#MATLAB programmers

[autogeneity]

apparently I have an aversion to learning R because my brain has decided (with barely any exposure) that it is ugly. this is dumb as bricks

[starfriday]

Flipkart Unveils Upgraded ‘Plus’ Loyalty Programme In A New Campaign, Spotlighting SuperCoins On Every Shopping Transaction

Bengaluru, India – 17 June, 2025: Flipkart, India’s homegrown e-commerce marketplace, has unveiled its upgraded loyalty programme ‘Flipkart Plus’ in a vibrant new campaign that showcases how every shopping transaction on Flipkart can be a rewarding experience. Flipkart Plus is Flipkart’s flagship membership program, offering great savings and shopping privileges that enable customers to shop smarter. At the heart of the program is SuperCoins, which is the rewards currency that, for the first time, now unlocks an extra 5% off across all Flipkart products. Flipkart Plus also offers privileges such as additional bank offers, special access to all major shopping events, and assured post-order surprise ‘Treats’ (such as gift cards and coupons), thereby directly rewarding them. This approach is redefining the loyalty experience in the retail ecosystem by building it around the customer’s shopping activity, and not an upfront fee.

The new Flipkart Plus campaign features a dynamic digital film starring an effortlessly cool Dadaji and Dadiji, who break stereotypes and redefine smart shopping with unmatched flair. Set against the lively backdrop of a semi-urban terrace, the ad opens with Dadaji skateboarding in shades and headphones while watering plants, setting the tone for a cheeky, high-octane narrative. A neighbor’s playful question, “Inki pension dollars mein aati hai kya?” is met with a quip from Dadiji: “Flipkart Plus se aati hai! SuperCoins milte hain har order pe!” She then reveals how SuperCoins unlock extra savings of 5% off across categories like electronics, fashion, and daily essentials while flaunting a slick Bluetooth speaker. The film culminates in a rhythmic hip-hop groove, as the senior duo dances with panache, making a bold statement: loyalty is best served with swag. The Flipkart blue and yellow flash across the screen with a final message: ‘SuperCoins matlab Super Savings’.

What is unique about Flipkart Plus?

- Flipkart Plus rewards loyal customers with an array of benefits, without charging them a membership fee

- With SuperCoins earned on every order (1 SuperCoin = ₹1 saving) and the ability to redeem them across the entire selection, Flipkart Plus makes savings simple and seamless.

- Plus Members will get early access to all big Flipkart shopping events, along with special bank offers. They can also unlock surprise Treats (gift cards, coupons, and more valued at ₹50+) as they achieve shopping milestones

- Customers can become a Plus Silver member by completing just 10 transactions in 12 months. They can unlock Plus Gold by completing 20 transactions and get additional SuperCoin earnings on every order and higher bank offers during the early access window

Speaking about the Flipkart Plus programme, Rahat Patel, Vice President - Loyalty, Flipkart, said, “Flipkart Plus aims at delivering unmatched value to its customers every single day. Our most engaged customers, part of the Plus program, earn SuperCoins on every order. These can then be redeemed across our entire selection of products - from daily essentials and fashion to electronics and beyond. Deepening this value promise, during Flipkart's major shopping events, Plus members unlock additional bank offers during the ‘Early Access’ window, making every shopping celebration more rewarding. For some shoppers, we also have a little surprise value-unlock through ‘Plus Treats’ too. We remain committed to unlocking smarter shopping by enabling real and daily value on every single shopping transaction.”

[dekhocampus11]

Doaba College, Jalandhar

Introduction

Established in 1941 under the aegis of Arya Shiksha Mandal, Doaba College in Jalandhar stands as a beacon of quality education in Punjab. Spanning over 21 acres, the college has evolved into a premier institution affiliated with Guru Nanak Dev University, Amritsar. It offers a diverse array of undergraduate and postgraduate programs across various disciplines, including Science, Commerce, Arts, Management, Journalism, and Hotel Management.

Academic Excellence

Doaba College is renowned for its academic rigor and commitment to holistic development. The institution offers a range of programs, from traditional courses in Science, Commerce, and Arts to specialized degrees in Journalism, Mass Communication, and Business Economics. The college has been a pioneer in introducing postgraduate courses in Commerce and Mass Communication in the region. Accredited with an 'A' grade by NAAC, the college's curriculum is designed to foster critical thinking, creativity, and practical skills among students.

Infrastructure and Facilities

The college boasts state-of-the-art infrastructure to support both academic and extracurricular activities. Key facilities include:

Classrooms and Laboratories: The college houses 65 spacious, well-ventilated classrooms equipped with ICT tools. There are 14 science labs, 6 computer labs, and specialized facilities like the Sh. Yash Chopra Audio-Visual TV Studio and English Language Lab.

Library: A vast collection of books, journals, and digital resources to support research and learning. The library provides 24-hour accessibility, ensuring students have ample resources for study.

Hostels: Separate hostels for boys and girls are available, offering modern amenities, hygienic mess facilities, and recreational areas.

Sports Facilities: The college has a swimming pool, indoor gymnasium, and playgrounds for various sports, promoting physical fitness and sportsmanship.

Cafeteria: Offers a variety of healthy and hygienic food options.

Wi-Fi and IT Infrastructure: The entire campus is Wi-Fi enabled, and computer labs are equipped with the latest hardware and software to facilitate digital learning.

Professional Development and Industry Collaboration

Doaba College emphasizes the importance of industry readiness. The institution has established Memorandums of Understanding (MOUs) with various industries and research organizations to provide students with practical exposure. Add-on courses in areas like Insurance, Banking, Computer Animation, and Journalism are offered to enhance employability. The Professional Development Programme (PDP) organizes workshops on tools like MATLAB and LaTeX, equipping students with skills relevant to their fields.

Placement and Career Support

The college's Placement and Industry Interface Cell plays a pivotal role in bridging the gap between academia and industry. It conducts personality development sessions, communication skill workshops, and entrepreneurship training to prepare students for the job market. Notable alumni include film director Yash Chopra, comedian Gurpreet Ghuggi, and politicians Prem Kumar Dhumal and Manoranjan Kalia, reflecting the college's diverse impact on various sectors.

Cultural and Extracurricular Activities

Beyond academics, Doaba College offers a vibrant campus life. The Student Council organizes events like the Doaba Youth Festival, National Media Fest 'Communis', and Talent Hunt, providing platforms for students to showcase their talents. The college also encourages participation in NCC and NSS, instilling values of discipline and social responsibility.

Conclusion

Doaba College, Jalandhar, with its rich legacy, state-of-the-art infrastructure, and commitment to holistic education, stands as a testament to academic excellence in the region. It continues to shape the future of its students, preparing them to excel in their chosen fields and contribute meaningfully to society.

[servotechinc78]

Embedded Control Software Systems: Powering Intelligent Automation

Embedded control software systems are the unseen brains behind many of today’s most advanced technologies. From industrial machines and automotive systems to consumer electronics and medical devices, these systems ensure that everything operates efficiently, safely, and reliably. Embedded control software is a combination of software and hardware engineered to perform dedicated control functions within larger systems, often with real-time constraints and minimal user interaction.

This article explores what embedded control software systems are, how they work, their architecture, applications, benefits, and challenges.

What is an Embedded Control Software System?

An embedded control software system consists of three main components:

Embedded Hardware (Microcontroller or Microprocessor) – This is the processing unit that executes the control logic.

Control Algorithms (Software) – Written in programming languages like C or C++, these define the behavior of the system based on inputs and desired outputs.

Sensors and Actuators – Sensors provide feedback from the environment (e.g., temperature, speed), while actuators carry out control actions (e.g., motor movement).

These systems are “embedded” because they are integrated into larger products, and they typically perform one or more specific control functions rather than general-purpose computing tasks.

Key Features of Embedded Control Software

Real-Time Operation: Embedded control software often operates in real time, meaning it must respond to inputs within a strict time frame.

Determinism: The system must behave in a predictable manner, particularly in safety-critical applications like automotive or aerospace.

Low Power and Resource Constraints: Many embedded systems are deployed on hardware with limited processing power, memory, and energy.

Reliability and Robustness: Since embedded systems are often deployed in harsh environments, they must be stable and resistant to failure.

Minimal User Interaction: Most embedded control systems are designed to operate with limited or no user interface.

Architecture of Embedded Control Systems

Input Interface: Collects data from sensors or communication channels.

Control Software: Applies algorithms (e.g., PID, fuzzy logic, model predictive control) to decide what action should be taken based on inputs.

Output Interface: Sends control signals to actuators (motors, valves, lights, etc.).

Feedback Loop: Ensures the system continuously adjusts itself based on output performance.

For example, in an automotive cruise control system:

Input: Speed sensor measures vehicle speed.

Control Software: Compares current speed with desired speed.

Output: Sends signals to the throttle actuator to maintain or change speed.

Feedback: Adjusts continuously as road conditions or driver input change.

Applications of Embedded Control Software Systems

1. Automotive Industry

Engine control units (ECUs)

Anti-lock braking systems (ABS)

Adaptive cruise control

Lane-keeping assistance

Airbag deployment systems

2. Industrial Automation

Programmable logic controllers (PLCs)

Robotic arms

Process control in manufacturing lines

Condition monitoring systems

3. Consumer Electronics

Smart thermostats

Washing machines

Microwave ovens

Smart TVs and remote controllers

4. Aerospace and Defense

Flight control systems

Missile guidance

Radar systems

UAV navigation

5. Healthcare

Medical infusion pumps

MRI and imaging equipment

Wearable health monitors

Automated ventilators

Development Process for Embedded Control Software

Requirement Analysis: Define functional and non-functional requirements, such as timing constraints and energy consumption.

System Design: Select hardware platform and define software architecture.

Algorithm Development: Create control logic using mathematical models or empirical rules.

Implementation: Code the algorithms using languages like C, C++, or model-based tools such as MATLAB/Simulink.

Simulation and Testing: Validate performance through simulation, hardware-in-the-loop (HIL) testing, and real-world trials.

Deployment and Maintenance: Deploy code to the embedded hardware and ensure updates or bug fixes are managed safely.

Model-Based Design in Embedded Control

A growing trend in embedded control software development is model-based design (MBD). Engineers use graphical models to design, simulate, and automatically generate code for control algorithms. Tools like Simulink allow for rapid prototyping, reduced coding errors, and quicker time to market. This is especially useful for systems that require frequent iterations or are highly complex.

Benefits of Embedded Control Software Systems

Efficiency: Optimizes system performance, energy use, and functionality.

Precision: Ensures accurate control in critical applications like medical devices and aerospace.

Cost-Effectiveness: Minimizes the need for manual intervention and large hardware setups.

Scalability: Can be tailored for use in simple household gadgets or complex industrial machinery.

Safety and Reliability: Especially in automotive and aviation, embedded control systems contribute to increased safety through reliable automation.

Challenges in Embedded Control Software Development

Real-Time Constraints: Meeting strict timing requirements can be difficult.

Resource Limitations: Must operate on hardware with limited memory and processing capabilities.

Debugging Complexity: Difficult to test systems in real-time without disrupting performance.

Cybersecurity Risks: Increased connectivity (IoT integration) exposes systems to potential attacks.

Maintenance and Upgrades: Embedded systems often need to be updated securely, especially in remote or critical applications.

Future Trends in Embedded Control Systems

AI and Machine Learning Integration: Adaptive systems that learn from data for more intelligent control.

Edge Computing: Processing control logic closer to the source (sensors/actuators) to reduce latency.

Wireless and IoT Connectivity: Embedded systems communicating via 5G or other wireless protocols.

Open-Source Platforms: Tools like Arduino and Raspberry Pi are making embedded control development more accessible.

Conclusion

Embedded control software systems by Servotechinc are the cornerstone of modern intelligent automation. By integrating sensors, control algorithms, and actuators into compact, efficient packages, these systems bring intelligence to machines across countless industries. Whether improving the safety of vehicles, the precision of medical devices, or the efficiency of industrial processes, embedded control systems play a pivotal role in shaping a smarter, more connected world.

[krmangalam121]

B.Sc. in Data Science: Course Details, Eligibility Criteria & Syllabus

B.Sc. in Data Science is a 3-year undergraduate course designed for individuals who aspire to obtain insights from structured and unstructured data. K.R. Mangalam University has crafted this programme to teach candidates about statistics, machine learning and big data science. Students who have a strong programming background benefit from this course. Overall, the main objective is to develop familiar professionals who have extensive knowledge of the existing and advanced technological tools and are actively interested in carrying out investigation and synthesis with computer-oriented solutions. 

Why Pursue a B.Sc. in Data Science at K.R. Mangalam University?

Over the years, K.R. Mangalam University has been recognised as the best university in Delhi NCR for B.Sc. in Data Science due to the following reasons:

Industry Experience: Top data science experts from the industry arrive at the university to guide the students about real-world case studies. 

Rich Curriculum: Renowned industry experts and faculty members have teamed up together to develop detailed study modules. 

Career Guidance: Students get to attend career counselling sessions and receive 100% placement assistance. 

Well-Equipped Laboratories: KRMU boasts highly sophisticated laboratories which consist of cutting-edge apparatus and software. 

B.Sc. Data Science Course Details

Students keen on pursuing a B.Sc in Data Science from K.R. Mangalam University must have a look course highlights below. This will give you a clear idea about the fee structure and other details associated with the course. 

The B.Sc. (Hons.) Data Science is a full-time undergraduate programme with a duration of 3 years. To be eligible, candidates must have passed 10+2 or an equivalent examination from a recognised board with a minimum of 50% aggregate, with Mathematics, Computer Science, or Information Technology as a compulsory subject. The annual programme fee is ₹1,35,000 (as of 30th April 2025). This course equips students with analytical, statistical, and programming skills essential for data-driven decision-making. Graduates are well-prepared for roles in various industries, with top recruiters including Deloitte, IBM, Amazon, Accenture, The Times Group, and TATA Cliq Luxury.

B.Sc. Data Science Syllabus

There are various B.Sc. Data Science subjects that students need to pursue while studying this course at KRMU. Here are some of them.

Fundamentals of Web Technologies

Matlab Programming

Essentials of Data Science

Introduction to Discrete Structures

Introduction to Data Structures

Fundamentals of Machine Learning

Fundamentals of Algorithm Design & Analysis

Introduction to Database Management Systems

Computer Organisation and Architecture

B.Sc. Data Science Admission 2025

You need to be thorough with the admission procedure if you’re interested in pursuing this programme at K.R. Mangalam University in 2025. The admission procedure is as follows: 

Visit www.krmangalam.edu.in to apply for a B.Sc. in Data Science course.

Fill up the application form.

Complete the payment procedure.

Sit for the KREE entrance test.

Go for the faculty-led interview. 

If selected, you will receive the admission offer.

Enrol for B.Sc. in Data Science at KRMU. 

Conclusion

Selecting an appropriate university for a B.Sc. in Data Science requires careful planning and consideration of multiple factors. Although, there are so many universities in Delhi-NCR, K.R. Mangalam University is still the most preferred option amongst all. With modern amenities, an extensive curriculum and state-of-the-art infrastructure, it has become an excellent choice for aspiring data scientists. 

Frequently Asked Questions 

What is the full form of a B.Sc in Data Science?

B.Sc in Data Science stands for Bachelor of Science in Data Science.

Why should I pursue a B.Sc in Data Science from K.R. Mangalam University?

KRMU is known for picking up the best talent and preparing them for the future-ready professional. Henceforth, it’s the best decision to pursue this course from here. 

Can I study B.Sc in Data Science after the 12th?

Students looking forward to pursuing a career in data science can pursue this course after higher secondary school. 

What kind of skills are required to pursue this programme?

You need to demonstrate strong analytical and problem-solving skills to succeed in this programme. 

[govindhtech]

Intel Agilex 7 FPGA and SoC Improve Hardware Acceleration

Intel Agilex 7 FPGA

Synchronising Wireless RAN Timing with Altera Agilex 7 SoC FPGAsUsing AI

FPGA intelligent holdover and adaptive clock correction reduce GNSS reliance.

Modern Radio Access Networks (RAN) require precise timing for performance and stability. Low-latency scheduling, base station synchronisation, and coordinated multi-point (CoMP) broadcasts need precise frequency and phase alignment in wireless infrastructure.

Synchronisation usually uses GNSS, PTP, and SyncE protocols. When urban canyon effects block GNSS signals, indoor deployment, jamming, or spoofing devices must switch to holdover, which often decreases accuracy, increases jitter, and interrupts service.

Clock Drift Prediction with Machine Learning | AI-Enhanced Holdover

Altera's innovative technology provides AI-driven timing holdover using MLP and LSTM neural networks that are taught to recognise and anticipate clock drift tendencies in real time. Direct implementation of these models onto Agilex 7 SoC FPGAs ensures ultra-low-latency GNSS signal loss adaption.

This method dynamically modifies the Digital Phase-Locked Loop (DPLL) per learning environmental behaviour.

Maintains frequency synchronisation without GNSS.

Up to 10 times less electricity and upkeep.

Adjusts for age, temperature, and voltage-induced oscillator drift

Guarantees real-time clock correction for next-generation RANs.

Resilient Open and Edge RAN

The Altera FPGA AI Suite, Quartus Prime, and PTP Servo IP were used to develop this MATLAB solution. Stress-tested in various environments and validated by multi-day drift simulations. It provides temporal robustness even in poor deployment conditions, making it suitable for Open RAN, private 5G, and remote edge deployments without GNSS.

We Value Intelligence at FPGAi

FPGAi lets system builders build hardware with intelligence that adapts to more complicated timing challenges as networks approach the edge. This AI-native synchronisation solution shows how neural inference and programmable logic cut TCO and improve RAN dependability.

SoC with Intel Agilex 7 FPGA

The top FPGAs provide industry-leading fabric and IO rates for most bandwidth, compute, and memory-intensive applications.

Agilex 7 devices outperform 7 nm FPGAs in fabric performance per watt. 32GB HBM2e, PCIe 5.0, CXL, integrated Arm-based CPUs, and 116Gbps transceivers are also available. These qualities make them perfect for broadcast, data centre, networking, industrial, and defence.

Agilex 7 SoC FPGA F-Series

F-Series FPGAs use Intel's 10 nm SuperFin fabrication process. They are ideal for many applications in many markets due to their high-performance crypto blocks, strong digital signal processing (DSP) blocks that enable various precisions of fixed-point and floating-point operations, and transceiver speeds up to 58 Gbps.

I-Series Agilex 7 FPGA and SoC

I-Series devices provide the finest I/O interfaces for bandwidth-intensive applications. This series, based on Intel's 10 nm SuperFin manufacturing technology, extends on the F-Series' PCIe 5.0 capability, cache- and memory-coherent connection to CPUs via CXL, and up to 116 Gbps transfer speeds.

Agilex 7, SoC FPGA M-Series

Memory and computation-intensive applications are ideal for M-Series devices. This series uses Intel 7 process technology to expand on I-Series device features like integrated high-bandwidth memory (HBM) with digital signal processing (DSP) and high-efficiency interfaces to DDR5 memory with a hard memory Network-on-Chip (NoC) to maximise memory bandwidth.

Advantages

Design Optimisation Benefits from Core Architecture

The second-generation Intel Hyperflex FPGA Architecture improves performance, power consumption, design capabilities, and designer productivity, enabling design optimisation.

Increase DSP speed and performance

The first FPGA with protected half-precision floating point (FP16) and BFLOAT16 delivers up to 38 tera floating point operations per second (TFLOPS) of DSP performance for AI and other compute-intensive applications.

Maintain Integrity and Privacy with Strong Security Features

The dedicated Secure Device Manager (SDM) manages configuration, authentication, bitstream encryption, key protection, tamper sensors, and active tamper detection and response. You may pick the functionality you need to meet your security requirements.

Application and Use Cases

Build Advanced Networking Solutions using Agilex 7 FPGAs and F-Tiles

Silicon and chiplet technologies provide scalability, flexibility, power economy, and hardened function performance, making them essential for FPGA system-level design.

Agilex 7 FPGAs Create Affordable and Effective mMIMO Solutions

Mobile communications demand is rising exponentially due to the number of users and their data consumption. To meet rising demand, mobile network operators (MNOs) are moving to 5G mobile networks and HF RF bands.

Agilex 7 FPGAs Target 5G, SmartNICs, IPUs

When fast networks are assaulted, edge-to-cloud cyberattacks and data breaches grow. Since cyberattacks and data breaches are increasing, encrypted communications are useful. 5G networks, OvS, and network storage.

Key Features

Second-generation Intel Hyperflex FPGA Architecture: The Intel Hyperflex FPGA design adds Hyper-Registers, bypassable registers, throughout the FPGA fabric. They are available at functional block and interconnect routing segment inputs.

Variable-Precision DSP: The unique DSP design allows DSP blocks to do multiplication, multiply-add, multiply-accumulate, floating point and integer addition, and variable-precision signal processing.

Interface for DDR4: Hardened memory controllers solve memory system constraints in high-performance computers and data centres with performance, density, low power, and control.

Hardened Arm Cortex-A53 quad-core SoC.

[tech4bizsolutions]

AI-Powered Pantograph Monitoring — From Concept to MATLAB & PLC Validation!

Revolutionizing Railway Safety & Efficiency with AI and Automation

The future of railway maintenance and safety is here! At Tech4Biz Solutions, our Research & Development (R&D) team has developed a cutting-edge real-time monitoring solution to enhance railway operations. Our AI-powered system ensures seamless pantograph alignment, stagger analysis, and overhead wire height deviation detection using advanced MATLAB simulations and PLC validation.

Why Pantograph Monitoring Matters

The pantograph plays a critical role in railway electrification, ensuring a stable connection between the train and overhead wires. However, any misalignment, excessive stagger, or wire height deviation can cause power loss, arcing, or even system failures. Our AI-powered monitoring solution prevents such risks and enhances railway safety by implementing:

✅ Real-time fault detection & predictive maintenance — Detects anomalies before they escalate into failures. ✅ Power loss prevention & arcing reduction — Ensures uninterrupted electricity flow for high-speed trains. ✅ Safer & more reliable railway operations — Enhances overall infrastructure longevity and efficiency.

Our Innovative Approach

🔹 MATLAB-Based AI Simulations

We leverage MATLAB’s computational power to simulate dynamic train movements, analyze real-time deviations, and integrate UAV-assisted LiDAR scanning. This allows for accurate pantograph alignment monitoring and predictive failure analysis, ensuring optimal railway system performance.

🔹 PLC Logic Implementation

By integrating Programmable Logic Controllers (PLCs), we have developed a robust automation system that provides:

Live monitoring of pantograph alignment & wire height deviations

Automated alert systems for early fault detection

Corrective action mechanisms to prevent costly breakdowns

🔹 System Validation & Predictive Maintenance

Combining AI-driven simulations with PLC-based real-time analytics, our solution ensures:

Timely intervention before component failures occur

Automated maintenance schedules based on system health data

Significant cost savings by reducing unexpected downtimes

Enhancing Railway Safety with AI & Automation

With railway networks expanding rapidly worldwide, safety and efficiency have become paramount. Our AI-powered pantograph monitoring solution integrates:

Advanced LiDAR edge detection for real-time scanning

Encrypted blockchain communication for tamper-proof data transmission

AI-driven decision-making for predictive maintenance

This combination of AI, MATLAB simulations, and PLC automation not only improves railway safety and reliability but also reduces maintenance costs and enhances operational efficiency.

Future Prospects & Expansion

We’re just scratching the surface of AI-driven railway monitoring. Our roadmap includes:

Further automation of railway maintenance using UAV-assisted inspections

Integration of IoT sensors for enhanced real-time analytics

Expansion into global railway networks for widespread adoption

Watch Our MATLAB Simulation in Action! 🎥

Stay tuned for a detailed demonstration of our MATLAB-based AI simulation showcasing real-time pantograph analysis and PLC-driven corrective actions.

What are your thoughts on AI in railway automation? 🚄 Share your insights and let’s discuss the future of railway technology!

[educationtech]

What Are the Top Useful Software Tools That Every Computer Science Engineering Student Should Know?

BTech students face a unique set of challenges as they navigate their academic journey, requiring access to a variety of resources and tools to enhance their learning experience. Below is a comprehensive overview of crucial resources and tools that every BTech student should be aware of, categorized into software, online courses, study materials, hardware tools, and networking opportunities.

Software Tools

1. Engineering Software

AutoCAD: Essential for computer-aided design (CAD), widely used in architecture and engineering fields.

MATLAB: A programming environment for numerical computing, crucial for algorithm development and data analysis.

SolidWorks: A powerful 3D CAD software used for modeling and simulation in mechanical engineering.

ANSYS: Used for finite element analysis (FEA) and computational fluid dynamics (CFD), important for simulations in various engineering disciplines.

2. Coding and Development Tools

Atom: An open-source code editor that supports various programming languages, ideal for software development projects.

GitHub: A platform for version control and collaboration on coding projects, allowing students to share their work and contribute to open-source projects.

3. Scientific Calculators

A reliable scientific calculator like the Texas Instruments TI-84 or Casio FX-991EX is vital for handling complex calculations encountered in engineering courses.

Online Courses and Learning Platforms

1. MOOCs (Massive Open Online Courses)

Coursera: Offers a range of courses from top universities on various engineering topics, often free or at a low cost.

edX: Provides access to high-quality courses from institutions like Harvard and MIT, covering diverse engineering fields.

Khan Academy: Features free tutorials and exercises in mathematics and science, beneficial for foundational knowledge.

2. Specialized Learning Resources

MIT OpenCourseWare: Free access to course materials from MIT’s engineering programs, enabling self-paced learning.

NPTEL (National Programme on Technology Enhanced Learning): An initiative by IITs providing video lectures and course materials tailored for Indian students.

Study Materials

1. Textbooks and Reference Books

Core textbooks covering essential subjects like calculus, physics, and specific engineering disciplines are crucial. Students should also seek additional reference books to deepen their understanding.

2. Online Study Resources

Websites such as eGFI (Engineering Go For It) provide engaging projects and career information that can supplement classroom learning.

Hardware Tools

1. Personal Computer or Laptop

A reliable laptop is essential for running engineering software, completing assignments, and conducting research.

2. Professional Toolkits

Depending on their specialization:

Mechanical engineers may require wrenches and screwdrivers.

Electrical engineers might need resistor kits and breadboards.

Civil engineers could benefit from laser levels and measuring tapes.

Networking Opportunities

1. Professional Organizations

Joining organizations such as IEEE (Institute of Electrical and Electronics Engineers) or ASME (American Society of Mechanical Engineers) can provide networking opportunities, access to resources, and professional development.

2. Study Groups

Forming or joining study groups can enhance learning through collaboration, accountability, and resource sharing among peers.

Conclusion

In Arya College of Engineering & I.T. BTech students have access to a plethora of resources that can significantly enhance their academic experience. From essential software tools like AutoCAD and MATLAB to online learning platforms such as Coursera and edX, these resources are invaluable in helping students succeed in their studies. Furthermore, having the right hardware tools, engaging with professional organizations, and utilizing study groups can create a well-rounded educational experience that prepares them for future challenges in the engineering field. By leveraging these resources effectively, BTech students can maximize their learning potential and build a strong foundation for their careers.

[qhsetools2022]

Ingénieur Data Scientist | Casablanca (Maroc)

Job title: Ingénieur Data Scientist | Casablanca (Maroc) Company: Job description: de prédictions afin d’anticiper les évolutions des données et des tendances Caractérisation des données (qualité, richesse, contenu… ingénieur bac+5 Langages de programmation : C, CC+, Python, R, Matlab … Principaux gisements de données existantes, solutions��� Expected salary: Location: Casablanca Job date: Sat, 23…

[shakshi09]

What are essential tools for embedded systems development?

Embedded systems development relies on a variety of specialized tools that help engineers design, debug, and optimize hardware and software for efficient functionality. These tools cater to diverse aspects of development, including coding, testing, and deployment.

Integrated Development Environments (IDEs): IDEs like Keil, MPLAB, or Eclipse provide a unified platform for coding, debugging, and compiling. They support multiple microcontrollers and allow developers to write and test firmware effectively.

Compilers and Debuggers: Tools like GCC, IAR Embedded Workbench, or ARM Compiler convert high-level code into machine-readable instructions. Debuggers, often integrated within IDEs, help identify and resolve errors by simulating the execution of the code step-by-step.

Hardware Tools: Programmers and debuggers such as JTAG, SWD, and ICE (In-Circuit Emulators) are essential for loading firmware onto microcontrollers and testing its functionality. Oscilloscopes and logic analyzers help monitor electrical signals for hardware debugging.

Simulation Tools: Before hardware is ready, simulation tools like Proteus or MATLAB allow testing of embedded systems in a virtual environment, saving time and reducing costs.

Version Control Systems (VCS): Tools like Git ensure team collaboration by tracking changes in the codebase and facilitating parallel development workflows.

Real-Time Operating Systems (RTOS): Frameworks like FreeRTOS or Zephyr are crucial for managing tasks in real-time applications, ensuring efficiency in multitasking and resource allocation.

Understanding and mastering these tools is vital for a successful career in embedded systems. To gain comprehensive knowledge and hands-on experience, enrolling in an embedded system certification course can provide structured learning and practical exposure to industry-relevant tools and technologies.

[fortunerobotic]

Diploma courses in robotics in Dubai

One of the most inventive and rapidly developing fields in the world today is robotics. The need for qualified robotics specialists is greater than ever as technology develops. Aspiring robotics engineers can improve their talents in a variety of ways in Dubai, a global center for innovation and technology. A robotics diploma program gives students a thorough foundation in this innovative discipline and gives them the skills they need to succeed in robotics design, programming, and applications.

Why Choose Robotics in Dubai?

Dubai is a great destination to pursue a robotics diploma because of its advantageous location, first-rate infrastructure, and emphasis on technical improvements. The city is home to a number of prominent universities with specialized robotics programs, supported by a robust business community spanning from manufacturing and healthcare to automation and artificial intelligence.

What Does a Diploma in Robotics Entail?

Introduction to Robotics: The history, elements, and applications of robotics are covered in this foundational lesson. The various kinds of robots, sensors, actuators, and controllers are taught to the students.

Robot Programming: This section covers programming languages like Python, C++, and MATLAB, which are frequently used to operate and program robots. Robot programming is an essential part of robotics.

Automation and Control Systems: PLC (Programmable Logic Controller) programming, sensors, and feedback loops are some of the robotics-related automation and control systems that students study.

Mechatronics: The study of mechatronics is essential to comprehending how software, mechanical, and electrical engineering are combined in the multidisciplinary subject of robotics. This module covers mechanical design, circuit analysis, and electronic component integration.

Robot Design and Manufacturing: This module covers the practical aspects of designing and creating robots, such as understanding manufacturing processes, using CAD (Computer-Aided Design) software, and prototyping.

Machine learning and artificial intelligence (AI) are essential to the operation of many contemporary robots. Students study artificial intelligence (AI) and its applications to robotics, such as autonomous systems, pattern recognition, and machine learning methods.

Robotics Applications: This subject gives students an overview of the practical uses of robotics in a variety of areas, including manufacturing, healthcare, agriculture, and services.

Robotics Project: In this practical, project-based course, students use their knowledge to create and construct their own robotic systems.

Career Opportunities After a Robotics Diploma

Robotics engineers design, build, and test robots for a range of industries, including healthcare and industry.

Automation Specialist: Putting automation technologies into place in sectors including construction, logistics, and manufacturing.

Working with robots to improve their capabilities using AI and machine learning algorithms is the role of an AI and machine learning engineer.

Robotics technicians are responsible for maintaining and fixing robotic equipment used in research, manufacturing, and healthcare.

Innovation and development of new robotics technology at research labs or tech businesses is known as research and development, or R&D.

Entrepreneurship: Given the explosive expansion of the robotics market in Dubai, launching a robotics-based company or consultancy practice.

Anyone who is enthusiastic about technology and creativity might consider pursuing a diploma in robotics in Dubai. The city is a great place to acquire cutting-edge robotics skills because of its innovative approach to industry and education. Enrolling in a robotics diploma program opens up a range of job options in a vibrant and active field, in addition to providing access to top-notch education.

Dubai provides a stimulating and expanding environment for robotics specialists, regardless of their career goals—automation, artificial intelligence, or robotics design. Enroll in a robotics diploma program today to start your path into one of the most exciting future fields and take the first step towards a fulfilling future.

To know more, click here.

[takeoffproject]

Best VLSI Projects for ECE Students

The terminology “VLSI” means Very Large Scale Integration Technology. It is usually concerned with the development of integrated circuits by merging several thousands of transistor circuitries with numerous kinds of logical circuitries. Contrary to the conventional integrated circuits, the integrated circuits built using VLSI concepts consume less area and space for the sake of optimization.

Best Tools Used for VLSI Projects

As far as the VLSI designs are concerned, many different tools are being utilized depending on the applications served. Furthermore, several fabrication methodologies are being adopted. Let us now look at the best Tools used for VLSI projects:

Siemens EDA

 Synopsys

Cadence EDA

Silvaco

Tanner EDA

Xilinx Vivado

Xilinx ISE

VLSI Project Genres

While pursuing the projects on VLSI, the students have the option to choose their diverse topics spanning from building of the fundamental digital circuitry to sophisticated circuitry. Some of those genres within VLSI are indicated below.

VLSI serving machine learning

 Raised-speeded VLSI

Reduced-powered VLSI

Within the realm of VLSI Projects, there are certain exciting areas to do the final year projects. Some of those exciting areas, namely, System-on-a-Chip (SOCs); MATLAB; IEEE standards; Field Programmable Gate Array applications (FPGAs); Xilinx, etc. These projects can be undertaken by both UG and PG engineering course-pursuing students. We are now curating and presenting the students with such projects in the following bulletins:

Conclusion

The VLSI field has the potential to host a diverse range of projects for engineering students, which can help in providing sustainable solutions like reduced-power operating circuitry. VLSI Projects can also serve certain state-of-the-art applications like cryptography, image identification, and the Internet of Things (IoT).

[servotechinc78]

Embedded Controls Development: From Design to Deployment

Embedded controls development is a critical area in embedded systems engineering, involving the design, programming, and integration of control systems into hardware platforms. These systems are typically found in devices that perform dedicated functions, ranging from consumer electronics to industrial automation and automotive applications. The development process requires a combination of hardware knowledge, software engineering, and systems integration skills.

What Are Embedded Controls?

Embedded controls are computer-based systems that control specific functions within a larger mechanical or electrical system. They use microcontrollers, digital signal processors (DSPs), or microprocessors to monitor inputs from sensors, process data according to a control algorithm, and output control signals to actuators or other system components. These control loops can be simple (like turning on a fan when a sensor detects high temperature) or complex (like managing engine timing and fuel injection in modern vehicles).

Development Lifecycle

The development lifecycle for embedded controls typically follows several key stages:

Requirements Definition: Understanding what the control system needs to do. This includes identifying input/output interfaces, environmental constraints, performance requirements, and safety or compliance standards.

System Design: Creating a high-level architecture that defines how software and hardware will interact. This stage also involves choosing the right microcontroller or processor, selecting sensors and actuators, and outlining communication protocols.

Software Development: Writing code for the embedded control system, often in C or C++. Developers must consider memory limitations, real-time constraints, and hardware-specific details. This stage includes implementing control algorithms, handling interrupts, and developing communication interfaces such as I2C, SPI, UART, or CAN.

Hardware Integration: Integrating the embedded software with physical components. This includes setting up the development board, connecting sensors and actuators, and testing signal integrity and power consumption.

Testing and Validation: Rigorously testing the control system to ensure it functions as expected under various conditions. Unit testing, integration testing, and hardware-in-the-loop (HIL) simulations are commonly used to verify performance and reliability.

Deployment and Maintenance: After development and testing, the system is deployed into the final product. Ongoing maintenance may involve firmware updates, bug fixes, or performance improvements.

Tools and Platforms

A wide range of tools are used in embedded controls development, including:

Integrated Development Environments (IDEs): Tools like Keil µVision, MPLAB X, STM32CubeIDE, and Arduino IDE are popular for writing and debugging code.

Real-Time Operating Systems (RTOS): Systems such as FreeRTOS or VxWorks provide scheduling, task management, and synchronization capabilities for time-sensitive applications.

Version Control Systems: Git is widely used to manage code versions and support collaborative development.

Simulation and Modeling Tools: MATLAB/Simulink is frequently used in control systems design for simulation and code generation.

In-Circuit Debuggers/Programmers: Tools like JTAG or SWD interfaces allow developers to program and debug the target microcontroller directly.

Challenges in Embedded Controls Development

Developing embedded control systems presents several challenges:

Resource Constraints: Embedded systems often have limited CPU power, memory, and energy availability. Efficient coding and hardware optimization are essential.

Real-Time Requirements: Many control systems must respond within strict timing constraints. Missed deadlines can result in system failure or unsafe behavior.

Hardware Dependence: Embedded software is closely tied to specific hardware, requiring deep knowledge of the processor, peripherals, and electrical characteristics.

Debugging Complexity: Diagnosing problems in embedded systems can be difficult due to limited visibility into internal states and limited logging capabilities.

Safety and Reliability: In industries like automotive or medical devices, the control systems must meet rigorous safety standards such as ISO 26262 or IEC 62304.

Applications

Embedded controls are used in countless applications:

Automotive Systems: Engine control units (ECUs), anti-lock braking systems (ABS), adaptive cruise control, and infotainment systems.

Consumer Electronics: Smart thermostats, washing machines, and robotic vacuum cleaners all rely on embedded control systems.

Industrial Automation: PLCs and industrial controllers manage processes on factory floors, often integrating with SCADA systems.

Aerospace and Defense: Flight control systems, unmanned aerial vehicles (UAVs), and radar systems.

Medical Devices: Infusion pumps, pacemakers, and diagnostic equipment all include embedded control systems to ensure safe and accurate operation.

Trends and Future Directions

The field of embedded controls is rapidly evolving. Several key trends are shaping the future:

IoT Integration: Many embedded systems are now connected to the internet, allowing for remote monitoring, control, and firmware updates.

Edge Computing: More processing is being done on the device itself, reducing the need to send data to the cloud and improving response times.

AI and Machine Learning: Embedded systems are beginning to incorporate ML algorithms for pattern recognition, predictive maintenance, and adaptive control.

Model-Based Design: Tools like Simulink allow engineers to design control systems graphically and automatically generate embedded code.

Cybersecurity: As systems become more connected, securing embedded control systems against hacking and data breaches is becoming essential.

Conclusion

Embedded controls development by Servotechinc is a complex but vital discipline that sits at the heart of modern technology. From managing vehicle dynamics to enabling smart home features, embedded control systems play a crucial role in ensuring that machines operate efficiently, safely, and intelligently. As technology advances, the demand for skilled engineers in this domain will only continue to grow.

[sheaedu]

Understanding Artificial Intelligence courses

AI-based courses are specific programmes provided by a higher education institute in Australia that help you learn the abilities of the full AI ecosystem. These classes are primarily geared for advanced and basic levels and can be delivered for free or for a price. Also, if you want to take an AI course, you must have some knowledge and experience with at least one of the following programming languages: Python, C/C++, or MATLAB.

[trendingreportz]

Sweden Software Development Market - Forecast(2024 - 2030)

Sweden Software Development Market Overview

The Sweden Software Development market size is analyzed to be $7,720.7 million in 2021 and is projected to reach $10,856.3 million in 2027, growing at a CAGR of 5.9% during the forecast period 2022-2027. The global Sweden Software Development Market size is estimated to surpass $3.7 billion by 2027, growing at an estimated CAGR of more than 5.8% during the forecast period 2022 - 2027. Software development is the process of creating, designing and deploying software, which is independent of computer hardware and makes the computer programmable using various programming languages. Software development is primarily conducted by computer programmers, software engineers and software developers. Programmers and coders write source codes to program computers for specific tasks like merging databases, processing online orders, routing communications, source code generation, conducting searches or displaying text and graphics among others. According to a report by OECD, Sweden has one of the most digitally savvy populations in Europe; when it comes to familiarity with the internet and the adoption of this medium in their daily lives. The recent shift towards digitization, coupled with the growing trend towards Industry 4.0 and the Internet of Things, are some of the major factors that are driving the growth of the Sweden Software Development market. Software development in Sweden has gained a lot of traction in recent years. The markets have witnessed an increasing number of investments and acquisitions, particularly towards Computer-aided software engineering, which is projected to propel the growth of the Sweden software development market. For instance, in May 2021, the Swedish Foundation for Strategic Research (SSF), an independent public research funding organization, announced an investment of $19.7 million in software development in SSF Future Software Systems.

Report Coverage

The report: “Sweden Software Development Industry Outlook – Forecast (2022-2027)” by IndustryARC covers an in-depth analysis of the following segments in the Sweden Software Development Industry.

By Language: Java, Javascript, Python, C#, C++, C, Php, Golang, Typescript, Matlab and Others.

By Market Demand: In-House on Payroll, Hired from Secondment Providers, Hired Freelancers, Fully Outsourced.

By Deployment Type: On-Premise, Cloud.

By Business Size: Small and Medium Business, Enterprises, Government.

By End-Use Industry: Banking And Financial Institutions, Insurance Firms, Media and Entertainment, Government, Defense, Telecommunications, Automotive, Consumer Goods and Retail, Healthcare, Manufacturing, Gaming, Others.

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Key Takeaways

With the growth of software development, artificial intelligence and data sharing, the need for proper guidelines and policies relating to cyber security has become more crucial than ever. In order to combat the cyber security challenge, the Government of Sweden introduced the NIS directive in 2018, which introduced the requirements on information security and incident reporting for providers of infrastructure that are critical to the Swedish society.

As of now, most of the threat surveillance work has been handled by the financial institutions themselves and had no centralized mechanism for the purpose. Due to the growing need for a regulatory framework, in April 2019, the government of Sweden updated its Swedish Protective Security Act, which is set to tighten requirements for the security of IT systems at critical infrastructure providers under the supervision of Finansinspektionen, including the banks and market infrastructure firms. Developments like these are proving the market with new growth opportunities and is analyzed to boost the demand for the software development market in Sweden.

Although Sweden established a national strategy for cyber and information security in 2016, yet this strategy does not provide any specific guidance on how to prevent, handle or mitigate cyber-attacks in the financial sector. According to the Combatting the Cyber Threat in Sweden 2020 report by Oliver Wyman, the publishing of a sector-specific strategy for cyber security to direct the work in the Swedish financial, is set to provide the regional market with high growth opportunities in the near future. Factors like these are creating high growth opportunities for the Sweden Software Development Industry.

Sweden Software Development Market Segment Analysis - by Industry Vertical

In terms of End-use industry, the government segment also accounted for some market share in 2021 in the Sweden Software Development industry. The segment generated a revenue of $1,011.3 million in 2021 and is analyzed grow at a high CAGR of 5.87% during the forecast period to reach $1,424.3m in 2027. This is mainly due to the growing government efforts to coordinate and support digitalization within public administration and establish a framework for digital security in financial institutions in recent years. Additionally, according to the Digital Public Administration Factsheet Sweden 2021 report, the government formally launched the open data portal, dataportal.se which is aimed to provide way access to data resources from both private and public sector organizations. Furthermore, In December 2020, the Swedish government signed the Berlin Declaration on Digital Society and Value-Based Digital Government, which is aimed to foster digital transformation and Internet of Things adoption in order to allow citizens and businesses to harness the benefits and opportunities offered by modern digital technologies.

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Sweden Software Development Market Segment Analysis - by Language

By Language, Java segment accounted for the dominant market share in 2021. The segment generated a revenue of $1,554.1m in 2021 and is analyzed to grow at a CAGR of 5.8% during the forecast period to reach $2,172.3m in 2027. This is mainly owing to the high penetration of java programming language across enterprises and the availability of resources across the region. Additionally, the high rate of digitally skilled personnel in Sweden has propelled the demand for the programing language in the region. Sweden has one of the highest proportions of digitally skilled users in the world. According to the EU Education and Training Monitor 2020, 71% of the 16–19-year-old population have above basic digital and computer programming skills which is higher than the EU average. Furthermore, the growing demand for personalized software products in the region has resulted in an increase in demand for Java programming language. For instance, according to the Open Trade Gate Sweden Report by the National Board of Trade, almost 49% of the large companies, regardless of industry, develop their own software products.

Sweden Software Development Market Drivers

Increasing adoption and promotion of AI by the Government of Sweden

Artificial Intelligence is playing a vital role in the digital transformation, as it enables human capabilities including understanding, reasoning, planning and more, to be undertaken by software. This significantly increases efficiency and helps in the reduction of costs. As a result, to tap into this opportunity, in 2020, the Ministry of Enterprise and Innovation issued a report on the National Approach to Artificial Intelligence, which acknowledged the transformative nature of AI across the Internet of Things and computer programming sectors, while also emphasizing the need to create a framework that allows for the safe, secure and favorable climate for digitization and harnessing the opportunities of AI. Additionally, According to a report by Indiai.gov, for the years 2018 and 2019, the Swedish government allocated a sum of SEK 40 Million to increase focus on further education within Artificial Intelligence. Furthermore, according to a report by Indiaai.gov, the Swedish Government research and innovation agency Vinnova, invested around SEK 3Bn each year in fostering innovation across technology, transportation, communication and labor. Developments like these are promoting and boosting the adoption of Artificial Intelligence in Sweden, which is, in turn, driving the growth of the underlying software development market in Sweden.

Growing adoption of digitization in Public Administration

Sweden has one of the highest rates of internet users in the world. According to World Bank Data, in 2020, 94.5% of the Sweden population used the internet. Additionally, according to Eurostat data, 91% of the percent of the population used to the internet to interact with public authorities. Due to this high internet usage in the region, the government of Sweden is increasingly focusing on digitizing the public administration process, which is propelling the demand for the underlying software development market in the region. In January 2019 the Government established the Ministry of Infrastructure which was responsible for digitalization and facilitating seamless coordination within the Ministry with support from the unit of Digital Government. Additionally, according to the Digital Public Administration Factsheet Sweden 2020, the Government launched the Oppndata.se portal, which is set to publish open data and boost data-driven innovation in this field. According to the Digital Public Administration Factsheet Sweden 2020, at the end of 2019, the government launched two new projects which were aimed to establish a national basic data framework for basic data in public administration. Furthermore, In November 2020, changes to the justice legislation were passed through the act(2020:918) amending the Swedish Code of Judicial Procedure which is aimed to further enable and facilitate digital communication in court proceedings. Again, in March 2021, the government of Sweden started the development of Ombud, which is a Swedish national infrastructure for secure and digital management of powers of attorney and is currently under development by the Swedish Companies Registration Office, in close cooperation with the Swedish Tax Agency and the DIGG. Developments like these are some of the main factors that are driving the growth of the Sweden Software Development Market.

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Sweden Software Development Market Challenges

The increasing cost of Logging and high tax brackets are restricting the growth

Since the beginning, software engineers and developers use Logs for troubleshooting issues. As a result, maintenance and storage of the logs have become quite expensive. For instance, according to a report by Forbes, logs are becoming extremely noisy and expensive to store, especially in the Martech industry, where there is a lot of quick transactions. This significantly reduces the profit margin of enterprises, thereby hampering the growth of the underlying market. Although enterprises like Logz.io are trying to address the issue, it is still prevalent as one of the major challenges that are restricting the growth of the Software development market in Sweden. Additionally, Sweden has one of the most expensive labor rates in the Europe region along with the highest tax brackets, which significantly reduces the profit margin. According to a 2021 report by the International Trade Administration (ITA), a VAT rate of 25% generally applies to the import or sale of most products in Sweden, which represents about 18% of Sweden’s GDP, is higher than the EU average of 13%. As a result, various enterprises are outsourcing their work to a different regions where a skilled workforce is available at a cheaper rate along with lower tax brackets. Factors like these are some of the major challenges that are restricting the growth of the Software development market in Sweden.

Sweden Software Development Industry Outlook

Product launches, acquisitions and R&D activities are key strategies adopted by players in the Software Development Market. The top 10 Sweden Software Development companies include:

Exoft

Seeba

Ecommatrix

Innovise Group

Rite NRG

Codeblue

Source A Network AB

LoopLabz

SolveIT

Beetroot AB

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Recent Developments

In March 2022, Talenom announced the acquisition of three accounting firms in Sweden named Lindgren & Lindgren Ekonomi AB, Confido AB and Redovisningsbyrån Öckerö AB. This acquisition is set to combine Talenom’s software development with expertise in the accounting industry in a unique way and strengthen its position across Sweden.

In March 2022, Swedish startup 'My Telescope' secured $3 million for its market intelligence software.

In November 2021, Swedish telecommunications giant Ericsson snapped up US cloud-service provider Vonage in a multibillion-dollar deal which is its biggest acquisition in recent years.

For more Information and Communications Technology related reports, please click here

[daixiepython]

INT104 – Artificial Intelligence

INT104 – Artificial Intelligence Coursework 3 Introduction In this coursework, a spreadsheet has been provided to perform a set of data analysis. The spreadsheet contains the following information: the index of student, gender of student, the programme that a student is enrolled, the grade that the student is in, total marks that a student is awarded and the mark of 5 exam questions (indexed as MCQ, Q1, Q2, Q3, Q4 and Q5). The index student ranges from 1 to 619. The gender of the student is represented as “1” and “2”. The grade of the student is either “2” or “3”. The programme of the student is represented as “1”, “2”, “3” and “4”. The full mark of the whole exam paper is 100. The full mark for 5 exam questions are 54 marks (MCQ), 8 marks (Q1), 8 marks (Q2), 14 marks (Q3), 10 marks (Q4) and 6 marks (Q5) respectively. The coursework requires students to extracts features of the data and analyse the distribution of the feature with association of the programme that a student is enrolled. Tasks

Use GMM (Gaussian Mixture Model) to fit a distribution of raw features / your own features. Find a way that the GMM reflects the distribution of programme information.

Use k-means to fit a distribution of raw features / your own features. Find a way that the resulting clusters reflect the distribution of programme information.

Use hierarchical clustering to fit a INT104 代做、代写 java/c++程序语言distribution of raw features / your own features. Find a way that the resulting clusters reflect the distribution of programme information.

Compare and evaluate how the clustering clusters associate with the programme that the student comes from.

Requirement You MUST use Python to perform the dedicated tasks. Over the lab session, a Teaching Assistant (TA) will be assigned to you to support your work. When you finished your experiment, please make sure you have demonstrated your work lively (in order to make sure the experiment is designed and performed by you). However, please bear in mind that it is NOT the TA’s responsibility to teach you Python programming nor design the experiment for you. After the lab session, you should write a lab report that documents the experiment you performed, the results you obtained and the discussion that justifies your recommended way of clustering the dataset. A MATLAB script that guides the experiment has been provided separately. The student is kindly reminded that 1) implementing the provided MATLAB script with MATLAB will result a mark of zero; 2) implementing the provided MATLAB script with Python does not guarantee a high mark. Over the live demonstration, you will be asked for no more than three questions related to 1) your code, 2) the algorithm of you have used, and 3) the results you have obtained. You may also need to make minor changes to your Python script upon request and explain the corresponding results. The length of the lab report after the lab session should be no more than 3 pages in double columns (refer to IEEE format) excluding reference lists. The report could be simply titled as “lab report” but the student could also title the report in their own favourite way. The report does not need a cover page, the student should write their names under the title with student ID provided. The student should also name their assigned TA under their own names. Though literatures could be cited to support the ideas in the report, it is NOT necessary to review relevant literatures in the report hence it is absolutely no problems to cite no papers in the report. The lab report should be handed in with a single PDF file without source code attached. The use of Latex is strongly recommended. The use of ChatGPT is allowed for proofreading and brainstorming ONLY. However, copying an AI generated solution to the task will not guarantee that you could pass the coursework. It is the critical thinking, experiment design and the analysis of result that matter. You MUST fully understand your code and the experiment you have designed in this coursework.

Marking Criteria Lab report: Editorial & Language Issues (10 marks) 10 marks: no formatting problems found. 8 marks: minor language issues or minor formatting problems. 6 marks: the report is generally fine with a few language issues and formatting problems. 4 marks: the report is barely readable. 2 marks: the report is hard to read but understandable. 0 marks: the report is not understandable. Task 1, 2 and 3 (60 marks in total, each task worth 15 marks) 15 marks: scientific hypothesis has been demonstrated via the results presented. 12 marks: the results of different experiment configurations are compared and analysed. 9 marks: the results of different experiment configurations are compared with depth. 6 marks: the target of the task has been fully fulfilled. 3 marks: the target of the task has not been partially fulfilled with good attempts. 0 marks: the target of the task has not been fully fulfilled with no sensible attempts made. Live Demonstration: Answer Questions (15 marks in total, each question worth 5 marks) 5 marks: show full understanding of concepts with satisfactory answers provided. 4 marks: satisfactory answers provided. 3 marks: satisfactory answers provided with minor misunderstanding. 2 marks: the answer is barely satisfactory. 1 mark: the answer is not correct. 0 marks: the student is unable to answer the question. Code Running (15 marks) 15 marks: may implement the code in an efficient way and predict the result with good understanding of algorithms. 12 marks: may implement the code as required and discuss the result in depth.

9 marks: may implement the code with assistance and show understanding of the result. 6 marks: may implement the code with assistance in a period and show some understanding of the result. 3 marks: cannot implement the required changes with a sensible expectation of result. 0 marks: cannot understand the intention of the required changes. N.B. For cases that are not listed here, TA would match the criteria in the list and give a mark to the code running session. TA also have the right to mark suspected plagiarism and raise the case to module leader. Award Marks (capped at 100 marks in total, no individual award cap) +10 marks: demonstrate a novel scientific hypothesis in any tasks. +5 marks: present the experiment in a way that the experiment could be re-implement by others with ease. +5 marks: the report is formatted in a publishable way. Penalties: -10 marks: for improper citation -20 marks: for severe improper citation (multiple improper citation or duplication of a whole paragraph)

University academic integrity penalties apply. Good-Willing Clauses

If a student has a concern on TA’s performance during the demonstration process, the student should report their concerns / the concerned behaviour to a teacher. The teacher could provide another chance of live demonstration to the student if the concern is upheld.

To activate clause 1, any recording of audio and video will not be considered as a means of evidence unless the audio / video recording shows that the recording is authorised by a TA / teacher. A witness of demonstration process may be used to support the case.

The student should be well behaved during the lab session. Abusing, threatening and other means of offensive behaviour shall not be tolerated.

If a TA / teacher feeling that themselves being abused, threatened or offended, the TA / teacher shall report the behaviour to a teaching / another teacher to confirm a case of misbehaviour. The TA / teacher may invite a few witnesses to support the case when necessary. Only recording authorised by the student being accused could be used to support the case.

Once a case of misbehaviour is confirmed, the TA / teacher has the right to refuse demonstrating the student’s work as required by this document and any further coursework / lab sessions. In such as case, there are no alternative TAs to be assigned to the student. Consequently, the student has no demonstration marks in this and any further coursework (the lab report will be marked in a normal way). Submission

Only submissions in PDF format are accepted.

Submit your lab report via the dedicated Learning Mall coursework link before the Friday of week 13.

Please name your submission file as ID_FirstName_LastName_C3.pdf (e.g., 1234567_FirstName_Surname_C3.pdf).

Late submission policy of XJTLU applies.

weixin: codehelp