Presentation given by Jan Hanson and Martyn Thomas to the CETL-MSOR Sigma conference, detailing how the sigma funding was used to improve the mathsEG computer aided assessment website/webapp.
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention
This presentation is here to help you understand about Machine Learning, supervised Learning, Process Flow chat of Supervised Learning and 2 steps of supervised Learning.
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
(Prefer mailing. Call in emergency )
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention
This presentation is here to help you understand about Machine Learning, supervised Learning, Process Flow chat of Supervised Learning and 2 steps of supervised Learning.
ChatGPT
Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It involves applying various techniques and methods to extract insights from data sets, often with the goal of uncovering patterns, trends, relationships, or making predictions.
Here's an overview of the key steps and techniques involved in data analysis:
Data Collection: The first step in data analysis is gathering relevant data from various sources. This can include structured data from databases, spreadsheets, or surveys, as well as unstructured data such as text documents, social media posts, or sensor readings.
Data Cleaning and Preprocessing: Once the data is collected, it often needs to be cleaned and preprocessed to ensure its quality and suitability for analysis. This involves handling missing values, removing duplicates, addressing inconsistencies, and transforming data into a suitable format for analysis.
Exploratory Data Analysis (EDA): EDA involves examining and understanding the data through summary statistics, visualizations, and statistical techniques. It helps identify patterns, distributions, outliers, and potential relationships between variables. EDA also helps in formulating hypotheses and guiding further analysis.
Data Modeling and Statistical Analysis: In this step, various statistical techniques and models are applied to the data to gain deeper insights. This can include descriptive statistics, inferential statistics, hypothesis testing, regression analysis, time series analysis, clustering, classification, and more. The choice of techniques depends on the nature of the data and the research questions being addressed.
Data Visualization: Data visualization plays a crucial role in data analysis. It involves creating meaningful and visually appealing representations of data through charts, graphs, plots, and interactive dashboards. Visualizations help in communicating insights effectively and spotting trends or patterns that may be difficult to identify in raw data.
Interpretation and Conclusion: Once the analysis is performed, the findings need to be interpreted in the context of the problem or research objectives. Conclusions are drawn based on the results, and recommendations or insights are provided to stakeholders or decision-makers.
Reporting and Communication: The final step is to present the results and findings of the data analysis in a clear and concise manner. This can be in the form of reports, presentations, or interactive visualizations. Effective communication of the analysis results is crucial for stakeholders to understand and make informed decisions based on the insights gained.
Data analysis is widely used in various fields, including business, finance, marketing, healthcare, social sciences, and more. It plays a crucial role in extracting value from data, supporting evidence-based decision-making, and driving actionable insig
This presentation briefs about International Collegiate Programming Contest(ICPC) which is organized by ACM and sponsored by IBM.
This is delivered at VB Siddardha Colleges, Vijayawada on 10th Mar 2015. Somehow Indian participation is not attractive. I am encouraging Indian students to participate in this competition by delivering lectures like this.
WMJ&GMBwosc08-Effective Learning & Production Via ModellingGary Boyd
How to analyse a project venture and How to use a better universal modelling notation technology (j-Maps, CONTEXT+(tm) )for software and system development, troubleshooting and translation to other computer and or natural languages
CSE 110 - ASSIGNMENT # 4 – Fall 2015 Due Tuesday Octobe.docxfaithxdunce63732
CSE 110 - ASSIGNMENT # 4 – Fall 2015
Due: Tuesday October 6 by 10:00AM Maximum Points: 20 pts
Topics
• Loops (Chapter 4)
Note: Your programming assignments require individual work and effort to be of any
benefit. Every student must work independently on his or her assignments. This means that every
student must ensure that neither a soft copy nor a hard copy of their work gets into the hands of
another student. Sharing your assignments with others in any way is NOT permitted.
Violations of the University Academic Integrity policy will not be ignored. The university academic
integrity policy is found at http://www.asu.edu/studentaffairs/studentlife/judicial/academic_integrity.htm
Use the following Guidelines:
• Give identifiers semantic meaning and make them easy to read (examples numStudents,
grossPay, etc).
• Keep identifiers to a reasonably short length.
• User upper case for constants. Use title case (first letter is upper case) for classes. Use lower
case with uppercase word separators for all other identifiers (variables, methods, objects).
• Use tabs or spaces to indent code within blocks (code surrounded by braces). This includes
classes, methods, and code associated with ifs, switches and loops. Be consistent with the
number of spaces or tabs that you use to indent.
• Use white space to make your program more readable.
• Reasonably good amount of comments should be added in your program so that it is easy
for other people to understand it. Please see the comment style in the textbook.
Important Note:
All submitted assignments must begin with the descriptive comment block. To avoid losing trivial
points, make sure this comment header is included in every assignment you submit, and that it is
updated accordingly from assignment to assignment. (If not, -1 Pt)
//***********************************************************
// Name: your name
// Title: title of the source file
// Author: (if not you, put the name of author here)
// Description: Write the description in your words.
// Time spent: how long it took you to complete the assignment
// Date: the date you programmed
//**********************************************************
http://www.asu.edu/studentaffairs/studentlife/judicial/academic_integrity.htm
http://www.eas.asu.edu/%7Ecsedept/
Part 1: Writing Exercise: (5 pts)
The following are the exercises about the loops in Java. Write the answers in a comment block
before the code of Part2.
a. What are the three required expressions of a for-loop? (1 pts)
b. Consider the following code. This code was written to generate the output as shown in
Output 2. However, there is an error in this code. Correct the code so that it is able to
generate the desired output. (2 pts)
int count = 0;
while (count < 10)
{
System.out.println("count:" + count);
}
Output 2
count:0
count:1
count:2
count:3
.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
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
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.
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.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
1. CAA for adult numeracy
and algorithms
Martyn Thomas (Maths) &
and Jan Hanson (Computing)
Brunel University
2. Sigma project
• To develop questions on
proportionality within adult settings
e.g. employability aptitude tests,
money, pay, tax, reading charts and
graphs.
• Mostly straightforward numerical
input questions with randoms and full
feedback
• Very boring(!) but there is a huge
need, especially for maths phobic
4. From an actual aptitude test but original was wrong – that
author never played tennis!
Games/Sets/Matches
are partially
randomised
consistent with the
rules of tennis –
quite complicated to
code in fact!
Surface effects
- towns,
- given names (ethnic balance
- gender (balanced M/F)
- game/sets/match randomised
Accessibility
font sizes &
colours under
user’s control
5. Feedback has dire warnings
about borrowing on credit cards!
Reading a table
and synthesising
information
6. Lots of randoms here including stated grade and dynamic
diagrams via SVG
7. And now for something
more interesting (Brunel-
funded matching projects)!
8. 1) Developing the maths
e.g. database
• Removing applet call so it will work on
mobile devices (phones and tablets)
• Extending the content
• Devising a protocol for question
inclusion/modification.
• Migrating to Local Server.
• Bug testing and reporting
• To be launched on an unsuspecting World
soon
maths e.g. is available for students at:
http://www.mathcentre.ac.uk:8081/mathseg/
and the teacher interface:
http://www.mathcentre.ac.uk:8081/mathsegteacher/
allows you to create your own tests (for free!)
9. 2) Testing Algorithms
• Level 2 maths and computing
students (also engineers and MSc
level)
• Asymptotic order & operations
count
• Basic, clustering, fitness, heuristic,
packing, searching, sorting, TSP
algorithms
• Pseudocode
• Note: this is not about programming as such –
other questions test different languages (VB
10. Randomly-chosen algorithm
Options to select from
Detailed explanation
More feedback adds counts and operations count for given n or
as ORDER asked for here
11. Communication with marking scheme is difficult for free-form
Input, so here students are asked to order some pseudocode
(not all of which is needed).
12. Randomly chosen common algorithm with words that can
apply to all Tests students ability to distinguish between
various algorithms.
13. To be launched on an
unsuspecting students soon
and evaluated … watch this
space!