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DTSTART:20261009T103000Z
DTEND:20261009T113000Z
DTSTAMP:20261009T000000Z
SUMMARY:Master Classes: Python Maths - ONLINE
DESCRIPTION:\na {\n    text-decoration: none\;\n    color: #464feb\;\n}\ntr 
 th\, tr td {\n    border: 1px solid #e6e6e6\;\n}\ntr th {\n    
 background-color: #f5f5f5\;\n}\n\n\n\nMaster Classes\n\nPython for 
 Mathematics\, Data Science\, Engineering & Scientific Computing\n\nWould 
 you like to learn Python or strengthen your programming skills for 
 mathematics\, statistics\, engineering and data analysis?\n\nPython is one 
 of the world's most popular programming languages and is widely used in 
 Engineering\, Data Science\, Artificial Intelligence\, Finance\, 
 Mathematics\, Scientific Research and Industry. This six-week workshop 
 series is designed to introduce students to Python through practical 
 mathematical examples and real-world applications.\n\nWhether you are 
 completely new to programming or already have some coding experience\, 
 these workshops will help you develop confidence using Python to solve 
 mathematical problems\, analyse data\, visualise results and build 
 computational models.\n\nStudents studying Engineering\, Mathematics\, 
 Computing\, Data Science\, Statistics\, Psychology\, Finance\, Economics\, 
 Business and other quantitative disciplines will find these workshops 
 particularly valuable.\n\n\nWorkshop Dates\n\n\n	9 October 2026\n	16 
 October 2026\n	23 October 2026\n	30 October 2026\n	13 November 
 2026\n\n\nTime: 11:30 am – 12:30 p.m\n\nFormat: Live via Microsoft 
 Teams\n\n\nTopics Covered\n\nPython programming fundamentals\, variables\, 
 scripts\, functions and mathematical operations\; arithmetic calculations\, 
 percentages\, growth calculations\, unit conversions\, prime numbers\, 
 factorisation\, GCD and LCM\; algebraic expressions\, symbolic 
 substitution\, expansion and factorisation\, solving linear and quadratic 
 equations\, systems of equations and complex numbers\; descriptive 
 statistics\, probability\, combinations\, permutations\, binomial and 
 Poisson distributions\, normal distributions\, confidence intervals and 
 hypothesis testing\; graph sketching and visualisation using Matplotlib 
 including line graphs\, quadratic\, cubic\, reciprocal and exponential 
 functions\, scatter plots\, histograms\, box plots\, cumulative frequency 
 graphs\, regression lines and probability distributions\; linear algebra 
 and vector mathematics including vectors\, matrices\, matrix 
 multiplication\, determinants\, inverses\, transformations and 
 trigonometry\; and advanced applications including Monte Carlo 
 simulations\, Markov models\, bootstrap sampling\, gradient descent 
 optimisation\, random walks and computational modelling. \n\n\nWhy 
 Attend?\n\n\n	Learn Python from the ground up in a supportive 
 environment.\n	Develop practical coding skills that are highly sought after 
 by employers.\n	Improve confidence with mathematics\, statistics\, data 
 analysis and scientific computing.\n	Learn techniques useful for 
 coursework\, projects\, dissertations and research.\n	Gain experience with 
 one of the most widely used programming languages in industry and 
 academia.\n	Explore topics used in Engineering\, Data Science\, Artificial 
 Intelligence and Mathematical Modelling.\n	Receive Python examples\, notes 
 and supporting workshop materials.\n\n\n\nWho Should Attend?\n\nThis 
 workshop is ideal for students studying Engineering\, Mathematics\, 
 Computing\, Data Science\, Statistics\, Economics\, Finance\, Business\, 
 Psychology and other quantitative subjects. It is suitable for complete 
 beginners as well as students who already have some Python experience and 
 would like to develop more advanced skills.\n\nParticipants may attend 
 individual sessions or complete the full workshop series.\n\nReserve Your 
 Place\n\nPlaces are limited and registration is required.\n\nFor 
 enquiries\, contact maths@bournemouth.ac.uk\n\nSerkan Karakus\nSenior Maths 
 Tutor\nBournemouth University\n\nRegistration is required. Limited spaces 
 available.\n\nTo claim this activity towards your Employability Skills  
 Award\, please sign up to the programme using the Employability Skills 
 Award Registration Form.   \n
ORGANIZER;CN="Serkan Karakus":MAILTO:skarakus@bournemouth.ac.uk
CATEGORIES:Maths
CONTACT;CN="Serkan Karakus":MAILTO:skarakus@bournemouth.ac.uk
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DTSTART:20261016T103000Z
DTEND:20261016T113000Z
DTSTAMP:20261016T000000Z
SUMMARY:Master Classes: Python Maths - ONLINE
DESCRIPTION:\na {\n    text-decoration: none\;\n    color: #464feb\;\n}\ntr 
 th\, tr td {\n    border: 1px solid #e6e6e6\;\n}\ntr th {\n    
 background-color: #f5f5f5\;\n}\n\n\n\nMaster Classes\n\nPython for 
 Mathematics\, Data Science\, Engineering & Scientific Computing\n\nWould 
 you like to learn Python or strengthen your programming skills for 
 mathematics\, statistics\, engineering and data analysis?\n\nPython is one 
 of the world's most popular programming languages and is widely used in 
 Engineering\, Data Science\, Artificial Intelligence\, Finance\, 
 Mathematics\, Scientific Research and Industry. This six-week workshop 
 series is designed to introduce students to Python through practical 
 mathematical examples and real-world applications.\n\nWhether you are 
 completely new to programming or already have some coding experience\, 
 these workshops will help you develop confidence using Python to solve 
 mathematical problems\, analyse data\, visualise results and build 
 computational models.\n\nStudents studying Engineering\, Mathematics\, 
 Computing\, Data Science\, Statistics\, Psychology\, Finance\, Economics\, 
 Business and other quantitative disciplines will find these workshops 
 particularly valuable.\n\n\nWorkshop Dates\n\n\n	9 October 2026\n	16 
 October 2026\n	23 October 2026\n	30 October 2026\n	13 November 
 2026\n\n\nTime: 11:30 am – 12:30 p.m\n\nFormat: Live via Microsoft 
 Teams\n\n\nTopics Covered\n\nPython programming fundamentals\, variables\, 
 scripts\, functions and mathematical operations\; arithmetic calculations\, 
 percentages\, growth calculations\, unit conversions\, prime numbers\, 
 factorisation\, GCD and LCM\; algebraic expressions\, symbolic 
 substitution\, expansion and factorisation\, solving linear and quadratic 
 equations\, systems of equations and complex numbers\; descriptive 
 statistics\, probability\, combinations\, permutations\, binomial and 
 Poisson distributions\, normal distributions\, confidence intervals and 
 hypothesis testing\; graph sketching and visualisation using Matplotlib 
 including line graphs\, quadratic\, cubic\, reciprocal and exponential 
 functions\, scatter plots\, histograms\, box plots\, cumulative frequency 
 graphs\, regression lines and probability distributions\; linear algebra 
 and vector mathematics including vectors\, matrices\, matrix 
 multiplication\, determinants\, inverses\, transformations and 
 trigonometry\; and advanced applications including Monte Carlo 
 simulations\, Markov models\, bootstrap sampling\, gradient descent 
 optimisation\, random walks and computational modelling. \n\n\nWhy 
 Attend?\n\n\n	Learn Python from the ground up in a supportive 
 environment.\n	Develop practical coding skills that are highly sought after 
 by employers.\n	Improve confidence with mathematics\, statistics\, data 
 analysis and scientific computing.\n	Learn techniques useful for 
 coursework\, projects\, dissertations and research.\n	Gain experience with 
 one of the most widely used programming languages in industry and 
 academia.\n	Explore topics used in Engineering\, Data Science\, Artificial 
 Intelligence and Mathematical Modelling.\n	Receive Python examples\, notes 
 and supporting workshop materials.\n\n\n\nWho Should Attend?\n\nThis 
 workshop is ideal for students studying Engineering\, Mathematics\, 
 Computing\, Data Science\, Statistics\, Economics\, Finance\, Business\, 
 Psychology and other quantitative subjects. It is suitable for complete 
 beginners as well as students who already have some Python experience and 
 would like to develop more advanced skills.\n\nParticipants may attend 
 individual sessions or complete the full workshop series.\n\nReserve Your 
 Place\n\nPlaces are limited and registration is required.\n\nFor 
 enquiries\, contact maths@bournemouth.ac.uk\n\nSerkan Karakus\nSenior Maths 
 Tutor\nBournemouth University\n\nRegistration is required. Limited spaces 
 available.\n\nTo claim this activity towards your Employability Skills  
 Award\, please sign up to the programme using the Employability Skills 
 Award Registration Form.   \n
ORGANIZER;CN="Serkan Karakus":MAILTO:skarakus@bournemouth.ac.uk
CATEGORIES:Maths
CONTACT;CN="Serkan Karakus":MAILTO:skarakus@bournemouth.ac.uk
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DTSTART:20261023T103000Z
DTEND:20261023T113000Z
DTSTAMP:20261023T000000Z
SUMMARY:Master Classes: Python Maths - ONLINE
DESCRIPTION:\na {\n    text-decoration: none\;\n    color: #464feb\;\n}\ntr 
 th\, tr td {\n    border: 1px solid #e6e6e6\;\n}\ntr th {\n    
 background-color: #f5f5f5\;\n}\n\n\n\nMaster Classes\n\nPython for 
 Mathematics\, Data Science\, Engineering & Scientific Computing\n\nWould 
 you like to learn Python or strengthen your programming skills for 
 mathematics\, statistics\, engineering and data analysis?\n\nPython is one 
 of the world's most popular programming languages and is widely used in 
 Engineering\, Data Science\, Artificial Intelligence\, Finance\, 
 Mathematics\, Scientific Research and Industry. This six-week workshop 
 series is designed to introduce students to Python through practical 
 mathematical examples and real-world applications.\n\nWhether you are 
 completely new to programming or already have some coding experience\, 
 these workshops will help you develop confidence using Python to solve 
 mathematical problems\, analyse data\, visualise results and build 
 computational models.\n\nStudents studying Engineering\, Mathematics\, 
 Computing\, Data Science\, Statistics\, Psychology\, Finance\, Economics\, 
 Business and other quantitative disciplines will find these workshops 
 particularly valuable.\n\n\nWorkshop Dates\n\n\n	9 October 2026\n	16 
 October 2026\n	23 October 2026\n	30 October 2026\n	13 November 
 2026\n\n\nTime: 11:30 am – 12:30 p.m\n\nFormat: Live via Microsoft 
 Teams\n\n\nTopics Covered\n\nPython programming fundamentals\, variables\, 
 scripts\, functions and mathematical operations\; arithmetic calculations\, 
 percentages\, growth calculations\, unit conversions\, prime numbers\, 
 factorisation\, GCD and LCM\; algebraic expressions\, symbolic 
 substitution\, expansion and factorisation\, solving linear and quadratic 
 equations\, systems of equations and complex numbers\; descriptive 
 statistics\, probability\, combinations\, permutations\, binomial and 
 Poisson distributions\, normal distributions\, confidence intervals and 
 hypothesis testing\; graph sketching and visualisation using Matplotlib 
 including line graphs\, quadratic\, cubic\, reciprocal and exponential 
 functions\, scatter plots\, histograms\, box plots\, cumulative frequency 
 graphs\, regression lines and probability distributions\; linear algebra 
 and vector mathematics including vectors\, matrices\, matrix 
 multiplication\, determinants\, inverses\, transformations and 
 trigonometry\; and advanced applications including Monte Carlo 
 simulations\, Markov models\, bootstrap sampling\, gradient descent 
 optimisation\, random walks and computational modelling. \n\n\nWhy 
 Attend?\n\n\n	Learn Python from the ground up in a supportive 
 environment.\n	Develop practical coding skills that are highly sought after 
 by employers.\n	Improve confidence with mathematics\, statistics\, data 
 analysis and scientific computing.\n	Learn techniques useful for 
 coursework\, projects\, dissertations and research.\n	Gain experience with 
 one of the most widely used programming languages in industry and 
 academia.\n	Explore topics used in Engineering\, Data Science\, Artificial 
 Intelligence and Mathematical Modelling.\n	Receive Python examples\, notes 
 and supporting workshop materials.\n\n\n\nWho Should Attend?\n\nThis 
 workshop is ideal for students studying Engineering\, Mathematics\, 
 Computing\, Data Science\, Statistics\, Economics\, Finance\, Business\, 
 Psychology and other quantitative subjects. It is suitable for complete 
 beginners as well as students who already have some Python experience and 
 would like to develop more advanced skills.\n\nParticipants may attend 
 individual sessions or complete the full workshop series.\n\nReserve Your 
 Place\n\nPlaces are limited and registration is required.\n\nFor 
 enquiries\, contact maths@bournemouth.ac.uk\n\nSerkan Karakus\nSenior Maths 
 Tutor\nBournemouth University\n\nRegistration is required. Limited spaces 
 available.\n\nTo claim this activity towards your Employability Skills  
 Award\, please sign up to the programme using the Employability Skills 
 Award Registration Form.   \n
ORGANIZER;CN="Serkan Karakus":MAILTO:skarakus@bournemouth.ac.uk
CATEGORIES:Maths
CONTACT;CN="Serkan Karakus":MAILTO:skarakus@bournemouth.ac.uk
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DTSTART:20261030T113000Z
DTEND:20261030T123000Z
DTSTAMP:20261030T000000Z
SUMMARY:Master Classes: Python Maths - ONLINE
DESCRIPTION:\na {\n    text-decoration: none\;\n    color: #464feb\;\n}\ntr 
 th\, tr td {\n    border: 1px solid #e6e6e6\;\n}\ntr th {\n    
 background-color: #f5f5f5\;\n}\n\n\n\nMaster Classes\n\nPython for 
 Mathematics\, Data Science\, Engineering & Scientific Computing\n\nWould 
 you like to learn Python or strengthen your programming skills for 
 mathematics\, statistics\, engineering and data analysis?\n\nPython is one 
 of the world's most popular programming languages and is widely used in 
 Engineering\, Data Science\, Artificial Intelligence\, Finance\, 
 Mathematics\, Scientific Research and Industry. This six-week workshop 
 series is designed to introduce students to Python through practical 
 mathematical examples and real-world applications.\n\nWhether you are 
 completely new to programming or already have some coding experience\, 
 these workshops will help you develop confidence using Python to solve 
 mathematical problems\, analyse data\, visualise results and build 
 computational models.\n\nStudents studying Engineering\, Mathematics\, 
 Computing\, Data Science\, Statistics\, Psychology\, Finance\, Economics\, 
 Business and other quantitative disciplines will find these workshops 
 particularly valuable.\n\n\nWorkshop Dates\n\n\n	9 October 2026\n	16 
 October 2026\n	23 October 2026\n	30 October 2026\n	13 November 
 2026\n\n\nTime: 11:30 am – 12:30 p.m\n\nFormat: Live via Microsoft 
 Teams\n\n\nTopics Covered\n\nPython programming fundamentals\, variables\, 
 scripts\, functions and mathematical operations\; arithmetic calculations\, 
 percentages\, growth calculations\, unit conversions\, prime numbers\, 
 factorisation\, GCD and LCM\; algebraic expressions\, symbolic 
 substitution\, expansion and factorisation\, solving linear and quadratic 
 equations\, systems of equations and complex numbers\; descriptive 
 statistics\, probability\, combinations\, permutations\, binomial and 
 Poisson distributions\, normal distributions\, confidence intervals and 
 hypothesis testing\; graph sketching and visualisation using Matplotlib 
 including line graphs\, quadratic\, cubic\, reciprocal and exponential 
 functions\, scatter plots\, histograms\, box plots\, cumulative frequency 
 graphs\, regression lines and probability distributions\; linear algebra 
 and vector mathematics including vectors\, matrices\, matrix 
 multiplication\, determinants\, inverses\, transformations and 
 trigonometry\; and advanced applications including Monte Carlo 
 simulations\, Markov models\, bootstrap sampling\, gradient descent 
 optimisation\, random walks and computational modelling. \n\n\nWhy 
 Attend?\n\n\n	Learn Python from the ground up in a supportive 
 environment.\n	Develop practical coding skills that are highly sought after 
 by employers.\n	Improve confidence with mathematics\, statistics\, data 
 analysis and scientific computing.\n	Learn techniques useful for 
 coursework\, projects\, dissertations and research.\n	Gain experience with 
 one of the most widely used programming languages in industry and 
 academia.\n	Explore topics used in Engineering\, Data Science\, Artificial 
 Intelligence and Mathematical Modelling.\n	Receive Python examples\, notes 
 and supporting workshop materials.\n\n\n\nWho Should Attend?\n\nThis 
 workshop is ideal for students studying Engineering\, Mathematics\, 
 Computing\, Data Science\, Statistics\, Economics\, Finance\, Business\, 
 Psychology and other quantitative subjects. It is suitable for complete 
 beginners as well as students who already have some Python experience and 
 would like to develop more advanced skills.\n\nParticipants may attend 
 individual sessions or complete the full workshop series.\n\nReserve Your 
 Place\n\nPlaces are limited and registration is required.\n\nFor 
 enquiries\, contact maths@bournemouth.ac.uk\n\nSerkan Karakus\nSenior Maths 
 Tutor\nBournemouth University\n\nRegistration is required. Limited spaces 
 available.\n\nTo claim this activity towards your Employability Skills  
 Award\, please sign up to the programme using the Employability Skills 
 Award Registration Form.   \n
ORGANIZER;CN="Serkan Karakus":MAILTO:skarakus@bournemouth.ac.uk
CATEGORIES:Maths
CONTACT;CN="Serkan Karakus":MAILTO:skarakus@bournemouth.ac.uk
STATUS:CONFIRMED
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URL:https://libcal.bournemouth.ac.uk/event/4570134
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DTSTART:20261113T113000Z
DTEND:20261113T123000Z
DTSTAMP:20261113T000000Z
SUMMARY:Master Classes: Python Maths - ONLINE
DESCRIPTION:\na {\n    text-decoration: none\;\n    color: #464feb\;\n}\ntr 
 th\, tr td {\n    border: 1px solid #e6e6e6\;\n}\ntr th {\n    
 background-color: #f5f5f5\;\n}\n\n\n\nMaster Classes\n\nPython for 
 Mathematics\, Data Science\, Engineering & Scientific Computing\n\nWould 
 you like to learn Python or strengthen your programming skills for 
 mathematics\, statistics\, engineering and data analysis?\n\nPython is one 
 of the world's most popular programming languages and is widely used in 
 Engineering\, Data Science\, Artificial Intelligence\, Finance\, 
 Mathematics\, Scientific Research and Industry. This six-week workshop 
 series is designed to introduce students to Python through practical 
 mathematical examples and real-world applications.\n\nWhether you are 
 completely new to programming or already have some coding experience\, 
 these workshops will help you develop confidence using Python to solve 
 mathematical problems\, analyse data\, visualise results and build 
 computational models.\n\nStudents studying Engineering\, Mathematics\, 
 Computing\, Data Science\, Statistics\, Psychology\, Finance\, Economics\, 
 Business and other quantitative disciplines will find these workshops 
 particularly valuable.\n\n\nWorkshop Dates\n\n\n	9 October 2026\n	16 
 October 2026\n	23 October 2026\n	30 October 2026\n	13 November 
 2026\n\n\nTime: 11:30 am – 12:30 p.m\n\nFormat: Live via Microsoft 
 Teams\n\n\nTopics Covered\n\nPython programming fundamentals\, variables\, 
 scripts\, functions and mathematical operations\; arithmetic calculations\, 
 percentages\, growth calculations\, unit conversions\, prime numbers\, 
 factorisation\, GCD and LCM\; algebraic expressions\, symbolic 
 substitution\, expansion and factorisation\, solving linear and quadratic 
 equations\, systems of equations and complex numbers\; descriptive 
 statistics\, probability\, combinations\, permutations\, binomial and 
 Poisson distributions\, normal distributions\, confidence intervals and 
 hypothesis testing\; graph sketching and visualisation using Matplotlib 
 including line graphs\, quadratic\, cubic\, reciprocal and exponential 
 functions\, scatter plots\, histograms\, box plots\, cumulative frequency 
 graphs\, regression lines and probability distributions\; linear algebra 
 and vector mathematics including vectors\, matrices\, matrix 
 multiplication\, determinants\, inverses\, transformations and 
 trigonometry\; and advanced applications including Monte Carlo 
 simulations\, Markov models\, bootstrap sampling\, gradient descent 
 optimisation\, random walks and computational modelling. \n\n\nWhy 
 Attend?\n\n\n	Learn Python from the ground up in a supportive 
 environment.\n	Develop practical coding skills that are highly sought after 
 by employers.\n	Improve confidence with mathematics\, statistics\, data 
 analysis and scientific computing.\n	Learn techniques useful for 
 coursework\, projects\, dissertations and research.\n	Gain experience with 
 one of the most widely used programming languages in industry and 
 academia.\n	Explore topics used in Engineering\, Data Science\, Artificial 
 Intelligence and Mathematical Modelling.\n	Receive Python examples\, notes 
 and supporting workshop materials.\n\n\n\nWho Should Attend?\n\nThis 
 workshop is ideal for students studying Engineering\, Mathematics\, 
 Computing\, Data Science\, Statistics\, Economics\, Finance\, Business\, 
 Psychology and other quantitative subjects. It is suitable for complete 
 beginners as well as students who already have some Python experience and 
 would like to develop more advanced skills.\n\nParticipants may attend 
 individual sessions or complete the full workshop series.\n\nReserve Your 
 Place\n\nPlaces are limited and registration is required.\n\nFor 
 enquiries\, contact maths@bournemouth.ac.uk\n\nSerkan Karakus\nSenior Maths 
 Tutor\nBournemouth University\n\nRegistration is required. Limited spaces 
 available.\n\nTo claim this activity towards your Employability Skills  
 Award\, please sign up to the programme using the Employability Skills 
 Award Registration Form.   \n
ORGANIZER;CN="Serkan Karakus":MAILTO:skarakus@bournemouth.ac.uk
CATEGORIES:Maths
CONTACT;CN="Serkan Karakus":MAILTO:skarakus@bournemouth.ac.uk
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URL:https://libcal.bournemouth.ac.uk/event/4570136
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