Using The Master Genealogist ― AdvancedTeresa Pask
This document provides an advanced tutorial on using The Master Genealogist genealogy software. It covers topics like the data set manager, accents, focus groups, custom flags, advanced report options, and designing report filters. It also discusses how to create sources and repositories, custom roles, witnesses, sentence structure, source templates, and exporting data. Finally, it introduces companion products like Second Site for generating websites and TMG Utility for modifying databases.
This talk explores some of the properties of the columnar transposition cipher, a classical encryption technique that uses a rectangular grid structure to shuffle the characters of the plaintext. This means that the columnar transposition cipher is a permutation, and the group theoretic structure of the cipher admits some interesting features.
Teaching and learning in the inverted classroomRobert Talbert
Slides from a presentation for a faculty workshop at Lindsey Wilson College, 14 August 2013.
The inverted or "flipped" classroom is a way to design classes so that students have all the time they need in class to engage with the most challenging material *and* get the help they need at the same time. This presentation breaks down the issues with the traditional classroom model, explains what's involved with the inverted classroom, goes through two case studies, and gives some ideas for best practices.
Using The Master Genealogist ― AdvancedTeresa Pask
This document provides an advanced tutorial on using The Master Genealogist genealogy software. It covers topics like the data set manager, accents, focus groups, custom flags, advanced report options, and designing report filters. It also discusses how to create sources and repositories, custom roles, witnesses, sentence structure, source templates, and exporting data. Finally, it introduces companion products like Second Site for generating websites and TMG Utility for modifying databases.
This talk explores some of the properties of the columnar transposition cipher, a classical encryption technique that uses a rectangular grid structure to shuffle the characters of the plaintext. This means that the columnar transposition cipher is a permutation, and the group theoretic structure of the cipher admits some interesting features.
Teaching and learning in the inverted classroomRobert Talbert
Slides from a presentation for a faculty workshop at Lindsey Wilson College, 14 August 2013.
The inverted or "flipped" classroom is a way to design classes so that students have all the time they need in class to engage with the most challenging material *and* get the help they need at the same time. This presentation breaks down the issues with the traditional classroom model, explains what's involved with the inverted classroom, goes through two case studies, and gives some ideas for best practices.
Changes to Mathematics Programs at Franklin CollegeRobert Talbert
Presentation detailing the new, improved mathematics offerings at Franklin College.
A 32-minute movie of this presentation is available at http://blip.tv/file/1748299/ .
The inverted classroom and peer instruction: designing classes for meaningful...Robert Talbert
(Keynote presentation given at the annual conference of the Michigan Mathematical Association of Two-Year Colleges, Detroit, MI on October 5, 2013.)
The way we traditionally design college classes -- with lecture front and center in class and homework outside of class -- suffers from two serious flaws: There is no natural way to find and repair student misconceptions by the end of class, and students' access to expert help is inversely proportional to their need for help. The inverted or "flipped" classroom is a solution to those design flaws. In this presentation we discuss flipped course design, best practices for designing a flipped lesson, and lessons learned from flipping.
Examining the cycle structure and order of columnar transposition ciphers as elements of the symmetric group on L elements (L = length of message). Talk given at Ball State University Faculty Mathematics Colloquium, 2 April 2009.
This presentation will be given to the Guild of One-Name Studies (GOONS) at the Guild Computer Seminar in Epsom, Surrey, England on August 7, 2010
This session covers the basics of using TMG including setting up options, entering data, linking families, project explorer / picklists, finding, searching and sorting. Additionally it will show how to create narratives, and family trees. The tutorial also includes how to use the companion tool Second Site to publish your TMG data in HTML format to include on the web, or share your data with family members on custom CDs.
This tutorial was given at the Society of Genealogists on 1 August 2008. It covered the basics of getting started with The Master Genealogist (TMG), including setting up options, entering data, linking families, project explorer / picklists, finding, searching and sorting. Additionally more complex scenarios is covered, including importing and exporting data, and changing or customising narrative sentences. Also the tutorial includes how to use the companion tool Second Site to publish your TMG data in HTML format to include it on the Web, or share your data with family members on custom CDs.
Version 5 of this popular presentation, relates to five ways to publish your family history. Whilst it is a variation on the theme, it includes up-to-date images.
This presentation was given at the Guild of One-Name Studies (GOONS) Hampshire Regional Meeting at the Hampshire Records Office, Winchester, Hampshire, England on Saturday September 20, 2014.
The synposis reads:
If you can e-mail, or upload files then you have enough knowledge and experience to publish your family history. The presentation focuses on five easy alternatives. The hardest part is deciding what method you are going to use!
The majority of us use the internet for searching, and exchanging information mainly by e-mail. If you have virtual presence the likelihood of others finding you increases significantly.
Please note, this presentation does not include programming, web design, or setting up a website. However, you do not need these skills to publish your family history.
Learning matlab in the inverted classroom Robert Talbert
A look at a use of the inverted classroom model to teach introductory scientific programming to freshmen using MATLAB. (Talk delivered to the Computers in Education Division, American Society for Engineering Education conference, 13 June 2012, San Antonio, TX USA.)
Inverting the classroom, improving student learningRobert Talbert
The traditional classroom model has the transmission of information done in the class and the assimilation of that info done outside the class. But does that make sense? Shouldn't the instructor be the most available to the students when they are working on the hardest tasks? The inverted classroom model says "yes", and puts the lecture outside the class while freeing up time in class to be spent on hard, authentic problems to solve. This talk is all about this inverted model.
Slides from an online presentation given to teachers in the Enhancing Education Through Technology group under the auspices of Erie 1 BOCES. April, 2009.
SMIU Lecture #1 & 2 Introduction to Discrete Structure and Truth Table.pdfMuhammadUmerIhtisham
This document provides an introduction to the Discrete Structures course MAT-104. It includes the course objectives, which are to introduce topics like logic, set theory, functions, and graph theory. Active learning strategies like assignments and projects will be used. The course will be evaluated through quizzes, assignments, presentations, and a midterm and final exam. Policies around attendance and plagiarism are also outlined.
The document discusses assessing computational thinking (CT). It defines CT as using skills like abstraction, decomposition, algorithm design, and generalization to solve problems. CT is important for 21st century skills and jobs. The document outlines how CT can be assessed through coding tasks, problem formulation depth, and system design precision and efficiency. It notes that while CT uses computing, it can be done without computers. Overall, the document argues that CT fosters systematic thinking and is an important skill that can be taught and assessed.
This document provides an introduction to a computer science course. It outlines the course topics which include an overview of computer science, Java programming review, classes and inheritance, generics, program analysis, and data structures. It also discusses the goals of the course which are to teach both programming skills and computer science concepts. The document provides context around what computer science entails as a field of study and how it incorporates aspects of mathematics, engineering, and science.
This document discusses the author's views on improving the teaching of mathematics to engineering students. The author observes that current students have poor mathematical understanding and problem-solving abilities. He believes teaching should use more real-world engineering examples to help students relate mathematics to their field. The author also provides several potential live examples from areas like image processing, coding, and biomechanics that could help elucidate mathematical concepts for students. Overall, the document focuses on how to enhance mathematics education for engineers by incorporating practical applications.
The document describes an integrated math program called Classteacher Math Program that uses various tools and methods to teach math. It includes a math lab, online modules, skill assessments, and technology-based and activity-based learning. It also describes specific programs and tools within the program like Trinity Maths, Autograph, and Math iPerform. The goal is to maximize learning through interactive and adaptive tools that engage students and address different learning needs and styles.
Tinker Education is a STEM curriculum-based program designed by Emcast, South Korean Education Technology Company.
At our Nairobi (Kenya) learning centre kids explore computer science skills through programming & physical computing activities to maximize student's critical thinking and 21st century skills.
Visit www.tinkeredu.net to learn more.
Discrete mathematics is the study of mathematical structures that are discrete rather than continuous. It has many applications in computer science, as computers use discrete structures to represent and manipulate data. Some key topics in discrete mathematics include logic and proofs, number theory, counting, and graph theory. These topics help with problem solving, algorithms, data structures, cryptography, and the design of efficient computer systems and networks. Examples of problems solved with discrete mathematics include the fastest sorting algorithms, map coloring, efficient data transmission, electronic health records, and Google Maps routing.
Introduction to Mathematics is an exploration into the fascinating world of numbers and patterns. It serves as a fundamental stepping stone for understanding the language of the universe. This topic delves into the origins of mathematics, its fundamental concepts, problem-solving strategies, and practical applications in various fields. From arithmetic operations to algebra, geometry to trigonometry, mathematics provides the tools to solve complex problems and make informed decisions. With its blend of logic and creativity,
Symbolic Background Knowledge for Machine LearningSteffen Staab
Machine learning aims at learning complex functions from data. Very often, this challenge remains ill-defined given the available amount of data, however, background knowledge that is available as knowledge graphs, ontologies or symbolic (physical) equations allows for an improved specification of the targeted solution. In this talk, we want to discuss several use cases that include symbolic background knowledge as regularizing priors, as constraints or as other inductive biases into machine learning tasks.
This document summarizes a presentation on applied machine learning. It discusses using machine learning techniques like support vector machines (SVMs) and kernels to solve problems like spam classification, natural vs plastic apple detection, handwritten digit recognition, drug discovery, and gene finding. It provides examples of applications like analyzing source code and binary files, distinguishing Linux from OpenBSD, and detecting splice sites in genomic DNA. It also discusses ongoing research areas and capabilities of current machine learning techniques. Finally, it briefly outlines work using machine learning for brain-computer interfacing applications like solving the cocktail party problem using independent component analysis.
Changes to Mathematics Programs at Franklin CollegeRobert Talbert
Presentation detailing the new, improved mathematics offerings at Franklin College.
A 32-minute movie of this presentation is available at http://blip.tv/file/1748299/ .
The inverted classroom and peer instruction: designing classes for meaningful...Robert Talbert
(Keynote presentation given at the annual conference of the Michigan Mathematical Association of Two-Year Colleges, Detroit, MI on October 5, 2013.)
The way we traditionally design college classes -- with lecture front and center in class and homework outside of class -- suffers from two serious flaws: There is no natural way to find and repair student misconceptions by the end of class, and students' access to expert help is inversely proportional to their need for help. The inverted or "flipped" classroom is a solution to those design flaws. In this presentation we discuss flipped course design, best practices for designing a flipped lesson, and lessons learned from flipping.
Examining the cycle structure and order of columnar transposition ciphers as elements of the symmetric group on L elements (L = length of message). Talk given at Ball State University Faculty Mathematics Colloquium, 2 April 2009.
This presentation will be given to the Guild of One-Name Studies (GOONS) at the Guild Computer Seminar in Epsom, Surrey, England on August 7, 2010
This session covers the basics of using TMG including setting up options, entering data, linking families, project explorer / picklists, finding, searching and sorting. Additionally it will show how to create narratives, and family trees. The tutorial also includes how to use the companion tool Second Site to publish your TMG data in HTML format to include on the web, or share your data with family members on custom CDs.
This tutorial was given at the Society of Genealogists on 1 August 2008. It covered the basics of getting started with The Master Genealogist (TMG), including setting up options, entering data, linking families, project explorer / picklists, finding, searching and sorting. Additionally more complex scenarios is covered, including importing and exporting data, and changing or customising narrative sentences. Also the tutorial includes how to use the companion tool Second Site to publish your TMG data in HTML format to include it on the Web, or share your data with family members on custom CDs.
Version 5 of this popular presentation, relates to five ways to publish your family history. Whilst it is a variation on the theme, it includes up-to-date images.
This presentation was given at the Guild of One-Name Studies (GOONS) Hampshire Regional Meeting at the Hampshire Records Office, Winchester, Hampshire, England on Saturday September 20, 2014.
The synposis reads:
If you can e-mail, or upload files then you have enough knowledge and experience to publish your family history. The presentation focuses on five easy alternatives. The hardest part is deciding what method you are going to use!
The majority of us use the internet for searching, and exchanging information mainly by e-mail. If you have virtual presence the likelihood of others finding you increases significantly.
Please note, this presentation does not include programming, web design, or setting up a website. However, you do not need these skills to publish your family history.
Learning matlab in the inverted classroom Robert Talbert
A look at a use of the inverted classroom model to teach introductory scientific programming to freshmen using MATLAB. (Talk delivered to the Computers in Education Division, American Society for Engineering Education conference, 13 June 2012, San Antonio, TX USA.)
Inverting the classroom, improving student learningRobert Talbert
The traditional classroom model has the transmission of information done in the class and the assimilation of that info done outside the class. But does that make sense? Shouldn't the instructor be the most available to the students when they are working on the hardest tasks? The inverted classroom model says "yes", and puts the lecture outside the class while freeing up time in class to be spent on hard, authentic problems to solve. This talk is all about this inverted model.
Slides from an online presentation given to teachers in the Enhancing Education Through Technology group under the auspices of Erie 1 BOCES. April, 2009.
SMIU Lecture #1 & 2 Introduction to Discrete Structure and Truth Table.pdfMuhammadUmerIhtisham
This document provides an introduction to the Discrete Structures course MAT-104. It includes the course objectives, which are to introduce topics like logic, set theory, functions, and graph theory. Active learning strategies like assignments and projects will be used. The course will be evaluated through quizzes, assignments, presentations, and a midterm and final exam. Policies around attendance and plagiarism are also outlined.
The document discusses assessing computational thinking (CT). It defines CT as using skills like abstraction, decomposition, algorithm design, and generalization to solve problems. CT is important for 21st century skills and jobs. The document outlines how CT can be assessed through coding tasks, problem formulation depth, and system design precision and efficiency. It notes that while CT uses computing, it can be done without computers. Overall, the document argues that CT fosters systematic thinking and is an important skill that can be taught and assessed.
This document provides an introduction to a computer science course. It outlines the course topics which include an overview of computer science, Java programming review, classes and inheritance, generics, program analysis, and data structures. It also discusses the goals of the course which are to teach both programming skills and computer science concepts. The document provides context around what computer science entails as a field of study and how it incorporates aspects of mathematics, engineering, and science.
This document discusses the author's views on improving the teaching of mathematics to engineering students. The author observes that current students have poor mathematical understanding and problem-solving abilities. He believes teaching should use more real-world engineering examples to help students relate mathematics to their field. The author also provides several potential live examples from areas like image processing, coding, and biomechanics that could help elucidate mathematical concepts for students. Overall, the document focuses on how to enhance mathematics education for engineers by incorporating practical applications.
The document describes an integrated math program called Classteacher Math Program that uses various tools and methods to teach math. It includes a math lab, online modules, skill assessments, and technology-based and activity-based learning. It also describes specific programs and tools within the program like Trinity Maths, Autograph, and Math iPerform. The goal is to maximize learning through interactive and adaptive tools that engage students and address different learning needs and styles.
Tinker Education is a STEM curriculum-based program designed by Emcast, South Korean Education Technology Company.
At our Nairobi (Kenya) learning centre kids explore computer science skills through programming & physical computing activities to maximize student's critical thinking and 21st century skills.
Visit www.tinkeredu.net to learn more.
Discrete mathematics is the study of mathematical structures that are discrete rather than continuous. It has many applications in computer science, as computers use discrete structures to represent and manipulate data. Some key topics in discrete mathematics include logic and proofs, number theory, counting, and graph theory. These topics help with problem solving, algorithms, data structures, cryptography, and the design of efficient computer systems and networks. Examples of problems solved with discrete mathematics include the fastest sorting algorithms, map coloring, efficient data transmission, electronic health records, and Google Maps routing.
Introduction to Mathematics is an exploration into the fascinating world of numbers and patterns. It serves as a fundamental stepping stone for understanding the language of the universe. This topic delves into the origins of mathematics, its fundamental concepts, problem-solving strategies, and practical applications in various fields. From arithmetic operations to algebra, geometry to trigonometry, mathematics provides the tools to solve complex problems and make informed decisions. With its blend of logic and creativity,
Symbolic Background Knowledge for Machine LearningSteffen Staab
Machine learning aims at learning complex functions from data. Very often, this challenge remains ill-defined given the available amount of data, however, background knowledge that is available as knowledge graphs, ontologies or symbolic (physical) equations allows for an improved specification of the targeted solution. In this talk, we want to discuss several use cases that include symbolic background knowledge as regularizing priors, as constraints or as other inductive biases into machine learning tasks.
This document summarizes a presentation on applied machine learning. It discusses using machine learning techniques like support vector machines (SVMs) and kernels to solve problems like spam classification, natural vs plastic apple detection, handwritten digit recognition, drug discovery, and gene finding. It provides examples of applications like analyzing source code and binary files, distinguishing Linux from OpenBSD, and detecting splice sites in genomic DNA. It also discusses ongoing research areas and capabilities of current machine learning techniques. Finally, it briefly outlines work using machine learning for brain-computer interfacing applications like solving the cocktail party problem using independent component analysis.
This document discusses the integration of technology and manipulatives in mathematics teaching. It outlines topics like virtual manipulatives, dynamic geometry software, computer algebra systems, and other technologies. Virtual manipulatives allow students to interact with visual representations of dynamic objects to build mathematical understanding. Effective use requires teachers to understand representations and lesson structure. Sample websites for virtual manipulatives on measurement, conversions, and volume are provided. Integrating technology can keep students engaged by empowering them in today's technological world.
The information in these slides was presented on February 13, 2018 during PETE&C 2018 in Hershey, PA by Louise Maine, K12 team member for The Source for Learning, Inc.
The current trend is to focus on STEM and Coding. However, focusing on Digital Age Problem Solving in all content areas instead requires students to think critically, systematically, and logically to become digital problem solvers. Learn about Design Thinking, Data Literacy, and Computational Thinking and find ways to use in any classroom.
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Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
Presentation for WCHS dual-enrollment students
1. Who am I, and why
am I here?
Robert Talbert, PhD
WCHS student visit
24 September 2008
2. What do I do here?
• Associate Professor of
Mathematics and Computing
Science
• Came to FC in 2001
• Director of 3:2 dual degree
program in engineering with
Purdue University (IUPUI)
• Chair of Promotion and
Tenure Committee
• Working with Math/
Computing Club to create Pi
Mu Epsilon chapter
3. Bachelor’s degree in Master’s degree in
Mathematics (1992) Mathematics (1994)
(Started as psychology Ph.D. in Mathematics
major) (1997)
7. What cryptology involves
ABSTRACT ALGEBRA
Groups; rings; fields; polynomials over finite
field; permutation groups
NUMBER THEORY
Prime numbers; factorization techniques; elliptic
curves; discrete logarithms
CRYPTOLOGY
PROBABILITY
Information theory; mathematical entropy;
statistical attacks on ciphers
COMPUTER SCIENCE
Analysis of algorithms; computational
complexity; writing efficient code for algorithms
8. Math questions I’m interested in
Are there efficient ways to break
block ciphers, or strengthen
them against breaking?
How can elliptic curves be used
to create strong and fast
ciphers? How can we break
such ciphers?
9. What I teach
• Quantitative Reasoning
• Calculus Preparation
• Calculus I, II
• Methods of Problem Solving
• Linear Algebra
• Topics in Geometry
• Modern Algebra
• Occasional topics courses
• Interdisciplinary courses
10. Teaching stuff I am
interested in
• Web 2.0 technology in college
math instruction: wikis, blogs,
microblogging, social networks
• Integrating computer
programming throughout the
math curriculum
• Student-active teaching
techniques
• Dynamic geometry software,
spreadsheets, computer
algebra systems
11. What my students are doing right now
Calculus: Calculating derivatives using
algebra, spreadsheets, and graphing
software
Problem Solving: Constructing proofs for
mathematical conjectures using classical
logic and argumentation
Geometry: Using dynamic geometry
software to discover and prove theorems
about circles
12. What my students have done in the past
Online student solutions
Wiki on cryptology during
manual to prof’s course
World War II
notes in Modern Algebra
13. Contact
• Email: rtalbert@franklincollege.edu
• IM: rtalbert235 (AOL) or robert.talbert (Google)
• Twitter: RobertTalbert
• Web page: http://www.roberttalbert.net
• Blog: http://castingoutnines.wordpress.com
• Presentations: http://www.slideshare.net/rtalbert (Includes this
presentation)