This document provides information about the ECSE-4790 Microprocessor Systems course. It summarizes the course goals, projects, prerequisites, references, topics, grading, policies, and important dates. The course aims to provide hands-on experience with microprocessor systems through exploratory lab exercises and a final design project. Students work in teams of two on six lab exercises using microcontrollers like the C8051F120. Grades are based on lab reports and the final project. The document outlines the software, hardware, and development tools available in the course.
Machine Learning in Software EngineeringAlaa Hamouda
Software is nowadays a critical component of our lives and everyday-work working activities. However, as the technological infrastructure of the modern world evolves a great challenge arises for developing high quality software systems with increasing size and complexity. Software engineers and researchers are striving to meet this challenge by developing and implementing software engineering methodologies able to deliver software products of high quality, within budget and time constraints. The field of machine learning in software engineering has recently emerged to provide means for addressing, studying, analyzing, and understanding critical software development issues and at the same time to offer mature machine learning techniques such as artificial neural network, Bayesian networks, decision trees, fuzzy logic, genetic algorithms, and rule induction. Machine learning algorithms have proven to be of great practical value to software engineering. Not surprisingly, the field of software engineering turns out to be a fertile ground where many software development tasks could be formulated as learning problems and approached in terms of learning algorithms. In this paper, we first take a look at the characteristics and applicability of some frequently utilized machine learning algorithms. We then present the application of machine learning in the different phases of software engineering that include project planning, requirements analysis, design, implementation, testing and maintenance.
This is a review presentation of a research paper on machine learning. The importance of ML applications for software engineering have been discussed in this paper.
Unit testing is often automated but it can also be done manually. Debugging is a process of line by line execution of the code/ script with the intent of finding errors/ fixing the defects.
This is the presentation used during the session "Lessons Learned in Software Quality 1" conducted in Amman, PSUT (15, Dec, 2010). Presented by Belal Raslan (Director at Quality Partners) & Rayya Abu Ghosh (Quality Manager at Yahoo! Middle east).
Machine Learning in Software EngineeringAlaa Hamouda
Software is nowadays a critical component of our lives and everyday-work working activities. However, as the technological infrastructure of the modern world evolves a great challenge arises for developing high quality software systems with increasing size and complexity. Software engineers and researchers are striving to meet this challenge by developing and implementing software engineering methodologies able to deliver software products of high quality, within budget and time constraints. The field of machine learning in software engineering has recently emerged to provide means for addressing, studying, analyzing, and understanding critical software development issues and at the same time to offer mature machine learning techniques such as artificial neural network, Bayesian networks, decision trees, fuzzy logic, genetic algorithms, and rule induction. Machine learning algorithms have proven to be of great practical value to software engineering. Not surprisingly, the field of software engineering turns out to be a fertile ground where many software development tasks could be formulated as learning problems and approached in terms of learning algorithms. In this paper, we first take a look at the characteristics and applicability of some frequently utilized machine learning algorithms. We then present the application of machine learning in the different phases of software engineering that include project planning, requirements analysis, design, implementation, testing and maintenance.
This is a review presentation of a research paper on machine learning. The importance of ML applications for software engineering have been discussed in this paper.
Unit testing is often automated but it can also be done manually. Debugging is a process of line by line execution of the code/ script with the intent of finding errors/ fixing the defects.
This is the presentation used during the session "Lessons Learned in Software Quality 1" conducted in Amman, PSUT (15, Dec, 2010). Presented by Belal Raslan (Director at Quality Partners) & Rayya Abu Ghosh (Quality Manager at Yahoo! Middle east).
This ppt is done by my dear classmate Sap, almost each ppt I have uploaded is copied from net and other sources.I hope this will b a little useful for students..
This training program is designed for fresh graduates or student in their final semester. This is a 6 month internship program for IT and Finance students
Where does a Software Tester fit in the Software Development Life Cycle? What are the responsibilities of a Software Tester? What are the competencies of a Software Tester?
The following resources come from the 2009/10 BEng in Electrical Engineering (course number 2ELE0066) from the University of Hertfordshire. All the mini projects are designed as level two modules of the undergraduate programmes.
The objectives of this module are to demonstrate within an industrial environment:
• To use Matlab® (Simulink®)
• To implement an appropriate analogue computer for modelling dynamic systems.
A DC motor model, in specific prototyping stages, is more appropriate to use than the actual DC motor. This project aimed to design and implement a DC motor model by using a simulation package (CAD) such as Matlab and implement the equivalent electronic hardware platform.
FlorenceAI: Reinventing Data Science at HumanaDatabricks
Humana strives to help the communities we serve and our individual members achieve their best health – no small task in the past year! We had the opportunity to rethink our existing operations and reimagine what a collaborative ML platform for hundreds of data scientists might look like. The primary goal of our ML Platform, named FlorenceAI, is to automate and accelerate the delivery lifecycle of data science solutions at scale. In this presentation, we will walk through an end-to-end example of how to build a model at scale on FlorenceAI and deploy it to production. Tools highlighted include Azure Databricks, MLFlow, AppInsights, and Azure Data Factory.
We will employ slides, notebooks and code snippets covering problem framing and design, initial feature selection, model design and experimentation, and a framework of centralized production code to streamline implementation. Hundreds of data scientists now use our feature store that has tens of thousands of features refreshed in daily and monthly cadences across several years of historical data. We already have dozens of models in production and also daily provide fresh insights for our Enterprise Clinical Operating Model. Each day, billions of rows of data are generated to give us timely information.
We already have examples of teams operating orders of magnitude faster and at a scale not within reach using fixed on-premise resources. Given rapid adoption from a dozen pilot users to over 100 MAU in the first 5 months, we will also share some anecodotes about key early wins created by the platform. We want FlorenceAI to enable Humana’s data scientists to focus their efforts where they add the most value so we can continue to deliver high-quality solutions that remain fresh, relevant and fair in an ever changing world.
This Is OEMS, Online Exam Management System. OEMS Help to give Exam Online. It's Helpful to Student on Teacher Also. It helps to complete Exam sort time. This Project Submitted By Md. Galib Hossain. Founder BdEngineers.
This ppt is done by my dear classmate Sap, almost each ppt I have uploaded is copied from net and other sources.I hope this will b a little useful for students..
This training program is designed for fresh graduates or student in their final semester. This is a 6 month internship program for IT and Finance students
Where does a Software Tester fit in the Software Development Life Cycle? What are the responsibilities of a Software Tester? What are the competencies of a Software Tester?
The following resources come from the 2009/10 BEng in Electrical Engineering (course number 2ELE0066) from the University of Hertfordshire. All the mini projects are designed as level two modules of the undergraduate programmes.
The objectives of this module are to demonstrate within an industrial environment:
• To use Matlab® (Simulink®)
• To implement an appropriate analogue computer for modelling dynamic systems.
A DC motor model, in specific prototyping stages, is more appropriate to use than the actual DC motor. This project aimed to design and implement a DC motor model by using a simulation package (CAD) such as Matlab and implement the equivalent electronic hardware platform.
FlorenceAI: Reinventing Data Science at HumanaDatabricks
Humana strives to help the communities we serve and our individual members achieve their best health – no small task in the past year! We had the opportunity to rethink our existing operations and reimagine what a collaborative ML platform for hundreds of data scientists might look like. The primary goal of our ML Platform, named FlorenceAI, is to automate and accelerate the delivery lifecycle of data science solutions at scale. In this presentation, we will walk through an end-to-end example of how to build a model at scale on FlorenceAI and deploy it to production. Tools highlighted include Azure Databricks, MLFlow, AppInsights, and Azure Data Factory.
We will employ slides, notebooks and code snippets covering problem framing and design, initial feature selection, model design and experimentation, and a framework of centralized production code to streamline implementation. Hundreds of data scientists now use our feature store that has tens of thousands of features refreshed in daily and monthly cadences across several years of historical data. We already have dozens of models in production and also daily provide fresh insights for our Enterprise Clinical Operating Model. Each day, billions of rows of data are generated to give us timely information.
We already have examples of teams operating orders of magnitude faster and at a scale not within reach using fixed on-premise resources. Given rapid adoption from a dozen pilot users to over 100 MAU in the first 5 months, we will also share some anecodotes about key early wins created by the platform. We want FlorenceAI to enable Humana’s data scientists to focus their efforts where they add the most value so we can continue to deliver high-quality solutions that remain fresh, relevant and fair in an ever changing world.
This Is OEMS, Online Exam Management System. OEMS Help to give Exam Online. It's Helpful to Student on Teacher Also. It helps to complete Exam sort time. This Project Submitted By Md. Galib Hossain. Founder BdEngineers.
Software_effort_estimation for Software engineering.pdfsnehan789
calculating software effort estimation for subjects like software engineering and software project management all according to your college preference on the subject
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
3. 3
Catalog Description
Hardware and software for real-time microprocessor based
digital systems. Basic concepts and operations of on-chip
components related to digital system functionality.
Architectures, instructions sets, and interfacing with
peripherals through serial or parallel ports. Introduction to
16- and 32-bit machines with in-depth treatment of 8-bit
machines. Emphasis on C language cross-compilers.
Laboratory exercises are included to demonstrate hardware
and software development techniques practiced in industry.
Weekly laboratory exercises in programming
microprocessors and a final exercise design enhancement
are required.
4. 4
Course Goal
Goal
To provide fourth year ECSE students with a hands-
on laboratory experience with more advanced
features of state-of-the-art microprocessor systems
Means
Exploratory laboratory exercises for the
microcontroller (fixed procedures plus small student
enhancements)
An extended design augmentation is part of the final
exercise
5. 5
Course Project Objective
Objective
A culminating experience applying much
mathematics, science, and engineering from
previous terms
Provide an environment where students develop
skills necessary to complete the projects without
structured instruction
Required Component
Analysis and Reports documenting exercises &
enhancements
Must be completed by due dates
6. 6
Course Prerequisites
Prerequisites by topic
Fundamentals of logic design
Fundamentals of circuit design
Computer programming
Computer instruction sets
Microcontroller operations
Peripheral operations and control of external
hardware
7. 7
References
Books
Many references are available, but none are
required for the class
Gene H. Miller, Microcomputer Engineering, Second
Edition, Prentice Hall, Englewood Cliffs, NJ 1998.
(First Edition is fine.)
Alan Clements, Microprocessor Systems Design,
PWS Publishing Company, Boston, MA, 1992.
(Covers the 68000 family)
Online (www.ecse.rpi.edu/Courses/CStudio)
Most important reference (free download)
C8051F120 Technical Summary (Rev. 1.4)
8. 8
MPS is an RPILMS
Course
https://lms.rpi.edu/
Log in
Pick ‘XXXX_Microprocessor Systems
[XXXX_ECSE_4790_01]’
(alternative access to most information at
http://www.rpi.edu/dept/ecse/mps)
Class handouts are here plus several reference
manuals
11. 11
Microcontrollers Available
C8051F120 — 8 bit machine introduced about 2002
C8051F040 — 8 bit machine introduced about 2000
MC6811 — 8 bit machine introduced about 1985
MC6812 — 16 bit machine introduced late 1997
MC68332 — 32 bit machine introduced about 1990
13. 13
Typical Topics
Introduction to the C8051F120 microcontroller
(information available on the MC6811, MC6812 & MC68332
microcontrollers if desired)
Software development techniques
Hardware development techniques
ANSI Terminal features and simple graphics
Timers & Interrupt programming
Synchronous & Asynchronous serial communication
Interfacing memory to the microprocessor bus
Analog conversion
Controller Area Network control
14. 14
Grade Computation
Grades are assigned based on both team
and individual effort
Teams of 2 (due dates subject change, check WebCT
calendar)
67% Six C8051 exercises (NOT uniformly weighted)
33% Post-project and general course clean up, final
project, mini-quizzes, TA evaluation of student lab
preparation, performance & participation
15. 15
What This Means to You
You get a chance to learn what you need to know
to select and apply microcontrollers to applications
of your own choosing
Specific tools you will be using
IDE (Integrated Development Environment)
C cross-compilers
Debuggers
Simulators
Logic Analyzers
16. 16
Next Steps
Reprise the C8051F020 knowledge
Do things that you formerly did in Embedded
Control
Host input/output
Interrupts
Hardware interfacing
etc.
Follow up action items required of you
Make a list of things you need to know about a new
microcontroller to be able to understand their
functionality and use all the built-in peripherals
efficiently & effectively.
17. 17
Class Requirements
Writing Center
MPS requires written reports for each lab
exercise. You are expected to write well-
organized reports and will be graded on style as
well as content.
Use the Writing Center resources to improve
your reports
All software MUST be well documented in the
program listing
18. 18
Lab Policies
Lab experiment work (other than project) must be done in
teams of only two students
Attendance will be taken and will count toward your
performance grade
Unfair to partner when you don’t show up
Students with missing partners may team up for experiments
Academic Integrity: collaboration is encouraged but
outright copying of other’s work is unacceptable
To get the highest grade on a lab exercise, something
unique beyond the required tasks must be accomplished
and demonstrated as an enhancement to each exercise
[Final design augmentation may be done in teams of 4
students, if the group desires to tackle a more ambitious
effort]
19. 19
Lab Policies (cont.)
Lab reports are due by the posted due date. A penalty of 5
points per day late will be assessed.
New labs build on the results of previous labs. Once a
program works for a given exercise, save it and archive it.
Use a copy to begin a new exercise. When things stop
working you will be able to go back to a known good
program and determine if the problem is in the hardware or
software.
Creating a new project file (.wsp) for each program is highly
recommended. This keeps track of all .c and .h files used in
a build.
Make sure you explain and demonstrate any
enhancements to the TA during check-off.
20. 20
Important Dates
Since there have been several semesters with the new format, the
experiment schedule will be fairly rigid
There will be a schedule posted on the web for when exercises should be
in progress and when reports are due. and Nov. 16 (sec. 2)
All Reports due Mon., Dec. 9 in my office (JEC-6028) at 4:00 PM
Note: dates may be subject to change; check the course LMS calendar for the latest
information.