membutuhkan teknologi canggih untuk menangkap, menyimpan, mengelola, dan menganalisis datanya. Teknologi ini memiliki manfaat bagi perusahaan seperti analisis data sosial, riwayat, dan prediksi.
Introduction to Artificial Intelligence - Pengenalan Kecerdasan BuatanSunu Wibirama
Kuliah Pengantar Kecerdasan Buatan oleh Dr. Sunu Wibirama. Kuliah ini dibagi menjadi empat bagian, yakni:
Part 1: Revolusi Industri 4.0 dan Kecerdasan Buatan
Part 2: Sejarah Turing Machine dan Teknologi Kecerdasan Buatan
Part 3: Pengantar Machine Learning
Part 4: Pengantar Deep Neural Network
Instruktur:
Dr. Sunu Wibirama (UGM, Indonesia)
http://sunu.staff.ugm.ac.id
Laporan ini membahas tentang sistem monitoring untuk mengelola perangkat Element Management System (EMS) pada layanan internet TELKOM Speedy. Laporan ini menjelaskan tentang latar belakang permasalahan, lingkup pekerjaan, dan tujuan pembangunan sistem monitoring yang dirancang untuk mendeteksi gangguan pada perangkat EMS secara dini.
Pencarian Rute Terpendek Dengan Menggunakan Algoritma DjikstrakArinten Hidayat
Analisis rute terpendek antara kota Jakarta dan Bandung menggunakan algoritma Dijkstra dan aplikasi WinQSB. Algoritma Dijkstra menghasilkan rute sejauh 174 km melalui Cileunyi, Lembang, Sagalaherang, Purwakarta, Padalarang 2, Cikalong Wetan, Cikalong Kulon, Ciranjang, Cianjur, Sukabumi, Cicurug, Bogor, Citeureup, Cileungsi, Jonggol, Lemahabang, Bekasi, dan Cimahi dengan
Office automation system adalah sistem yang mengotomatisasi berbagai pekerjaan kantor dengan menggunakan perangkat lunak tunggal untuk meningkatkan produktivitas, mengurangi waktu penghentian kerja, dan mengurangi biaya peralatan. Sistem ini memfasilitasi komunikasi formal dan informal antar karyawan di dalam dan luar perusahaan untuk meningkatkan pendapatan dan meminimalkan biaya.
Makalah ini membahas tentang e-commerce mulai dari pengertian, kepentingan, framework, user, infrastruktur, komponen penting, tahapan pembangunan infrastruktur, dan cara membangun aplikasi e-commerce. Keuntungan e-commerce antara lain meningkatkan efisiensi pemasaran sedangkan kelemahannya adalah kurang jelasnya penjelasan produk.
Sistem kontrol, pengendalian & keamanan sistemFery Anugra
Sistem kontrol, pengendalian, dan pengamanan sistem membahas tiga hal utama:
1. Sistem kontrol dan pengendalian, termasuk sejarah perkembangannya
2. Pengendalian keamanan sistem informasi, seperti kontrol administratif dan operasi
3. Pengamanan sistem, meliputi kontrol akses terhadap sistem komputer dan informasi"
1) The document discusses the ICT requirements for smart factories, which use cyber-physical systems and the internet of things to increase flexibility and efficiency in production.
2) It outlines the opportunities of smart factories like shorter product development and increased competitiveness, but also challenges like ensuring security, scalability, and dealing with large amounts of diverse real-time data.
3) The document examines the different levels of an ICT infrastructure for smart factories including software, middleware, hardware, sensors, networks, and systems for data collection, storage, analysis and control that link enterprise, control and device levels.
Industry 4.0 refers to the current trend of automation and data exchange in manufacturing technologies like cyber-physical systems, the internet of things, cloud computing, and cognitive computing. It involves cyber-physical systems monitoring physical processes and creating virtual copies of the physical world. In the future, businesses will establish global networks incorporating machinery, warehousing, and production facilities as cyber-physical systems that can autonomously exchange information and control each other. Industry 4.0 is expected to fundamentally improve industrial processes involved in manufacturing, engineering, materials usage, and supply chain management.
The document discusses data preparation and exploratory data analysis. It explains that exploratory data analysis involves exploring a dataset before using it, to understand the data source, data types, attribute names, duplicate rows, missing values, outliers, and univariate, bivariate, and multivariate analyses. This helps ensure the dataset is clean before applying data mining techniques to extract knowledge from the data. The document also provides examples of handling issues like missing values, duplicate rows, and outliers during exploratory data analysis.
Surat penawaran ini menawarkan pembuatan aplikasi pendaftaran siswa baru secara online untuk sekolah. Aplikasi ini akan memudahkan proses pendaftaran siswa baru secara online, meningkatkan efisiensi, dan memungkinkan akses dari mana saja. Biaya pembuatan aplikasi ini sebesar Rp3.000.000 yang dibayar setengahnya dimuka dan sisanya setelah selesai.
Dokumen ini menjelaskan cara membuat database dan tabel menggunakan console MySQL, meliputi langkah-langkah membuat database "Akuntansi", tabel "brg", menginput data ke tabel, dan menampilkan datanya. Kemudian keluar dari MySQL dan kembali ke Windows.
The document discusses synchronization of processes and solutions to critical section problems. It covers background on concurrency and shared data leading to inconsistent states. The bounded buffer problem is presented as an example requiring synchronization. Race conditions can occur when multiple processes concurrently update shared data. Solutions must ensure mutual exclusion and progress. Peterson's algorithm and semaphores are introduced as synchronization techniques.
Sistem Informasi Posko Keamanan bertujuan untuk mengembangkan aplikasi digitalisasi administrasi posko keamanan yang sebelumnya masih dilakukan secara manual. Aplikasi ini diharapkan dapat mempermudah pencatatan, rekap, dan penyimpanan data secara real-time serta meningkatkan transparansi dan ramah lingkungan melalui laporan digital. Proyek ini akan menghasilkan software, dokumentasi, dan laporan dengan anggaran Rp150 juta dan dijad
Teks tersebut membahas beberapa hal penting terkait cloud computing, diantaranya:
1. Menguraikan pengertian dan komponen utama cloud computing
2. Mengulas perangkat lunak cloud computing terbuka seperti OpenStack dan beberapa layanan cloud seperti Google App Engine
3. Mengidentifikasi 11 aplikasi cloud terbuka yang populer untuk berbagai keperluan
Perlindungan privasi dan data pribadi sangat mempengaruhi perkembangan ekonomi digital di suatu negara, tanpa terkecuali Indonesia. Perlindungan tersebut merupakan faktor penentu akan adanya kepercayaan daring (online trust), yang merupakan hal penting dalam transaksi digital. Privasi dan data pribadi menjadi sebuah hal yang penting karena pengguna dalam jaringan tidak akan melakukan sebuah transaksi digital apabila merasa keamanan akan privasi dan data pribadinya terancam. Salah satu perlindungan privasi dan data pribadi tersebut berkenaan bagaimana data pribadi tersebut akan diproses termasuk data sensitif dari pengguna yang apabila disebarkan ke pihak yang tidak bertanggung jawab akan berpotensi menimbulkan kerugian finansial, bahkan mengancam keamanan dan keselamatan pemiliknya. Ancaman-ancaman yang timbul dari lemahnya perlindungan privasi dan data pribadi tersebut memiliki korelasi garis lurus dengan pertubuhan ekonomi yang dihasilkan dari transaksitransaksi dalam jaringan (online)
Sistem informasi manajemen sekolah merupakan konversi manajemen sekolah secara manual menjadi sistem berbasis komputer yang memungkinkan pengelolaan data siswa, akademik, keuangan, sarana prasarana, dan lainnya secara elektronik. Sistem ini diharapkan memudahkan proses belajar mengajar, meningkatkan kreativitas siswa, dan memperluas akses informasi di sekolah.
This document discusses topics related to uncertainty problems and probabilistic machine learning. It will cover introducing uncertainty, probability theory for machine learning, Bayesian rules, and applying Bayesian rules. The key concepts that will be learned include understanding basic probability theory such as random variables, probability distributions, and joint, conditional, and marginal probabilities. Learners will also understand how to apply Bayesian reasoning to cases such as predicting gender, COVID-19 infection risk, and medical diagnosis based on symptoms.
The document provides an introduction to the topic of deep learning. It outlines the learning objectives, which are to define machine learning techniques like linear regression, rule-based learning, probabilistic learning, and clustering, as well as the basic concepts of deep learning and its implementation in image recognition using convolutional neural networks. The topics to be covered are the history of artificial intelligence and neural networks, visualizing deep learning concepts, essentials of deep learning like perceptrons and backpropagation, and convolutional neural networks in detail.
Office automation system adalah sistem yang mengotomatisasi berbagai pekerjaan kantor dengan menggunakan perangkat lunak tunggal untuk meningkatkan produktivitas, mengurangi waktu penghentian kerja, dan mengurangi biaya peralatan. Sistem ini memfasilitasi komunikasi formal dan informal antar karyawan di dalam dan luar perusahaan untuk meningkatkan pendapatan dan meminimalkan biaya.
Makalah ini membahas tentang e-commerce mulai dari pengertian, kepentingan, framework, user, infrastruktur, komponen penting, tahapan pembangunan infrastruktur, dan cara membangun aplikasi e-commerce. Keuntungan e-commerce antara lain meningkatkan efisiensi pemasaran sedangkan kelemahannya adalah kurang jelasnya penjelasan produk.
Sistem kontrol, pengendalian & keamanan sistemFery Anugra
Sistem kontrol, pengendalian, dan pengamanan sistem membahas tiga hal utama:
1. Sistem kontrol dan pengendalian, termasuk sejarah perkembangannya
2. Pengendalian keamanan sistem informasi, seperti kontrol administratif dan operasi
3. Pengamanan sistem, meliputi kontrol akses terhadap sistem komputer dan informasi"
1) The document discusses the ICT requirements for smart factories, which use cyber-physical systems and the internet of things to increase flexibility and efficiency in production.
2) It outlines the opportunities of smart factories like shorter product development and increased competitiveness, but also challenges like ensuring security, scalability, and dealing with large amounts of diverse real-time data.
3) The document examines the different levels of an ICT infrastructure for smart factories including software, middleware, hardware, sensors, networks, and systems for data collection, storage, analysis and control that link enterprise, control and device levels.
Industry 4.0 refers to the current trend of automation and data exchange in manufacturing technologies like cyber-physical systems, the internet of things, cloud computing, and cognitive computing. It involves cyber-physical systems monitoring physical processes and creating virtual copies of the physical world. In the future, businesses will establish global networks incorporating machinery, warehousing, and production facilities as cyber-physical systems that can autonomously exchange information and control each other. Industry 4.0 is expected to fundamentally improve industrial processes involved in manufacturing, engineering, materials usage, and supply chain management.
The document discusses data preparation and exploratory data analysis. It explains that exploratory data analysis involves exploring a dataset before using it, to understand the data source, data types, attribute names, duplicate rows, missing values, outliers, and univariate, bivariate, and multivariate analyses. This helps ensure the dataset is clean before applying data mining techniques to extract knowledge from the data. The document also provides examples of handling issues like missing values, duplicate rows, and outliers during exploratory data analysis.
Surat penawaran ini menawarkan pembuatan aplikasi pendaftaran siswa baru secara online untuk sekolah. Aplikasi ini akan memudahkan proses pendaftaran siswa baru secara online, meningkatkan efisiensi, dan memungkinkan akses dari mana saja. Biaya pembuatan aplikasi ini sebesar Rp3.000.000 yang dibayar setengahnya dimuka dan sisanya setelah selesai.
Dokumen ini menjelaskan cara membuat database dan tabel menggunakan console MySQL, meliputi langkah-langkah membuat database "Akuntansi", tabel "brg", menginput data ke tabel, dan menampilkan datanya. Kemudian keluar dari MySQL dan kembali ke Windows.
The document discusses synchronization of processes and solutions to critical section problems. It covers background on concurrency and shared data leading to inconsistent states. The bounded buffer problem is presented as an example requiring synchronization. Race conditions can occur when multiple processes concurrently update shared data. Solutions must ensure mutual exclusion and progress. Peterson's algorithm and semaphores are introduced as synchronization techniques.
Sistem Informasi Posko Keamanan bertujuan untuk mengembangkan aplikasi digitalisasi administrasi posko keamanan yang sebelumnya masih dilakukan secara manual. Aplikasi ini diharapkan dapat mempermudah pencatatan, rekap, dan penyimpanan data secara real-time serta meningkatkan transparansi dan ramah lingkungan melalui laporan digital. Proyek ini akan menghasilkan software, dokumentasi, dan laporan dengan anggaran Rp150 juta dan dijad
Teks tersebut membahas beberapa hal penting terkait cloud computing, diantaranya:
1. Menguraikan pengertian dan komponen utama cloud computing
2. Mengulas perangkat lunak cloud computing terbuka seperti OpenStack dan beberapa layanan cloud seperti Google App Engine
3. Mengidentifikasi 11 aplikasi cloud terbuka yang populer untuk berbagai keperluan
Perlindungan privasi dan data pribadi sangat mempengaruhi perkembangan ekonomi digital di suatu negara, tanpa terkecuali Indonesia. Perlindungan tersebut merupakan faktor penentu akan adanya kepercayaan daring (online trust), yang merupakan hal penting dalam transaksi digital. Privasi dan data pribadi menjadi sebuah hal yang penting karena pengguna dalam jaringan tidak akan melakukan sebuah transaksi digital apabila merasa keamanan akan privasi dan data pribadinya terancam. Salah satu perlindungan privasi dan data pribadi tersebut berkenaan bagaimana data pribadi tersebut akan diproses termasuk data sensitif dari pengguna yang apabila disebarkan ke pihak yang tidak bertanggung jawab akan berpotensi menimbulkan kerugian finansial, bahkan mengancam keamanan dan keselamatan pemiliknya. Ancaman-ancaman yang timbul dari lemahnya perlindungan privasi dan data pribadi tersebut memiliki korelasi garis lurus dengan pertubuhan ekonomi yang dihasilkan dari transaksitransaksi dalam jaringan (online)
Sistem informasi manajemen sekolah merupakan konversi manajemen sekolah secara manual menjadi sistem berbasis komputer yang memungkinkan pengelolaan data siswa, akademik, keuangan, sarana prasarana, dan lainnya secara elektronik. Sistem ini diharapkan memudahkan proses belajar mengajar, meningkatkan kreativitas siswa, dan memperluas akses informasi di sekolah.
This document discusses topics related to uncertainty problems and probabilistic machine learning. It will cover introducing uncertainty, probability theory for machine learning, Bayesian rules, and applying Bayesian rules. The key concepts that will be learned include understanding basic probability theory such as random variables, probability distributions, and joint, conditional, and marginal probabilities. Learners will also understand how to apply Bayesian reasoning to cases such as predicting gender, COVID-19 infection risk, and medical diagnosis based on symptoms.
The document provides an introduction to the topic of deep learning. It outlines the learning objectives, which are to define machine learning techniques like linear regression, rule-based learning, probabilistic learning, and clustering, as well as the basic concepts of deep learning and its implementation in image recognition using convolutional neural networks. The topics to be covered are the history of artificial intelligence and neural networks, visualizing deep learning concepts, essentials of deep learning like perceptrons and backpropagation, and convolutional neural networks in detail.
The document discusses common problems with data for artificial intelligence projects. It explains that real-world data is often messy and requires significant preprocessing before being used to train machine learning models. Some specific problems covered include noisy or undefined data, errors in data definition, capture, measurement, and sampling. The document also notes other considerations like data accessibility, costs, agreements, privacy issues, and reliability.
This document discusses data preparation techniques for machine learning, including data cleaning, feature selection, data transforms, feature engineering, and dimensionality reduction. It provides an overview of each technique and examples of common methods used. The document also outlines a lesson plan that will cover these topics in more detail, with the goal of helping students understand fundamental concepts in data preparation.
The document provides information about an upcoming Google Developer Student Club (GDSC) event at KMIT. It introduces the GDSC program and describes how students can learn new skills through hands-on workshops, projects and interacting with other developers. The core team leading the KMIT GDSC chapter is introduced. Upcoming events on cloud computing, Flutter, artificial intelligence/machine learning and web development are briefly outlined. Students are encouraged to join the GDSC community to enhance their skills and career opportunities.
K-12 Computing Education for the AI Era: From Data Literacy to Data AgencyHenriikka Vartiainen
1) The keynote presentation discusses the need to update K-12 computing education from a focus on computational thinking to include data literacy and data agency given the rise of artificial intelligence and machine learning.
2) Examples are provided of emerging approaches to teaching AI/ML concepts to students, such as workshops exploring image recognition tools and having students design their own machine learning applications.
3) Significant changes are needed in K-12 computing education due to differences between classical programming paradigms and modern data-driven AI, including new technical concepts, problem-solving approaches, sources of problems, and ethical considerations around topics like algorithmic bias and data privacy.
An exploration of AI and analytics, blockchain, robotics and 3D printing, 5G and immersive technology, gamification, video based learning and their likely impact on learning in the medium term. Also has some cautions. Developed for a series of presentations across Canada.
The document discusses topics related to ethics and social impacts of artificial intelligence technology. It covers several learning outcomes, including understanding weaknesses of AI in cases of racial and gender bias due to inaccurate datasets. It also covers various materials, such as racial and gender bias in AI, how AI learns unhealthy stereotypes through word embedding models, explainable AI, deepfakes, and AI cyberattacks. Finally, it discusses ethics in AI development regarding principles of transparency, fairness, safety, accountability, and privacy.
The document discusses topics related to rule-based machine learning, clustering, and association rules. It covers the following key points:
- The learning objectives of the course, which include understanding decision trees, entropy, information gain, clustering, and association rules.
- The course materials, which cover introduction to decision trees, entropy and information gain, clustering, and association rules.
- An introduction to decision trees, including how they represent classification problems using nodes and branches to represent attributes and values. Information theory helps determine the role of attributes in tree construction.
Advanced Software Engineering Program with IIT MadrasMamathaSharma4
The document provides information about an Advanced Certification program in Software Engineering for Cloud, Blockchain & IoT offered jointly by IIT Madras and Great Learning. The 9-month online program aims to equip professionals with in-demand skills in cutting-edge technologies. It will cover topics like software design, databases, IoT, cloud computing, containers, blockchain development and more. The rigorous curriculum is designed by IIT Madras and includes projects, assignments and mentorship. Great Learning will also offer career assistance services to help candidates secure jobs with their 400+ hiring partners.
Machine learning is the study of algorithms and statistical models that allow computer systems to perform tasks without being explicitly programmed. It builds mathematical models from sample data to make predictions or decisions. There are four main types of machine learning: supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. Machine learning has various applications including web search, computational biology, finance, e-commerce, robotics, and social networks. Key elements of machine learning systems include representation, evaluation, and optimization techniques.
1) The document announces an upcoming unveiling event and introductory session about Google Developer Student Clubs (GDSCs) at Arka Jain University - Jamshedpur. 2) It provides information on what GDSCs are, the benefits of joining, and introduces the GDSC lead and faculty advisor at the university. 3) Details are given about exciting upcoming events and opportunities through the GDSC, including workshops, hackathons, and a cloud computing campaign from Google.
CATIA (Computer Aided Three Dimensional Interactive Application) is a multi platform software suite for CAD/CAM/CAE/3d-PLM of managing the entire life cycle of the product.This course is designed on a process based approach to complete a particular task and help you build a solid foundation. CATIA enables users to optimize their product design and engineering processes into innovative,efficient and time saving projects.
Learn More at - https://www.diyguru.org/course/catia/
This document discusses the use of artificial intelligence techniques for preventing cyber attacks and detecting security threats. It begins by introducing AI and its potential applications in cybersecurity, such as detecting abnormalities in network traffic. It then discusses specific AI methods like machine learning that can be used for tasks like threat detection, securing IoT networks, and building resilient models. The document provides examples of how techniques like neural networks, support vector machines, and explainable AI can help automate cybersecurity monitoring and response. In summary, the document outlines the growing role of AI in cybersecurity defense and how various AI approaches are being applied to combat cyber attacks.
The document describes the development of an Android-based quiz application. The application allows users to take multiple-choice question (MCQ) tests on various domains. It discusses features like user registration, login, instructions, taking tests within a timer, viewing scores. The application is developed using technologies like Android Studio, Java, and uses an emulator for testing. It aims to provide an advanced online platform for conducting MCQ exams that saves time and effort compared to traditional in-person exams.
City i-Tick: The android based mobile application for students’ attendance at...journalBEEI
This paper presents City i-Tick, the android based mobile application for students’ attendance at a university. In this study, we developed mobile application for lecturers to take students’ attendance in City University, Petaling Jaya. Managing students’ attendance during lecture periods has become a difficult challenge. The research objectives for this study are to identify user requirement for City i-Tick, to design and develop City i-Tick, and to demonstrate the prototype of City i-Tick. The study is a narrative participatory design and exploits Design Thinking as the research methodology. City i-Tick was successfully validated by 14 lecturers and System Usability Scale (SUS) was used to determine the findings of the study. We found that City i-Tick is effective for lecturers in taking attendance because it is easy to use, easy to learn, and the users feel confident when using this application.
This presentation aims to introduce GSoC to new mentors and mentoring organizations. More details - https://kkpradeeban.blogspot.com/2019/12/google-summer-of-code-gsoc-2020-for.html
IRJET- Android Application for Training and Placement Cell using Machine ...IRJET Journal
This document describes an Android application that was developed to automate the activities of a university's training and placement cell. The application aims to better manage and support the placement process through coordination between students, alumni, recruiters, and the training and placement officer (TPO). It allows users to register profiles, view job postings and workshops, apply for opportunities, and communicate via a chat forum. The application is intended to address issues with the existing manual system by reducing errors, improving data access and updating, and facilitating improved communication across user types. A prototype of the application demonstrates login and registration screens as well as the intended user interfaces and flow between modules.
Android Based E-Learning Application Class-EIRJET Journal
The document describes an Android-based e-learning application called "Class-E" developed by undergraduate students. The application aims to provide a digital learning platform to support dynamic e-learning. It will have separate interfaces for administrators and students. Administrators can manage course content and tests on a web-based interface, while students access tutorials, tests and results on an Android application. The application is designed to make learning more interactive and accessible anywhere through mobile devices.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Modul Topik 1 - Kecerdasan Buatan
1. Topik 1
Definisi, Topik, dan Terminologi
Kecerdasan Buatan
Dr. Sunu Wibirama
Modul Kuliah Kecerdasan Buatan
Kode mata kuliah: UGMx 001001132012
March 31, 2022
2. March 31, 2022
1 Capaian Pembelajaran Mata Kuliah
Topik ini akan memenuhi CPMK 1, yakni mampu mendefinisikan pengertian sistem cer-
das, berbagai macam terminologi di bidang kecerdasan buatan, dan berbagai macam aplikasi
sistem berbasis kecerdasan buatan. Adapun indikator tercapainya CPMK tersebut adalah
mampu membedakan konsep narrow AI dan general AI, mengerti konsep umum machine
learning (supervised, unsupervised, reinforcement learning), mengerti contoh penerapan AI
dan peluang AI di dunia kerja.
2 Cakupan Materi
Cakupan materi dalam topik ini sebagai berikut:
a) What is AI: mengenal konsep dasar kecerdasan buatan dan aplikasinya dalam kehidu-
pan sehari-hari.
b) AI and The Future of Jobs: mengenal dampak dari penerapan kecerdasan buatan
terhadap dunia kerja dan peluang digantikannya sumber daya manusia dengan mesin.
c) Learning AI: materi ini berisi seputar berbagai macam cara untuk mempelajari kecer-
dasan buatan, mulai dari pendekatan secara konseptual (conceptual approach), secara
algoritmis (algorithmic approach), secara matematis (mathematical approach), sampai
dengan melaui praktik nyata untuk memecahkan permasalahan tertentu (real case
study).
d) Machine Intelligence Continuum: materi ini berisi tentang pembagian kecerdasan
mesin menjadi beberapa tingkatan. Kecerdasan mesin dibagi berdasarkan kemam-
puan mesin untuk menyelesaikan tuga dalam domain pengetahuan yang sempit, luas,
dan bagaimana mesin mampu beradaptasi dengan domain pengetahuan yang baru.
e) Expert Systems and Machine Learning: materi ini berisi penjelasan tentang teknologi
kecerdasan buatan paling awal, yang dikenal dengan expert systems. Kelemahan expert
systems pada akhirnya mendorong para peneliti untuk menemukan teknik lain yang
dapat digunakan untuk melatih mesin melakukan suatu tugas secara otomatis tanpa
harus diprogram secara eksplisit. Metode inilah yang disebut dengan machine learning.
f) Supervised Learning, Unsupervised Learning and Reinforcement Learning: materi ini
membahas tipe-tipe machine learning yang sering dijumpai dalam pemecahan problem-
problem praktis. Tipe-tipe machine learning ini dijelaskan dengan ilustrasi yang in-
tuitif untuk memudahkan pemahaman.
g) Various AI Applications: materi ini menjelaskan tentang berbagai implementasi ke-
cerdasan buatan di bidang kesehatan (healthcare), pengawasan lalu-lintas (traffic mon-
itoring), keamanan (security), dan interaksi manusia-komputer (human-computer in-
teraction).
1