Annual Report 2020 Annual Report 2020
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Western Cape Education Department
WESTERN CAPE EDUCATION DEPARTMENT CRITERIA FOR THE NATIONAL SENIOR CERTIFICATE (NSC) AWARDS FOR 2011 AWARDS TO SCHOOLS CATEGORY 1 - EXCELLENCE IN ACADEMIC PERFORMANCE In this category, awards are made to the top twenty schools in the province (including independent schools) that have achieved excellence in academic results in 2011, based on the following criteria: (a) Consistency in number of grade 12 candidates over a period of 3 years (at least 90%) of previous years (b) an overall pass rate of at least 95% in 2011 (c) % of candidates with access to Bachelor’s degree (d) % of candidates with Mathematics passes Each school will receive an award of R15 000 for the purchase of teaching and learning support material. CATEGORY 1: EXCELLENCE IN ACADEMIC PERFORMANCE No SCHOOL NAME 1. Rustenburg High School for Girls’ 2. Herschel Girls School 3. Diocesan College 4. Herzlia High School 5. Rondebosch Boys’ High School 6. Westerford High School 7. Hoër Meisieskool Bloemhof 8. South African College High School 9. Centre of Science and Technology 10. Paul Roos Gimnasium 11. York High School 12. Stellenberg High School 13. Wynberg Boys’ High School 14. Paarl Gimnasium 15. The Settlers High School 16. Hoër Meisieskool La Rochelle 17. Hoërskool Durbanville 18. Hoërskool Vredendal 19. Stellenbosch High School 20. Hoërskool Overberg 21. South Peninsula High School 22. Norman Henshilwood High School 2 CATEGORY 2 - MOST IMPROVED SCHOOLS Category 2a: Most improved Public Schools Awards will be made to schools that have shown the greatest improvement in the numbers that pass over the period 2009-2011. Improvement is measured in terms of the numbers passing. -
5 March 2020 Issue No. 4/20 Dear Parents/Guardians CULTURE Alice Dance Auditions Grade 8
5 March 2020 Issue No. 4/20 Dear Parents/Guardians CULTURE Alice dance auditions Grade 8 – 12 learners are invited to sign up for the Alice dance auditions taking place Friday, 13 March from 14:00 until late (time to be confirmed). Sign up for the auditions outside Ms Amann’s class (Room 18). No preparation is required; you will be taught specific choreography on the day. Grade 12 Directors’ Festival Eight talented Grade 12 Drama learners are participating in this year's Directors’ Festival. This project forms part of their curriculum. Our Grade 12s had to write their own short one-act plays, hold auditions and cast their actors. The next step is staging and directing their plays which will be performed on 18 and 19 March 2020. Each of these productions is highly entertaining and of an excellent quality. More information regarding performance times is to follow. Mr and Miss Curro – 22 April 2020 The countdown has begun, and the excitement is mounting. The first stage of the Fashion Extravaganza – the nomination process – is underway. The announcement of the twenty lucky contestants will be made on 9 March. The team has a lot planned and we are looking forward to a wonderful journey with excellent contestants. GENERAL Class leaders Congratulations to the following Grade 8 learners who have been elected as class leaders. Grade 8 8A1 Mila Crous Dewalt Punt 8A2 Mia Kotze Zack Kunz 8E1 Hope Buthelezi Lillian Ashton 8E2 Buhle Mahiqana Erin de Beer 8E3 Joy Holcombe Thato Mapinga 8E4 Jared Isaacs Chloe Matthys 8E5 Kate Wilkinson Dylan Gilbert Please see the correction regarding the Grade 9E3 class leaders below: Grade 9 9E3 Joshua Beckley Sharadh Narsingh Science Expo Internal Round – 4 May 2020 Learners are hard at work on their research projects. -
For Parents & Daughters
RHENISH NEWS For parents & daughters 23/03/2018 Rhenish Girls’ High School aims to provide its learners with an education of the highest quality and is committed to providing an environment that is conducive to effective teaching and learning. All learners, regardless of their intellectual abilities, social backgrounds and academic aspirations, are encouraged to develop their full potential, to strive for excellence in all they do, and to become responsible, caring and productive citizens. Success … to what degree is it Important Notices a choice? 1. Paper III Exams: Success – irrespective of how one looks at it – takes hard work, Please note that Paper III (Creative and commitment and sacrifice. Often, we look at people we deem ‘successful’ Transactional Writing) for English and Afrikaans will take place on Monday 26 March and we wonder, “How do they do it?” or we may think, enviously to and Tuesday 27 March. Please ensure that ourselves, “They’re so lucky, good things always happen to them.” your daughter is present to write these exams The truth, however, is often a far more simple story. More often than not, – consult the policy document regarding the procedure for this on our website. Learners success is about identifying your goal and then almost singlemindedly who will not be here have already made pursuing that goal. It requires many sacrifices along the way: sometimes arrangements with Mrs van Dyk and will do they can be small sacrifices, like forgoing sugar in your tea or coffee; other these exams on 11 April (English) and 12 April times, they may require bigger sacrifices like not going on that holiday with (Afrikaans) after school. -
Anastasios Kyrillidis
Anastasios Kyrillidis CONTACT 3119 Duncan Hall INFORMATION 6100 Main Street, 77005 Tel: (+1) 713-348-4741 Houston, United States E-mail: [email protected] Website: akyrillidis.github.io RESEARCH Optimization for machine learning, convex and non-convex analysis and optimization, structured low dimensional INTERESTS models, large-scale computing, quantum computing. CADEMIC Rice University, Houston, USAA APPOINTMENTS Noah Harding Assistant Professor at Computer Science Dept. July 2018 - now University of Texas at Austin, Austin, USA Simons Foundation Postdoctoral Researcher November 2014 - August 2017 Member of WNCG PROFESSIONAL IBM T.J. Watson Research Center, New York (USA) APPOINTMENTS Goldstine PostDoctoral Fellow September 2017 - July 2018 EDUCATION Ecole´ Polytechnique F´ed´eralede Lausanne (EPFL), Lausanne, Switzerland Ph.D., School of Computer and Communication Sciences, September 2010 - October 2014. TEACHING AND Instructor SUPERVISING Rice University EXPERIENCE • COMP 414/514 — Optimization: Algorithms, complexity & approximations — Fall ‘19 • Students enrolled: 30 (28 G/2 UG) • Class evaluation — Overall quality: 1.54 (Rice mean: 1.76); Organization: 1.57 (Rice mean: 1.75); Chal- lenge: 1.5 (Rice 1.73) • Instructor evaluation — Effectiveness: 1.43 (Rice mean: 1.67); Presentation: 1.39 (Rice mean: 1.73); Knowledge: 1.29 (Rice mean: 1.56). — Fall ‘20 • Students enrolled: 30 (8 G/22 UG) • Class evaluation — Overall quality: 1.29 (Rice mean: 1.69); Organization: 1.28 (Rice mean: 1.69); Chal- lenge: 1.31 (Rice 1.68) • Instructor evaluation — Effectiveness: 1.21 (Rice mean: 1.58); Presentation: 1.17 (Rice mean: 1.63); Knowledge: 1.14 (Rice mean: 1.49). • COMP 545 — Advanced topics in optimization: From simple to complex ML systems — Spring ‘19 • Students enrolled: 10 • Class evaluation — Overall quality: 1.31 (Rice mean: 1.78); Organization: 1.23 (Rice mean: 1.79); Chal- lenge: 1.46 (Rice mean: 1.75). -
University of California San Diego
UNIVERSITY OF CALIFORNIA SAN DIEGO Sparse Recovery and Representation Learning A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Mathematics by Jingwen Liang Committee in charge: Professor Rayan Saab, Chair Professor Jelena Bradic Professor Massimo Franceschetti Professor Philip E. Gill Professor Tara Javidi 2020 Copyright Jingwen Liang, 2020 All rights reserved. The dissertation of Jingwen Liang is approved, and it is ac- ceptable in quality and form for publication on microfilm and electronically: Chair University of California San Diego 2020 iii DEDICATION To my loving family, friends and my advisor. iv TABLE OF CONTENTS Signature Page . iii Dedication . iv Table of Contents . .v List of Figures . vii Acknowledgements . viii Vita .............................................x Abstract of the Dissertation . xi Chapter 1 Introduction and Background . .1 1.1 Compressed Sensing and low-rank matrix recovery with prior infor- mations . .1 1.2 Learning Dictionary with Fast Transforms . .3 1.3 Deep Generative Model Using Representation Learning Techniques5 1.4 Contributions . .6 Chapter 2 Signal Recovery with Prior Information . .8 2.1 Introduction . .8 2.1.1 Compressive Sensing . .9 2.1.2 Low-rank matrix recovery . 10 2.1.3 Prior Information for Compressive Sensing and Low-rank matrix recovery . 12 2.1.4 Related Work . 13 2.1.5 Contributions . 21 2.1.6 Overview . 22 2.2 Low-rank Matrices Recovery . 22 2.2.1 Problem Setting and Notation . 22 2.2.2 Null Space Property of Low-rank Matrix Recovery . 23 2.3 Low-rank Matrix Recovery with Prior Information . 31 2.3.1 Support of low rank matrices . -
African Institute for Mathematical Sciences Schools Enrichment Centre
AFRICAN INSTITUTE FOR MATHEMATICAL SCIENCES SCHOOLS ENRICHMENT CENTRE 6 MELROSE ROAD I MUIZENBERG 7945 I CAPE TOWN I SOUTH AFRICA [email protected] I aimssec.aims.ac.za I S S U E 1 7 SEPTEMBER 2019 INSIDE THIS ISSUE: The joint expression of interest of AIMS South Africa and Academy of Inquiry-Based 1/2 Science of South Africa (ASSAf) to Science Edu- host a Centre for Education in cation (IBSE) Science for Africa, the Mediterra- Workshop nean and Europe (CESAME) for teachers in South Africa, with its MT31 Course 1 inception dated as far back as October 2017, finally came to its Saturday 2 realisation in June 2019. AIMSSEC Maths Tutor- played a vital role in organising an ing Project Inquiry-Based Science Education at AZ Berman (IBSE) workshop which ran for five High School days at the Cape Teaching and by AIMS Leadership Institution (CTLI), is students the teacher professional develop- ment arm of the Western Cape Meeting 3 Education Department (WCED). between The workshop hosted international AIMSSEC and participants from Benin, Cameroon, Inclusive India, Italy, Morocco and Tunisia, CESAME participants Education was a resounding success. South Africa The workshop was facilitated by learning for the Sciences Ms Debbie Schãfer; two French Trainers from La main (including Mathematics) in collab- The 25th 3 • the Superintendent General of à la pâte: Mr Gilles Cappe and oration with like-minded institu- the Western Cape Education AMESA Annual Ms Isabella Pierre-Bes. tions within and across the South National Department (co-hosts), Mr Brian African borders. Schreuder; Congress The CESAME forms part of the broader African, Mediterranean Professor Odile Macchi from the • the Director of the AIMS South AIMSSEC: 4 and European project with the French Academy of Science, who Africa, Prof. -
Behind Every Good List, There Lies a Determined
CAREERS Careers, 18-Oct-2009-Page 11, Cyan Careers, 18-Oct-2009- Page 11, Magenta Careers, 18-Oct-2009-Page 11, Yellow Careers, 18-Oct-2009- Page 11, Black C-1 JDCP Sing the praises of these state schools Champions stand proud in SA’s public education landscape THE Sunday Times commissioned the “The intention of this was to reward University of the Witwatersrand’s visiting schools for the total number of pupils researcher Helen Perry to identify the Top encouraged to do these subjects, as well as 100 government schools in the country. how well these pupils did in the exams. The matrics of 2008, on which the survey “In so doing, we avoid unduly rewarding is based, are the first graduates of the new schools that selected only their best stu- curriculum introduced in stages 12 years dents to sit for these subjects.” ago. Schools with 50 or more pupils were The Sunday Times has revived the To p considered for the survey. 100 schools project, last undertaken by the The index considers academic achieve- newspaper 10 years ago, to give its readers ment and is calculated by combining these the information necessary to make “the five factors: single most important decision parents ■ Matric pass rate; will make — where to educate their chil- ■ Percentage of pupils with a university dren”, said Sunday Times editor Mondli entrance pass; M a k h a nya . ■ The average number of A symbols; “We also want to celebrate schools that ■ The number of maths candidates achieving have achieved excellence, demonstrate over 50%, as a percentage of all candidates why they performed so well, and highlight at the school; the top schools as role models for others to ■ The number of science candidates achiev- learn from,” he said. -
This Booklet
Applied Mathematics Department of Mathematical Sciences Research Projects 2018-2019 2 Forecasting solar and wind power outputs using deep learning approaches Research Team: Dr Bubacarr Bah In collaboration with University of Pretoria Highlights Identification of suitable locations of wind and solar farms in South Africa. Prediction of wind (solar) power from historical wind (solar) data, and other environmental factors, of South Africa using recurrent neural networks. Kalle Pihlajasaari / Wikimedia Commons / CC-BY-SA-3.0 Figure. Wind turbines at Darling, Western Cape. Applications Informed decision making by power producer in terms of integra- tion of renewable energies into existing electricity grids. Forecasting of energy prices. 3 Machine learning outcome prediction for coma patients Research Team: Dr Bubacarr Bah In collaboration with University of Cape Town Highlights Outcome prediction with Serial Neuron-Specific Enolase (SNSE) measurements from coma patients. The use of k-nearest neighbors (k-NN) for imputation of missing data shows promising results. Outcome prediction with EEG signals from coma patients. Using machine learning to determine the prognostic power of SNSE and EEG Figure. EEG and the determination of level of consciousness in coma patients. Applications Potential application in medical and health systems to improve diag- nosis (and treatment) of coma. 4 Data-driven river flow routing using deep learning Research Team: Dr Willie Brink and Prof Francois Smit MSc Student: Jaco Briers Highlights Predicting flow along the lower Orange River in South Africa, for improved release scheduling at the Vanderkloof Dam, using recur- rent neural networks as well as feedforward convolutional neural networks trained on historical time series records. -
Tuesday July 9, 1.45-8.00 Pm
Tuesday July 9, 1.45-8.00 pm 1.45-2.45 Combinatorial compressed sensing with expanders Bubacarr Bah Wegener Chair: Ana Gilbert Deep learning (invited session) Chair: Misha Belkin & Mahdi Soltanolkotabi 2:55-3:20 Reconciling modern machine learning practice and the classical bias-variance trade-off Mikhail Belkin, Daniel Hsu, Siyuan Ma & Soumik Mandal 3.20-3.45 Overparameterized Nonlinear Optimization with Applications to Neural Nets Samet Oymak 3.45-4.10 General Bounds for 1-Layer ReLU approximation Bolton R. Bailey & Matus Telgarsky 4.10-4.20 Short Break A9 Amphi 1 4.20-4.45 Generalization in deep nets: an empirical perspective Tom Goldstein 4.45-5.10 Neuron birth-death dynamics accelerates gradient descent and converges asymptotically Joan Bruna 5.45-8.00 Poster simposio Domaine du Haut-Carr´e Tuesday July 9, 1.45-8.00 pm 1.45-2.45 Combinatorial compressed sensing with expanders Bubacarr Bah Wegener Chair: Anna Gilbert Frame Theory Chair: Ole Christensen 2.55-3.20 Banach frames and atomic decompositions in the space of bounded operators on Hilbert spaces Peter Balazs 3.20-3.45 Frames by Iterations in Shift-invariant Spaces Alejandra Aguilera, Carlos Cabrelli, Diana Carbajal & Victoria Paternostro 3.45-4.10 Frame representations via suborbits of bounded operators Ole Christensen & Marzieh Hasannasabjaldehbakhani 4.10-4.20 Short Break 4.20-4.45 Sum-of-Squares Optimization and the Sparsity Structure A29 Amphi 2 of Equiangular Tight Frames Dmitriy Kunisky & Afonso Bandeira 4.45-5.10 Frame Potentials and Orthogonal Vectors Josiah Park 5.10-5.35 -
Yearbook 2015 Rhenish Girls' High School
Values YEARBOOK• Excellence 2015 • Compassion • Accountability • Integrity • Diversity • Respect1860 RHENISH GIRLS’ HIGH SCHOOL Phone: (021) 887 6807 Fax: (021) 887 8090 email: [email protected] or [email protected] Address: Koch Street, Stellenbosch 7599 website: www.rhenish.co.za Rhenish Girls’ High School aims to provide its learners with an education of the highest quality and is committed to providing an environment that is conducive to effective teaching and learning. All learners, regardless of their intellectual abilities, social backgrounds and academic aspirations, are encouraged to develop their full potential, to strive for excellence in all they do, and to become responsible, caring and productive citizens. Contents Acknowledgements Leaders ...................................................................................................2 Editor Hostel News ............................................................................. 14 Mrs Sharon Hershaw Academic ...................................................................................... 17 In-house Photography RGHS Class of 2015 ..................................................... 36 Mrs Francoise Arzul Creative Expressions ................................................. 55 Group Photographs Inter-House ............................................................................... 62 Mr Julian Kruger of Fokus Photography Sport ...................................................................................................... 65 Arrangements -
DIFFUSION MAPS 43 5.1 Clustering
Di®usion Maps: Analysis and Applications Bubacarr Bah Wolfson College University of Oxford A dissertation submitted for the degree of MSc in Mathematical Modelling and Scienti¯c Computing September 2008 This thesis is dedicated to my family, my friends and my country for the unflinching moral support and encouragement. Acknowledgements I wish to express my deepest gratitude to my supervisor Dr Radek Erban for his constant support and valuable supervision. I consider myself very lucky to be supervised by a person of such a wonderful personality and enthusiasm. Special thanks to Prof I. Kevrekidis for showing interest in my work and for motivating me to do Section 4.3 and also for sending me some material on PCA. I am grateful to the Commonwealth Scholarship Council for funding this MSc and the Scholarship Advisory Board (Gambia) for nominating me for the Commonwealth Scholarship award. Special thanks to the President Alh. Yahya A.J.J. Jammeh, the SOS and the Permanent Secretary of the DOSPSE for being very instrumental in my nomination for this award. My gratitude also goes to my employer and former university, University of The Gambia, for giving me study leave. I appreciate the understanding and support given to me by my wife during these trying days of my studies and research. Contents 1 INTRODUCTION 2 1.1 The dimensionality reduction problem . 2 1.1.1 Algorithm . 4 1.2 Illustrative Examples . 5 1.2.1 A linear example . 5 1.2.2 A nonlinear example . 8 1.3 Discussion . 9 2 THE CHOICE OF WEIGHTS 13 2.1 Optimal Embedding . -
Structured Msc in Mathematical Sciences - January 2021 Intake
` Structured MSc in Mathematical Sciences - January 2021 intake Courses overview and abstracts Dates Course Lecturer Affiliation 22-26 February Introduction to Computing and 2021 LaTeX Jan Groenewald AIMS South Africa Paul Taylor National Institutes of Health Python Programming Martha Kamkuemah Stellenbosch University The Geometry of Maxwell’s Tevian Dray Equations Corinne Manogue Oregon State University 1-19 March Ronnie Becker Financial Mathematics Hans-Georg Zimmerman AIMS South Africa 2021 Bubacarr Bah AIMS South Africa Pete Grindrod Oxford University Data Science Hans-Georg Zimmerman Fraunhofer IBMT African Centre for Advanced Experimental Mathematics with Yae Gaba Studies Sage Evans Doe Ocansey Johannes Keppler University Introduction to Random Systems, Information Theory, and related topics Stéphane Ouvry Université Paris Saclay 22 March to 9 Networks Phil Knight University of Strathclyde April 2021 Introduction to Multiscale Models and their Analysis Jacek Banasiak University of Pretoria Analytical Techniques in Mathematical Biology Lyndsay Kerr Edinburgh University 12- 30 April Wolfram Decker and 2021 Computational Algebra Gerhard Pfister TU Kaiserslautern Grae Worster University of Cambridge Fluid Dynamics Richard Katz University of Oxford 3-7 May Reading week 10-28 May Probability and Statistics Daniel Nickelsen AIMS South Africa 2021 Biophysics at the Microscale Daisuke Takagi University of Hawaii at Manoa Symmetry Analysis of Masood Khalique North-West University Differential Equations Abdul Kara University of the Witwatersrand